Early Stages Of Pandemic Research Articles

Anxiety and associated factors among Ethiopian health professionals at early stage of COVID-19 pandemic in Ethiopia.

In late 2019, a new coronavirus disease known as COVID-19 (novel coronavirus disease 2019) was identified. As there is no any drug to treat this pandemic, the healthcare professionals are disproportionately at higher risk. The mental health outcome is expected to be high. Anxiety is expected to have a significant impact on health professionals, especially among those who work without adequate resources for self-protection. The objectives of this research was to assess self-reported anxiety symptoms and associated factors among Ethiopian healthcare professionals in the early stages of the pandemic. We have conducted an online cross-sectional study to collect information from healthcare professionals in Ethiopia during the early stage of the outbreak from April 7, 2020 to May 19, 2020. GAD-7 was used for measurement of anxiety. We have used a cut of point of 10 and above to report anxiety symptoms. We have used Google Forms for online data collection and SPSS-22 for analysis. To determine associated factors for anxiety, a binary logistic regression model was used. Variables with p-value < 0.2 during the bivariable binary logistic regression were exported for further analysis in the multivariable binary logistic regression. Finally, variables with p-value <0.05 were considered as significantly associated with the outcomes. Three hundred and eighty-eight healthcare professionals filled the online questionnaire; Majority (71.1%) were males. Significant number of respondents (78.9%) reported lack of adequate personal protective equipment (PPE) at the work place. The prevalence of anxiety was 26.8%. Being female (AOR: 1.88; 95% C.I:1.11, 3.19), visiting/treating 30-150 patients per day (AOR: 3.44; 95% C.I:1.51, 7.84), those employed at private healthcare institutions (AOR: 2.40; 95% C.I:1.17, 4.90), who do not believe that COVID-19 is preventable (AOR: 2.04; 95% C.I:1.04, 4.03) and those who reported lack of PPE (AOR: 1.98; 95% C.I:1.04, 3.79) were more likely to be anxious. The anxiety prevalence among healthcare professionals in Ethiopia during early stage of COVID-19 pandemic was high. This study shows that lack of preventive equipment, being female, contact with many patients, low self-efficacy and working in private health facilities were risk factors for anxiety. Anxiety prevention among health professionals during COVID-19 pandemic requires a holistic approach including provision of sufficient PPE, improving self-efficacy and addressing problems both at public and private institutions and focusing more on female health professionals.

Symptom and Age Homophilies in SARS-CoV-2 Transmission Networks during the Early Phase of the Pandemic in Japan.

Simple SummaryIn the early stages of the COVID-19 pandemic, Japan conducted contact tracing extensively and published detailed records of thousands of anonymized patients. We leveraged the registry data to perform an exponential random graph model (ERGM) network analysis to examine demographic and symptomological homophilies of SARS-CoV-2 transmission networks in Hokkaido and Kanagawa. Our analysis showed: (1) Age, symptom, and asymptomatic status homophilies in both prefectures; (2) Asymptomatic infections increased as the virus was passed from primary cases to secondary and tertiary ones; (3) Transmission was mostly seen at the primary and secondary levels, with none occurring beyond quaternary; (4) Transmission occurred primarily in healthcare settings, as well as in families.Kanagawa and Hokkaido were affected by COVID-19 in the early stage of the pandemic. Japan’s initial response included contact tracing and PCR analysis on anyone who was suspected of having been exposed to SARS-CoV-2. In this retrospective study, we analyzed publicly available COVID-19 registry data from Kanagawa and Hokkaido (n = 4392). Exponential random graph model (ERGM) network analysis was performed to examine demographic and symptomological homophilies. Age, symptomatic, and asymptomatic status homophilies were seen in both prefectures. Symptom homophilies suggest that nuanced genetic differences in the virus may affect its epithelial cell type range and can result in the diversity of symptoms seen in individuals infected by SARS-CoV-2. Environmental variables such as temperature and humidity may also play a role in the overall pathogenesis of the virus. A higher level of asymptomatic transmission was observed in Kanagawa. Moreover, patients who contracted the virus through secondary or tertiary contacts were shown to be asymptomatic more frequently than those who contracted it from primary cases. Additionally, most of the transmissions stopped at the primary and secondary levels. As expected, significant viral transmission was seen in healthcare settings.

Multiple forms of mass anxiety in coronavirus disease-2019 pandemic

BackgroundHeightened public anxiety was observed at the early stage of the COVID-19 pandemic. Our study enriches scholarly understanding of this mass response by investigating both generic and pandemic-specific anxiety that explain preventive health behavior. MethodsIn our two-phase, mixed-methods study, pandemic-specific anxiety items elicited during the qualitative phase from March 2–8, 2020 were then tested in the quantitative phase from March 16–22, 2020. Eligible participants were U.S. or U.K. residents aged 18–65. ResultsOf the 1,400 participants, 52% met the criteria for moderate to severe anxiety. In addition to anxiety over possible personal COVID-19 infection, participants were also anxious about others’ health, others’ reactions (e.g., panic-buying, discrimination), societal problems (e.g., economic slowdown, healthcare system breakdown), and personal finances. The positive association between generic anxiety and hygiene practice frequency was explained by two interpersonal-oriented forms of pandemic-specific anxiety: anxiety over others’ health (b = 0•0040, 95% CI: 0•0031–0•0050) and others’ reactions (0•0031, 0•0021–0•0042). LimitationsThe study was conducted with participants from developed countries at an early stage of the pandemic, and the results were not necessarily generalizable to developing countries or other stages of the pandemic. Also, hygiene practices was the sole behavior of interest, and the findings may differ for other behaviors. ConclusionsThe new findings indicate the importance of adopting a nuanced approach that unveils the multifaceted nature of anxiety using a mixed-methods design. Individuals from COVID-19-affected regions experience pandemic-specific anxiety due to concerns related to not only personal but also interpersonal-oriented issues.

A Short-Term Prediction Model at the Early Stage of the COVID-19 Pandemic Based on Multisource Urban Data.

The ongoing coronavirus disease 2019 (COVID-19) pandemic spread throughout China and worldwide since it was reported in Wuhan city, China in December 2019. 4 589 526 confirmed cases have been caused by the pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), by May 18, 2020. At the early stage of the pandemic, the large-scale mobility of humans accelerated the spread of the pandemic. Rapidly and accurately tracking the population inflow from Wuhan and other cities in Hubei province is especially critical to assess the potential for sustained pandemic transmission in new areas. In this study, we first analyze the impact of related multisource urban data (such as local temperature, relative humidity, air quality, and inflow rate from Hubei province) on daily new confirmed cases at the early stage of the local pandemic transmission. The results show that the early trend of COVID-19 can be explained well by human mobility from Hubei province around the Chinese Lunar New Year. Different from the commonly-used pandemic models based on transmission dynamics, we propose a simple but effective short-term prediction model for COVID-19 cases, considering the human mobility from Hubei province to the target cities. The performance of our proposed model is validated by several major cities in Guangdong province. For cities like Shenzhen and Guangzhou with frequent population flow per day, the values of n}{}R^{2}n of daily prediction achieve 0.988 and 0.985. The proposed model has provided a reference for decision support of pandemic prevention and control in Shenzhen.

The Immediate Effect of COVID-19 Policies on Social-Distancing Behavior in the United States.

ObjectiveAlthough anecdotal evidence indicates the effectiveness of coronavirus disease 2019 (COVID-19) social-distancing policies, their effectiveness in relation to what is driven by public awareness and voluntary actions needs to be determined. We evaluated the effectiveness of the 6 most common social-distancing policies in the United States (statewide stay-at-home orders, limited stay-at-home orders, nonessential business closures, bans on large gatherings, school closure mandates, and limits on restaurants and bars) during the early stage of the pandemic.MethodsWe applied difference-in-differences and event-study methodologies to evaluate the effect of the 6 social-distancing policies on Google-released aggregated, anonymized daily location data on movement trends over time by state for all 50 states and the District of Columbia in 6 location categories: retail and recreation, grocery stores and pharmacies, parks, transit stations, workplaces, and residences. We compared the outcome of interest in states that adopted COVID-19–related policies with states that did not adopt such policies, before and after these policies took effect during February 15–April 25, 2020.ResultsStatewide stay-at-home orders had the strongest effect on reducing out-of-home mobility and increased the time people spent at home by an estimated 2.5 percentage points (15.2%) from before to after policies took effect. Limits on restaurants and bars ranked second and resulted in an increase in presence at home by an estimated 1.4 percentage points (8.5%). The other 4 policies did not significantly reduce mobility.ConclusionStatewide stay-at-home orders and limits on bars and restaurants were most closely linked to reduced mobility in the early stages of the COVID-19 pandemic, whereas the potential benefits of other such policies may have already been reaped from voluntary social distancing. Further research is needed to understand how the effect of social-distancing policies changes as voluntary social distancing wanes during later stages of a pandemic.

Individual differences and changes in subjective wellbeing during the early stages of the COVID-19 pandemic.

The COVID-19 pandemic has considerably impacted many people's lives. This study examined changes in subjective wellbeing between December 2019 and May 2020 and how stress appraisals and coping strategies relate to individual differences and changes in subjective wellbeing during the early stages of the pandemic. Data were collected at 4 time points from 979 individuals in Germany. Results showed that, on average, life satisfaction, positive affect, and negative affect did not change significantly between December 2019 and March 2020 but decreased between March and May 2020. Across the latter timespan, individual differences in life satisfaction were positively related to controllability appraisals, active coping, and positive reframing, and negatively related to threat and centrality appraisals and planning. Positive affect was positively related to challenge and controllable-by-self appraisals, active coping, using emotional support, and religion, and negatively related to threat appraisal and humor. Negative affect was positively related to threat and centrality appraisals, denial, substance use, and self-blame, and negatively related to controllability appraisals and emotional support. Contrary to expectations, the effects of stress appraisals and coping strategies on changes in subjective wellbeing were small and mostly nonsignificant. These findings imply that the COVID-19 pandemic represents not only a major medical and economic crisis, but also has a psychological dimension, as it can be associated with declines in key facets of people's subjective wellbeing. Psychological practitioners should address potential declines in subjective wellbeing with their clients and attempt to enhance clients' general capability to use functional stress appraisals and effective coping strategies. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Social Capital-Accrual, Escape-From-Self, and Time-Displacement Effects of Internet Use During the COVID-19 Stay-at-Home Period: Prospective, Quantitative Survey Study.

BackgroundCOVID-19 has spread like wildfire across the globe, prompting many governments to impose unprecedented stay-at-home orders to limit its transmission. During an extended stay-at-home period, individuals may engage in more online leisure activities. Internet use is a double-edged sword that may have both desirable and undesirable effects on psychological well-being, and this study sought to disentangle adaptive from maladaptive internet use amidst this unusual health crisis.ObjectiveThe objectives of this study were to assess the prevalence of probable depression during the COVID-19 stay-at-home period and to test three hypothesized risk reduction or risk elevation mechanisms, namely social capital–accrual, escape-from-self, and time-displacement effects.MethodsThis study took place from March to May 2020 at the early stage of the pandemic. The study adopted a prospective design, with an online survey administered to 573 UK and 474 US adult residents at two assessment points 2 months apart.ResultsThe prevalence of moderate to severe depression was 36% (bootstrap bias-corrected and accelerated [BCa] 95% CI 33%-39%) at Time 1 (ie, initial time point) and 27% (bootstrap BCa 95% CI 25%-30%) at Time 2 (ie, follow-up time point). The results supported the social capital–accrual hypothesis by showing that the approach coping style was inversely associated with Time 2 depression through its positive associations with both social networking and perceived family support. The results also supported the escape-from-self hypothesis by revealing that the avoidant coping style was positively associated with Time 2 depression through its positive associations with both gaming and cyberbullying victimization, but the serial mediation model was no longer significant after Time 1 depression and some demographic risk factors had been controlled for. Finally, the results supported the time-displacement hypothesis by showing that gaming was positively associated with Time 2 depression through its inverse associations with social networking and perceived family support.ConclusionsDuring the extended stay-at-home period in the early stages of the COVID-19 pandemic, the prevalence of probable depression during the 2-month study period was high among the UK and US residents. Individuals with distinct coping styles may engage in different types of online leisure activities and perceive varying levels of social support, which are associated with risks of probable depression.

How do social media and individual behaviors affect epidemic transmission and control?

In the outbreak of infectious diseases such as COVID-19, social media channels are important tools for the public to obtain information and form their opinions on infection risk, which can affect their disease prevention behaviors and the consequent disease transmission processes. However, there has been a lack of theoretical investigation into how social media and human behaviors jointly affect the spread of infectious diseases. In this study, we develop an agent-based modeling framework that couples (1) a general opinion dynamics model that describes how individuals form their opinions on epidemic risk with various information sources, (2) a behavioral adoption model that simulates the adoption of disease prevention behaviors, and (3) an epidemiological SEIR model that simulates the spread of diseases in a host population. Through simulating the spread of a coronavirus-like disease in a hypothetical residential area, the modeling results show that social media can make a community more sensitive to external drivers. Social media can increase the public's awareness of infection risk, which is beneficial for epidemic containment, when high-quality epidemic information exists at the early stage of pandemics. However, fabricated and fake news on social media, after a “latent period”, can lead to a significant increase in infection rate. The modeling results provide scientific evidence for the intricate interplay between social media and human behaviors in epidemic dynamics and control, and highlight the importance of public education to promote behavioral changes and the need to correct misinformation and fake news on social media in a timely manner.

Changes in health behaviours during early COVID-19 and socio-demographic disparities: a cross-sectional analysis.

ObjectivesThe COVID-19 pandemic has profoundly disrupted daily life in Canada. This study assesses changes in health behaviours during the early stages of the pandemic and examines socio-demographic disparities associated with these changes.MethodsWe analyze data on adults age 25 and older (N = 4383) from the public-use Canadian Perspectives Survey Series 1: Impacts of COVID-19 (CPSS-COVID). Multinomial regression models assess the association between demographic and socio-economic characteristics with increases or decreases in six health behaviours: alcohol, tobacco, and cannabis use, junk food consumption, and TV and internet screen time.ResultsWhile findings varied across the six behaviours, overall, there was an increase in negative health behaviours: 14% of Canadian adults reported increasing their alcohol use (95% CI = 0.12, 0.15), 25% increased their junk food consumption (95% CI = 0.23, 0.27), and over 60% increased their screen time (62%, 95% CI = 0.60, 0.65 for TV and 66%, 95% CI = 0.63, 0.68 for internet). Younger and Canada-born adults were more likely to increase negative health behaviours than older and immigrant Canadians. Adults who reported financial impact of COVID-19 were more likely to increase all negative health behaviours (e.g., for increased junk food consumption, the relative risk ratio (RRR) = 1.81, 95% CI = 1.49, 2.20 relative to group reporting no impact).ConclusionOur study documents the overall deterioration of health behaviours during the early stages of the COVID-19 pandemic. To minimize long-term harm to the Canadian population’s health, the results highlight the need to tailor interventions, especially for younger Canadians, and the importance of mitigating financial impacts, which are linked to negative changes in health behaviours.Supplementary InformationThe online version of this article (10.17269/s41997-020-00434-y) contains supplementary material, which is available to authorized users.

Managing Remote Projects Effectively with an Action Dashboard

During the early stages of the COVID-19 pandemic, the College’s library, learning center, & archives and the office of institutional research & training (OIRT), along with all departments of our college, shifted to working from home (WFH) during the COVID-19 pandemic. As we continue to work from home, in this column we share with you a follow-up to our previous column, specifically what worked and didn’t work in regards to the techniques and tools we continue to use to manage our staff remotely with communication tools (Slack, Zoom Calls, FlipGrid) and a project management tool (Notion) during the early stages of the pandemic. We added a new technique to the mix since our last publication—an Action Dashboard in Notion, and describe how we built it, and our plans for next steps using Notion as a comprehensive project management tool moving forward.

Emergency Department Visits for Serious Diagnoses During the COVID‐19 Pandemic

The coronavirus disease 2019 (COVID-19) pandemic has significantly affected health care utilization in the United States. Although reductions in routine outpatient visits and elective procedures were intentional in preparation for increases in COVID-19-related volume,1 National Syndromic Surveillance Program data indicate that weekly emergency department (ED) visits decreased 42% during the early stages of the pandemic.2 This reduction may have been driven by a public fear of seeking care,3,4 ultimately delaying interventions for time-sensitive serious conditions.

Hazards of the Cytokine Storm and Cytokine-Targeted Therapy in Patients With COVID-19: Review.

BackgroundSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has challenged medicine and health care on a global scale. Its impact and frightening mortality rate are in large part attributable to the fact that there is a lack of available treatments. It has been shown that in patients who are severely ill, SARS-CoV-2 can lead to an inflammatory response known as cytokine storm, which involves activation and release of inflammatory cytokines in a positive feedback loop of pathogen-triggered inflammation. Currently, cytokine storm is one of the leading causes of morbidity and mortality in SARS-CoV-2, but there is no proven treatment to combat this systemic response.ObjectiveThe aim of this paper is to study the cytokine storm response in SARS-CoV-2 and to explore the early treatment options for patients who are critically ill with the coronavirus disease (COVID-19) in the early stages of the pandemic by reviewing the literature.MethodsA literature review was performed from December 1, 2000, to April 4, 2020, to explore and compare therapies that target cytokine storm among SARS-CoV-2 and prior coronavirus cases.ResultsA total of 38 eligible studies including 24 systematic reviews, 5 meta-analyses, 5 experimental model studies, 7 cohort studies, and 4 case reports matched the criteria.ConclusionsThe severity of the cytokine storm, measured by elevated levels of interleukin-1B, interferon-γ, interferon-inducible protein 10, and monocyte chemoattractant protein 1, was associated with COVID-19 disease severity. Many treatment options with different targets have been proposed during the early stages of the COVID-19 pandemic, ranging from targeting the virus itself to managing the systemic inflammation caused by the virus and the excessive cytokine response. Among the different agents to manage cytokine storm in patients with COVID-19, there is developing support for convalescent plasma therapy particularly for patients who are critically ill or mechanically ventilated and resistant to antivirals and supportive care. Treatment options that were proposed in the beginning phases of the pandemic were multidimensional, and further research is needed to develop a more established treatment guideline.

Public perspectives on protective measures during the COVID-19 pandemic in the Netherlands, Germany and Italy: A survey study.

BackgroundThe extent to which people implement government-issued protective measures is critical in preventing further spread of coronavirus disease 2019 (COVID-19) caused by coronavirus SARS-CoV-2. Our study aimed to describe the public belief in the effectiveness of protective measures, the reported implementation of these measures, and to identify communication channels used to acquire information on COVID-19 in European countries during the early stage of the pandemic.Methods and findingsAn online survey available in multiple languages was disseminated starting on March 19th, 2020. After five days, we computed descriptive statistics for countries with more than 500 respondents. Each day, we assessed enacted community containment measures by stage of stringency (I-IV). In total, 9,796 adults responded, of whom 8,611 resided in the Netherlands (stage III), 604 in Germany (stage III), and 581 in Italy (stage IV). To explore possible dynamics as containment strategies intensified, we also included 1,365 responses submitted during the following week. Participants indicated support for governmental measures related to avoiding social gatherings, selective closure of public places, and hand hygiene and respiratory measures (range for all measures: 95.0%-99.7%). Respondents from the Netherlands less frequently considered a complete social lockdown effective (59.2%), compared to respondents in Germany (76.6%) or Italy (87.2%). Italian residents applied enforced social distancing measures more frequently (range: 90.2%-99.3%, German and Dutch residents: 67.5%-97.0%) and self-initiated hygienic and social distancing behaviors (range: 36.3%-96.6%, German and Dutch residents: 28.3%-95.7%). Respondents reported being sufficiently informed about the outbreak and behaviors to avoid infection (range: 90.2%-91.1%). Information channels most commonly reported included television newspapers, official health websites, and social media. One week later, we observed no major differences in submitted responses.ConclusionsDuring the early stage of the COVID-19 pandemic, belief in the effectiveness of protective measures among survey respondents from three European countries was high and participants reported feeling sufficiently informed. In March 2020, implementation of measures differed between countries and were highest among respondents from Italy, who were subjected to the most stringent lockdown measures and greatest COVID-19 burden in Europe during this period.

Google searches for suicide and suicide risk factors in the early stages of the COVID-19 pandemic.

A novel coronavirus (SARS-CoV-2), which causes the COVID-19 respiratory illness, emerged in December of 2019 and has since spread globally. The dramatic lifestyle changes and stressors associated with this pandemic pose a threat to mental health and have the potential to exacerbate risk factors for suicide. We used autoregressive integrated moving average (ARIMA) models to assess Google Trends data representing searches in the United States for 18 terms related to suicide and known suicide risk factors following the emergence of COVID-19. Although the relative proportion of Google searches for suicide-related queries was lower than predicted during the early pandemic period, searches for the following queries representative of financial difficulty were dramatically elevated: "I lost my job" (226%; 95%CI, 120%-333%), "laid off" (1164%; 95%CI, 395%-1932%), "unemployment" (1238%; 95%CI, 560%-1915%), and "furlough" (5717%; 95%CI, 2769%-8665%). Searches for the Disaster Distress Helpline, which was promoted as a source of help for those impacted by COVID-19, were also remarkably elevated (3021%; 95%CI, 873%-5169%). Google searches for other queries representative of help-seeking and general mental health concerns were moderately elevated. It appears that some indices of suicidality have fallen in the United States in this early stage of the pandemic, but that COVID-19 may have caused an increase in suicide risk factors that could yield long-term increases in suicidality and suicide rates.

Pan-Family Assays for Rapid Viral Screening: Reducing Delays in Public Health Responses During Pandemics.

BackgroundCOVID-19 has highlighted deficiencies in the testing capacity of many developed countries during the early stages of pandemics. Here we describe a strategy utilizing pan-family viral assays to improve early accessibility of large-scale nucleic acid testing.MethodsCoronaviruses and SARS-CoV-2 were used as a case-study for assessing utility of pan-family viral assays during the early stages of a novel pandemic. Specificity of a pan-coronavirus (Pan-CoV) assay for a novel pathogen was assessed using the frequency of common human coronavirus (HCoV) species in key populations. A reported Pan-CoV assay was assessed to determine sensitivity to 60 reference coronaviruses, including SARS-CoV-2. The resilience of the primer target regions of this assay to mutation was assessed in 8893 high-quality SARS-CoV-2 genomes to predict ongoing utility during pandemic progression.ResultsDue to common HCoV species, a Pan-CoV assay would return false positives for as few as 1% of asymptomatic adults, but up to 30% of immunocompromised patients with respiratory disease. Half of reported Pan-CoV assays identify SARS-CoV-2 and with small adjustments can accommodate diverse variation observed in animal coronaviruses. The target region of one well established Pan-CoV assay is highly resistant to mutation compared to species-specific SARS-CoV-2 RT-PCR assays.ConclusionsDespite cross-reactivity with common pathogens, pan-family assays may greatly assist management of emerging pandemics through prioritization of high-resolution testing or isolation measures. Targeting highly conserved genomic regions make pan-family assays robust and resilient to mutation. A strategic stockpile of pan-family assays may improve containment of novel diseases prior to the availability of species-specific assays.

Data mining and analysis of scientific research data records on Covid-19 mortality, immunity, and vaccine development - In the first wave of the Covid-19 pandemic

Background and aimsCovid-19 is a global pandemic that requires a global and integrated response of all national medical and healthcare systems. Covid-19 exposed the need for timely response and data sharing on fast spreading global pandemics. In this study, we investigate the scientific research response from the early stages of the pandemic, and we review key findings on how the early warning systems developed in previous epidemics responded to contain the virus. MethodsWe conducted data mining of scientific literature records from the Web of Science Core Collection, using the topics Covid-19, mortality, immunity, and vaccine. The individual records are analysed in isolation, and the analysis is compared with records on all Covid-19 research topics combined. The data records are analysed with commutable statistical methods, including R Studio’s Bibliometrix package, and the Web of Science data mining tool. ResultsFrom historical analysis of scientific data records on viruses, pandemics and mortality, we identified that Chinese universities have not been leading on these topics historically. However, during the early stages of the Covid-19 pandemic, the Chinese universities are strongly dominating the research on these topics. Despite the current political and trade disputes, we found strong collaboration in Covid-19 research between the US and China. From the analysis on Covid-19 and immunity, we wanted to identify the relationship between different risk factors discussed in the news media. We identified a few clusters, containing references to exercise, inflammation, smoking, obesity and many additional factors. From the analysis on Covid-19 and vaccine, we discovered that although the USA is leading in volume of scientific research on Covid-19 vaccine, the leading 3 research institutions (Fudan, Melbourne, Oxford) are not based in the USA. Hence, it is difficult to predict which country would be first to produce a Covid-19 vaccine. ConclusionsWe analysed the conceptual structure maps with factorial analysis and multiple correspondence analysis (MCA), and identified multiple relationships between keywords, synonyms and concepts, related to Covid-19 mortality, immunity, and vaccine development. We present integrated and corelated knowledge from 276 records on Covid-19 and mortality, 71 records on Covid-19 and immunity, and 189 records on Covid-19 vaccine.

Data Mining and Analysis of Scientific Research Data Records on COVID-19 Mortality, Immunity, and Vaccine Development - In the First Wave of the COVID-19 Pandemic

Background and aims:COVID-19 is a global pandemic that requires a global and integrated response of all national medical and healthcare systems. COVID-19 exposed the need for timely response and data sharing on fast spreading global pandemics. In this study, we investigate the scientific research response from the early stages of the pandemic, and we review key findings on how the early warning systems developed in previous epidemics responded to contain the virus. Methods We conducted data mining of scientific literature records from the Web of Science Core Collection, using the topics COVID-19, mortality, immunity, and vaccine. The individual records are analysed in isolation, and the analysis is compared with records on all COVID-19 research topics combined. The data records are analysed with commutable statistical methods, including R Studio, Bibliometrix package, and the Web of Science data mining tool. Results:From historical analysis of scientific data records on viruses, pandemics and mortality, we identified that Chinese universities have not been leading on these topics historically. However, during the early stages of the COVID-19 pandemic, the Chinese universities are strongly dominating the research on these topics. Despite the current political and trade disputes, we found strong collaboration in COVID-19 research between the US and China. From the analysis on COVID-19 and immunity, we wanted to identify the relationship between different risk factors discussed in the news media. We identified few different clusters, containing references to exercise, inflammation, smoking, obesity and many additional factors. From the analysis on Covid-19 and vaccine, we discovered that although the USA is leading in volume of scientific research on Covid-19 vaccine, the leading 3 research institutions (Fudan, Melbourne, Oxford) are not based in the USA. Hence, it is difficult to predict which country would be first to produce a CoCOVIDvid-19 vaccine.Conclusions:We analysed the conceptual structure maps with factorial analysis and multiple correspondence analysis (MCA), and identified multiple relationships between keywords, synonyms and concepts, related to Covid-19 mortality, immunity, and vaccine development. We present integrated and corelated knowledge from 276 records on Covid-19 and mortality, 71 records on COVID-19 and immunity, and 189 records on COVID-19 vaccine.

Respiratory Infection in Institutions during Early Stages of Pandemic (H1N1) 2009, Canada

Outbreaks of respiratory infection in institutions in Ontario, Canada were studied from April 20 to June 12, 2009, during the early stages of the emergence of influenza A pandemic (H1N1) 2009. Despite widespread presence of influenza in the general population, only 2 of 83 outbreaks evaluated by molecular methods were associated with pandemic (H1N1) 2009.