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.
Reader Attention: The current number of Mendeley readers.
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%).
Substantial score (in top 1%).
Average score (in bottom 99%).
Score not available.
CORD-19 dataset(1) (list of papers)
LitCovid hub(2) (list of papers)
PMC & PubMed (citations)
Mendeley (number of readers)
COVID-19-TweetIDs(3) (tweets)
| Title | Venue | Year | Impact | Source | |
|---|---|---|---|---|---|
| 7601 | Clinical Characteristics and Outcomes in Patients With COVID-19 and Multiple Sclerosis N/A | JAMA Neurol | 2020 | LitCov and CORD-19 | |
| 7602 | Peimine inhibits variants of SARS-CoV-2 cell entry via blocking the interaction between viral spike protein and ACE2 N/A | J Food Biochem | 2022 | LitCov | |
| 7603 | Prevalence and associated factors of depression and anxiety among nurses during the outbreak of COVID-19 in China: A cross-sectional study BACKGROUND: Coronavirus disease 2019 (COVID-19) is a public health emergency of international concern and has caused traumatic experience for nurses worldwide. However, the prevalence of depression and anxiety symptoms in nurses, and how psychosocial factors influence nurses in this public crisis are unknown. OBJECTIVES: To determine the effect of COVID-19 on the mental health of nurses and the prevalence of anxiety and depression symptoms among nurses in China during the outbreak. DESIGN: A cross-sectional study. SETTINGS AND PARTICIPANTS: A total of 3,228 nurses in Sichuan Province and Wuhan City were selected by convenience sampling. All participants were invited to complete the questionnaire through WeChat from January 27 to February 3, 2020. METHODS: A self-reported questionnaire combining depression and anxiety scale was used to collect data anonymously. Binary and multivariate logistic regression was applied to measure the odds of psychosocial factors of anxiety and depression and perceived health, respectively. RESULTS: The total incidence of depression (34.3%) and anxiety (18.1%) during the COVID-19 outbreak was lower than that during the SARS outbreak; however, the rate of depression in our study (47.1%) was high and similar in a recent study (50.4%) about the health care workers exposed to COVID-19 in China. The results indicated that COVID-19-related stress, relationship quality with family, and demographic characteristics were associated with depression, anxiety, and perceived health status. Furthermore, the prevalence of depression was similar between nurses working in low-risk COVID-19 wards was as high as working in high-risk COVID-19 wards (OR, 1.078; 95% CI, 0.784–1.481). CONCLUSIONS: Our study revealed the high prevalence of depression and anxiety among nurses during the outbreak of COVID-19. COVID-19 factors and psychosocial factors were associated with mental health of nurses. The results suggest that hospitals should implement effective mental health promotion programs focused on occupational safety and family support to improve the well-being of nurses. | Int J Nurs Stud | 2020 | LitCov and CORD-19 | |
| 7604 | Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease BACKGROUND: Since early December 2019, the 2019 novel coronavirus disease (COVID-19) has caused pneumonia epidemic in Wuhan, Hubei province of China. This study aims to investigate the factors affecting the progression of pneumonia in COVID-19 patients. Associated results will be used to evaluate the prognosis and to find the optimal treatment regimens for COVID-19 pneumonia. METHODS: Patients tested positive for the COVID-19 based on nucleic acid detection were included in this study. Patients were admitted to 3 tertiary hospitals in Wuhan between December 30, 2019, and January 15, 2020. Individual data, laboratory indices, imaging characteristics, and clinical data were collected, and statistical analysis was performed. Based on clinical typing results, the patients were divided into a progression group or an improvement/stabilization group. Continuous variables were analyzed using independent samples t-test or Mann-Whitney U test. Categorical variables were analyzed using Chi-squared test or Fisher's exact test. Logistic regression analysis was performed to explore the risk factors for disease progression. RESULTS: Seventy-eight patients with COVID-19-induced pneumonia met the inclusion criteria and were included in this study. Efficacy evaluation at 2 weeks after hospitalization indicated that 11 patients (14.1%) had deteriorated, and 67 patients (85.9%) had improved/stabilized. The patients in the progression group were significantly older than those in the disease improvement/stabilization group (66 [51, 70] vs. 37 [32, 41] years, U = 4.932, P = 0.001). The progression group had a significantly higher proportion of patients with a history of smoking than the improvement/stabilization group (27.3% vs. 3.0%, χ(2) = 9.291, P = 0.018). For all the 78 patients, fever was the most common initial symptom, and the maximum body temperature at admission was significantly higher in the progression group than in the improvement/stabilization group (38.2 [37.8, 38.6] vs. 37.5 [37.0, 38.4]°C, U = 2.057, P = 0.027). Moreover, the proportion of patients with respiratory failure (54.5% vs. 20.9%, χ(2) = 5.611, P = 0.028) and respiratory rate (34 [18, 48] vs. 24 [16, 60] breaths/min, U = 4.030, P = 0.004) were significantly higher in the progression group than in the improvement/stabilization group. C-reactive protein was significantly elevated in the progression group compared to the improvement/stabilization group (38.9 [14.3, 64.8] vs. 10.6 [1.9, 33.1] mg/L, U = 1.315, P = 0.024). Albumin was significantly lower in the progression group than in the improvement/stabilization group (36.62 ± 6.60 vs. 41.27 ± 4.55 g/L, U = 2.843, P = 0.006). Patients in the progression group were more likely to receive high-level respiratory support than in the improvement/stabilization group (χ(2) = 16.01, P = 0.001). Multivariate logistic analysis indicated that age (odds ratio [OR], 8.546; 95% confidence interval [CI]: 1.628–44.864; P = 0.011), history of smoking (OR, 14.285; 95% CI: 1.577–25.000; P = 0.018), maximum body temperature at admission (OR, 8.999; 95% CI: 1.036–78.147, P = 0.046), respiratory failure (OR, 8.772, 95% CI: 1.942–40.000; P = 0.016), albumin (OR, 7.353, 95% CI: 1.098–50.000; P = 0.003), and C-reactive protein (OR, 10.530; 95% CI: 1.224−34.701, P = 0.028) were risk factors for disease progression. CONCLUSIONS: Several factors that led to the progression of COVID-19 pneumonia were identified, including age, history of smoking, maximum body temperature at admission, respiratory failure, albumin, C-reactive protein. These results can be used to further enhance the ability of management of COVID-19 pneumonia. | Chin Med J (Engl) | 2020 | LitCov and CORD-19 | |
| 7605 | Pressure-controlled vs volume-controlled ventilation for acute respiratory failure due to acute lung injury (ALI) or acute respiratory distress syndrome (ARDS) N/A | Cochrane Database Syst Rev | 2015 | CORD-19 | |
| 7606 | Association Between COVID-19 Outcomes and Patient Characteristics: A Study in an Inner-City Community Hospital Background It has been shown that certain hematological conditions, such as lymphopenia and thrombocytopenia, are associated with increased severity and mortality from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, a majority of the previous data came from large institutional centers with high academic output. We aimed to explore the association between patient’s characteristics, hematological parameters, and outcomes in admitted persons with coronavirus disease 2019 (COVID-19) at our community hospital in an inner city. Methods This study is a retrospective chart review designed to evaluate the potential associations between demographic and clinical characteristics of our patient population and their outcomes when testing positive for SARS-CoV-2. The study population included patients hospitalized in the Saint Francis Medical Center from January 2020 to September 2020. This pilot study included 50 out of the 275 hospitalized patients with a confirmed SARS-CoV-2 infection during this timeframe. Data collection from the patient’s chart included age, sex, comorbidities, admission complete blood cell count, and use of Remdesivir, steroids, and plasma. The primary outcome was all-cause in-hospital mortality. Secondary outcomes included the need for mechanical ventilation and ICU admission. Results In this pilot study, there was an overall mortality rate of 32% (16 out of 50 patients). Charlson Comorbidity Index (CCI) of 3 points or above was present in 87.5% of the patients in the mortality group versus 41.1% in patients who survived (p = 0.0021). There was no statistically significant difference in mortality between males and females after adjusting for other variables with an odds ratio (OR) of 0.19 (95% CI 0.02-1.80, p = 0.09). There were no statically significant differences in mortality between Caucasians, non-Hispanic, Black, and Latinx patients (p = 0.466). Admission platelets were lower in the mortality group with a mean of 157.7 ± 43.23 (Thou/ul) versus 250.06 ± 93.95 (Thou/ul) in the survivors (p = 0.0005). Admission white blood cell count in the mortality group was lower than the survivor group with an average of 5.93 ± 2.58 (Thou/ul) versus 9.3 ± 4.14 (Thou/ul) (p = 0.0039), respectively. The plasma D-dimer level of 3 mg/L fibrinogen equivalent unit (FEU) or higher was associated with increased mortality. There was no association of C-reactive protein (CRP) with mortality (p = 0.93 and p = 0.54, respectively); however, the CRP level revealed an association with ICU admission (p = 0.03). The use of steroids, Remdesivir, and plasma did not have a statistically significant effect on mortality, ICU admission, or sepsis in our study. Conclusion In this study, older age, higher CCI, and plasma D-dimer level of 3 mg/L FEU or higher were associated with higher mortality among COVID-19 patients. White blood cell count and platelet count were significantly lower in the mortality group in comparison to the survivor group. However, there was no statistical difference in lymphocyte count between the mortality group and the survivor group. COVID-19 patients with thrombocytopenia or serum CRP level of 15 mg/dL or higher were more likely to be admitted to ICU. | Cureus | 2021 | LitCov and CORD-19 | |
| 7607 | Efficacy, safety and lot-to-lot immunogenicity of an inactivated SARS-CoV-2 vaccine (BBV152): interim results of a randomised, double-blind, controlled, phase 3 trial BACKGROUND: We report the clinical efficacy against COVID-19 infection of BBV152, a whole virion inactivated SARS-CoV-2 vaccine formulated with a toll-like receptor 7/8 agonist molecule adsorbed to alum (Algel-IMDG) in Indian adults. METHODS: We did a randomised, double-blind, placebo-controlled, multicentre, phase 3 clinical trial in 25 Indian hospitals or medical clinics to evaluate the efficacy, safety, and immunological lot consistency of BBV152. Adults (age γ18 years) who were healthy or had stable chronic medical conditions (not an immunocompromising condition or requiring treatment with immunosuppressive therapy) were randomised 1:1 with a computer-generated randomisation scheme (stratified for the presence or absence of chronic conditions) to receive two intramuscular doses of vaccine or placebo administered 4 weeks apart. Participants, investigators, study coordinators, study-related personnel, the sponsor, and nurses who administered the vaccines were masked to treatment group allocation; an unmasked contract research organisation and a masked expert adjudication panel assessed outcomes. The primary outcome was the efficacy of the BBV152 vaccine in preventing a first occurrence of laboratory-confirmed (RT-PCR-positive) symptomatic COVID-19 (any severity), occurring at least 14 days after the second dose in the per-protocol population. We also assessed safety and reactogenicity throughout the duration of the study in all participants who had received at least one dose of vaccine or placebo. This report contains interim results (data cutoff May 17, 2021) regarding immunogenicity and safety outcomes (captured on days 0 to 56) and efficacy results with a median of 99 days for the study population. The trial was registered on the Indian Clinical Trials Registry India, CTRI/2020/11/028976, and ClinicalTrials.gov, NCT04641481 (active, not recruiting). FINDINGS: Between Nov 16, 2020, and Jan 7, 2021, we recruited 25 798 participants who were randomly assigned to receive BBV152 or placebo; 24 419 received two doses of BBV152 (n=12 221) or placebo (n=12 198). Efficacy analysis was dependent on having 130 cases of symptomatic COVID-19, which occurred when 16 973 initially seronegative participants had at least 14 days follow-up after the second dose. 24 (0·3%) cases occurred among 8471 vaccine recipients and 106 (1·2%) among 8502 placebo recipients, giving an overall estimated vaccine efficacy of 77·8% (95% CI 65·2–86·4). In the safety population (n=25 753), 5959 adverse events occurred in 3194 participants. BBV152 was well tolerated; the same proportion of participants reported adverse events in the vaccine group (1597 [12·4%] of 12 879) and placebo group (1597 [12·4%] of 12 874), with no clinically significant differences in the distributions of solicited, unsolicited, or serious adverse events between the groups, and no cases of anaphylaxis or vaccine-related deaths. INTERPRETATION: BBV152 was highly efficacious against laboratory-confirmed symptomatic COVID-19 disease in adults. Vaccination was well tolerated with no safety concerns raised in this interim analysis. FUNDING: Bharat Biotech International and Indian Council of Medical Research. | Lancet | 2021 | LitCov and CORD-19 | |
| 7608 | Social media as a recruitment platform for a nationwide online survey of COVID-19 knowledge, beliefs and practices in the United States: methodology and feasibility analysis BACKGROUND: The COVID-19 pandemic has evolved into one of the most impactful health crises in modern history, compelling researchers to explore innovative ways to efficiently collect public health data in a timely manner. Social media platforms have been explored as a research recruitment tool in other settings; however, their feasibility for collecting representative survey data during infectious disease epidemics remain unexplored. OBJECTIVES: This study has two aims 1) describe the methodology used to recruit a nationwide sample of adults residing in the United States (U.S.) to participate in a survey on COVID-19 knowledge, beliefs, and practices, and 2) outline the preliminary findings related to recruitment, challenges using social media as a recruitment platform, and strategies used to address these challenges. METHODS: An original web-based survey informed by evidence from past literature and validated scales was developed. A Facebook advertisement campaign was used to disseminate the link to an online Qualtrics survey between March 20–30, 2020. Two supplementary male-only and racial minority- targeted advertisements were created on the sixth and tenth day of recruitment, respectively, to address issues of disproportionate female- and White-oriented gender- and ethnic-skewing observed in the advertisement’s reach and response trends. RESULTS: In total, 6602 participant responses were recorded with representation from all U.S. 50 states, the District of Columbia, and Puerto Rico. The advertisements cumulatively reached 236,017 individuals and resulted in 9609 clicks (4.07% reach). Total cost of the advertisement was $906, resulting in costs of $0.09 per click and $0.18 per full response (completed surveys). Implementation of the male-only advertisement improved the cumulative percentage of male respondents from approximately 20 to 40%. CONCLUSIONS: The social media advertisement campaign was an effective and efficient strategy to collect large scale, nationwide data on COVID-19 within a short time period. Although the proportion of men who completed the survey was lower than those who didn’t, interventions to increase male responses and enhance representativeness were successful. These findings can inform future research on the use of social media recruitment for the rapid collection of survey data related to rapidly evolving health crises, such as COVID-19. | BMC Med Res Methodol | 2020 | LitCov and CORD-19 | |
| 7609 | Understanding the lived experiences of healthcare professionals during the COVID-19 pandemic: an interpretative phenomenological analysis Background: Little research has examined the impact of working within the context of COVID-19 on UK healthcare professionals (HCPs) mental health and well-being, despite previous pandemic findings indicating that HCPs are particularly vulnerable to suffering PTSD and other mental health difficulties due to the nature of healthcare work. Specifically, it appears that no research has employed qualitative methodologies to explore the effects of working amidst COVID-19 on mental health for HCPs in the UK. Objective: To qualitatively examining the lived experiences of HCPs in Northern Ireland, working during the early stages of the pandemic and lockdown period (14.04.20 and 29.04.20). Method: Interpretative phenomenological analysis (IPA) was used to explore the experiences of healthcare professionals, who were working during the COVID-19 outbreak. Ten HCPs were recruited via a social media campaign and snowball sampling. All interviews were conducted via telephone and transcribed verbatim. Results: Three superordinate themes with subordinate themes were elicited through the analysis. Theme one centred on specific challenges of HCPs working during the pandemic, such as redeployment, isolation from loved ones, infection concerns, lack of PPE and impact on patient interpersonal care. Theme two offered insights into the mental health and wellbeing of HCPs, while many experienced feelings of fear, sadness and hypervigilance, all also demonstrated a marked resilience. Finally, many felt undervalued and misunderstood, and wished to press upon the general public seriousness of the disease. Conclusion: To the authors’ knowledge this is the first study to explore in depth, the unique experiences of frontline HCPs in Northern Ireland, offering a detailed account of the challenges confronted in these unprecedented circumstances and highlighting support needs within this cohort. | Eur J Psychotraumatol | 2021 | LitCov and CORD-19 | |
| 7610 | Contextualising COVID-19 prevention behaviour over time in Australia: Patterns and long-term predictors from April to July 2020 in an online social media sample BACKGROUND: In Australia in March 2020 a national public health directive required that non-essential workers stay at home, except for essential activities. These restrictions began easing in May 2020 as community transmission slowed. OBJECTIVES: This study investigated changes in COVID prevention behaviours from April-July 2020, and psychosocial predictors of these behaviours. METHODS: An Australia-wide (national) survey was conducted in April, with monthly follow-up over four months. Participants who were adults (18+ years), currently residing in Australia and who could read and understand English were eligible. Recruitment was via online social media. Analysis sample included those who provided responses to the baseline survey (April) and at least one subsequent follow-up survey (N = 1834 out of a possible 3216 who completed the April survey). 71.7% of the sample was female (n = 1,322). Principal components analysis (PCA) combined self-reported adherence across seven prevention behaviours. PCA identified two behaviour types: ‘distancing’ (e.g. staying 1.5m away) and ‘hygiene’ (e.g. washing hands), explaining 28.3% and 24.2% of variance, respectively. Distancing and hygiene behaviours were analysed individually using multivariable regression models. RESULTS: On average, participants agreed with statements of adherence for all behaviours (means all above 4 out of 7). Distancing behaviours declined each month (p’s < .001), whereas hygiene behaviours remained relatively stable. For distancing, stronger perceptions of societal risk, self-efficacy to maintain distancing, and greater perceived social obligation at baseline were associated with adherence in June and July (p’s<0.05). For hygiene, the only significant correlate of adherence in June and July was belief that one’s actions could prevent infection of family members (p < .001). CONCLUSION: High adherence to COVID prevention behaviours were reported in this social media sample; however, distancing behaviours tended to decrease over time. Belief in social responsibility may be an important aspect to consider in encouraging distancing behaviours. These findings have implications for managing a shift from government-imposed restrictions to individual responsibility. | PLoS One | 2021 | LitCov and CORD-19 | |
| 7611 | SARS-CoV-2 Omicron Variant in Croatia-Rapid Detection of the First Case and Cross-Border Spread Background: Due to rapid spread, the Omicron variant has become the dominant SARS-CoV-2 variant responsible for infections worldwide. We present the first detection of the Omicron variant in Croatia which resulted in rapid cross-border spreading. Methods: Whole-genome sequencing was performed using the Illumina MiniSeq sequencing system. SARS-CoV-2 lineages were identified using the PANGOLIN and GISAID databases. Results: The first case of the Omicron variant (BA.1.17) emerged in Croatia after a workshop held in Zagreb in November 2021. The patient reported a history of previous COVID-19 and received two doses of an mRNA vaccine. Three additional cases were detected among Croatian participants of the workshop. At the beginning of December, SARS-CoV-2 infection was confirmed in one participant from Montenegro and her husband. Phylogenetic analysis showed that the detected Omicron variants were closely related to the first Croatian case, confirming the connection with the workshop outbreak and rapid cross-border spreading. Subsequent analyses of SARS-CoV-2 positive samples in Croatia showed the rapid introduction of the Omicron variant and depletion of the Delta variant resulting in the fifth pandemic wave. Conclusions: Genomic monitoring and early detection of novel SARS-CoV-2 variants are essential to implement timely epidemiological interventions and reduce further transmission in the population. | Pathogens | 2022 | LitCov and CORD-19 | |
| 7612 | Evaluation of Korean-Language COVID-19-Related Medical Information on YouTube: Cross-Sectional Infodemiology Study BACKGROUND: In South Korea, the number of coronavirus disease (COVID-19) cases has declined rapidly and much sooner than in other countries. South Korea is one of the most digitalized countries in the world, and YouTube may have served as a rapid delivery mechanism for increasing public awareness of COVID-19. Thus, the platform may have helped the South Korean public fight the spread of the disease. OBJECTIVE: The aim of this study is to compare the reliability, overall quality, title–content consistency, and content coverage of Korean-language YouTube videos on COVID-19, which have been uploaded by different sources. METHODS: A total of 200 of the most viewed YouTube videos from January 1, 2020, to April 30, 2020, were screened, searching in Korean for the terms “Coronavirus,” “COVID,” “Corona,” “Wuhan virus,” and “Wuhan pneumonia.” Non-Korean videos and videos that were duplicated, irrelevant, or livestreamed were excluded. Source and video metrics were collected. The videos were scored based on the following criteria: modified DISCERN index, Journal of the American Medical Association Score (JAMAS) benchmark criteria, global quality score (GQS), title–content consistency index (TCCI), and medical information and content index (MICI). RESULTS: Of the 105 total videos, 37.14% (39/105) contained misleading information; independent user–generated videos showed the highest proportion of misleading information at 68.09% (32/47), while all of the government-generated videos were useful. Government agency–generated videos achieved the highest median score of DISCERN (5.0, IQR 5.0-5.0), JAMAS (4.0, IQR 4.0-4.0), GQS (4.0, IQR 3.0-4.5), and TCCI (5.0, IQR 5.0-5.0), while independent user–generated videos achieved the lowest median score of DISCERN (2.0, IQR 1.0-3.0), JAMAS (2.0, IQR 1.5-2.0), GQS (2.0, IQR 1.5-2.0), and TCCI (3.0, IQR 3.0-4.0). However, the total MICI was not significantly different among sources. “Transmission and precautionary measures” were the most commonly covered content by government agencies, news agencies, and independent users. In contrast, the most mentioned content by news agencies was “prevalence,” followed by “transmission and precautionary measures.” CONCLUSIONS: Misleading videos had more likes, fewer comments, and longer running times than useful videos. Korean-language YouTube videos on COVID-19 uploaded by different sources varied significantly in terms of reliability, overall quality, and title–content consistency, but the content coverage was not significantly different. Government-generated videos had higher reliability, overall quality, and title–content consistency than independent user–generated videos. | J Med Internet Res | 2020 | LitCov and CORD-19 | |
| 7613 | Effect of Immunosuppression on the Immunogenicity of mRNA Vaccines to SARS-CoV-2: A Prospective Cohort Study BACKGROUND: Patients with chronic inflammatory disease (CID) treated with immunosuppressive medications have increased risk for severe COVID-19. Although mRNA-based SARS-CoV-2 vaccination provides protection in immunocompetent persons, immunogenicity in immunosuppressed patients with CID is unclear. OBJECTIVE: To determine the immunogenicity of mRNA-based SARS-CoV-2 vaccines in patients with CID. DESIGN: Prospective observational cohort study. SETTING: Two U.S. CID referral centers. PARTICIPANTS: Volunteer sample of adults with confirmed CID eligible for early COVID-19 vaccination, including hospital employees of any age and patients older than 65 years. Immunocompetent participants were recruited separately from hospital employees. All participants received 2 doses of mRNA vaccine against SARS-CoV-2 between 10 December 2020 and 20 March 2021. Participants were assessed within 2 weeks before vaccination and 20 days after final vaccination. MEASUREMENTS: Anti–SARS-CoV-2 spike (S) IgG(+) binding in all participants, and neutralizing antibody titers and circulating S-specific plasmablasts in a subset to assess humoral response after vaccination. RESULTS: Most of the 133 participants with CID (88.7%) and all 53 immunocompetent participants developed antibodies in response to mRNA-based SARS-CoV-2 vaccination, although some with CID developed numerically lower titers of anti-S IgG. Anti-S IgG antibody titers after vaccination were lower in participants with CID receiving glucocorticoids (n = 17) than in those not receiving them; the geometric mean of anti-S IgG antibodies was 357 (95% CI, 96 to 1324) for participants receiving prednisone versus 2190 (CI, 1598 to 3002) for those not receiving it. Anti-S IgG antibody titers were also lower in those receiving B-cell depletion therapy (BCDT) (n = 10). Measures of immunogenicity differed numerically between those who were and those who were not receiving antimetabolites (n = 48), tumor necrosis factor inhibitors (n = 39), and Janus kinase inhibitors (n = 11); however, 95% CIs were wide and overlapped. Neutralization titers seemed generally consistent with anti-S IgG results. Results were not adjusted for differences in baseline clinical factors, including other immunosuppressant therapies. LIMITATIONS: Small sample that lacked demographic diversity, and residual confounding. CONCLUSION: Compared with nonusers, patients with CID treated with glucocorticoids and BCDT seem to have lower SARS-CoV-2 vaccine-induced antibody responses. These preliminary findings require confirmation in a larger study. PRIMARY FUNDING SOURCE: The Leona M. and Harry B. Helmsley Charitable Trust, Marcus Program in Precision Medicine Innovation, National Center for Advancing Translational Sciences, and National Institute of Arthritis and Musculoskeletal and Skin Diseases. | Ann Intern Med | 2021 | LitCov and CORD-19 | |
| 7614 | Impacts of COVID-19 on Trade and Economic Aspects of Food Security: Evidence from 45 Developing Countries The stability of food supply chains is crucial to the food security of people around the world. Since the beginning of 2020, this stability has been undergoing one of the most vigorous pressure tests ever due to the COVID-19 outbreak. From a mere health issue, the pandemic has turned into an economic threat to food security globally in the forms of lockdowns, economic decline, food trade restrictions, and rising food inflation. It is safe to assume that the novel health crisis has badly struck the least developed and developing economies, where people are particularly vulnerable to hunger and malnutrition. However, due to the recency of the COVID-19 problem, the impacts of macroeconomic fluctuations on food insecurity have remained scantily explored. In this study, the authors attempted to bridge this gap by revealing interactions between the food security status of people and the dynamics of COVID-19 cases, food trade, food inflation, and currency volatilities. The study was performed in the cases of 45 developing economies distributed to three groups by the level of income. The consecutive application of the autoregressive distributed lag method, Yamamoto’s causality test, and variance decomposition analysis allowed the authors to find the food insecurity effects of COVID-19 to be more perceptible in upper-middle-income economies than in the least developed countries. In the latter, food security risks attributed to the emergence of the health crisis were mainly related to economic access to adequate food supply (food inflation), whereas in higher-income developing economies, availability-sided food security risks (food trade restrictions and currency depreciation) were more prevalent. The approach presented in this paper contributes to the establishment of a methodology framework that may equip decision-makers with up-to-date estimations of health crisis effects on economic parameters of food availability and access to staples in food-insecure communities. | Int J Environ Res Public Healt | 2020 | LitCov and CORD-19 | |
| 7615 | Impact of COVID-19 on household food insecurity and interlinkages with child feeding practices and coping strategies in Uttar Pradesh, India: a longitudinal community-based study OBJECTIVES: The COVID-19 pandemic has profound negative impacts on people’s lives, but little is known on its effect on household food insecurity (HFI) in poor setting resources. This study assessed changes in HFI during the pandemic and examined the interlinkages between HFI with child feeding practices and coping strategies. DESIGN: A longitudinal survey in December 2019 (in-person) and August 2020 (by phone). SETTING: Community-based individuals from 26 blocks in 2 districts in Uttar Pradesh, India. PARTICIPANTS: Mothers with children <2 years (n=569). MAIN OUTCOMES AND ANALYSES: We measured HFI by using the HFI Access Scale and examined the changes in HFI during the pandemic using the Wilcoxon matched-pairs signed-rank tests. We then assessed child feeding practices and coping strategies by HFI status using multivariable regression models. RESULTS: HFI increased sharply from 21% in December 2019 to 80% in August 2020, with 62% households changing the status from food secure to insecure over this period. Children in newly or consistently food-insecure households were less likely to consume a diverse diet (adjusted OR, AOR 0.57, 95% CI 0.34 to 0.95 and AOR 0.51, 95% CI 0.23 to 1.12, respectively) compared with those in food-secure households. Households with consistent food insecurity were more likely to engage in coping strategies such as reducing other essential non-food expenditures (AOR 2.2, 95% CI 1.09 to 4.24), borrowing money to buy food (AOR 4.3, 95% CI 2.31 to 7.95) or selling jewellery (AOR 5.0, 95% CI 1.74 to 14.27) to obtain foods. Similar findings were observed for newly food-insecure households. CONCLUSIONS: The COVID-19 pandemic and its lockdown measures posed a significant risk to HFI which in turn had implications for child feeding practices and coping strategies. Our findings highlight the need for further investment in targeted social protection strategies and safety nets as part of multisectoral solutions to improve HFI during and after COVID-19. | BMJ Open | 2021 | LitCov and CORD-19 | |
| 7616 | Estimating Shortages in Capacity to Deliver Continuous Kidney Replacement Therapy During the COVID-19 Pandemic in the United States RATIONALE OBJECTIVE: During the coronavirus disease 2019 (COVID-19) pandemic, New York encountered shortages in continuous kidney replacement (CKRT) capacity for critically ill patients with acute kidney injury stage 3 requiring dialysis (AKI 3D). To inform planning for current and future crises, we estimated CKRT demand and capacity during the initial wave of the US COVID-19 pandemic. STUDY DESIGN: We developed mathematical models to project nationwide and statewide CKRT demand and capacity. Data sources included the Institute for Health Metrics and Evaluation (IHME) model, the Harvard Global Health Institute model, and published literature. SETTING: Population: US patients hospitalized during the initial wave of the COVID-19 pandemic (02/06/2020 to 08/04/2020). INTERVENTION: CKRT. OUTCOMES: CKRT demand and capacity at peak resource utilization; number of states projected to encounter CKRT shortages. Model, Perspective, & Timeframe: Health sector perspective with a 6-month time horizon. RESULTS: Under base-case model assumptions, there was a nationwide CKRT capacity of 7,032 machines, an estimated shortage of 1,088 (95% uncertainty interval: 910-1,568) machines, and shortages in 6 states at peak resource utilization. In sensitivity analyses, varying assumptions around (1) the number of pre-COVID-19 surplus CKRT machines available and (2) the incidence of AKI 3D requiring CKRT among hospitalized patients with COVID-19 resulted in projected shortages in 3-8 states (933-1,282 machines) and 4-8 states (945-1,723 machines), respectively. In the best-case and worst-case scenarios, there were shortages in 3 and 26 states (614 and 4,540 machines). LIMITATIONS: Parameter estimates are influenced by assumptions made in the absence of published data on CKRT capacity and by the IHME model’s limitations. CONCLUSIONS: Several US states are projected to encounter CKRT shortages during the COVID-19 pandemic. These findings – while based on limited data on CKRT demand and capacity – suggest there being value during health care crises such as the COVID-19 pandemic in establishing an inpatient kidney replacement therapy national registry and maintaining a national stockpile of CKRT equipment. INDEX WORDS: Continuous renal replacement therapy (CKRT), coronavirus disease 2019 (COVID-19), acute kidney injury (AKI), acute kidney injury stage 3 requiring dialysis (AKI 3D), shortages, mathematical model. | Am J Kidney Dis | 2020 | LitCov and CORD-19 | |
| 7617 | Omicron spike function and neutralizing activity elicited by a comprehensive panel of vaccines N/A | Science | 2022 | LitCov | |
| 7618 | Longitudinal changes in anxiety and psychological distress and associated risk and protective factors during the first three months of the COVID-19 pandemic in Germany BACKGROUND: The COVID‐19 pandemic is related to multiple stressors and therefore may be associated with psychological distress. The aim of this study was to longitudinally assess symptoms of (un‐)specific anxiety and depression along different stages of the pandemic to generate knowledge about the progress of psychological consequences of the pandemic and to test the role of potential risk and resilience factors that were derived from cross‐sectional studies and official recommendations. METHODS: The present study uses a longitudinal observational design with four waves of online data collection (from March 27 to June 15, 2020) in a convenience sample of the general population in Germany. A total of N = 2376 participants that completed at least two waves of the survey were included in the analyses. FINDINGS: Specific COVID‐19‐related anxiety and the average daily amount of preoccupation with the pandemic decreased continuously over the four waves. Unspecific worrying and depressive symptoms decreased on average but not on median level. Self‐efficacy, normalization, maintaining social contacts, and knowledge, where to get medical support, were associated with fewer symptoms relative to baseline. Suppression, unhealthy habits, and a longer average daily time of thinking about the pandemic were correlated with a relative increase of symptoms. INTERPRETATION: Our findings provide insight into the longitudinal changes of symptoms of psychological distress along the first three months of the COVID‐19 pandemic in Germany. Furthermore, we were able to reaffirm the anticipated protective and risk factors that were extracted from previous studies and recommendations. | Brain Behav | 2020 | LitCov and CORD-19 | |
| 7619 | Active learning tools improve the learning outcomes, scientific attitude and critical thinking in higher education: Experiences in an online course during the COVID-19 pandemic Active teaching methodologies have been placed as a hope for changing education at different levels, transiting from passive lecture‐centered to student‐centered learning. With the health measures of social distance, the COVID‐19 pandemic forced a strong shift to remote education. With the challenge of delivering quality education through a computer screen, we validated and applied an online course model using active teaching tools for higher education. We incorporated published active‐learning strategies into an online construct, with problem‐based inquiry and design of inquiry research projects to serve as our core active learning tool. The gains related to students' science learning experiences and their attitudes toward science were assessed by applying questionnaires before, during, and after the course. The course counted on the participation of 83 students, most of them (60.8%) from postgraduate students. Our results show that engagement provided by active learning methods can improve performance both in hard and soft skills. Students' participation seems to be more relevant when activities require the interaction of information, prediction, and reasoning, such as open‐ended questions and design of research projects. Therefore, our data show that, in pandemic, active learning tools benefit students and improve their critical thinking and their motivation and positive positioning in science. | Biochem Mol Biol Educ | 2021 | LitCov and CORD-19 | |
| 7620 | Covid-19 and Healthcare's Digital Revolution N/A | N Engl J Med | 2020 | LitCov and CORD-19 | |
| 7621 | SARS-CoV-2 RNA detection and persistence in wastewater samples: An experimental network for COVID-19 environmental surveillance in Padua, Veneto Region (NE Italy) Background Clinical detection of SARS-CoV-2 RNA in stools supports the idea of wastewater-based epidemiology (WBE) as a precious tool for COVID-19 environmental surveillance. Successful detection of SARS-CoV-2 RNA in untreated wastewaters has been reported in several countries. This study investigated the presence and persistence of viral RNA in treated and untreated wastewaters in Padua, Italy. An urban experimental network of sampling sites was tested for prospective surveillance activities. Methods Seven sampling sites (i.e. wastewater pumping stations, plant inlets and outlets) were selected from the two main municipal wastewater treatment plant systems. Eleven grab samples (9 untreated, 2 treated wastewaters) were collected on 2 dates. All samples were tested at t0 for SARS-CoV-2 RNA and t1 = 24 h to investigate its persistence, at room temperature and under refrigerated conditions. Overall, 33 sub-samples were concentrated by ultrafiltration and tested for molecular detection of viral RNA with two RT-qPCR assays. Results At t0, positivity for at least one RT-qPCR assay was achieved by 4/9 untreated wastewater samples and 2/2 tertiary treated samples. A minimum SARS-CoV-2 titer of 4.8–4.9 log10 gc/L was estimated. At t1, three refrigerated subsamples were positive as well. The two RT-qPCR assays showed differential sensitivity, with the N assay detecting 90% of successful amplifications. Conclusions SARS-CoV-2 RNA was detected in untreated and treated wastewaters. Its persistence after 24 h was demonstrated in subsamples kept at 4 °C. Hospitalization data suggested an approximate WBE detection power of 1 COVID-19 case per 531 inhabitants. The possible role of WBE in COVID-19 environmental surveillance is strongly supported by our findings. WBE can also provide precious support in the decision-making process of restriction policies during the epidemic remission phase. Optimization and standardization of laboratory methods should be sought in the short term, so that results from different studies can be compared with reliability. | Sci Total Environ | 2020 | LitCov and CORD-19 | |
| 7622 | COVID-19: ICU delirium management during SARS-CoV-2 pandemic The novel coronavirus, SARS-CoV-2-causing Coronavirus Disease 19 (COVID-19), emerged as a public health threat in December 2019 and was declared a pandemic by the World Health Organization in March 2020. Delirium, a dangerous untoward prognostic development, serves as a barometer of systemic injury in critical illness. The early reports of 25% encephalopathy from China are likely a gross underestimation, which we know occurs whenever delirium is not monitored with a valid tool. Indeed, patients with COVID-19 are at accelerated risk for delirium due to at least seven factors including (1) direct central nervous system (CNS) invasion, (2) induction of CNS inflammatory mediators, (3) secondary effect of other organ system failure, (4) effect of sedative strategies, (5) prolonged mechanical ventilation time, (6) immobilization, and (7) other needed but unfortunate environmental factors including social isolation and quarantine without family. Given early insights into the pathobiology of the virus, as well as the emerging interventions utilized to treat the critically ill patients, delirium prevention and management will prove exceedingly challenging, especially in the intensive care unit (ICU). The main focus during the COVID-19 pandemic lies within organizational issues, i.e., lack of ventilators, shortage of personal protection equipment, resource allocation, prioritization of limited mechanical ventilation options, and end-of-life care. However, the standard of care for ICU patients, including delirium management, must remain the highest quality possible with an eye towards long-term survival and minimization of issues related to post-intensive care syndrome (PICS). This article discusses how ICU professionals (e.g., physicians, nurses, physiotherapists, pharmacologists) can use our knowledge and resources to limit the burden of delirium on patients by reducing modifiable risk factors despite the imposed heavy workload and difficult clinical challenges posed by the pandemic. | Crit Care | 2020 | LitCov and CORD-19 | |
| 7623 | Attitudes and personal beliefs about the COVID-19 vaccine among people with COVID-19: a mixed-methods analysis N/A | BMC Public Health | 2022 | LitCov | |
| 7624 | The impact of the COVID-19 pandemic on the mental health of medical staff considering the interplay of pandemic burden and psychosocial resources-A rapid systematic review BACKGROUND: In times of the global corona pandemic health care workers (HCWs) fight the disease at the frontline of healthcare services and are confronted with an exacerbated load of pandemic burden. Psychosocial resources are thought to buffer adverse effects of pandemic stressors on mental health. This rapid review summarizes evidence on the specific interplay of pandemic burden and psychosocial resources with regard to the mental health of HCWs during the COVID-19 pandemic. The goal was to derive potential starting points for supportive interventions. METHODS: We conducted a rapid systematic review following the recommendations of the Cochrane Rapid Reviews Methods Group. We searched 7 databases in February 2021 and included peer-reviewed quantitative studies, that reported related data on pandemic stressors, psychosocial resources, and mental health of HCWs. RESULTS: 46 reports were finally included in the review and reported data on all three outcomes at hand. Most studies (n = 41) applied a cross-sectional design. Our results suggest that there are several statistically significant pandemic risk factors for mental health problems in HCWs such as high risk and fear of infection, while resilience, active and emotion-focused coping strategies as well as social support can be considered beneficial when protecting different aspects of mental health in HCWs during the COVID-19 pandemic. Evidence for patterns of interaction between outcomes were found in the context of coping style when facing specific pandemic stressors. CONCLUSIONS: Our results indicate that several psychosocial resources may play an important role in buffering adverse effects of pandemic burden on the mental health of HCWs in the context of the COVID-19 pandemic. Nevertheless, causal interpretations of mentioned associations are inadequate due to the overall low study quality and the dominance of cross-sectional study designs. Prospective longitudinal studies are required to elucidate the missing links. | PLoS One | 2022 | LitCov and CORD-19 | |
| 7625 | Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 Key questions in COVID-19 are the duration and determinants of infectious virus shedding. Here, we report that infectious virus shedding is detected by virus cultures in 23 of the 129 patients (17.8%) hospitalized with COVID-19. The median duration of shedding infectious virus is 8 days post onset of symptoms (IQR 5–11) and drops below 5% after 15.2 days post onset of symptoms (95% confidence interval (CI) 13.4–17.2). Multivariate analyses identify viral loads above 7 log(10) RNA copies/mL (odds ratio [OR] of 14.7 (CI 3.57-58.1; p < 0.001) as independently associated with isolation of infectious SARS-CoV-2 from the respiratory tract. A serum neutralizing antibody titre of at least 1:20 (OR of 0.01 (CI 0.003-0.08; p < 0.001) is independently associated with non-infectious SARS-CoV-2. We conclude that quantitative viral RNA load assays and serological assays could be used in test-based strategies to discontinue or de-escalate infection prevention and control precautions. | Nat Commun | 2021 | LitCov and CORD-19 | |
| 7626 | Personality, Coping Strategies and Mental Health in High-Performance Athletes During Confinement Derived From the COVID-19 Pandemic The COVID-19 outbreak has affected the sports field unprecedentedly. The emergency alert has deprived athletes of training in a suitable environment, as they are faced with cancellations of relevant events in their sports careers. This situation can cause stress levels and other emotional disorders similar to those experienced by athletes during periods of injury. Since the relationship between psychological factors and sports injuries is well-studied, the Global Psychological Model of Sports Injury (MGPLD) is applied to this historical situation for athletes. The purpose of this study was to analyze the relationships between perfectionism and trait anxiety with indicators of mental health (mood, depression, state anxiety, and stress) in high-performance athletes during confinement due to the COVID-19 pandemic, as well as to explore the coping strategies that athletes have applied and whether they are perceived as useful for managing negative emotional states. A cross-sectional study was conducted through online questionnaires during April 2020, adapting the Psychological Assessment Protocol of the High-Performance Sports Center of Murcia (Spain), to assess the psychological effects of confinement in a cross-cultural sample of 310 athletes (141 women and 169 men) from different countries in Europe, Asia, and America, and from diverse sports disciplines. The protocol comprised six instruments that test perfectionism, trait anxiety, mood states, stress, depression, coping strategies, and sleep. It was answered online via Google Forms. The results show that maladaptive perfectionism was related to all the indicators of athletes' mental health. However, athletes' levels of anxiety, stress, and depressive symptoms are relatively low, and the use of coping strategies such as cognitive restructuring and emotional calm was associated with lower levels of negative emotional states. Besides, the Iceberg Profile, a suitable fit for the mental health model, is observed in the mood of athletes, both in men and in women, although women showed higher levels of anxiety, stress, and depression than men. A strong relationship was observed between maladaptive perfectionism and martial arts sports discipline, superior to other sports. In short, it can be concluded that high-performance athletes in the studied sample showed negative emotional state values below the expected average. Finally, the proposals for practical applications of the results collected are discussed. | Front Public Health | 2020 | LitCov and CORD-19 | |
| 7627 | Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets N/A | IEEE Trans Med Imaging | 2020 | LitCov and CORD-19 | |
| 7628 | The use of anti-inflammatory drugs in the treatment of people with severe COVID-19: The Perspectives of clinical immunologists from China The pandemic outbreak of coronavirus disease 2019 (COVID-19) is rapidly spreading all over the world. Reports from China showed that about 20% of patients developed severe disease, resulting in a fatality of 4%. In the past two months, we clinical immunologists participated in multi-rounds of MDT (multidiscipline team) discussion on the anti-inflammation management of critical COVID-19 patients, with our colleagues dispatched from Chinese leading PUMC Hospital to Wuhan to admit and treat the most severe patients. Here, from the perspective of clinical immunologists, we will discuss the clinical and immunological characteristics of severe patients, and summarize the current evidence and share our experience in anti-inflammation treatment, including glucocorticoids, IL-6 antagonist, JAK inhibitors and choloroquine/hydrocholoroquine, of patients with severe COVID-19 that may have an impaired immune system. | Clin Immunol | 2020 | LitCov and CORD-19 | |
| 7629 | The effects of the measures against COVID-19 pandemic on physical activity among school-aged children and adolescents (6-17 years) in 2020: A protocol for systematic review BACKGROUND: The pandemic of coronavirus disease (COVID-19) has greatly changed people’s daily lives, forcing countries to take actions, such as school shutdown, lockdown, isolation, and social distancing measures. It remains unclear how the closures, cancellations, and restrictions of schools and courses as a response to the COVID-19 pandemic affect the engagement of school-aged children and adolescents in relation to physical activity (PA). METHODS: The articles in the databases of EBSCO (including AMED, CINAHL Plus, Health Business, Health Source MEDLINE with Full Text, APA PsycArticles, APA PsycINFO, and SPORTDiscus) published during the period from 1 January 2020 to 31 December 2020 will be retrieved, and the data in the selected articles are extracted, including research methods, demographics, and key results. Search outcomes were reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The Mixed Methods Appraisal Tool (MMAT) will be used to evaluate research quality. Two reviewers are responsible for completing the three tasks, namely selecting the articles that meet the inclusion criteria, extracting data in the articles selected, and evaluating their research quality. All findings, and especially primary outcomes will be summarized in a table format of findings. The results will provide a high-quality synthesis of current evidence for researchers in this subject area. AIM: The objective of this systematic review is to investigate the effects of the COVID-19 pandemic on PA in children and adolescents aged 6–17 years during 2020. 1). What impact has the COVID-19 pandemic had on PA levels in school-aged children and adolescents? 2). Investigating changes in the locations of school-aged children’s and adolescents’ PA between the pre-COVID-19 period (January 2020) and the COVID-19 period (December 2020). RESULTS: We hope that this study will provide government authorities and health professionals with the necessary information in guiding actions and allocating resources, so that the situation of physical inactivity in school-aged children and adolescents during the COVID-19 pandemic can be improved, thereby enhancing their physical health. PROTOCOL REGISTRATION NUMBER: This review was submitted and registered under CRD42020225976 in PROSPERO. | PLoS One | 2021 | LitCov and CORD-19 | |
| 7630 | Neutralization of SARS-CoV-2 by Destruction of the Prefusion Spike Summary There are as yet no licenced therapeutics for the COVID-19 pandemic. The causal coronavirus (SARS-CoV-2) binds host cells via a trimeric Spike whose receptor binding domain (RBD) recognises angiotensin-converting enzyme 2 (ACE2), initiating conformational changes that drive membrane fusion. We find that the monoclonal antibody CR3022 binds the RBD tightly, neutralising SARS-CoV-2 and report the crystal structure at 2.4 Å of the Fab/RBD complex. Some crystals are suitable for screening for entry-blocking inhibitors. The highly conserved, structure-stabilising, CR3022 epitope is inaccessible in the prefusion Spike, suggesting that CR3022 binding facilitates conversion to the fusion-incompetent post-fusion state. Cryo-EM analysis confirms that incubation of Spike with CR3022 Fab leads to destruction of the prefusion trimer. Presentation of this cryptic epitope in an RBD-based vaccine might advantageously focus immune responses. Binders at this epitope may be useful therapeutically, possibly in synergy with an antibody blocking receptor attachment. | Cell Host Microbe | 2020 | LitCov and CORD-19 | |
| 7631 | Neutralization of Omicron BA.1, BA.2 and BA.3 SARS-CoV-2 by 3 doses of BNT162b2 vaccine N/A | Nat Commun | 2022 | LitCov | |
| 7632 | COVID-19 length of hospital stay: a systematic review and data synthesis BACKGROUND: The COVID-19 pandemic has placed an unprecedented strain on health systems, with rapidly increasing demand for healthcare in hospitals and intensive care units (ICUs) worldwide. As the pandemic escalates, determining the resulting needs for healthcare resources (beds, staff, equipment) has become a key priority for many countries. Projecting future demand requires estimates of how long patients with COVID-19 need different levels of hospital care. METHODS: We performed a systematic review of early evidence on length of stay (LoS) of patients with COVID-19 in hospital and in ICU. We subsequently developed a method to generate LoS distributions which combines summary statistics reported in multiple studies, accounting for differences in sample sizes. Applying this approach, we provide distributions for total hospital and ICU LoS from studies in China and elsewhere, for use by the community. RESULTS: We identified 52 studies, the majority from China (46/52). Median hospital LoS ranged from 4 to 53 days within China, and 4 to 21 days outside of China, across 45 studies. ICU LoS was reported by eight studies—four each within and outside China—with median values ranging from 6 to 12 and 4 to 19 days, respectively. Our summary distributions have a median hospital LoS of 14 (IQR 10–19) days for China, compared with 5 (IQR 3–9) days outside of China. For ICU, the summary distributions are more similar (median (IQR) of 8 (5–13) days for China and 7 (4–11) days outside of China). There was a visible difference by discharge status, with patients who were discharged alive having longer LoS than those who died during their admission, but no trend associated with study date. CONCLUSION: Patients with COVID-19 in China appeared to remain in hospital for longer than elsewhere. This may be explained by differences in criteria for admission and discharge between countries, and different timing within the pandemic. In the absence of local data, the combined summary LoS distributions provided here can be used to model bed demands for contingency planning and then updated, with the novel method presented here, as more studies with aggregated statistics emerge outside China. | BMC Med | 2020 | LitCov and CORD-19 | |
| 7633 | Clinical features of COVID-19 in children: a systemic review of severe acute respiratory syndrome, Middle East respiratory syndrome and COVID-19 N/A | Zhongguo Dang Dai Er Ke Za Zhi | 2020 | LitCov and CORD-19 | |
| 7634 | Innovative Community Care and the Sustainable Development of University Social Responsibility in the Post-Pandemic Era N/A | Hu Li Za Zhi | 2022 | LitCov | |
| 7635 | Vaccination Is Associated With Shorter Time to Target Cycle Threshold Value in Patients With SARS-CoV-2 Omicron Variant N/A | Front Cell Infect Microbiol | 2022 | LitCov | |
| 7636 | Rational use of face masks in the COVID-19 pandemic | Lancet Respir Med | 2020 | LitCov and CORD-19 | |
| 7637 | Digital Contact Tracing Based on a Graph Database Algorithm for Emergency Management During the COVID-19 Epidemic: Case Study BACKGROUND: The COVID-19 epidemic is still spreading globally. Contact tracing is a vital strategy in epidemic emergency management; however, traditional contact tracing faces many limitations in practice. The application of digital technology provides an opportunity for local governments to trace the contacts of individuals with COVID-19 more comprehensively, efficiently, and precisely. OBJECTIVE: Our research aimed to provide new solutions to overcome the limitations of traditional contact tracing by introducing the organizational process, technical process, and main achievements of digital contact tracing in Hainan Province. METHODS: A graph database algorithm, which can efficiently process complex relational networks, was applied in Hainan Province; this algorithm relies on a governmental big data platform to analyze multisource COVID-19 epidemic data and build networks of relationships among high-risk infected individuals, the general population, vehicles, and public places to identify and trace contacts. We summarized the organizational and technical process of digital contact tracing in Hainan Province based on interviews and data analyses. RESULTS: An integrated emergency management command system and a multi-agency coordination mechanism were formed during the emergency management of the COVID-19 epidemic in Hainan Province. The collection, storage, analysis, and application of multisource epidemic data were realized based on the government’s big data platform using a centralized model. The graph database algorithm is compatible with this platform and can analyze multisource and heterogeneous big data related to the epidemic. These practices were used to quickly and accurately identify and trace 10,871 contacts among hundreds of thousands of epidemic data records; 378 closest contacts and a number of public places with high risk of infection were identified. A confirmed patient was found after quarantine measures were implemented by all contacts. CONCLUSIONS: During the emergency management of the COVID-19 epidemic, Hainan Province used a graph database algorithm to trace contacts in a centralized model, which can identify infected individuals and high-risk public places more quickly and accurately. This practice can provide support to government agencies to implement precise, agile, and evidence-based emergency management measures and improve the responsiveness of the public health emergency response system. Strengthening data security, improving tracing accuracy, enabling intelligent data collection, and improving data-sharing mechanisms and technologies are directions for optimizing digital contact tracing. | JMIR Mhealth Uhealth | 2021 | LitCov and CORD-19 | |
| 7638 | Evaluation of two automated and three rapid lateral flow immunoassays for the detection of anti-SARS-CoV-2 antibodies Abstract Introduction Several SARS-CoV-2 immunoassays have been developed recently. The purpose of this study was to assess the performance of five immunoassays for the detection of SARS-CoV-2 antibodies. Methods Two quantitative automated immunoassays (MaglumiTM 2019-n-Cov IgG and IgM and Euroimmun Anti-SARS-CoV-2 IgG and IgA assays) and three lateral flow rapid tests were performed. This retrospective study included 200 residual sera from patients and healthy volunteers. Case serum samples (n = 128) were obtained from COVID-19 patients confirmed by RT-qPCR and CT-scan. Days since onset of symptoms was collected from their medical records. Control non-SARS-CoV-2 samples (n = 72) were obtained from anonymous stored residual serum samples. Results MaglumiTM IgG/IgM tests showed overall less sensitivity than Euroimmun IgG/IgA test (84.4% versus 64.3%). Both tests showed similar specificities of IgG at 99% and 100%, respectively. The two tests showed similar specificity for IgG at 99% and 100%, respectively. The results from the lateral flow assays were easily interpretable with unambiguous coloured reading bands. The overall sensitivity of the three tests was similar (around 70%) without any significant differences. The sensitivity of the three lateral flow assays and also of the serological quantitative assays increased during the second week after symptom onset and all reached similar values (91% to 94%) after 14 days. Conclusion This study shows accurate and equivalent performance of the five serological antibody assays (ELISA, CLIA and three lateral flow tests) in detecting SARS-CoV-2 antibodies 14 days after the onset of COVID-19 symptoms. This is compatible with their application in specific clinical contexts and in determining epidemiological strategies for the COVID-19 pandemic. | J Clin Virol | 2020 | LitCov and CORD-19 | |
| 7639 | SARS-CoV-2 Seroconversion in Humans: A Detailed Protocol for a Serological Assay, Antigen Production and Test Setup In late 2019, cases of atypical pneumonia were detected in China. The etiological agent was quickly identified as a betacoronavirus (named SARS‐CoV‐2), which has since caused a pandemic. Several methods allowing for the specific detection of viral nucleic acids have been established, but these only allow detection of the virus during a short period of time, generally during acute infection. Serological assays are urgently needed to conduct serosurveys, to understand the antibody responses mounted in response to the virus, and to identify individuals who are potentially immune to re‐infection. Here we describe a detailed protocol for expression of antigens derived from the spike protein of SARS‐CoV‐2 that can serve as a substrate for immunological assays, as well as a two‐stage serological enzyme‐linked immunosorbent assay (ELISA). These assays can be used for research studies and for testing in clinical laboratories. © 2020 The Authors. Current Protocols in Microbiology published by Wiley Periodicals LLC. Basic Protocol 1: Mammalian cell transfection and protein purification Basic Protocol 2: A two‐stage ELISA for high‐throughput screening of human serum samples for antibodies binding to the spike protein of SARS‐CoV‐2 | Curr Protoc Microbiol | 2020 | LitCov and CORD-19 | |
| 7640 | Symptoms, complications and management of long COVID: a review Globally, there are now over 160 million confirmed cases of COVID-19 and more than 3 million deaths. While the majority of infected individuals recover, a significant proportion continue to experience symptoms and complications after their acute illness. Patients with ‘long COVID’ experience a wide range of physical and mental/psychological symptoms. Pooled prevalence data showed the 10 most prevalent reported symptoms were fatigue, shortness of breath, muscle pain, joint pain, headache, cough, chest pain, altered smell, altered taste and diarrhoea. Other common symptoms were cognitive impairment, memory loss, anxiety and sleep disorders. Beyond symptoms and complications, people with long COVID often reported impaired quality of life, mental health and employment issues. These individuals may require multidisciplinary care involving the long-term monitoring of symptoms, to identify potential complications, physical rehabilitation, mental health and social services support. Resilient healthcare systems are needed to ensure efficient and effective responses to future health challenges. | J R Soc Med | 2021 | LitCov and CORD-19 | |
| 7641 | The Positive Rhinovirus/Enterovirus Detection and SARS-CoV-2 Persistence beyond the Acute Infection Phase: An Intra-Household Surveillance Study We aimed to assess the duration of nasopharyngeal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA persistence in adults self-confined at home after acute infection; and to identify the associations of SARS-CoV-2 persistence with respiratory virus co-detection and infection transmission. A cross-sectional intra-household study was conducted in metropolitan Barcelona (Spain) during the time period of April to June 2020. Every adult who was the first family member reported as SARS-CoV-2-positive by reverse transcription polymerase chain reaction (RT-PCR) as well as their household child contacts had nasopharyngeal swabs tested by a targeted SARS-CoV-2 RT-PCR and a multiplex viral respiratory panel after a 15 day minimum time lag. Four-hundred and four households (404 adults and 708 children) were enrolled. SARS-CoV-2 RNA was detected in 137 (33.9%) adults and 84 (11.9%) children. Rhinovirus/Enterovirus (RV/EV) was commonly found (83.3%) in co-infection with SARS-CoV-2 in adults. The mean duration of SARS-CoV-2 RNA presence in adults’ nasopharynx was 52 days (range 26–83 days). The persistence of SARS-CoV-2 was significantly associated with RV/EV co-infection (adjusted odds ratio (aOR) 9.31; 95% CI 2.57–33.80) and SARS-CoV-2 detection in child contacts (aOR 2.08; 95% CI 1.24–3.51). Prolonged nasopharyngeal SARS-CoV-2 RNA persistence beyond the acute infection phase was frequent in adults quarantined at home during the first epidemic wave; which was associated with RV/EV co-infection and could enhance intra-household infection transmission. | Viruses | 2021 | LitCov and CORD-19 | |
| 7642 | Stress and Adjustment during the COVID-19 Pandemic: A Qualitative Study on the Lived Experience of Canadian Older Adults In response to the COVID-19 pandemic, social distancing measures were put into place to flatten the pandemic curve. It was projected that older adults were at increased risk for poor psychological and health outcomes resulting from increased social isolation and loneliness. However, little research has supported this projection among community-dwelling older adults. While a growing body of research has examined the impact of the COVID-19 pandemic on older adults, there is a paucity of qualitative research that captures the lived experience of community-dwelling older adults in Canada. The current study aimed to better understand the lived experience of community-dwelling older adults during the first six months of the pandemic in Ontario, Canada. Semi-structured one-on-one interviews were conducted with independent-living older adults aged 65 years and older. A total of 22 interviews were analyzed using inductive thematic analysis. Following a recursive process, two overarching themes were identified: perceived threat and challenges of the pandemic, and coping with the pandemic. Specifically, participants reflected on the threat of contracting the virus and challenges associated with living arrangements, social isolation, and financial insecurity. Participants shared their coping strategies to maintain health and wellbeing, including behavioral strategies, emotion-focused strategies, and social support. Overall, this research highlights resilience among older adults during the first six months of the pandemic. | Int J Environ Res Public Healt | 2021 | LitCov and CORD-19 | |
| 7643 | Symptoms of Anxiety, Depression and Peritraumatic Dissociation in Critical Care Clinicians Managing Patients with COVID-19. A Cross-Sectional Study Rationale: Frontline healthcare providers (HCPs) during the coronavirus disease (COVID-19) pandemic are at high risk of mental morbidity. Objectives: To assess the prevalence of symptoms of anxiety, depression, and peritraumatic dissociation in HCPs. Methods: This was a cross-sectional study in 21 ICUs in France between April 20, 2020, and May 21, 2020. The Hospital Anxiety and Depression Scale and the Peritraumatic Dissociative Experience Questionnaire were used. Factors independently associated with reported symptoms of mental health disorders were identified. Measurements and Main Results: The response rate was 67%, with 1,058 respondents (median age 33 yr; 71% women; 68% nursing staff). The prevalence of symptoms of anxiety, depression, and peritraumatic dissociation was 50.4%, 30.4%, and 32%, respectively, with the highest rates in nurses. By multivariable analysis, male sex was independently associated with lower prevalence of symptoms of anxiety, depression, and peritraumatic dissociation (odds ratio of 0.58 [95% confidence interval, 0.42–0.79], 0.57 [95% confidence interval, 0.39–0.82], and 0.49 [95% confidence interval, 0.34–0.72], respectively). HCPs working in non–university-affiliated hospitals and nursing assistants were at high risk of symptoms of anxiety and peritraumatic dissociation. Importantly, we identified the following six modifiable determinants of symptoms of mental health disorders: fear of being infected, inability to rest, inability to care for family, struggling with difficult emotions, regret about the restrictions in visitation policies, and witnessing hasty end-of-life decisions. Conclusions: HCPs experience high levels of psychological burden during the COVID-19 pandemic. Hospitals, ICU directors, and ICU staff must devise strategies to overcome the modifiable determinants of adverse mental illness symptoms. | Am J Respir Crit Care Med | 2020 | LitCov and CORD-19 | |
| 7644 | Social Media Efficacy in Crisis Management: Effectiveness of Non-pharmaceutical Interventions to Manage COVID-19 Challenges The new identified virus COVID-19 has become one of the most contagious diseases in human history. The ongoing coronavirus has created severe threats to global mental health, which have resulted in crisis management challenges and international concerns related to health issues. As of September 9, 2021, there were over 223.4 million patients with COVID-19, including 4.6 million deaths and over 200 million recovered patients reported worldwide, which has made the COVID-19 outbreak one of the deadliest pandemics in human history. The aggressive public health implementations endorsed various precautionary safety and preventive strategies to suppress and minimize COVID-19 disease transmission. The second, third, and fourth waves of COVID-19 continue to pose global challenges to crisis management, as its evolution and implications are still unfolding. This study posits that examining the strategic ripostes and pandemic experiences sheds light on combatting this global emergency. This study recommends two model strategies that help reduce the adverse effects of the pandemic on the immune systems of the general population. This present paper recommends NPI interventions (non-pharmaceutical intervention) to combine various measures, such as the suppression strategy (lockdown and restrictions) and mitigation model to decrease the burden on health systems. The current COVID-19 health crisis has influenced all vital economic sectors and developed crisis management problems. The global supply of vaccines is still not sufficient to manage this global health emergency. In this crisis, NPIs are helpful to manage the spillover impacts of the pandemic. It articulates the prominence of resilience and economic and strategic agility to resume economic activities and resolve healthcare issues. This study primarily focuses on the role of social media to tackle challenges and crises posed by COVID-19 on economies, business activities, healthcare burdens, and government support for societies to resume businesses, and implications for global economic and healthcare provision disruptions. This study suggests that intervention strategies can control the rapid spread of COVID-19 with hands-on crisis management measures, and the healthcare system will resume normal conditions quickly. Global economies will revitalize scientific contributions and collaborations, including social science and business industries, through government support. | Front Psychiatry | 2021 | LitCov and CORD-19 | |
| 7645 | Impact of international travel and border control measures on the global spread of the novel 2019 coronavirus outbreak The novel coronavirus outbreak (COVID-19) in mainland China has rapidly spread across the globe. Within 2 mo since the outbreak was first reported on December 31, 2019, a total of 566 Severe Acute Respiratory Syndrome (SARS CoV-2) cases have been confirmed in 26 other countries. Travel restrictions and border control measures have been enforced in China and other countries to limit the spread of the outbreak. We estimate the impact of these control measures and investigate the role of the airport travel network on the global spread of the COVID-19 outbreak. Our results show that the daily risk of exporting at least a single SARS CoV-2 case from mainland China via international travel exceeded 95% on January 13, 2020. We found that 779 cases (95% CI: 632 to 967) would have been exported by February 15, 2020 without any border or travel restrictions and that the travel lockdowns enforced by the Chinese government averted 70.5% (95% CI: 68.8 to 72.0%) of these cases. In addition, during the first three and a half weeks of implementation, the travel restrictions decreased the daily rate of exportation by 81.3% (95% CI: 80.5 to 82.1%), on average. At this early stage of the epidemic, reduction in the rate of exportation could delay the importation of cases into cities unaffected by the COVID-19 outbreak, buying time to coordinate an appropriate public health response. | Proc Natl Acad Sci U S A | 2020 | LitCov and CORD-19 | |
| 7646 | Evaluation of bacterial agents isolated from endotracheal aspirate cultures of Covid-19 general intensive care patients and their antibiotic resistance profiles compared to pre-pandemic conditions BACKGROUND: Early reports have shown that critically ill patients infected with SARS-CoV-2 have a high prevalence of nosocomial pneumonia, particularly ventilator-associated pneumonia (VAP). METHOD: In the present study, we determined the bacterial agents isolated in endotracheal aspirate (ETA) cultures of Covid-19 general intensive care patients and evaluated the antibiotic resistance profiles of common bacterial agents compared to the pre-pandemic period. RESULTS: While a total of 119 significant growths with polymicrobial growths were detected in the ETA cultures of 73 (7.5%) of 971 patients hospitalized in the intensive care unit before the pandemic, 87 significant growths were detected in the ETA cultures of 67 (11.1%) of 602 patients hospitalized in the Covid-19 intensive care unit (ICU) after the pandemic. While 61 (83.6%) of patients in the ICU died before the pandemic, 63 (94.0%) of patients in the Covid-19 ICU died after the pandemic. In terms of age, gender, and mortality, there was no significant difference between the two ICUs (p > 0.05). Before the pandemic, the mean length of stay in the ICU was 33.59 ± 32.89 days, and after the pandemic, it was 13.49 ± 8.03 days. This was a statistically significant difference (p < 0.05). Acinetobacter baumannii (28.5%), Klebsiella pneumoniae (22.6%), Pseudomonas aeruginosa (15.9%), Staphylococcus aureus (6.7%), Escherichia coli (7.5%), Candida spp. (5.0%) were the most prevalent causal bacteria discovered in pre-pandemic ICU ETA samples, whereas A. baumannii (54.0%), K. pneumoniae (10.3%), P. aeruginosa (6.8%), E. faecium (8%), and Candida spp.(13.7%) were the most common causative microorganisms detected in Covid-19 ICU ETA samples. Except for tigecycline, antibiotic resistance rates in A. baumannii strains increased following the pandemic. Only tobramycin showed a significant difference in the increase of resistance among these antibiotics (p = 0.037). The rate of tigecycline resistance, on the other hand, was 17.6% before the pandemic and 2.2% afterward (p < 0.05). After the pandemic, increased resistance of K. pneumoniae strains to colistin, meropenem, ertapenem, amoxicillin-clavulanic acid, piperacillin-tazobactam, ciprofloxacin, tigecycline, and cefepime antibiotics was observed. However, these increases were not statistically significant. Except for imipenem, antibiotic resistance rates in P. aeruginosa strains increased following the pandemic. The resistance rise of the antibiotics ceftazidime and levofloxacin was shown to be significantly different (p < 0.05). CONCLUSION: As a result, the Covid-19 pandemic requires intensive care follow-ups at an earlier age and with a more mortal course. Although the length of stay in the intensive care unit has been shortened, it is observed that this situation is observed due to early mortality. In P. aeruginosa strains, a significant difference was detected in the resistance increase of the ceftazidime and levofloxacin (p < 0.05) and with the exception of tigecycline, antibiotic resistance rates in A. baumannii strains increased following the pandemic. Only tobramycin showed a significant difference in the increase of resistance among these antibiotics (p = 0.037). Secondary infections in patients create more difficult treatment processes due to both Covid-19 and increasing antibiotic resistance today. | Microb Pathog | 2022 | LitCov and CORD-19 | |
| 7647 | Air pollution and COVID-19 mortality in the United States: Strengths and limitations of an ecological regression analysis Assessing whether long-term exposure to air pollution increases the severity of COVID-19 health outcomes, including death, is an important public health objective. Limitations in COVID-19 data availability and quality remain obstacles to conducting conclusive studies on this topic. At present, publicly available COVID-19 outcome data for representative populations are available only as area-level counts. Therefore, studies of long-term exposure to air pollution and COVID-19 outcomes using these data must use an ecological regression analysis, which precludes controlling for individual-level COVID-19 risk factors. We describe these challenges in the context of one of the first preliminary investigations of this question in the United States, where we found that higher historical PM(2.5) exposures are positively associated with higher county-level COVID-19 mortality rates after accounting for many area-level confounders. Motivated by this study, we lay the groundwork for future research on this important topic, describe the challenges, and outline promising directions and opportunities. | Sci Adv | 2020 | LitCov and CORD-19 | |
| 7648 | Leveraging Transfer Learning to Analyze Opinions, Attitudes and Behavioral Intentions Towards COVID-19 Vaccines: Social Media Content and Temporal Analysis BACKGROUND: The COVID-19 vaccine is considered to be the most promising approach to alleviate the pandemic. However, in recent surveys, acceptance of the COVID-19 vaccine has been low. To design more effective outreach interventions, there is an urgent need to understand public perceptions of COVID-19 vaccines. OBJECTIVE: Our objective was to analyze the potential of leveraging transfer learning to detect tweets containing opinions, attitudes, and behavioral intentions toward COVID-19 vaccines, and to explore temporal trends as well as automatically extract topics across a large number of tweets. METHODS: We developed machine learning and transfer learning models to classify tweets, followed by temporal analysis and topic modeling on a dataset of COVID-19 vaccine–related tweets posted from November 1, 2020 to January 31, 2021. We used the F1 values as the primary outcome to compare the performance of machine learning and transfer learning models. The statistical values and P values from the Augmented Dickey-Fuller test were used to assess whether users’ perceptions changed over time. The main topics in tweets were extracted by latent Dirichlet allocation analysis. RESULTS: We collected 2,678,372 tweets related to COVID-19 vaccines from 841,978 unique users and annotated 5000 tweets. The F1 values of transfer learning models were 0.792 (95% CI 0.789-0.795), 0.578 (95% CI 0.572-0.584), and 0.614 (95% CI 0.606-0.622) for these three tasks, which significantly outperformed the machine learning models (logistic regression, random forest, and support vector machine). The prevalence of tweets containing attitudes and behavioral intentions varied significantly over time. Specifically, tweets containing positive behavioral intentions increased significantly in December 2020. In addition, we selected tweets in the following categories: positive attitudes, negative attitudes, positive behavioral intentions, and negative behavioral intentions. We then identified 10 main topics and relevant terms for each category. CONCLUSIONS: Overall, we provided a method to automatically analyze the public understanding of COVID-19 vaccines from real-time data in social media, which can be used to tailor educational programs and other interventions to effectively promote the public acceptance of COVID-19 vaccines. | J Med Internet Res | 2021 | LitCov and CORD-19 | |
| 7649 | ANTi-Vax: a novel Twitter dataset for COVID-19 vaccine misinformation detection Objectives COVID-19 (SARS-CoV-2) pandemic has infected hundreds of millions and inflicted millions of deaths around the globe. Fortunately, the introduction of COVID vaccines provided a glimmer of hope and a pathway to recovery. However, due to misinformation being spread on social media and other platforms, there has been a rise in vaccine hesitancy which can lead to a negative impact on vaccine uptake in the population. The goal of this research is to introduce a novel machine learning-based COVID-19 vaccine misinformation detection framework. Study Design We collected and annotated COVID-19 vaccine tweets and trained machine learning algorithms to classify vaccine misinformation. Methods More than 15,000 tweets were annotated as misinformation or general vaccine tweets using reliable sources and validated by medical experts. The classification models explored were XGBoost, LSTM, and BERT transformer model. Results The best classification performance was obtained using BERT, resulting in 0.98 F1-score on the test set. The precision and recall scores were 0.97 and 0.98 respectively. Conclusion Machine learning-based models are effective in detecting misinformation regarding COVID-19 vaccines on social media platforms. | Public Health | 2021 | LitCov and CORD-19 | |
| 7650 | Comparative Profiles of SARS-CoV-2 Spike-Specific Human Milk Antibodies Elicited by mRNA- and Adenovirus-Based COVID-19 Vaccines N/A | Breastfeed Med | 2022 | LitCov |
(1) COVID-19 Open Research Dataset (CORD-19). 2020. Version 2022-06-02. Retrieved from https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/historical_releases.html. Accessed 2022-06-05. doi:10.5281/zenodo.3715506
(2) Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193 and Chen Q, Allot A, Lu Z. LitCovid: an open database of COVID-19 literature. Nucleic Acids Research. 2020. (version 2023-01-10)
(3) Currently tweets of June 23rd to June 29th 2022 have been considered.