Coronavirus Disease 2019 Public Research Articles

Translation in action: Influence, collaboration, and evolution of COVID-19 research with Clinical and Translational Science Awards consortium support.

The National Institutes of Health (NIH)'s Clinical and Translational Science Awards (CTSA) consortium aims to accelerate translational processes that move discoveries from bench to bedside. The coronavirus disease 2019 (COVID-19) pandemic presented unmatched challenges and applications for CTSA hubs nationwide. Our study used bibliometrics to assess features of COVID-19 publications supported by the national CTSA program to characterize the consortium's response to the pandemic. Our goal was to understand relative scientific influence, collaboration across hubs, and trends in research emphasis over time. We identified publications from NIH's curated iSearch COVID-19 Publication Portfolio from February 2020 to February 2023; 3234 peer-reviewed articles relevant to COVID-19 cited a CTSA grant. All 66 CTSA hubs were represented, with large-size and longstanding hubs contributing more publications. Most publications cited UL1 grants, 457 cited KL2/TL1 training grants, and 164 cited multiple hub grants. Compared to a random sample of non-CTSA-supported COVID-19 publications, the CTSA portfolio exhibited greater clinical relevance, more human research, and higher altmetric and citation influence. Results were similar for multi-hub publications involving networked initiatives like multi-site clinical trials or the National COVID-19 Cohort Collaborative. Shifts from molecular/cellular-oriented research toward human-oriented research over time were evident, demonstrating translation in action. Results illuminate how the CTSA consortium confronted the pandemic through high-quality projects oriented toward human research, working across hubs on high-value collaborations, advancing along the translational spectrum over time. Findings validate CTSA hubs as critical support structures during health emergencies.

Localizing COVID-19 Public Health Department Outreach on Digital Platforms: The Role of Discoverability, Reach, and Moderation for Illinois’ COVID-19 Vaccination Rates

The politicization of coronavirus disease 2019 (COVID-19) in the United States and abroad has received significant scholarly attention, particularly surrounding misinformation circulating on social media among millions of users. However there has been far less attention paid to how platforms like Facebook, Twitter, and others impact vaccine uptake within local, geographically specific communities. Local public health departments view platforms as critical communication infrastructure for outreach. Through a case study of Illinois, we examine how vaccine uptake is associated with county-level public health communication on Facebook, political regionalism, demographic variation, and digital access and reach. We ask about (a) discoverability: are individuals conducting digital searches able to find and access local public health information on their websites and social media? (b) reach: does growth in public health departments’ Facebook followers correlate to vaccination rate? and (c) practices: is there an association between discoverability, moderation policies/practices of local public health departments’ Facebook pages, and county-reported vaccination rates? We draw on original data about discoverability and local public health department’s Facebook pages in addition to secondary data on voting behavior and rurality. We find discoverability as well as moderation are positively associated with vaccination rates, while greater Facebook reach in rural Illinois is negatively correlated with vaccination rates.

COVID-19 retracted publications on retraction watch: A systematic survey of their pre-prints and citations

BackgroundStudies related to the coronavirus disease 2019 (COVID-19) were frequently published as pre-prints prior to undergoing peer-review. However, several publications were later retracted due to ethical concerns or study misconduct. Although these studies have been retracted, the availability of their corresponding pre-prints has never been formally investigated, and may result in the spread of misinformation if they are being used to inform decision-making. MethodsOur objective was to conduct a systematic survey of retracted COVID-19 publications listed on the Retraction Watch database as of August 15th, 2021. We assessed the availability of corresponding pre-prints for retracted publications, and documented the number of citations and online views. ResultsOur study included 140 retracted COVID-19 publications, and we could not retrieve corresponding pre-prints for 132 retracted publications in our study (94%). Although we were unable to find the majority of pre-prints, they had already been disseminated, with a maximal citation count of 593 and Altmetric score of 558,928. ConclusionWhile it is reassuring that most corresponding pre-prints could not be retrieved, our study highlights the need for online platforms and journals to employ quality assurance methods to prevent the spread of misinformation through citation of retracted papers.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association.

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

COVID-19 Pandemic and Public Health Ethics in Japan.

Public health ethics is a discipline dealing with ethical issues relating to public health. As a branch of medical ethics, it also deals with clinical and research ethics. The core issue of public health ethics is to balance the conflict between individual liberty and the public good. Because of the coronavirus disease 2019 (COVID-19) pandemic, deliberation based on public health ethics is required to reduce social disparities and increase community cohesion. This study presents three public health ethics challenges. The first is to introduce an egalitarian liberal approach to public health concerning social and economic issues experienced by vulnerable populations both domestically and globally. I then propose alternative and compensatory public health policies that serve the principles of justice. Second, public health ethics must ensure procedural justice in all public health policy decisions. For example, when deciding to implement public health policies, including restrictions on individual liberties, the decision making process must be open to the public. Third, citizens and students must be educated on public health ethics. The public must be provided with an open forum to deliberate on ethical issues related to public health as well as the appropriate training to do so.

Bibliometric analysis of COVID-19 publications shows the importance of telemedicine and equitable access to the internet during the pandemic and beyond.

Pandemics highlight the increasing role of information and communications technology for improving access to health care. This study aimed to present a bibliometric analysis of the concept of digital divide reported in the published articles concerning the coronavirus disease 2019 (COVID-19) pandemic. To conduct this bibliometric analysis of research topics and trends, we used VOSviewer software. We developed a search strategy to retrieve peer-reviewed publications related to 'digital divide in the COVID-19 era' from the Scopus database. In total, 241 publications on the topic of digital divide and COVID-19 were retrieved from Scopus database between 2020 and 2021. The analysis of keywords co-occurrence of research topics revealed four main clusters including: 'telemedicine', 'Internet access and Internet use', 'e-learning' and 'epidemiology'. Seven characteristic categories were examined in these research topics, including: sociodemographic, economic, social, cultural, personal, material and motivational. 'Telemedicine' and 'Internet access and Internet use' as the largest clusters are connected to topics addressing inequalities in online health care access. Thus, policymakers should develop or modify policies in more egalitarian Internet access for all community members not only during a pandemic like the COVID-19 but also at regular times.

Framing Effects on US Adults’ Reactions to COVID-19 Public Health Messages: Moderating Role of Source Trust

Increasing politicization of health guidance and fluctuating trust in public health institutions have challenged effective coronavirus disease 2019 (COVID-19) public health communication in the United States. Applying the extended parallel process model, this research reports findings from two online survey experiments conducted at different points in the pandemic regarding two advocated risk reduction behaviors. Analyses test US adults’ emotional and argument strength reactions to experimental tweets attributed to the Centers for Disease Control (CDC) and Prevention which vary with regards to advocated behavior (social distancing; vaccination), emotional appeal, wellbeing orientation (individual vs. collective), and content frame (health vs. economic outcomes). Trust in the CDC is treated as a potential moderator. Results of path analyses indicated that emotional appeal and content frame had little impact on emotional or cognitive responses to the social distancing tweets, though unvaccinated adults with low trust in the CDC experienced greater hope and fear responses to tweets emphasizing collective benefits of vaccination. Hope reactions in both studies predicted greater perceived response efficacy for the advocated behavior, particularly among those with low CDC trust, while message annoyance undermined efficacy among low trust participants. Particularly among adults with low trust in the CDC, fear reactions led to reduced efficacy. Perceived efficacy of vaccination predicted greater intention to receive a COVID-19 vaccine, controlling for prior intention. Messages which inspire hope with regards to risk reduction behaviors and include sound arguments may be more motivating than fear-appeal messages, particularly among individuals with low levels of trust in public health institutions.

The Impact of COVID-19 Public Health Measures on Detection of Other Respiratory Viruses in Children during the Winter of 2020–2021 in Hangzhou, China

Abstract Objective Acute respiratory tract infection (ARTI) is one of the main diseases in childhood. This study aimed to monitor the distribution of respiratory tract viruses in children with ARTI in the impact of coronavirus disease 2019 (COVID-19). Methods We conducted surveillance of 2019 novel coronavirus, human metapneumovirus, respiratory syncytial virus, human adenovirus, human parainfluenza virus 1–3, and influenza A and B virus by using quantitative real-time polymerase chain reaction. Results During the winter of 2020 to 2021, among the 1,442 throat swabs we collected, 937 (64.98%, 937/1,442) were positive for respiratory viruses. Respiratory syncytial virus was the most frequently detected respiratory virus (34.12%, 492/1,442) and 2019 novel coronavirus and influenza A and B virus were not detected in the study period. Coinfection was observed in 156 positive samples including 149 samples of double infection and 7 of triple infection. The positive rate of viral respiratory tract infection in infants less than 6 months was the highest (72.95%) in the study period. Conclusion There are some differences in the distribution of respiratory viruses in children after the outbreak of COVID-19 in Hangzhou, China.

Establishment of a Rapid Phone Consultation Service for COVID-19 Public Health Support in Nepal.

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic strained the already weak health system of Nepal, especially during the surge of the delta variant. A telephonic consultation service was rapidly established to provide free consultations to assist those in home isolation due to severe acute respiratory syndrome coronavirus 2 infection. In this study, we describe the process of establishing the hotline and share preliminary findings. During the peak of the delta wave in Nepal, the hotline was started by a local non-profit organization.MethodologyWe established the hotline with help of a private telecommunication company. The hotline was advertised on social media, radio, and newspapers. Healthcare workers were recruited and trained and the service was provided for free. Patient data were recorded and de-identified for analysis, monitoring, and evaluation.ResultsThe majority of the callers were from Kathmandu valley, which includes three districts, Kathmandu, Lalitpur, and Bhaktapur. Overall, 44% of the callers inquired about the clinical manifestations of COVID-19. On average, there were 75 calls each day between May 2021 and February 2022. The average call duration was three minutes and 42 seconds. Trained healthcare workers answered the calls for 15.5 hours a day.ConclusionsOur work established the feasibility of a rapid hotline service in response to the pandemic causing high strain on the health system. Lessons learned from this experience can be useful for future disasters in Nepal and other places with similar health system strains.

A bibliometric analysis of COVID-19 publications in neurology by using the visual mapping method.

BackgroundThe characteristic symptom of coronavirus disease 2019 (COVID-19) is respiratory distress, but neurological symptoms are the most frequent extra-pulmonary symptoms. This study aims to explore the current status and hot topics of neurology-related research on COVID-19 using bibliometric analysis.MethodsPublications regarding neurology and COVID-19 were retrieved from the Web of Science Core Collection (WoSCC) on March 28 2022. The Advanced search was conducted using “TS = (‘COVID 19’ or ‘Novel Coronavirus 2019’ or ‘Coronavirus disease 2019’ or ‘2019-nCOV’ or ‘SARS-CoV-2’ or ‘coronavirus-2’) and TS = (‘neurology’or ‘neurological’ or ‘nervous system’ or ‘neurodegenerative disease’ or ‘brain’ or ‘cerebra’ or ‘nerve’)”. Microsoft Excel 2010 and VOSviewer were used to characterize the largest contributors, including the authors, journals, institutions, and countries. The hot topics and knowledge network were analyzed by CiteSpace and VOSviewer.ResultsA total of 5,329 publications between 2020 and 2022 were retrieved. The United States, Italy, and the United Kingdom were three key contributors to this field. Harvard Medical School, the Tehran University of Medical Sciences, and the UCL Queen Square Institute of Neurology were the major institutions with the largest publications. Josef Finsterer from the University of São Paulo (Austria) was the most prolific author. Tom Solomon from the University of Liverpool (UK) was the most cited author. Neurological Sciences and Frontiers in Neurology were the first two most productive journals, while Journal of Neurology held the first in terms of total citations and citations per publication. Cerebrovascular diseases, neurodegenerative diseases, encephalitis and encephalopathy, neuroimmune complications, neurological presentation in children, long COVID and mental health, and telemedicine were the central topics regarding the neurology-related research on COVID-19.ConclusionNeurology-related research on COVID-19 has attracted considerable attention worldwide. Research topics shifted from “morality, autopsy, and telemedicine” in 2020 to various COVID-19-related neurological symptoms in 2021, such as “stroke,” “Alzheimer's disease,” “Parkinson's disease,” “Guillain–Barre syndrome,” “multiple sclerosis,” “seizures in children,” and “long COVID.” “Applications of telemedicine in neurology during COVID-19 pandemic,” “COVID-19-related neurological complications and mechanism,” and “long COVID” require further study.

Epidemiological Characteristics of COVID-19 and Effective Public Health Interventions in Shenzhen, China.

Objectives:This study aims to analyze and summarize the epidemic characteristics of coronavirus disease 2019 (COVID-19), and the public heath interventions in Shenzhen from 1 January 2022 to 4 April 2022, hoping to provide useful reference for resurgence.MethodsData were extracted from the website of Shenzhen Municipal Health Commission from 1 January 2022 to 4 April 2022. The number of new indigenous patients, imported patients, symptomatic and asymptomatic patients, age, gender, regional distribution, screening routes, and clinical subtype were analyzed. The public health interventions were summarized and described.ResultsThere have been 1,215 new indigenous cases and 1,447 imported cases in Shenzhen from 1 January 2022 to 4 April 2022. The age group of the indigenous cases range from 2 months to 92 years. The median age was 35.0. The male-to-female ratio was 1.13 (623:551). The number of symptomatic and asymptomatic patients were 930 (76.5%) and 285 (23.5%), respectively, without death. Shenzhen has experienced three outbreaks. Futian District has the large proportion of confirmed cases (55.8%), followed by Nanshan (13.5%), and Baoan District (13.5%). The indigenous confirmed cases were mainly screened from close contacts under quarantine observation (632 cases, 53.8%), key areas (304 cases, 25.9%), key crowds (93 cases, 7.9%), and communities (145, 12.4%). Among the imported cases outside the Chinses Mainland, China's Hong Kong had the largest number of confirmed cases (n = 1,368), followed by Singapore (n = 18), South Korea (n = 18), and Japan (n = 14). The Shenzhen government quickly implemented effective measures, including citywide screening, quarantine, tracking, classified management for different groups and the dividing epidemic-hit communities, villages into three regions (sealed area, controlled area, and prevention area), and expand the capacity of designated hospitals, etc., which effectively controlled the outbreaks. By 4 April 2022, no new local cases had been reported.ConclusionsThree novel COVID-19 outbreaks occurred in Shenzhen between 1 January to 4 April 2022, linked to importation from outside the Chinese Mainland and subsequently caused the local transmission. The measures of citywide testing–tracking–classified management by risk level have effectively controlled the epidemic and should be continued to prevent resurgence.

Spotlight on Early COVID-19 Research Productivity: A 1-Year Bibliometric Analysis.

Coronavirus disease 2019 (COVID-19), one of the most serious public health crises in over a century, has led to an unprecedented surge of publications across all areas of knowledge. This study assessed the early research productivity on COVID-19 in terms of vaccination, diagnosis, treatment, symptoms, risk factors, nutrition, and economy. The Scopus database was searched between January 1, 2020 and December 31, 2020 to initially examine the research productivity on COVID-19, as measured by total publications by the 20 highest-ranked countries according to gross domestic product. The literature search was then refined, and research productivity was assessed across seven major research domains related to COVID-19: vaccination, diagnosis, treatment, symptoms, risk factors, nutrition, and economy. The initial literature search yielded 53,348 publications. Among these, 27,801 publications involved authorship from a single country and 22,119 publications involved authorship from multiple countries. Overall, the United States was the most productive country (n = 13,491), with one and a half times or more publications than any other country, on COVID-19 and the selected domains related to it. However, following adjustment for population size, gross domestic product, and expenditure for research and development, countries of emerging economies such as India along countries of lower population density such as Switzerland, Indonesia, and Turkey exhibited higher research productivity. The surge of COVID-19 publications in such a short period of time underlines the capacity of the scientific community to respond against a global health emergency; however where future research priorities and resource distribution should be placed on the respective thematic fields at an international level, warrants further investigation.

COVID-19 Literature Published in Emergency Medicine Journals in 2020.

IntroductionCoronavirus disease 2019 (COVID-19)-related articles published in emergency medicine (EM) journals provide insight into the responses of EM researchers and journal editors globally to a newly emerging infectious disease. We studied trends in the number, types, and national origins of COVID-19 literature published in EM journals to investigate knowledge transmission via scientific publication during the pandemic.MethodsThis was a retrospective observational study. The EM journal list was adopted from the 2019 Journal Citation Reports. We retrieved data from the SCOPUS database, limited to publication year 2020, and identified COVID-19 publications when the title, abstract, or keywords included “COVID” or “SARS.” The outcome measurements were as follows: 1) monthly COVID-19 publication numbers in EM journals; 2) the percentage of COVID-19 published literature in terms of total journal publications; 3) the countries, affiliations, and authors of COVID-19-related publications; 4) the differences in the proportions of “Articles” and “Letters” between COVID-19 and non-COVID-19 publications; and 5) the total, average, and maximum number of times cited for different types of COVID-19-related scientific literature.ResultsWe retrieved a total of 7,457 published papers from 31 EM journals. There were 765 (10.26%) COVID-19-related publications in 27 journals contributed by 67 countries; the first authors were from 49 countries. The monthly COVID-19 publication numbers in the categories of “Letters” and “Articles” were nearly equal before July 2020. The yearly proportions of COVID-19-focused articles and letters were 48.8% and 29.9%, respectively, while non-COVID-19 proportions were 72.1% and 9.8%, respectively. The chi-squared statistic of the differences between the numbers of articles and letters in COVID-19 and non-COVID-19 published research was significant (P < .001).ConclusionAn analysis of COVID-19 publications in EM journals indicated that, in the early stage of a newly emerging infectious disease, the number of letters and articles increased simultaneously. The proportion of COVID-19-focused letters was higher than those published on other topics. The “Article” and “Review” category of COVID-19 research was cited more times than that of “Letters.”

Impact of the COVID-19 Pandemic and Public Restrictions on Outcomes After Catheter Ablation of Atrial Fibrillation.

BackgroundHere we aimed to analyze changes in the outcomes of atrial fibrillation (AF) catheter ablation (AFCA) during the coronavirus disease 2019 (COVID-19) pandemic and examine the relationship between rhythm outcomes and the stringency of government social distancing measures.MethodsWe included 453 patients who underwent de novo AFCA between May 2018 and October 2019 (pre-COVID-19 era) and 601 between November 2019 and April 2021 (COVID-19 era). The primary outcome was late recurrence, defined as any episode of AF or atrial tachycardia documented after a 3-month blanking period. A multivariable Cox regression analysis was performed to estimate the relative hazards of AF recurrence in the two eras.ResultsIn the study population (24.3% women; median age, 60 years), 660 (62.6%) patients had paroxysmal AF. Among those with paroxysmal AF, the late recurrence rate was significantly lower in the COVID-19 era than in the pre-COVID-19 era [9.4% vs. 17.0%, respectively, log-rank P = 0.004; adjusted hazard ratio (HR) 0.56, 95% confidence interval (CI) 0.35–0.90] during a median follow-up of 11 months. In patients with persistent AF, the late recurrence rate did not significantly differ between the pre-COVID-19 and COVID-19 era groups (18.9% vs. 21.5%, respectively; log-rank P = 0.523; adjusted HR 0.84, 95% CI 0.47–1.53) during the median follow-up of 11 months.ConclusionA decrease in AF recurrence after catheter ablation was observed in patients with paroxysmal AF during the COVID-19 outbreak, whereas no change was observed in those with persistent AF.

Global analysis of the COVID-19 research landscape and scientific impact

ObjectivesTo consider a 1-year time window of the coronavirus disease 2019 (COVID-19) crisis to integrate qualitative and quantitative data and provide an in-depth analysis of all COVID-19 publications from geographical, epidemiological and chronological perspectives. MethodsPublications on COVID-19 from December 1, 2019, to December 31, 2020 without document type limitations were extracted from the Web of Science database. Microsoft Excel 2016, GraphPad Prism 9, VOSviewer 1.6.15 and IBM SPSS 21.0 were used to analyze the global epidemiological publication landscape and its correlations, research hotspots around the world and the top 5 countries in terms of publications. ResultsA total of 51,317 documents were analyzed in the present study. The publication trend could be divided into an increasing output stage and an explosive output stage. There were positive correlations between monthly publications, confirmed cases and deaths. Research hotspots from the whole year, from individual quarters, and from the top 5 countries with the most publications were further identified. ConclusionsThe correlation analysis of publications indicated that confirmed cases and deaths were forces driving the scientific output, reflecting the growing trend to some extent. Moreover, the hotspot analysis provided valuable information for scientists, funders, policy and decision-makers to determine what areas should be their focus when faced with public health emergencies in the future.

Impact of COVID-19 Pandemic on Biomedical Publications and Their Citation Frequency.

BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has resulted in enormous related publications. However, the citation frequency of these documents and their influence on the journal impact factor (JIF) are not well examined. We aimed to evaluate the impact of COVID-19 on biomedical research publications and their citation frequency.MethodsWe searched publications on biomedical research in the Web of Science using the search terms “COVID-19,” “SARS-Cov-2,” “2019 corona*,” “corona virus disease 2019,” “coronavirus disease 2019,” “novel coronavirus infection” and “2019-ncov.” The top 200 journals were defined as those with a higher number of COVID-19 publications than other journals in 2020. The COVID-19 impact ratio was calculated as the ratio of the average number of citations per item in 2021 to the JIF for 2020.ResultsThe average number of citations for the top 200 journals in 2021, per item published in 2020, was 25.7 (range, 0–270). The average COVID-19 impact ratio was 3.84 (range, 0.26–16.58) for 197 journals that recorded the JIF for 2020. The average JIF ratio for the top 197 journals including the JIFs for 2020 and 2021 was 1.77 (range, 0.68–8.89). The COVID-19 impact ratio significantly correlated with the JIF ratio (r = 0.403, P = 0.010). Twenty-five Korean journals with a COVID-19 impact ratio > 1.5 demonstrated a higher JIF ratio (1.31 ± 0.39 vs. 1.01 ± 0.18, P < 0.001) than 33 Korean journals with a lower COVID-19 impact ratio.ConclusionCOVID-19 pandemic infection has significantly impacted the trends in biomedical research and the citation of related publications.

COVID-19 Social Science and Public Engagement Action Research in Vietnam, Indonesia and Nepal (SPEAR): Protocol for a mixed methods study exploring the experiences and impacts of COVID-19 for healthcare workers and vulnerable communities

Background: When the novel coronavirus – SARS-CoV-2 – started to spread globally, there was a call for social and behavioral scientists to conduct research to explore the wider socio-cultural contexts of coronavirus disease 2019 (COVID-19), to understand vulnerabilities, as well as to increase engagement within communities to facilitate adoption of public health measures. In this manuscript, we describe the protocol for a study conducted in Indonesia, Nepal, and Vietnam. In the study, we explore how the COVID-19 pandemic is affecting individuals and their communities. We focus on the wider health and economic impacts of COVID-19, in particular emerging and increased burden on mental health, as well as new or deepened vulnerabilities in the communities. The introduction of vaccines has added another layer of complexity and highlights differences in acceptance and inequalities around access. Methods: We use mixed methods, combining survey methods and social media surveillance to gain a picture of the general situation within each country, with in-depth qualitative methods to gain a deeper understanding of issues, coupled with a synergistic engagement component. We also include an exploration of the role of social media in revealing or driving perceptions of the pandemic more broadly. Participants include health workers and members of communities from 13 sites across the three countries. Data collection is spread across two phases. Phase 1 is concerned with exploring lived experiences, impacts on working lives and livelihoods, mental health and coping strategies. Phase 2 is concerned with acceptance of COVID-19 vaccines, factors that increase and reduce acceptance, and factors that influence access. Conclusions: We will disseminate findings in multiple ways including short reports and policy briefs, articles in peer-reviewed journals, and digital diaries will be edited into short films and uploaded onto social media sites.

Lower Intent to Comply with COVID-19 Public Health Recommendations Correlates to Higher Disease Burden in Following 30 Days.

We sought to determine whether self-reported intent to comply with public health recommendations correlates with future coronavirus disease 2019 (COVID-19) disease burden. A cross-sectional, online survey of US adults, recruited by snowball sampling, from April 9 to July 12, 2020. Primary measurements were participant survey responses about their intent to comply with public health recommendations. Each participant's intent to comply was compared with his or her local COVID-19 case trajectory, measured as the 7-day rolling median percentage change in COVID-19 confirmed cases within participants' 3-digit ZIP code area, using public county-level data, 30 days after participants completed the survey. After applying raking techniques, the 10,650-participant sample was representative of US adults with respect to age, sex, race, and ethnicity. Intent to comply varied significantly by state and sex. Lower reported intent to comply was associated with higher COVID-19 case increases during the following 30 days. For every 3% increase in intent to comply with public health recommendations, which could be achieved by improving average compliance by a single point for a single item, we estimate a 9% reduction in new COVID-19 cases during the subsequent 30 days. Self-reported intent to comply with public health recommendations may be used to predict COVID-19 disease burden. Measuring compliance intention offers an inexpensive, readily available method of predicting disease burden that can also identify populations most in need of public health education aimed at behavior change.

Synergistic networks of COVID-19’s top papers

PurposeSynergy indicators and social network analysis (SNA), as practical tools, provide the possibility of explaining the pattern of scientific collaboration and visualization of network relations. Recognition of scientific capacities is the basis of synergy. The present study aims to measure and discover the synergistic networks of COVID-19’s top papers at the level of co-authorship, countries, journals, bibliographic couples and titles.Design/methodology/approachThe synergy indicator, co-authorship co-citation network analysis methods were applied. The research population comprises COVID-19’s top papers indexed in Essential Science Indicator and Web of Science Core Collection 2020 and 2021. Excel 2016, UCINET 6.528.0.0 2017, NetDraw, Ravar Matrix, VOSviewer version 1.6.14 and Python 3.9.5 were applied to analyze the data and visualize the networks.FindingsThe findings indicate that considering the three possible possibilities for authors, countries and journals, more redundancy and information are created and potential for further cooperation is observed. The synergy of scientific collaboration has revealed that “Wang, Y,” “USA” and “Science of the Total Environment” have the most effective capabilities and results. “Guan (2020b)” and “Zhou (2020)” are bibliographic couplings that have received the most citations. The keywords “CORONAVIRUS DISEASE 2019 (COVID-19)” were the most frequent in article titles.Originality/valueIn a circumstance that the world is suffering from a COVID-19 pandemic and all scientists are conducting various researches to discover vaccines, medicines and new treatment methods, scientometric studies, and analysis of social networks of COVID-19 publications to be able to specify the synergy rate and the scientific collaboration networks, are not only innovative and original but also of great importance and priority; SNA tools along with the synergy indicator is capable of visualizing the complicated and multifaceted pattern of scientific collaboration in COVID-19. As a result, analyses can help identify existing capacities and define a new space for using COVID-19 researchers’ capabilities.

Decline of Influenza and Respiratory Viruses With COVID-19 Public Health Measures: Alberta, Canada

ObjectiveTo determine the incidence of influenza and noninfluenza respiratory viruses (NIRVs) pre-/post-implementation of public health measures aimed to decrease coronavirus disease 2019 (COVID-19) transmission using population-based surveillance data. We hypothesized that such measures could reduce the burden of respiratory viruses (RVs) transmitting via the same routes. Patients and MethodsAn interrupted time-series analysis of RV surveillance data in Alberta, Canada, from May 2017 to July 2020 was conducted. The burden of influenza and NIRVs before and after intervention initiation at week 11 was compared. The analysis was adjusted for seasonality, overdispersion, and autocorrelation. ResultsDuring the study period, an average of 708 and 4056 weekly respiratory multiplex molecular panels were conducted pre-/post-intervention, respectively. We found significant reductions in test positivity rates in the postintervention period for influenza (-94.3%; 95% CI, -93.8 to 97.4%; P<.001) and all NIRVs (-76.5%; 95% CI, -77.3 to -75.8%; P<.001) in the crude model, and -86.2% (95% CI, -91.5 to -77.4%: P<.001) and -75% (95% CI, -79.7 to -69.3%; P<.001), respectively, in the adjusted models. Subanalyses for individual viruses showed significant decreases in respiratory syncytial virus, human metapneumovirus, enterovirus/rhinovirus, and parainfluenza. For non–severe acute respiratory coronavirus 2 human coronaviruses, the decline was not statistically significant after adjustment (-22.3%; 95% CI, -49.3 to +19%, P=.246). ConclusionThe implementation of COVID-19 public health measures likely resulted in reduced transmission of common RVs. Although drastic lockdowns are unlikely to be required given widespread COVID-19 vaccination, targeted implementation of such measures can lower RV disease burden. Studies to evaluate relative contributions of individual interventions are warranted.