This version of BIP! Finder aims to ease the exploration of COVID-19-related literature by enabling ranking articles based on various impact metrics.
Last Update: 18 - 01 - 2023 (628506 entries)
Popularity: Citation-based measure reflecting the current impact.
Influence: Citation-based measure reflecting the total impact.
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Social Media Attention: The number of recent tweets related to this article.
*More details on these impact measures can be found here.
Exceptional score (in top 0.01%).
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CORD-19 dataset(1) (list of papers)
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| Title | Venue | Year | Impact | Source | |
|---|---|---|---|---|---|
| 5751 | Prevalence of depression, anxiety and stress during the COVID-19 pandemic: a cross-sectional study among Palestinian students (10-18 years) BACKGROUND: The COVID-19 pandemic considers a threat to students’ well-being and mental health. The current descriptive cross-sectional study aims to identify psychological distress among school students during the lockdown period. METHODS: This study was carried out in a sample of 420 primary and secondary school students from June 10 to July 13, 2020, in the Gaza Strip in Palestine. Data was collected using an online questionnaire that included informed consent, socio-demographic questions, and a psychometric scale (DASS-21). RESULTS: The results revealed that most students experienced moderate to severe levels of anxiety (89.1%) and depression (72.1%), whereas less than half of them (35.7%) experienced moderate to severe stress. Stress, anxiety and depression scores were significantly different across gender, age groups, family size, and family's economic status. The results showed that gender (β = -0.174, p < 0.001), age (β = −0.155, p = 0.001) and economic level of family (β = −0.147, p = 0.002) were negative predictors correlated with stress. Family size (β = 0.156, p = 0.001) played a positive role in stress. It was found that gender (β = −0.105, p = 0.031), age (β = −0.135, p = 0.006) and economic level of family (β = −0.136, p = 0.005) were negative predictors correlated with anxiety, whereas family size (β = 0.139, p = 0.004) played a positive role in anxiety. For depression, gender (β = −0.162, p = 0.001), age (β = −0.160, p = 0.001) and economic level of family (β = −0.131, p = 0.007) were negative predictors correlated with depression, whereas family size (β = −0.133, p = 0.006) was found to be a positive predictor. Concerns about the influence of COVID-19 on economic, education, and daily life were positively correlated to the levels of depression, anxiety and stress, whereas the availability of social support was negatively correlated. CONCLUSION: The development of a health protocol for influenced students is urgently needed to maintain them remain resilient during dangerous times. | BMC Psychol | 2021 | LitCov and CORD-19 | |
| 5752 | Revisiting the levels of Aerosol Optical Depth in south-southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations The countries around the world are dealing with air quality issues for decades due to their mode of production and energy usages. The outbreak of COVID-19 as a pandemic and consequent global economic shutdown, for the first time, provided a base for the real-time experiment of the effect of reduced emissions across the globe in abetting the air pollution issue. The present study dealt with the changes in Aerosol Optical Depth (AOD), a marker of air pollution, because of global economic shutdown due to the coronavirus pandemic. The study considered the countries in south and south-east Asia (SSEA), Europe and the USA for their extended period of lockdown due to coronavirus pandemic. Daily Aerosol Optical Depth (AOD) from Moderate-resolution imaging spectroradiometer (MODIS) and tropospheric column density of NO(2) and SO(2) from Ozone monitoring instrument (OMI) sensors, including meteorological data such as wind speed (WS) and relative humidity (RH) were analyzed during the pre-lockdown (2017 – 2019) and lockdown periods (2020). The average AOD, NO(2) and SO(2) during the lockdown period were statistically compared with their pre-lockdown average using Wilcoxon-signed-paired-rank test. The accuracy of the MODIS-derived AOD, including the changing pattern of AOD due to lockdown was estimated using AERONET data. The weekly anomaly of AOD, NO(2) and SO(2) was used for analyzing the space-time variation of aerosol load as restrictions were imposed by the concerned countries at the different points of time. Additionally, a random forest-based regression (RF) model was used to examine the effects of meteorological and emission parameters on the spatial variation of AOD. A significant reduction of AOD (-20%) was obtained for majority of the areas in SSEA, Europe and USA during the lockdown period. Yet, the clusters of increased AOD (30 - 60%) was obtained in the south-east part of SSEA, the western part of Europe and US regions. NO(2) reductions were measured up to 20 - 40%, while SO(2) emission increased up to 30% for a majority of areas in these regions. A notable space-time variation was observed in weekly anomaly. We found the evidence of the formation of new particles for causing high AOD under high RH and low WS, aided by the downward vertical wind flow. The RF model showed a distinguishable relative importance of emission and meteorological factors among these regions to account for the spatial variability of AOD. Our findings suggest that the continued lockdown might provide a temporary solution to air pollution; however, to combat persistent air quality issues, it needs switching over to the cleaner mode of production and energy. The findings of this study, thus, advocated for alternative energy policy at the global scale. | Environ Res | 2020 | LitCov and CORD-19 | |
| 5753 | Impact of Population Growth and Aging on Estimates of Excess US Deaths During the COVID-19 Pandemic, March to August 2020 BACKGROUND: Excess death estimates quantify the full impact of the coronavirus disease 2019 (COVID-19) pandemic. Widely reported U.S. excess death estimates have not accounted for recent population changes, especially increases in the population older than 65 years. OBJECTIVE: To estimate excess deaths in the United States in 2020, after accounting for population changes. DESIGN: Surveillance study. SETTING: United States, March to August 2020. PARTICIPANTS: All decedents. MEASUREMENTS: Age-specific excess deaths in the United States from 1 March to 31 August 2020 compared with 2015 to 2019 were estimated, after changes in population size and age were taken into account, by using Centers for Disease Control and Prevention provisional death data and U.S. Census Bureau population estimates. Cause-specific excess deaths were estimated by month and age. RESULTS: From March through August 2020, 1 671 400 deaths were registered in the United States, including 173 300 COVID-19 deaths. An average of 1 370 000 deaths were reported over the same months during 2015 to 2019, for a crude excess of 301 400 deaths (128 100 non–COVID-19 deaths). However, the 2020 U.S. population includes 5.04 million more persons aged 65 years and older than the average population in 2015 to 2019 (a 10% increase). After population changes were taken into account, an estimated 217 900 excess deaths occurred from March through August 2020 (173 300 COVID-19 and 44 600 non–COVID-19 deaths). Most excess non–COVID-19 deaths occurred in April, July, and August, and 34 900 (78%) were in persons aged 25 to 64 years. Diabetes, Alzheimer disease, and heart disease caused the most non–COVID-19 excess deaths. LIMITATION: Provisional death data are underestimated because of reporting delays. CONCLUSION: The COVID-19 pandemic resulted in an estimated 218 000 excess deaths in the United States between March and August 2020, and 80% of those deaths had COVID-19 as the underlying cause. Accounting for population changes substantially reduced the excess non–COVID-19 death estimates, providing important information for guiding future clinical and public health interventions. PRIMARY FUNDING SOURCE: National Cancer Institute. | Ann Intern Med | 2020 | LitCov and CORD-19 | |
| 5754 | Content and Communication of Inpatient Family Visitation Policies During the COVID-19 Pandemic: Sequential Mixed Methods Study BACKGROUND: Inpatient health care facilities restricted inpatient visitation due to the COVID-19 pandemic. There is no existing evidence of how they communicated these policies to the public nor the impact of their communication choices on public perception. OBJECTIVE: This study aims to describe patterns of inpatient visitation policies during the initial peak of the COVID-19 pandemic in the United States and the communication of these policies to the general public, as well as to identify communication strategies that maximize positive impressions of the facility despite visitation restrictions. METHODS: We conducted a sequential, exploratory, mixed methods study including a qualitative analysis of COVID-19 era visitation policies published on Pennsylvania-based facility websites, as captured between April 30 and May 20, 2020 (ie, during the first peak of the COVID-19 pandemic in the United States). We also conducted a factorial survey-based experiment to test how key elements of hospitals’ visitation policy communication are associated with individuals’ willingness to seek care in October 2020. For analysis of the policies, we included all inpatient facilities in Pennsylvania. For the factorial experiment, US adults were drawn from internet research panels. The factorial survey-based experiment presented composite policies that varied in their justification for restricted visitation, the degree to which the facility expressed ownership of the policy, and the inclusion of family-centered care support plans. Our primary outcome was participants’ willingness to recommend the hypothetical facility using a 5-point Likert scale. RESULTS: We identified 104 unique policies on inpatient visitation from 363 facilities’ websites. The mean Flesch-Kincaid Grade Level for the policies was 14.2. Most policies prohibited family presence (99/104, 95.2%). Facilities justified the restricted visitation policies on the basis of community protection (59/104, 56.7%), authorities’ guidance or regulations (34/104, 32.7%), or scientific rationale (23/104, 22.1%). A minority (38/104, 36.5%) addressed how restrictive visitation may impair family-centered care. Most of the policies analyzed used passive voice to communicate restrictions. A total of 1321 participants completed the web-based survey. Visitation policy elements significantly associated with willingness to recommend the facility included justifications based on community protection (OR 1.44, 95% CI 1.24-1.68) or scientific rationale (OR 1.30, 95% CI 1.12-1.51), rather than those based on a governing authority. The facility expressed a high degree of ownership over the decision (OR 1.16, 95% CI 1.04-1.29), rather than a low degree of ownership; and inclusion of family-centered care support plans (OR 2.80, 95% CI 2.51-3.12), rather than no such support. CONCLUSIONS: Health systems can immediately improve public receptiveness of restrictive visitation policies by emphasizing community protection, ownership over the facility’s policy, and promoting family-centered care. | J Med Internet Res | 2021 | LitCov and CORD-19 | |
| 5755 | The Impact of the COVID-19 Pandemic on Sexual Behaviors: Findings From a National Survey in the United States Background: Studies from the first months of the COVID-19 pandemic and the resulting lockdown and social distancing measures have shown that there have been decreases in sexual frequency and relationship satisfaction. Aim. To evaluate the ongoing impact of the COVID-19 pandemic on sexual behavior, relationship satisfaction, and intimate partner violence in the U.S. using a large national convenience sample. Methods. 1,051 participants across the U.S. were recruited in October 2020 to complete a cross-sectional online survey. Outcomes: Participants were asked to retrospectively report their sexual behavior frequency, relationship satisfaction, and intimate partner violence during the pandemic and prior to the pandemic Results. There was a small but significant decrease in some retrospectively-reported partnered sexual activities, and men reported a small increase in masturbation and pornography use. There was no evidence for a change in relationship satisfaction or intimate partner violence, but both men and women reported a small decrease in sexual pleasure, and women reported a small decrease in sexual desire. The sexual behaviors with greatest reduction were casual sex, hookups, and number of partners, and the most diminished as aspect of sexual functioning was sexual enjoyment. Depression symptoms, relationship status, and perceived importance of social distancing emerged as predictors of these reductions. Less than half of individuals who engaged with casual sex partners before the start of the pandemic ceased this behavior completely after the start of the pandemic. Individuals waited on average 6-7 weeks before reengaging in casual sex. Clinical translation: These results inform public health response to the effects of the pandemic and add to our understanding of how the pandemic has continued to impact sexual behavior. Strengths and Limitations: This is the first known study to evaluate sexual behavior several months into the COVID-19 pandemic using a large national sample. However, the results of this study are limited by its convenience sampling method and cross-sectional design. Conclusions: These results indicate that the changes in sexual behavior observed in the early months of the pandemic have continued, with small but significant decreases in many partnered sexual behaviors and a small increase in men's solitary sexual behaviors. | J Sex Med | 2021 | LitCov and CORD-19 | |
| 5756 | Do suicide rates in children and adolescents change during school closure in Japan? The acute effect of the first wave of COVID-19 pandemic on child and adolescent mental health BACKGROUND: The coronavirus disease 2019 (COVID-19) has severely impacted the lives of children and adolescents. School closure, one of the critical changes during the first COVID-19 wave, caused decreases in social contacts and increases in family time for children and adolescents. This can have both positive and negative influences on suicide, which is one of the robust mental health outcomes. However, the impact of the COVID-19 crisis on children and adolescents in terms of suicide is unknown. OBJECTIVE: This study investigates the acute effect of the first wave of the COVID-19 pandemic on suicide among children and adolescents during school closure in Japan. DATA: Total number of suicides per month among children and adolescents under 20 years old between January 2018 and May 2020. METHODS: Poisson regression was used to examine whether suicide increased or decreased during school closure, which spanned from March to May 2020, compared with the same period in 2018 and 2019. Robustness check was conducted using all data from January 2018 to May 2020. Negative binomial regression, a model with overdispersion, was also performed. RESULTS: We found no significant change in suicide rates during the school closure (incidence rate ratio (IRR) = 1.15, 95% confidence interval (CI): 0.81 to 1.64). We found the main effect of month, that is, suicides significantly increased suicides in May (IRR: 1.34, 95% CI: 1.01 to 1.78) compared to March, but the interaction terms of month and school closure were not significant (p > 0.1). CONCLUSIONS: As preliminary findings, this study suggests that the first wave of the COVID-19 pandemic has not significantly affected suicide rates among children and adolescents during the school closure in Japan. | Child Abuse Negl | 2020 | LitCov and CORD-19 | |
| 5757 | Molecular interaction and inhibition of SARS-CoV-2 binding to the ACE2 receptor Study of the interactions established between the viral glycoproteins and their host receptors is of critical importance for a better understanding of virus entry into cells. The novel coronavirus SARS-CoV-2 entry into host cells is mediated by its spike glycoprotein (S-glycoprotein), and the angiotensin-converting enzyme 2 (ACE2) has been identified as a cellular receptor. Here, we use atomic force microscopy to investigate the mechanisms by which the S-glycoprotein binds to the ACE2 receptor. We demonstrate, both on model surfaces and on living cells, that the receptor binding domain (RBD) serves as the binding interface within the S-glycoprotein with the ACE2 receptor and extract the kinetic and thermodynamic properties of this binding pocket. Altogether, these results provide a picture of the established interaction on living cells. Finally, we test several binding inhibitor peptides targeting the virus early attachment stages, offering new perspectives in the treatment of the SARS-CoV-2 infection. | Nat Commun | 2020 | LitCov and CORD-19 | |
| 5758 | An Evidence Based Perspective on mRNA-SARS-CoV-2 Vaccine Development The first outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) occurred in Wuhan, Hubei Province, China, in late 2019. The subsequent COVID-19 pandemic rapidly affected the health and economy of the world. The global approach to the pandemic was to isolate populations to reduce the spread of this deadly virus while vaccines began to be developed. In March 2020, the first phase I clinical trial of a novel lipid nanoparticle (LNP)-encapsulated mRNA-based vaccine, mRNA-1273, which encodes the spike protein (S protein) of SARS-CoV-2, began in the United States (US). The production of mRNA-based vaccines is a promising recent development in the production of vaccines. However, there remain significant challenges in the development and testing of vaccines as rapidly as possible to control COVID-19, which requires international collaboration. This review aims to describe the background to the rationale for the development of mRNA-based SARS-CoV-2 vaccines and the current status of the mRNA-1273 vaccine. | Med Sci Monit | 2020 | LitCov and CORD-19 | |
| 5759 | Molecular SARS-CoV-2 surveillance in Bavaria shows no Omicron transmission before the end of November 2021 BACKGROUND: Five SARS-CoV-2 variants are currently considered as variants of concern (VOC). Omicron was declared a VOC at the end of November 2021. Based on different diagnostic methods, the occurrence of Omicron was reported by 52 countries worldwide on December 7 2021. First notified by South Africa with alarming reports on increasing infection rates, this new variant was soon suspected to replace the currently pre-dominating Delta variant leading to further infection waves worldwide. METHODS: Using VOC PCR screening and Next Generation Sequencing (NGS) analysis of selected samples, we investigated the circulation of Omicron in the German federal state Bavaria. For this, we analyzed SARS-CoV-2 surveillance data from our laboratory generated from calendar week (CW) 01 to 49/2021. RESULTS: So far, we have detected 69 Omicron cases in our laboratory from CW 47–49/2021 using RT-qPCR followed by melting curve analysis. The first 16 cases were analyzed by NGS and all were confirmed as Omicron. CONCLUSION: Our data strongly support no circulation of the new Omicron variant before CW 47/2021. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s15010-022-01767-1. | Infection | 2022 | LitCov and CORD-19 | |
| 5760 | A systematic review of antibody mediated immunity to coronaviruses: kinetics, correlates of protection and association with severity Many public health responses and modeled scenarios for COVID-19 outbreaks caused by SARS-CoV-2 assume that infection results in an immune response that protects individuals from future infections or illness for some amount of time. The presence or absence of protective immunity due to infection or vaccination (when available) will affect future transmission and illness severity. Here, we review the scientific literature on antibody immunity to coronaviruses, including SARS-CoV-2 as well as the related SARS-CoV, MERS-CoV and endemic human coronaviruses (HCoVs). We reviewed 2,452 abstracts and identified 491 manuscripts relevant to 5 areas of focus: 1) antibody kinetics, 2) correlates of protection, 3) immunopathogenesis, 4) antigenic diversity and cross-reactivity, and 5) population seroprevalence. While further studies of SARS-CoV-2 are necessary to determine immune responses, evidence from other coronaviruses can provide clues and guide future research. | Nat Commun | 2020 | LitCov and CORD-19 | |
| 5761 | Parents' Hesitancy to Vaccinate Their 5-11-Year-Old Children Against COVID-19 in Saudi Arabia: Predictors From the Health Belief Model Data exploring parents' hesitancy to vaccinate their 5–11-year-old children against COVID-19, and associated factors, is limited. This study aims to investigate parents' beliefs and intentions to vaccinate their 5–11-year-old children using the Health Belief Model in Saudi Arabia. A national, cross-sectional, questionnaire-based study was conducted in November, 2021. The self-administered online questionnaire was distributed to a random sample of parents. Adult parents with at least one 5–11-year-old child were included. The main outcome was parents' intention to vaccinate their 5–11-year-old children. Variability in parents' intention was assessed by demographics, COVID-19-related factors, children's health status, and constructs from the Health Belief Model. Univariate and multivariable logistic regression were used to investigate each factor and adjust for the intervariable effect on parental intention to vaccinate their children. Of the 4,135 participants, 61.9% were hesitant to vaccinate their 5–11-year-old children. Parents aged 31 to 40 years (OR = 1.23; 95% CI, 1.02–1.49) and females (OR = 1.52; 95% CI, 1.25–1.84) had higher odds of being hesitant to vaccinate their children than parents from other groups. Parents who perceived low benefit from the vaccine (OR = 16.3; 95% CI, 12.1–21.9) or who had safety or efficacy concerns (OR = 3.76; 95% CI, 3.10–4.58) were among the most hesitant to vaccinate their children. In conclusion, vaccine hesitancy is prevalent among parents of 5–11-year-old children in Saudi Arabia and those who had beliefs of minimal benefits or lack of safety from the COVID-19 vaccine were more hesitant. Government efforts must be directed toward increasing parents' vaccine awareness and tackling the constructs of the Health Belief Model through a well-designed vaccination campaign. | Front Public Health | 2022 | LitCov and CORD-19 | |
| 5762 | Attitudes and Psychological Factors Associated With News Monitoring, Social Distancing, Disinfecting and Hoarding Behaviors Among US Adolescents During the COVID-19 Pandemic N/A | JAMA Pediatr | 2020 | LitCov and CORD-19 | |
| 5763 | Low circulation of Influenza A and coinfection with SARS-CoV-2 among other respiratory viruses during the COVID-19 pandemic in a region of southern Brazil With the arrival of coronavirus disease 2019 (COVID‐19) in Brazil in February 2020, several preventive measures were taken by the population aiming to avoid severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) infection including the use of masks, social distancing, and frequent hand washing then, these measures may have contributed to preventing infection also by other respiratory viruses. Our goal was to determine the frequencies of Influenza A and B viruses (FLUAV/FLUBV), human mastadenovirus C (HAdV‐C), Enterovirus 68 (EV‐68), and rhinovirus (RV) besides SARS‐CoV‐2 among hospitalized patients suspect of COVID‐19 with cases of acute respiratory disease syndrome (ARDS) in the period of March to December 2020 and to detect possible coinfections among them. Nucleic acid detection was performed using reverse‐transcription quantitative polymerase chain reaction (RT‐qPCR) in respiratory samples using naso‐oropharyngeal swabs and bronchoalveolar lavage. A total of 418 samples of the 987 analyzed (42.3%) were positive for SARS‐CoV‐2, 16 (1.62%) samples were positive for FLUAV, no sample was positive for FLUBV or EV‐68, 67 (6.78%) samples were positive for HAdV‐C, 55 samples were positive for RV 1/2 (26.3%) and 37 for RV 2/2 (13.6%). Coinfections were also detected, including a triple coinfection with SARS‐CoV‐2, FLUAV, and HAdV‐C. In the present work, a very low frequency of FLUV was reported among hospitalized patients with ARDS compared to the past years, probably due to preventive measures taken to avoid COVID‐19 and the high influenza vaccination coverage in the region in which this study was performed. | J Med Virol | 2021 | LitCov and CORD-19 | |
| 5764 | Evaluating the relationship between moral values and vaccine hesitancy in Great Britain during the COVID-19 pandemic: A cross-sectional survey N/A | Soc Sci Med | 2022 | LitCov | |
| 5765 | Strategic assessment of COVID-19 pandemic in Bangladesh: comparative lockdown scenario analysis, public perception and management for sustainability ABSTRACT: Community transmission of COVID-19 is happening in Bangladesh—the country which did not have a noteworthy health policy and legislative structures to combat a pandemic like COVID-19. Early strategic planning and groundwork for evolving and established challenges are crucial to assemble resources and react in an appropriate timely manner. This article, therefore, focuses on the public perception of comparative lockdown scenario analysis and how they may affect the sustainable development goals (SDGs) and the strategic management regime of COVID-19 pandemic in Bangladesh socio-economically as well as the implications of the withdrawal of partial lockdown plan. Scenario-based public perceptions were collected via a purposive sampling survey method through a questionnaire. Datasets were analysed through a set of statistical techniques including classical test theory, principal component analysis, hierarchical cluster analysis, Pearson’s correlation matrix and linear regression analysis. There were good associations among the lockdown scenarios and response strategies to be formulated. Scenario 1 describes how the death and infection rate will increase if the Bangladesh Government withdraws the existing partial lockdown. Scenario 2 outlines that limited people’s movement will enable low-level community transmission of COVID-19 with the infection and death rate will increase slowly (r = 0.540, p < 0.01). Moreover, there will be less supply of necessities of daily use with a price hike (r = 0.680, p < 0.01). In scenario 3, full lockdown will reduce community transmission and death from COVID-19 (r = 0.545, p < 0.01). However, along with the other problems gender discrimination and gender-based violence will increase rapidly (r = 0.661, p < 0.01). Due to full lockdown, the formal and informal business, economy, and education sector will be hampered severely (R = 0.695). Subsequently, there was a strong association between the loss of livelihood and the unemployment rate which will increase due to business shutdown (p < 0.01). This will lead to the severe sufferings of poor and vulnerable communities in both urban and rural areas (p < 0.01). All these will further aggravate the humanitarian needs of the most vulnerable groups in the country in the coming months to be followed which will undoubtedly affect the Bangladesh targets to achieve the SDGs of 2030 and other development plans that need to be adjusted. From our analysis, it was apparent that maintaining partial lockdown with business and economic activities with social distancing and public health guidelines is the best strategy to maintain. However, as the government withdrew the partial lockdown, inclusive and transparent risk communication towards the public should be followed. Recovery and strengthening of the health sector, economy, industry, agriculture, and food security should be focused on under the “new normal standard of life” following health guidelines and social distancing. Proper response plans and strategic management are necessary for the sustainability of the nation. GRAPHIC ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10668-020-00867-y) contains supplementary material, which is available to authorized users. | Environ Dev Sustain | 2020 | LitCov and CORD-19 | |
| 5766 | Predictors of depression, anxiety and stress among remote workers during the COVID-19 pandemic N/A | Work | 2021 | LitCov and CORD-19 | |
| 5767 | Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak BACKGROUNDS: An ongoing outbreak of a novel coronavirus (2019-nCoV) pneumonia hit a major city in China, Wuhan, December 2019 and subsequently reached other provinces/regions of China and other countries. We present estimates of the basic reproduction number, R(0), of 2019-nCoV in the early phase of the outbreak. METHODS: Accounting for the impact of the variations in disease reporting rate, we modelled the epidemic curve of 2019-nCoV cases time series, in mainland China from January 10 to January 24, 2020, through the exponential growth. With the estimated intrinsic growth rate (γ), we estimated R(0) by using the serial intervals (SI) of two other well-known coronavirus diseases, MERS and SARS, as approximations for the true unknown SI. FINDINGS: The early outbreak data largely follows the exponential growth. We estimated that the mean R(0) ranges from 2.24 (95%CI: 1.96–2.55) to 3.58 (95%CI: 2.89–4.39) associated with 8-fold to 2-fold increase in the reporting rate. We demonstrated that changes in reporting rate substantially affect estimates of R(0). CONCLUSION: The mean estimate of R(0) for the 2019-nCoV ranges from 2.24 to 3.58, and is significantly larger than 1. Our findings indicate the potential of 2019-nCoV to cause outbreaks. | Int J Infect Dis | 2020 | LitCov and CORD-19 | |
| 5768 | SARS Coronavirus-2 variant tracing within the first Coronavirus Disease 19 clusters in northern Germany OBJECTIVES: Investigation whether in depth characterization of virus variant patterns can be used for epidemiological analysis of the first SARS-CoV-2 infection clusters in Hamburg, Germany. METHODS: Metagenomic RNA- and amplicon-sequencing and subsequent variant calling in 25 respiratory samples from SARS-CoV-2 infected patients involved in the earliest infection clusters in Hamburg. RESULTS: Amplikon sequencing and cluster analyses of these SARS-CoV-2 sequences allowed the identification of the first infection cluster and five non-related infection clusters occurring at the beginning of the viral entry of SARS-CoV-2 in the Hamburg metropolitan region. Viral genomics together with epidemiological analyses revealed that the index patient acquired the infection in Northern Italy and transmitted it to two out of 134 contacts. Single nucleotide polymorphisms clearly distinguished the virus variants of the index and other clusters and allowed to track in which sequences worldwide these mutations were first described. Minor variant analyses identified the transmission of intra-host variants in the index cluster and household clusters. CONCLUSIONS: SARS-CoV-2 variant tracing allows the identification of infection clusters and the follow up of infection chains occurring in the population. Furthermore, the follow up of minor viral variants in infection cluster can provide further resolution on transmission events indistinguishable on consensus sequence level. | Clin Microbiol Infect | 2020 | LitCov and CORD-19 | |
| 5769 | Implementation of convolutional neural network approach for COVID-19 disease detection In this paper, two novel, powerful, and robust convolutional neural network (CNN) architectures are designed and proposed for two different classification tasks using publicly available data sets. The first architecture is able to decide whether a given chest X-ray image of a patient contains COVID-19 or not with 98.92% average accuracy. The second CNN architecture is able to divide a given chest X-ray image of a patient into three classes (COVID-19 versus normal versus pneumonia) with 98.27% average accuracy. The hyperparameters of both CNN models are automatically determined using Grid Search. Experimental results on large clinical data sets show the effectiveness of the proposed architectures and demonstrate that the proposed algorithms can overcome the disadvantages mentioned above. Moreover, the proposed CNN models are fully automatic in terms of not requiring the extraction of diseased tissue, which is a great improvement of available automatic methods in the literature. To the best of the author’s knowledge, this study is the first study to detect COVID-19 disease from given chest X-ray images, using CNN, whose hyperparameters are automatically determined by the Grid Search. Another important contribution of this study is that it is the first CNN-based COVID-19 chest X-ray image classification study that uses the largest possible clinical data set. A total of 1,524 COVID-19, 1,527 pneumonia, and 1524 normal X-ray images are collected. It is aimed to collect the largest number of COVID-19 X-ray images that exist in the literature until the writing of this research paper. | Physiol Genomics | 2020 | LitCov and CORD-19 | |
| 5770 | COVID-19, Australia: Epidemiology Report 18 (Fortnightly reporting period ending 7 June 2020) N/A | Commun Dis Intell (2018) | 2020 | LitCov and CORD-19 | |
| 5771 | Vaccines against COVID-19 | Anaesth Crit Care Pain Med | 2020 | LitCov and CORD-19 | |
| 5772 | Racial Capitalism: A Fundamental Cause of Novel Coronavirus Pandemic Inequities in the United States Racial capitalism is a fundamental cause of the racial and socioeconomic inequities within the novel coronavirus pandemic (COVID-19) in the United States. The overrepresentation of Black death reported in Detroit, Michigan is a case study for this argument. Racism and capitalism mutually construct harmful social conditions that fundamentally shape COVID-19 disease inequities because they (a) shape multiple diseases that interact with COVID-19 to influence poor health outcomes; (b) affect disease outcomes through increasing multiple risk factors for poor, people of color, including racial residential segregation, homelessness, and medical bias; (c) shape access to flexible resources, such as medical knowledge and freedom, which can be used to minimize both risks and the consequences of disease; and (d) replicate historical patterns of inequities within pandemics, despite newer intervening mechanisms thought to ameliorate health consequences. Interventions should address social inequality to achieve health equity across pandemics. | Health Educ Behav | 2020 | LitCov and CORD-19 | |
| 5773 | Smell and Taste Dysfunction in COVID-19 Is Associated With Younger Age in Ambulatory Settings: A Multicenter Cross-Sectional Study N/A | J Investig Allergol Clin Immun | 2020 | LitCov and CORD-19 | |
| 5774 | Psychological status and behavior changes of the public during the COVID-19 epidemic in China BACKGROUND: A cluster of pneumonia cases were reported by Wuhan Municipal Health Commission, China in December 2019. A novel coronavirus was eventually identified, and became the COVID-19 epidemic that affected public health and life. We investigated the psychological status and behavior changes of the general public in China from January 30 to February 3, 2020. METHODS: Respondents were recruited via social media (WeChat) and completed an online questionnaire. We used the State-Trait Anxiety Inventory, Self-rating Depression Scale, and Symptom Checklist-90 to evaluate psychological status. We also investigated respondents’ behavior changes. Quantitative data were analyzed by t-tests or analysis of variance, and classified data were analyzed with chi-square tests. RESULTS: In total, 608 valid questionnaires were obtained. More respondents had state anxiety than trait anxiety (15.8% vs 4.0%). Depression was found among 27.1% of respondents and 7.7% had psychological abnormalities. About 10.1% of respondents suffered from phobia. Our analysis of the relationship between subgroup characteristics and psychological status showed that age, gender, knowledge about COVID-19, degree of worry about epidemiological infection, and confidence about overcoming the outbreak significantly influenced psychological status. Around 93.3% of respondents avoided going to public places and almost all respondents reduced Spring Festival-related activities. At least 70.9% of respondents chose to take three or more preventive measures to avoid infection. The three most commonly used prevention measures were making fewer trips outside and avoiding contact (98.0%), wearing a mask (83.7%), and hand hygiene (82.4%). CONCLUSIONS: We need to pay more attention to public psychological stress, especially among young people, as they are likely to experience anxiety, depression, and psychological abnormalities. Different psychological interventions could be formulated according to the psychological characteristics of different gender and age groups. The majority of respondents followed specific behaviors required by the authorities, but it will take time to observe the effects of these behaviors on the epidemic. | Infect Dis Poverty | 2020 | LitCov and CORD-19 | |
| 5775 | Safety of SARS-CoV-2 vaccination during pregnancy- obstetric outcomes from a large cohort study BACKGROUND: COVID-19 during pregnancy is associated with adverse outcomes for mother and fetus. SARS-CoV-2 vaccination has significantly reduced the risk of symptomatic disease. Several small studies have reported the safety of SARS-CoV-2 vaccination during pregnancy, with no adverse effect on obstetric outcomes. OBJECTIVE: To examine the association between SARS-CoV-2 vaccination during pregnancy and maternal and neonatal outcomes in a large cohort study. Furthermore, to evaluate if timing of vaccination during pregnancy is related to adverse outcomes. METHODS: A retrospective cohort study of women who delivered between December 2020 and July 2021 at a large tertiary medical center. Excluded were women with multiple pregnancy, vaccination prior to pregnancy, COVID-19 infection during or before pregnancy, or unknown timing of vaccination. Primary outcomes were the incidence of preterm labor and of small for gestational age. Secondary outcomes were other maternal and neonatal complications. A secondary analysis investigating the association between time of vaccination and outcomes was also performed. Multivariable logistic regression models were used to adjust for potential confounders. RESULTS: There were 5618 women who met the inclusion criteria: 2,305 (41%) women were vaccinated and 3,313 (59%) were unvaccinated. There were no differences between vaccinated and non-vaccinated patients with respect to primary outcomes. The rate of preterm birth was 5.5% in the vaccinated group compared to 6.2% in the unvaccinated group (p = 0.31). Likewise, the rates of small for gestational age were comparable between the two groups (6.2% vs. 7.0% respectively, p = 0.2). In a secondary analysis focusing on time of vaccination and its relationship with outcomes, patients vaccinated in the second trimester (n = 964) and in the third trimester (n = 1329) were independently compared to their unvaccinated counterparts. Women who were vaccinated in the second trimester were more likely to have a preterm birth (8.1% vs. 6.2%, p < 0.001). This association persisted after adjusting for potential confounders (adjusted odds ratio 1.49, 95%CI 1.11, 2.01). CONCLUSIONS: SARS-CoV-2 vaccine appears to be safe during pregnancy with no increase in incidence of preterm labor and small for gestational age compared to unvaccinated women. However, in women vaccinated during the second trimester there may be an increase in the rate of preterm birth. | BMC Pregnancy Childbirth | 2022 | LitCov and CORD-19 | |
| 5776 | A systematic review of racial/ethnic and socioeconomic disparities in COVID-19 BACKGROUND: Preliminary evidence from the COVID-19 pandemic shows the presence of health disparities, especially in terms of morbidity and mortality. This study aimed to systematically review the evidence on the association of racial/ethnic and socioeconomic status (SES) with health outcomes and access to healthcare services during the COVID-19 pandemic. METHODS: We retrieved published evidence from late December 2019 through March 1, 2021. The target population was the population of the countries during the COVID-19 pandemic. The exposures were defined as belonging to racial/ethnic minority groups and/or low SES. The primary outcomes of interest include (1) death from COVID-19, (2) COVID-19 incidence/infection, (3) COVID-19 hospitalization, (4) ICU admission, (5) need for mechanical ventilation, (6) confirmed diagnosis, and (7) access to testing. We systematically synthesized the findings from different studies and provided a narrative explanation of the results. RESULTS: After removing the duplicate results and screening for relevant titles and abstracts, 77 studies were selected for full-text review. Finally, 52 studies were included in the review. The majority of the studies were from the United States (37 studies). Despite the significant incongruity among the studies, most of them showed that racial/ethnic minority groups had higher risks of COVID-19 infection and hospitalization, confirmed diagnosis, and death. Additionally, most of the studies cited factors such as low level of education, poverty, poor housing conditions, low household income, speaking in a language other than the national language in a country, and living in overcrowded households as risk factors of COVID-19 incidence/infection, death, and confirmed diagnosis. However, findings in terms of the association of lack of health insurance coverage and unemployment with the outcome measures as well as the association of requiring mechanical ventilation, ICU admission, and access to testing for COVID-19 with race/ethnicity were limited and inconsistent. CONCLUSION: It is evident that racial/ethnic minority groups and those from low SES are more vulnerable to COVID-19; therefore, public health policymakers, practitioners, and clinicians should be aware of these inequalities and strive to narrow the gap by focusing on vulnerable populations. This systematic review also revealed a major incongruity in the definition of the racial/ethnic minority groups and SES among the studies. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42020190105. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12939-021-01582-4. | Int J Equity Health | 2021 | LitCov and CORD-19 | |
| 5777 | Molecular docking, validation, dynamics simulations and pharmacokinetic prediction of natural compounds against the SARS-CoV-2 main-protease The study aims to evaluate the potency of two hundred natural antiviral phytocompounds against the active site of the Severe Acquired Respiratory Syndrome - Coronavirus − 2 (SARS-CoV-2) Main-Protease (M(pro)) using AutoDock 4.2.6. The three- dimensional crystal structure of the M(pro) (PDB Id: 6LU7) was retrieved from the Protein Data Bank (PDB), the active site was predicted using MetaPocket 2.0. Food and Drug Administration (FDA) approved viral protease inhibitors were used as standards for comparison of results. The compounds theaflavin-3-3’-digallate, rutin, hypericin, robustaflavone, and (-)-solenolide A with respective binding energy of −12.41 (Ki = 794.96 pM); −11.33 (Ki = 4.98 nM); −11.17 (Ki = 6.54 nM); −10.92 (Ki = 9.85 nM); and −10.82 kcal/mol (Ki = 11.88 nM) were ranked top as Coronavirus Disease − 2019 (COVID-19) M(pro) inhibitors. The interacting amino acid residues were visualized using Discovery Studio 3.5 to elucidate the 2-dimensional and 3-dimensional interactions. The study was validated by i) re-docking the N3-peptide inhibitor-M(pro) and superimposing them onto co-crystallized complex and ii) docking decoy ligands to M(pro). The ligands that showed low binding energy were further predicted for and pharmacokinetic properties and Lipinski’s rule of 5 and the results are tabulated and discussed. Molecular dynamics simulations were performed for 50 ns for those compounds using the Desmond package, Schrödinger to assess the conformational stability and fluctuations of protein-ligand complexes during the simulation. Thus, the natural compounds could act as a lead for the COVID-19 regimen after in-vitro and in- vivo clinical trials. Communicated by Ramaswamy H. Sarma | J Biomol Struct Dyn | 2020 | LitCov and CORD-19 | |
| 5778 | Prominent changes in blood coagulation of patients with SARS-CoV-2 infection N/A | Clin Chem Lab Med | 2020 | LitCov and CORD-19 | |
| 5779 | Application of an Artificial Intelligence Trilogy to Accelerate Processing of Suspected Patients With SARS-CoV-2 at a Smart Quarantine Station: Observational Study BACKGROUND: As the COVID-19 epidemic increases in severity, the burden of quarantine stations outside emergency departments (EDs) at hospitals is increasing daily. To address the high screening workload at quarantine stations, all staff members with medical licenses are required to work shifts in these stations. Therefore, it is necessary to simplify the workflow and decision-making process for physicians and surgeons from all subspecialties. OBJECTIVE: The aim of this paper is to demonstrate how the National Cheng Kung University Hospital artificial intelligence (AI) trilogy of diversion to a smart quarantine station, AI-assisted image interpretation, and a built-in clinical decision-making algorithm improves medical care and reduces quarantine processing times. METHODS: This observational study on the emerging COVID-19 pandemic included 643 patients. An “AI trilogy” of diversion to a smart quarantine station, AI-assisted image interpretation, and a built-in clinical decision-making algorithm on a tablet computer was applied to shorten the quarantine survey process and reduce processing time during the COVID-19 pandemic. RESULTS: The use of the AI trilogy facilitated the processing of suspected cases of COVID-19 with or without symptoms; also, travel, occupation, contact, and clustering histories were obtained with the tablet computer device. A separate AI-mode function that could quickly recognize pulmonary infiltrates on chest x-rays was merged into the smart clinical assisting system (SCAS), and this model was subsequently trained with COVID-19 pneumonia cases from the GitHub open source data set. The detection rates for posteroanterior and anteroposterior chest x-rays were 55/59 (93%) and 5/11 (45%), respectively. The SCAS algorithm was continuously adjusted based on updates to the Taiwan Centers for Disease Control public safety guidelines for faster clinical decision making. Our ex vivo study demonstrated the efficiency of disinfecting the tablet computer surface by wiping it twice with 75% alcohol sanitizer. To further analyze the impact of the AI application in the quarantine station, we subdivided the station group into groups with or without AI. Compared with the conventional ED (n=281), the survey time at the quarantine station (n=1520) was significantly shortened; the median survey time at the ED was 153 minutes (95% CI 108.5-205.0), vs 35 minutes at the quarantine station (95% CI 24-56; P<.001). Furthermore, the use of the AI application in the quarantine station reduced the survey time in the quarantine station; the median survey time without AI was 101 minutes (95% CI 40-153), vs 34 minutes (95% CI 24-53) with AI in the quarantine station (P<.001). CONCLUSIONS: The AI trilogy improved our medical care workflow by shortening the quarantine survey process and reducing the processing time, which is especially important during an emerging infectious disease epidemic. | J Med Internet Res | 2020 | LitCov and CORD-19 | |
| 5780 | American College of Rheumatology Clinical Guidance for Multisystem Inflammatory Syndrome in Children Associated With SARS-CoV-2 and Hyperinflammation in Pediatric COVID-19: Version 2 N/A | Arthritis Rheumatol | 2021 | LitCov and CORD-19 | |
| 5781 | Comprehensive mapping of neutralizing antibodies against SARS-CoV-2 variants induced by natural infection or vaccination BACKGROUND: Immunity after SARS-CoV-2 infection or vaccination has been threatened by recently emerged SARS-CoV-2 variants. A systematic summary of the landscape of neutralizing antibodies against emerging variants is needed. METHODS: We systematically searched PubMed, Embase, Web of Science, and 3 pre-print servers for studies that evaluated neutralizing antibodies titers induced by previous infection or vaccination against SARS-CoV-2 variants and comprehensively collected individual data. We calculated lineage-specific GMTs across different study participants and types of neutralization assays. FINDINGS: We identified 56 studies, including 2,483 individuals and 8,590 neutralization tests, meeting the eligibility criteria. Compared with lineage B, we estimate a 1.5-fold (95% CI: 1.0–2.2) reduction in neutralization against the B.1.1.7, 8.7-fold (95% CI: 6.5–11.7) reduction against B.1.351 and 5.0-fold (95% CI: 4.0–6.2) reduction against P.1. The estimated neutralization reductions for B.1.351 compared to lineage B were 240.2-fold (95% CI: 124.0–465.6) reduction for non-replicating vector platform, 4.6-fold (95% CI: 4.0–5.2) reduction for RNA platform, and 1.6-fold (95% CI: 1.2–2.1) reduction for protein subunit platform. The neutralizing antibodies induced by administration of inactivated vaccines and mRNA vaccines against lineage P.1 were also remarkably reduced by an average of 5.9-fold (95% CI: 3.7–9.3) and 1.5-fold (95% CI: 1.2–1.9). INTERPRETATION: Our findings indicate that the antibody response established by natural infection or vaccination might be able to effectively neutralize B.1.1.7, but neutralizing titers against B.1.351 and P.1 suffered large reductions. Standardized protocols for neutralization assays, as well as updating immune-based prevention and treatment, are needed. FUNDING: Chinese National Science Fund for Distinguished Young Scholars | medRxiv | 2021 | CORD-19 | |
| 5782 | The extent of molecular variation in novel SARS-CoV-2 after the six-month global spread The pandemic spread of Coronavirus Disease 2019 (COVID-19) is still ongoing since severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is identified as the etiologic pathogen late December 2019. After over six-month spread of COVID-19, SARS-CoV-2 causes critical threats to global public health and economy. The investigations on evolution and genotyping on genetic variations are of great importance, therefore, the present study characterized the molecular variation of SARS-CoV-2 by analyzing 4230 complete genome sequences from the worldwide samples collected during the first 6-month pandemic. Phylogenetic tree analysis with Neighbor-Joining and Maximum-Parsimony methods indicated that the haplotypes of SARS-CoV-2 genome sequences were classified into four clades with the unique nucleotide and amino acid changes: T27879C (ORF8 L84S) in clade 1 (25.34%), A23138G (spike D614G) in clade 2 (63.54%), G10818T (nsp6 L37F), C14540T (nsp12 T442I), and G25879T (ORF3a V251F) in clade 3 (2.58%), and miscellaneous changes in clade 4 (8.54%). Interestingly, subclade 2B with the amino acid changes at nsp2 T85I, Spike D614G, and ORF3a Q57H was firstly reported on March 4, 2020 in United States of America, becoming the most frequent sub-haplogroup in the world (36.21%) and America (45.81%). Subclade 1C with the amino acid changes at nsp13 P504L and ORF8 L84S was becoming the second most frequent sub-haplogroup in the world (19.91%) and America (26.29%). Subclade 2A with the amino acid changes in Spike D614G and Nucleocapsid R203K and G204R was highly prevalent in Asia (18.82%) and Europe (29.72%). The study highlights the notable clades and sub-clades with unique mutations, revealing the genetic and geographical relevant post the six-month outbreak of COVID-19. This study thoroughly observed the genetic feature of SARS-CoV-2 haplotyping, providing an epidemiological trend of COVID-19. | Infect Genet Evol | 2021 | LitCov and CORD-19 | |
| 5783 | mRNA or ChAd0x1 COVID-19 Vaccination of Adolescents Induces Robust Antibody and Cellular Responses With Continued Recognition of Omicron Following mRNA-1273 N/A | Front Immunol | 2022 | LitCov | |
| 5784 | Multisystem Inflammatory Syndrome in Adults After SARS-CoV-2 Infection and COVID-19 Vaccination BACKGROUND: Multisystem inflammatory syndrome in adults (MIS-A) was reported in association with the coronavirus disease 2019 (COVID-19) pandemic. MIS-A was included in the list of adverse events to be monitored as part of the emergency use authorizations issued for COVID-19 vaccines. METHODS: Reports of MIS-A patients received by the Centers for Disease Control and Prevention (CDC) after COVID-19 vaccines became available were assessed. Data collected on the patients included clinical and demographic characteristics and their vaccine status. The Vaccine Adverse Events Reporting System (VAERS) was also reviewed for possible cases of MIS-A. RESULTS: From 14 December 2020 to 30 April 2021, 20 patients who met the case definition for MIS-A were reported to CDC. Their median age was 35 years (range, 21–66 years), and 13 (65%) were male. Overall, 16 (80%) patients had a preceding COVID-19-like illness a median of 26 days (range 11–78 days) before MIS-A onset. All 20 patients had laboratory evidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Seven MIS-A patients (35%) received COVID-19 vaccine a median of 10 days (range, 6–45 days) before MIS-A onset; 3 patients received a second dose of COVID-19 vaccine 4, 17, and 22 days before MIS-A onset. Patients with MIS-A predominantly had gastrointestinal and cardiac manifestations and hypotension or shock. CONCLUSIONS: Although 7 patients were reported to have received COVID-19 vaccine, all had evidence of prior SARS-CoV-2 infection. Given the widespread use of COVID-19 vaccines, the lack of reporting of MIS-A associated with vaccination alone, without evidence of underlying SARS-CoV-2 infection, is reassuring. | Clin Infect Dis | 2021 | LitCov and CORD-19 | |
| 5785 | Immunological considerations for COVID-19 vaccine strategies The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the most formidable challenge to humanity in a century. It is widely believed that prepandemic normalcy will never return until a safe and effective vaccine strategy becomes available and a global vaccination programme is implemented successfully. Here, we discuss the immunological principles that need to be taken into consideration in the development of COVID-19 vaccine strategies. On the basis of these principles, we examine the current COVID-19 vaccine candidates, their strengths and potential shortfalls, and make inferences about their chances of success. Finally, we discuss the scientific and practical challenges that will be faced in the process of developing a successful vaccine and the ways in which COVID-19 vaccine strategies may evolve over the next few years. | Nat Rev Immunol | 2020 | LitCov and CORD-19 | |
| 5786 | Development of a web-based contact tracing and point-of-care-testing workflow for SARS-CoV-2 at a German University Hospital INTRODUCTION: In late 2019, a novel coronavirus was detected in China. Supported by its respiratory transmissibility, even by people infected without symptomatic disease, this coronavirus soon began to rapidly spread worldwide. BACKGROUND: Many countries have implemented different infection control and containment strategies due to ongoing community transmission. In this context, contact tracing as well as adequate testing and consequent quarantining of high-risk contacts play leading roles in containing the virus by interrupting infection chains. This approach is especially important in the hospital setting where contacts often cannot be avoided and physical distance is usually not possible. Furthermore, health care workers (HCWs) usually have contact with a variety of vulnerable people, making it essential to identify infections among hospital employees as soon as possible to interrupt the rapid spread of SARS-CoV-2 in the facility. Several electronic tools for contact tracing, such as specific software or mobile phone apps, are available for the public health sector. In contrast, contact tracing in hospitals often has to be carried out without helpful electronic tools, and an enormous amount of human resources is typically required. AIM: For rapid contact tracing and effective infection control and management measures for HCWs in hospitals, adapted technical solutions are needed. METHODS: In this study, we report the development of our containment strategy to a web-based contact tracing and rapid point-of-care-testing workflow. RESULTS/CONCLUSION: Our workflow yielded efficient control of the rapidly evolving situation during the SARS-CoV-2 pandemic from May 2020 until January 2021 at a German University Hospital. | Antimicrob Resist Infect Contr | 2021 | LitCov and CORD-19 | |
| 5787 | COVID-19 Vaccine Diplomacy and Equitable Access to Vaccines Amid Ongoing Pandemic The wealthy countries have already secured 60% of the total coronavirus disease (COVID-19) vaccine supplies for their citizens. Some of these countries have pre-ordered vaccine doses sufficient enough to vaccinate their population multiple times. India has recently initiated a diplomatic mission named Vaccine Maitri to provide COVID-19 vaccine doses to needy low-income countries. The ability of the country to manufacture cost-effective vaccines along with the ability to export large vaccine consignments worldwide will help to meet the global COVID-19 vaccine requirements. Furthermore, global vaccination coverage can only be achieved by ensuring equitable access to COVID-19 vaccines. | Arch Med Res | 2021 | LitCov and CORD-19 | |
| 5788 | Cross-Protection against MERS-CoV by Prime-Boost Vaccination Using Viral Spike DNA and Protein Middle East respiratory syndrome coronavirus (MERS-CoV) causes severe respiratory illness and has a high mortality of ∼34%. However, since its discovery in 2012, an effective vaccine has not been developed for it. To develop a vaccine against multiple strains of MERS-CoV, we targeted spike glycoprotein (S) using prime-boost vaccination with DNA and insect cell-expressed recombinant proteins for the receptor-binding domain (RBD), S1, S2, SΔTM, or SΔER. Our S subunits were generated using an S sequence derived from the MERS-CoV EMC/2012 strain. We examined humoral and cellular immune responses of various combinations with DNA plasmids and recombinant proteins in mice. Mouse sera immunized with SΔER DNA priming/SΔTM protein boosting showed cross-neutralization against 15 variants of S-pseudovirions and the wild-type KOR/KNIH/002 strain. In addition, these immunizations provided full protection against the KOR/KNIH/002 strain challenge in human DPP4 knock-in mice. These findings suggest that vaccination with the S subunits derived from one viral strain can provide cross-protection against variant MERS-CoV strains with mutations in S. DNA priming/protein boosting increased gamma interferon production, while protein-alone immunization did not. The RBD subunit alone was insufficient to induce neutralizing antibodies, suggesting the importance of structural conformation. In conclusion, heterologous DNA priming with protein boosting is an effective way to induce both neutralizing antibodies and cell-mediated immune responses for MERS-CoV vaccine development. This study suggests a strategy for selecting a suitable platform for developing vaccines against MERS-CoV or other emerging coronaviruses. IMPORTANCE Coronavirus is an RNA virus with a higher mutation rate than DNA viruses. Therefore, a mutation in S-protein, which mediates viral infection by binding to a human cellular receptor, is expected to cause difficulties in vaccine development. Given that DNA-protein vaccines promote stronger cell-mediated immune responses than protein-only vaccination, we immunized mice with various combinations of DNA priming and protein boosting using the S-subunit sequences of the MERS-CoV EMC/2012 strain. We demonstrated a cross-protective effect against wild-type KOR/KNIH/002, a strain with two mutations in the S amino acids, including one in its RBD. The vaccine also provided cross-neutralization against 15 different S-pseudotyped viruses. These suggested that a vaccine targeting one variant of S can provide cross-protection against multiple viral strains with mutations in S. The regimen of DNA priming/Protein boosting can be applied to the development of other coronavirus vaccines. | J Virol | 2020 | CORD-19 | |
| 5789 | COVID-19 Vaccination and Intention to Vaccinate Among a Sample of College Students in New Jersey Vaccines are critical for curtailing the COVID-19 pandemic and may represent an important tool for return to “normalcy” on college campuses in the Fall of 2021. The purpose of this study was to investigate the extent of vaccination coverage and intention to vaccinate among college students. College students (N = 457) enrolled in the Spring 2021 semester at a university in New Jersey completed a cross-sectional survey. The survey collected information on demographics, COVID-19 and vaccination history, knowledge levels and sources of COVID-19 vaccine information, and vaccine attitudes. Multivariable regression analysis was performed to identify factors associated with vaccination, and the intention to vaccinate among non-vaccinated students. Results indicate that 23% (n = 105) of participants reported being vaccinated already. Among non-vaccinated students, 52.8% indicated their intention to receive the vaccine when it is made available to college students. Students who were health care workers (adjusted odds ratio, aOR = 4.17, p < 0.001), had a family member who had received a COVID-19 vaccine (aOR = 5.03, p < 0.001), exhibited greater positive attitudes regarding vaccination (aOR = 1.12, p < 0.001), and received a seasonal flu vaccine (aOR = 1.97, p < 0.05) were more likely to have received the COVID-19 vaccine. Among non-vaccinated students, those who discussed COVID-19 vaccine information with others (aOR = 5.38, p < 0.001), and exhibited more overall positive attitudes regarding vaccination (aOR = 2.69, p < 0.001), were more likely to indicate their willingness to receive the COVID-19 vaccine. Findings of this study highlight the need for additional education and vaccine outreach aimed at promoting uptake of the COVID-19 vaccine among college students. | J Community Health | 2021 | LitCov and CORD-19 | |
| 5790 | Adherence to social distancing and use of personal protective equipment and the risk of SARS-CoV-2 infection in a cohort of patients with multiple sclerosis Background Aiming to safeguard its population from COVID19 infection, Italian government provided specific advices, especially to fragile individuals such those affected by Multiple Sclerosis (MS), to respect social distancing, to arrange remote work and to use personal protective equipment (PPE). The aim of this study is to investigate real adherence to these measures among MS patients and to evaluate its impact on exposure to infection. Methods MS patients followed at the MS centre of Tor Vergata University hospital, Rome, Italy were asked to complete an anonymous 35-items web-survey exploring demographics, residency, employment, social distancing habits, use of PPE, MS features and COVID19 infection data, including self-reported information about contact with SARS-CoV-2 positive/presumed positive person. In order to estimate adherence to social distancing and use of PPE, an overall ‘Lockdown Score’ (LS) on 0-10 scale was created analyzing four main domains (Working (0 - 4), Social distancing and PPE use (0 - 4), Assistance for shopping needs (0 - 2), Residency (-2 - 0)). Mean scores for several pre-defined subgroups of patients were compared using both univariable and multivariable analyses. Accuracy of the score in discriminating subjects at higher risk of coming in contact with SARS-CoV-2 positive/presumed positive individuals was calculated as the area under the receiver-operator characteristic curve (AUC). The optimal cut-off was identified and used to dichotomize LS (high/ low). Logistic regression model was applied to estimate the characteristics of individuals associated to high/low LS and the odds ratio of coming in contact with SARS-CoV-2 positive/presumed positive individuals based on continous and dichotomised LS. Results Respondents (N=551) had a mean(±SD) overall LS of 6.52±2.11 (Working 3.16±1.19, Social distancing and PPE use 2.69±1.33, Assistance 0.66± 0.62, Residency penalty applied in 4 cases). Females, disabled and unemployed individuals had significantly higher mean LS (p<0.05). The AUC of the LS was 0.68 (95% CI, 0.59-0.77) and the optimal LS cut-off for discrimination was 6.0. Consistently, females, disabled and unemployed individuals had higher odd of getting a high LS (≥ 6) compared to males, independent and employed (p<0.05). Odd of coming in contact with SARS-CoV-2 positive/presumed positive individuals was significantly reduced for one-unit increase in LS (0.74 (95% CI: 0.64-0.85)) and among individuals with high LS (0.37 (95% CI: 0.19-0.72)). Only one subject among respondents declared to have been diagnosed with COVID19. Conclusions MS patients, especially those with social unfavorable conditions, demonstrated good adherence to social distancing and use of protection equipment. Implementing domains, such as social assistance, may improve protection from infection. LS score is potentially able to identify subjects with behaviors at greater risk of infection, although it needs to be validated against MS population living in higher incidence areas. | Mult Scler Relat Disord | 2020 | LitCov and CORD-19 | |
| 5791 | A Novel Machine Learning Framework for Comparison of Viral COVID-19-Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis BACKGROUND: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and compare content features in public discourse of emerging health issues on different social media platforms across a broad sociocultural spectrum. OBJECTIVE: We aimed to develop a novel and universal content feature extraction and analytical framework and contrast how content features differ with sociocultural background in discussions of the emerging COVID-19 global health crisis on major social media platforms. METHODS: We sampled the 1000 most shared viral Twitter and Sina Weibo posts regarding COVID-19, developed a comprehensive coding scheme to identify 77 potential features across six major categories (eg, clinical and epidemiological, countermeasures, politics and policy, responses), quantified feature values (0 or 1, indicating whether or not the content feature is mentioned in the post) in each viral post across social media platforms, and performed subsequent comparative analyses. Machine learning dimension reduction and clustering analysis were then applied to harness the power of social media data and provide more unbiased characterization of web-based health communications. RESULTS: There were substantially different distributions, prevalence, and associations of content features in public discourse about the COVID-19 pandemic on the two social media platforms. Weibo users were more likely to focus on the disease itself and health aspects, while Twitter users engaged more about policy, politics, and other societal issues. CONCLUSIONS: We extracted a rich set of content features from social media data to accurately characterize public discourse related to COVID-19 in different sociocultural backgrounds. In addition, this universal framework can be adopted to analyze social media discussions of other emerging health issues beyond the COVID-19 pandemic. | J Med Internet Res | 2021 | LitCov and CORD-19 | |
| 5792 | Sedentary Behaviors and Physical Activity of Italian Undergraduate Students during Lockdown at the Time of CoViD-19 Pandemic Background: From March to May 2020, lockdown measures were adopted in Italy to contain the epidemic of the novel Coronavirus. People were forced to restrict their movement and social contacts, therefore having a higher risk of inactivity. This study, carried out among Italian undergraduates, explored their sedentary and physical activities (PA) during the lockdown with respect to their previous habits. Methods: An electronic questionnaire was administered once to students attending three Italian universities after the end of lockdown. Results: A total of 1430 students (mean age 22.9 ± 3.5 years, 65.5% females) completed the questionnaire. All the sedentary behaviors increased significantly, and all the physical activities decreased significantly during the lockdown. Time spent using electronic devices showed the highest increase (+52.4 min/day), and walking the greatest decrease (−365.5 min/week). Being younger than 22 years old, female, and previously active, attending the universities of Naples and Rome and having at least one graduate parent were associated with the achievement of recommended levels of PA even during the lockdown. Conclusions: This study highlights the reduction of PA among Italian undergraduates in the course of home-confinement due to the CoViD-19 pandemic. The practice of adequate PA during the lockdown was mainly associated with the previous adoption of an active lifestyle. Promoting active lifestyles during the non-pandemic period may have had positive effects also in case of lockdown. | Int J Environ Res Public Healt | 2020 | LitCov and CORD-19 | |
| 5793 | Neutralization of SARS-CoV-2 Omicron sub-lineages BA.1, BA.1.1 and BA.2 Recent reports of SARS-CoV-2 Omicron variant sub-lineages, BA.1, BA.1.1, and BA.2, have reignited concern over potential escape from vaccine- and infection-induced immunity. We examine the sensitivity of these sub-lineages and other major variants to neutralizing antibodies from mRNA-vaccinated and boosted individuals, as well as recovered COVID-19 patients, including those infected with Omicron. We find that all Omicron sub-lineages, especially BA.1 and BA.1.1, exhibit substantial immune escape that is largely overcome by mRNA vaccine booster doses. While Omicron BA.1.1 escapes almost completely from neutralization by early-pandemic COVID-19 patient sera and to a lesser extent from sera of Delta infected patients, BA.1.1 is sensitive to Omicron-infected patient sera. Critically, all Omicron sub-lineages, including BA.2, are comparably neutralized by Omicron patient sera. These results highlight the importance of booster vaccine doses for protection against all Omicron variants, and provide insight into the immunity from natural infection against Omicron sub-lineages. | Cell Host Microbe | 2022 | LitCov and CORD-19 | |
| 5794 | A Human Pluripotent Stem Cell-based Platform to Study SARS-CoV-2 Tropism and Model Virus Infection in Human Cells and Organoids SARS-CoV-2 has caused the COVID-19 pandemic. There is an urgent need for physiological models to study SARS-CoV-2 infection using human disease-relevant cells. COVID-19 pathophysiology includes respiratory failure but involves other organ systems including gut, liver, heart, and pancreas. We present an experimental platform comprised of cell and organoid derivatives from human pluripotent stem cells (hPSCs). A Spike-enabled pseudo-entry virus infects pancreatic endocrine cells, liver organoids, cardiomyocytes, and dopaminergic neurons. Recent clinical studies show a strong association with COVID-19 and diabetes. We find that human pancreatic beta cells and liver organoids are highly permissive to SARS-CoV-2 infection, further validated using adult primary human islets and adult hepatocyte and cholangiocyte organoids. SARS-CoV-2 infection caused striking expression of chemokines, as also seen in primary human COVID-19 pulmonary autopsy samples. hPSC-derived cells/organoids provide valuable models for understanding the cellular responses of human tissues to SARS-CoV-2 infection and for disease modeling of COVID-19. | Cell Stem Cell | 2020 | LitCov and CORD-19 | |
| 5795 | Psychological impact of coronavirus disease (2019) epidemic on medical staff in different posts in China: A multicenter study OBJECTIVE: An outbreak of coronavirus disease 2019 (COVID-19) is a public health emergency of international concern and poses a big challenge to medical staff and general public. The aim is to investigate psychological impact of COVID-19 epidemic on medical staff in different working posts in China, and to explore the correlation between psychological disorder and the exposure to COVID-19. METHODS: A multicenter WeChat-based online survey was conducted among medical staff in China between 26 February and 3 March 2020. Medical staff deployed to Hubei province from other provinces and medical staffs in different posts outside Hubei were selected to represent diverse exposure intensities to the threat of COVID-19. Anxiety, depression, sleep quality, stress and resilience were evaluated using scales including GAD-7, PHQ-9, PSQI, PSS-14, and CD-RISC-10. Latent class analysis was performed to identify potential staff requiring psychological support. RESULTS: A total of 274 respondents were included, who serving at 4 posts as follows, staff backing Hubei province, isolation wards outside Hubei, fever clinic and infectious disease department, and other departments outside Hubei. The total scores of anxiety, depression, sleep quality and stress were statistically different among groups, meanwhile an increasing tendency of anxiety, depression and sleep quality scores with increasing risk of exposure to COVID-19 was found (p < 0.05). Subsequent post-hoc analysis indicated that the staff backing Hubei had higher scores of anxiety, depression, sleep quality and perceived stress (adjusted p < 0.05). The combined prevalence of anxiety, depression and insomnia of staff backing Hubei reached as high as 38%. Four-class latent class analysis showed 3 categories of population (69.4%) may need psychological support. CONCLUSIONS: High prevalence of anxiety, depression and insomnia exist in medical staff related to COVID-19. The higher the probability and intensity of exposure to COVID-19 patients, the greater the risk that medical staff will suffer from mental disorders, suggesting continuous and proper psychiatric intervention are needed. | J Psychiatr Res | 2020 | LitCov and CORD-19 | |
| 5796 | Willingness to volunteer and readiness to practice of undergraduate medical students during the COVID-19 pandemic: a cross-sectional survey in Indonesia BACKGROUND: The question to involve or restrict medical students’ involvement in the coronavirus disease 2019 (COVID-19) pandemic response remains contentious. As their state of preparation and perceptions in volunteering during this pandemic have yet to be investigated, this study aims to evaluate Indonesian medical students’ willingness to volunteer and readiness to practice during the COVID-19 pandemic. METHODS: A web-based survey was conducted among undergraduate medical students throughout Indonesia. Socio-demographic and social interaction information, in addition to willingness to volunteer and readiness to practice, were obtained using a self-reported questionnaire. The significance level was set at 5%. RESULTS: Among 4870 participants, 2374 (48.7%) expressed their willingness to volunteer, while only 906 (18.6%) had adequate readiness to practice. Male students, students with prior volunteering experience in health or non-health sectors, and students from public universities or living in Central Indonesia (vs Java) had higher scores of willingness and readiness to volunteer. Students from Sumatra also had better preparedness (odds ratio [OR] 1.56, 95% confidence interval [CI] 1.15–2.12, p = 0.004), while the opposite occurred for students from Eastern Indonesia (OR 0.63, 95% CI: 0.44–0.89, p = 0.002)–when compared to students from Java. In addition, compared to students with high family income, students from lower-middle income families were less willing to volunteer (OR 0.76, 95% CI: 0.59–0.98, p = 0.034), though those with low family income had better readiness (OR 1.51, 95% CI: 1.10–2.08, p = 0.011). Shortage of medical personnel, sense of duty, and solicitation by stakeholders were the main reasons increasing the students’ willingness to volunteer; whereas contrarily fear for own’s health, absence of a cure, and fear of harming patients were the primary factors diminishing their willingness to volunteer. CONCLUSION: Our findings indicated that many Indonesian medical students are willing to volunteer, yet only few of them were ready to practice, indicating that further preparations are required to maximize their potentials and minimize their exposure to hazards. We suggest that their potentials as a firm support system during the pandemic should not be overlooked, and that the integration of relevant courses to the medical curricula are imperative to prepare for future public health emergencies. | BMC Med Educ | 2021 | LitCov and CORD-19 | |
| 5797 | Guillain-Barré syndrome associated with leptomeningeal enhancement following SARS-CoV-2 infection N/A | Clin Med (Lond) | 2020 | LitCov and CORD-19 | |
| 5798 | Isolation and characterization of cross-neutralizing coronavirus antibodies from COVID-19+ subjects SARS-CoV-2 is one of three coronaviruses that have crossed the animal-to-human barrier and caused widespread disease in the past two decades. The development of a universal human coronavirus vaccine could prevent future pandemics. We characterized 198 antibodies isolated from four COVID19+ subjects and identified 14 SARS-CoV-2 neutralizing antibodies. One targeted the NTD, one recognized an epitope in S2 and eleven bound the RBD. Three anti-RBD neutralizing antibodies cross-neutralized SARS-CoV-1 by effectively blocking binding of both the SARS-CoV-1 and SARS-CoV-2 RBDs to the ACE2 receptor. Using the K18-hACE transgenic mouse model, we demonstrate that the neutralization potency and antibody epitope specificity regulates the in vivo protective potential of anti-SARS-CoV-2 antibodies. All four cross-neutralizing antibodies neutralized the B.1.351 mutant strain. Thus, our study reveals that epitopes in S2 can serve as blueprints for the design of immunogens capable of eliciting cross-neutralizing coronavirus antibodies. | Cell Rep | 2021 | LitCov and CORD-19 | |
| 5799 | COVID-19-Related Life Experiences, Outdoor Play and Long-term Adiposity Changes Among Preschool- and School-Aged Children in Singapore 1 Year After Lockdown IMPORTANCE: Despite the potential for COVID-19 infection control–related events to have an effect on child well-being, comprehensive assessments of postlockdown changes and persistent outcomes are lacking. OBJECTIVE: To survey the extent of COVID-19 lockdown–related lifestyle changes, their differences by child age and family socioeconomic status, and the potential association with child adiposity 1 year after lockdown. DESIGN, SETTING, AND PARTICIPANTS: A self-administered, electronic survey was introduced to 2 ongoing child cohorts (the Singapore Preconception Study of Long-term Maternal and Child Outcomes [S-PRESTO] cohort of preschool children aged 1-4.5 years and the Growing Up in Singapore Towards Healthy Outcomes [GUSTO] cohort of primary school children aged 9-10.7 years) from July 8, 2020, to September 5, 2020, which was 1 to 3 months after the end of strict universal movement restrictions (duration of 73 days ending on June 19, 2020). All active participants from S-PRESTO and GUSTO, 2 population-based, longitudinal, parent-offspring cohorts in Singapore, were invited to participate and monitored through June 15, 2021. EXPOSURES: Exposures included family income before and after the COVID-19 lockdown, changes in child outdoor play or exercise, and COVID-19–related life events; all data were self-reported by parents and school-aged children 1 to 3 months after the lockdown. MAIN OUTCOMES AND MEASURES: Primary outcomes were self-reported COVID-19–related life events and changes in child online socialization, outdoor play or exercise, and intrafamily relationships. Study staff measured children’s weight, height, and skinfold thickness before and up to 1 year after lockdown. Body mass indices (calculated as weight in kilograms divided by height in meters squared) and World Health Organization–standardized scores were computed. Differences before and after lockdown were compared using baseline-adjusted linear regression. RESULTS: A total of 604 parents (53% of active cohort participants) and 356 school-aged children completed the survey and were similar to source cohorts. This represents 373 of 761 eligible children in the GUSTO cohort (mean [SD] age, 9.9 [0.4] years; 197 girls [52.8%]) and 231 of 370 eligible children in the S-PRESTO cohort (mean [SD] age, 2.6 [0.8] years; 121 boys [52.6%]). The COVID-19–related life changes were prevalent and varied (eg, 414 of 600 children [69.0%] reported changes in social activities). More than one-third of primary school–aged children (122 of 356 [34.3%]) and one-quarter of preschool-aged children (56 of 229 [24.5%]) eliminated any outdoor play after the lockdown. Lower family income before the lockdown was associated with increased odds of elimination of outdoor play (adjusted odds ratio per 1000 Singapore dollars [$730 US dollars] decrease, 1.09; 95% CI, 1.01-1.19). Complete elimination of outdoor activity (vs continued outdoor activity) was associated with an increase in body mass index of 0.48 (95% CI, 0.03-0.94) and a body mass index z score of 0.18 units (95% CI, 0-0.37) in school-aged children approximately 1 year after lockdown. CONCLUSIONS AND RELEVANCE: Results of this cohort study suggest that 1 to 3 months after a brief, strict lockdown, a large proportion of parents and school-aged children reported elimination of outdoor play, which was more prevalent in lower-income families. Future research to better understand clinical implications and ways to mitigate lockdown outcomes is essential. | JAMA Pediatr | 2022 | LitCov and CORD-19 | |
| 5800 | Routine, Cost-Effective SARS-CoV-2 Surveillance Testing Using Pooled Saliva Limits Viral Spread on a Residential College Campus Routine testing for SARS-CoV-2 is rare for institutes of higher education due to prohibitive costs and supply chain delays. During spring 2021, we routinely tested all residential students 1 to 2 times per week using pooled, RNA-extraction-free, reverse transcription quantitative PCR (RT-qPCR) testing of saliva at a cost of $0.43/sample with same-day results. The limit of detection was 500 copies/ml on individual samples, and analysis indicates 1,000 and 2,500 copies/ml in pools of 5 and 10, respectively, which is orders of magnitude more sensitive than rapid antigen tests. Importantly, saliva testing flagged 83% of semester positives (43,884 tests administered) and was 95.6% concordant with nasopharyngeal diagnostic results (69.0% concordant on the first test when the nucleocapsid gene (N1) cycle threshold (C(T)) value was >30). Moreover, testing reduced weekly cases by 59.9% in the spring despite far looser restrictions, allowing for more normalcy while eliminating outbreaks. We also coupled our testing with a survey to clarify symptoms and transmissibility among college-age students. While only 8.5% remained asymptomatic throughout, symptoms were disparate and often cold-like (e.g., only 37.3% developed a fever), highlighting the difficulty with relying on symptom monitoring among this demographic. Based on reported symptom progression, we estimate that we removed 348 days of infectious individuals by routine testing. Interestingly, viral load (C(T) value) at the time of testing did not affect transmissibility (R(2) = 0.0085), though those experiencing noticeable symptoms at the time of testing were more likely to spread the virus to close contacts (31.6% versus 14.3%). Together, our findings support routine testing for reducing the spread of SARS-CoV-2. Implementation of cost- and resource-efficient approaches should receive strong consideration in communities that lack herd immunity. IMPORTANCE This study highlights the utility of routine testing for SARS-CoV-2 using pooled saliva while maintaining high sensitivity of detection (under 2,500 copies/ml) and rapid turnaround of high volume (up to 930 samples in 8 h by two technicians and one quantitative PCR [qPCR] machine). This pooled approach allowed us to test all residential students 1 to 2 times per week on our college campus during the spring of 2021 and flagged 83% of our semester positives. Most students were asymptomatic or presented with symptoms mirroring common colds at the time of testing, allowing for removal of infectious individuals before they otherwise would have sought testing. To our knowledge, the total per-sample consumable cost of $0.43 is the lowest to date. With many communities still lagging in vaccination rates, routine testing that is cost-efficient highlights the capacity of the laboratory’s role in controlling the spread of SARS-CoV-2. | Microbiol Spectr | 2021 | LitCov and CORD-19 |
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(3) Currently tweets of June 23rd to June 29th 2022 have been considered.