Search results
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Title
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A novel machine learning framework for comparison of viral COVID-19–related Sina Weibo and Twitter posts : workflow development and content analysis
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Author
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Chen, Shi, Zhou, Lina, Song, Yunya, Xu, Qian, Wang, Ping, Wang, Kanlun, Ge, Yaorong, Janies, Daniel
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Date Created
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2021
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Subjects--Topical
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COVID-19 (Disease), Twitter (Firm), Social media, Machine learning
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Description
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Background: Social media plays a critical role in health communications, especially during global health emergencies such as the current COVID-19 pandemic. However, there is a lack of a universal analytical framework to extract, quantify, and comp...
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Title
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An epidemiologic analysis of associations between county-level per capita income, unemployment rate, and COVID-19 vaccination rates in the United States
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Author
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Gao, Jingjing, Guo, Yuqi, Kaniuka, Andrea, Sims, Omar T.
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Date Created
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2022
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Subjects--Topical
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COVID-19 (Disease), COVID-19 (Disease)--Vaccination
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Description
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The purpose of this longitudinal study was to examine associations between per capita income, unemployment rates, and COVID-19 vaccination rates at the county-level across the United States (U.S.), as well as to identify the interaction effects be...
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Title
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COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
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Author
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Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
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Subjects--Topical
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Public health, COVID-19 (Disease), Social distancing (Public health)
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Description
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This study empirically investigates the complex interplay between the severity of the coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces, and residential areas, and lockdown measures in 88 countries aroun...
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Title
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Contextualizing the experiences of Black pregnant women during the COVID-19 pandemic : ‘It’s been a lonely ride’
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Author
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Dahl, Alicia A., Yada, Farida N., Butts, Shanika Jerger, Tolley, Annalise, Hirsch, Sophie, Lalgondar, Priyanka, Wilson, Kala S.
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Date Created
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2023
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Subjects--Topical
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Maternal health services, COVID-19 (Disease), Women, Black
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Description
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The emergence of the COVID-19 pandemic significantly changed the prenatal care experience, specifically regarding medical appointments and social opportunities. It is critical to capture this change through the narratives of pregnant people, parti...
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Title
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Daily surveillance of COVID-19 using the prospective space-time scan statistic in the United States
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Author
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Delmelle, Eric, Hohl, Alexander, Desjardins, Michael R., Lan, Yu
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Subjects--Topical
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COVID-19 (Disease), Virus diseases--Transmission
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Description
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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first discovered in late 2019 in Wuhan City, China. The virus may cause novel coronavirus disease 2019 (COVID-19) in symptomatic in- dividuals. Since December of 2019, there have...
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Title
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Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
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Author
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Thill, Jean-Claude, Janies, Daniel, Chen, Shi, Paul, Rajib
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Date Created
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2021
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Subjects--Topical
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Deep learning (Machine learning), COVID-19 (Disease)
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Description
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Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially...
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Title
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Fundamental evolution of all Orthocoronavirinae including three deadly lineages descendent from Chiroptera-hosted coronaviruses : SARS-CoV, MERS-CoV and SARS-CoV-2
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Author
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Machado, Denis Jacob, Scott, Rachel, Guirales, Sayal, Janies, Daniel
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Subjects--Topical
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Coronaviruses, SARS (Disease), MERS (Disease), COVID-19 (Disease)
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Description
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The severe acute respiratory syndrome coronavirus (SARS-CoV) emerged in humans in 2002. Despite reports showing Chiroptera as the original animal reservoir of SARS-CoV, many argue that Carnivora-hosted viruses are the most likely origin. The emerg...
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Title
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Fundamentals of genomic epidemiology, lessons learned from the coronavirus disease 2019 (COVID-19) pandemic, and new directions
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Author
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Machado, Denis Jacob, White, Richard Allen, III, Kofsky, Janice, Janies, Daniel
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Subjects--Topical
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COVID-19 (Disease), Epidemiology
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Description
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The coronavirus disease 2019 (COVID-19) pandemic was one of the significant causes of death worldwide in 2020. The disease is caused by severe acute coronavirus syndrome (SARS) coronavirus 2 (SARS-CoV-2), an RNA virus of the subfamily Orthocoronav...
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Title
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Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
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Author
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Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
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Date Created
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2021
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Subjects--Topical
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Machine learning, COVID-19 (Disease)
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Description
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The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and non-pharmaceutical interventions of lockdown and confinement implem...
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Title
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Projected resurgence of COVID-19 in the United States in July-December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination
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Author
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Thill, Jean-Claude, Janies, Daniel, Chen, Shi
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Date Created
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2022
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Subjects--Topical
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COVID-19 (Disease), Vaccination
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Description
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In Spring 2021, the highly transmissible SARS-CoV-2 Delta variant began to cause increases in cases, hospitalizations, and deaths in parts of the United States. At the time, with slowed vaccination uptake, this novel variant was expected to increa...
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Title
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Prosocial orientation and COVID‐19 vaccine willingness in the U.S.
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Author
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Canevello, Amy, Magid, Kirby, Jiang, Tao, Perry, Jasmine
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Date Created
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2023
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Subjects--Topical
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COVID-19 (Disease), COVID-19 (Disease)--Vaccination
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Description
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Despite evidence of the safety and effectiveness of COVID-19 vaccines and their wide availability, many in the U.S. are not vaccinated. Research demonstrates that prosocial orientations predict COVID-19 health behaviors (e.g., social distancing) a...
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Title
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The study of COVID-19 within the state of North Carolina in the United States
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Author
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Alzate, Cesar, Li, Xingjie Helen
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Subjects--Topical
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COVID-19 (Disease), Virus diseases--Transmission
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Description
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Research on COVID-19 was done for North Carolina to assess local governmental policies, to measure COVID-19 growth rate, and to discover what predictors impact COVID-19 spread. Using a Time-Delayed SIR model, removal rates were calculated to compa...