Covid-19 clinical presentation, management, and epidemiology
A concise compendium
Bibliographic Data
| ID | 22069476 |
|---|---|
| Authors | David P Maison (0000-0003-3428-1931, University of Hawaiʻi at Mānoa, corresponding author), Hawi Tasissa (University of California, San Francisco), Amelia Deitchman, Amelia N Deitchman (0000-0002-4722-463X, University of California, San Francisco), Michael J Peluso (0000-0003-0585-6230, University of California, San Francisco), Youping Deng (0000-0002-5951-8213, University of Hawaiʻi at Mānoa), F Dewolfe Miller (0000-0002-5130-056X, University of Hawaiʻi at Mānoa), Timothy J Henrich (0000-0002-6684-0622, University of California, San Francisco), Mariana Gerschenson (0000-0002-8615-5964, University of Hawaiʻi at Mānoa) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1498445-1498445 |
| Publication date | 2025-01-31 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1498445 |
| PMID | 39957982 |
| OpenAlex | W4407034648 |
| Language | EN |
| References cited | 119 |
Coronavirus Disease 2019, caused by severe acute respiratory coronavirus 2, has been an ever-evolving disease and pandemic, profoundly impacting clinical care, drug treatments, and understanding. In response to this global health crisis, there has been an unprecedented increase in research exploring new and repurposed drugs and advancing available clinical interventions and treatments. Given the widespread interest in this topic, this review aims to provide a current summary—for interested professionals not specializing in COVID-19—of the clinical characteristics, recommended treatments, vaccines, prevention strategies, and epidemiology of COVID-19. The review also offers a historical perspective on the pandemic to enhance understanding
2019-20 coronavirus outbreak · Compendium · Data science · Disease · Geography · Outbreak · Pathology · Computer Science · COVID-19 Clinical Research Studies · COVID-19 epidemiological studies · Medicine · SARS-CoV-2 and COVID-19 Research · Epidemiology · Virology
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| Highly cited | No |
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