Covid-19 Epidemiological Studies
95 researchers across 7 institutions
Epidemiological studies of COVID-19 examine the distribution, patterns, and determinants of the disease within populations. Researchers investigate critical questions about transmission dynamics, the impact of public health interventions, and factors influencing disease severity and outcomes. Methodologies include statistical modeling, data analysis of public health records, and surveys to understand population-level trends. Sub-fields of study encompass vaccine effectiveness and hesitancy, the disproportionate impact of the virus on specific demographic groups, and the long-term health consequences of infection.
This research holds particular relevance for Arkansas by informing public health strategies and resource allocation within the state. Understanding how COVID-19 affects diverse communities across Arkansas, including rural and urban areas, is crucial for developing targeted interventions. The studies also provide insights into the resilience of the state's healthcare systems and the economic impacts of disease outbreaks on sectors such as agriculture and tourism. Analyzing vaccine coverage and hesitancy within the state's population helps tailor public health messaging and improve access to protective measures.
This area of study draws on expertise from various disciplines, including biostatistics, public health, social sciences, and infectious disease research. Engagement spans multiple institutions across Arkansas, with significant contributions from researchers at the University of Arkansas for Medical Sciences, alongside collaborators at other universities. The work is supported by federal funding and involves faculty, graduate students, and postdoctoral researchers.
Top Researchers
| Name | Institution | h-index | Citations | Career Stage | Badges |
|---|---|---|---|---|---|
| Horace J. Spencer | UAMS | 54 | 10,268 | High Impact | |
| Donald B. McCormick | UAMS | 43 | 7,440 | High Impact | |
| Mark L. Williams | UAMS | 38 | 5,525 | High Impact | |
| Wendy Nembhard | UAMS | 33 | 5,358 | Grant PI High Impact | |
| Aaron M. Wendelboe | UAMS | 27 | 6,633 | High Impact | |
| J. Craig Forrest | UAMS | 26 | 2,893 | Grant PI High Impact | |
| Mohammed S. Orloff | UAMS | 25 | 3,661 | High Impact | |
| Matthew S. Kelly | UAMS | 25 | 1,950 | High Impact | |
| Don E. Willis | UAMS | 24 | 2,127 | High Impact | |
| Rachel S. Purvis | UAMS | 23 | 1,679 | High Impact | |
| Prabhat Singh Malik | UAMS | 22 | 1,835 | High Impact | |
| Sandra Johnson | University of Arkansas – Fort Smith | 22 | 3,938 | High Impact | |
| Sumit Shah | UAMS | 20 | 1,182 | High Impact | |
| Daniel Thompson | Arkansas State University | 20 | 1,358 | High Impact | |
| Daniel W. Rahn | UAMS | 20 | 2,008 | High Impact | |
| Austin Porter | UAMS | 16 | 621 | ||
| George Pro | UAMS | 16 | 780 | Grant PI | |
| Bobby L. Boyanton Jr | UAMS | 16 | 1,146 | ||
| Yaqian He | University of Central Arkansas | 16 | 938 | ||
| Clare C. Brown | UAMS | 14 | 843 | Grant PI |
Related Research Areas
Cross-Institution Connections
Researchers at different institutions with overlapping expertise in Covid-19 Epidemiological Studies.