Observational research in epidemic settings: a roadmap to reform

Observational studies are critical tools in clinical research and public health response, but challenges arise in ensuring the data produced by these studies are scientifically robust and socially valuable. Resolving these challenges requires careful attention to prioritising the most valuable research questions, ensuring robust study design, strong data management practices, expansive community engagement, and access and benefit sharing of results and research materials. This paper opens with a discussion of how well-designed observational studies contribute to biomedical evidence and provides examples from across the clinical literature of how these methods generate hypotheses for future research and uncover otherwise unattainable insights by providing examples from across the clinical literature. Then, we present obstacles that remain in ensuring observational studies are optimally designed, conducted and communicated.

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Publication Details

Journal
BMJ Global Health
Published
2025-02-01
DOI
https://doi.org/10.1136/bmjgh-2024-017981
Citations
10
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
13.68

Funders

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article

Observational research in epidemic settings: a roadmap to reform

Emily Ricotta, Natalie M. Linton, Colin J. Carlson, Elizabeth C. LeRoy et al.
10 citations
BMJ Global Health
COVID-19 epidemiological studies
13.68
article

Observational research in epidemic settings: a roadmap to reform

Emily Ricotta, Natalie M. Linton, Colin J. Carlson, Elizabeth C. LeRoy, Marc Lipsitch, Maya B. Mathur, Mary‐Margaret A. Fill, Jennifer B. Rosen, Sheena G. Sullivan, Adia Benton, Nicholas G. Evans, Natalie E. Dean, Annette Rid, Alexandra Phelan, Mackenzie Zendt, Fausto Andres Bustos Carrillo, John Barugahare, Stephany N. Duda, Emma Chang-Rabley, Lauren Sauer, Lisa Federer, Samuel Angelli-Nichols
article en
10 citations

Abstract

Observational studies are critical tools in clinical research and public health response, but challenges arise in ensuring the data produced by these studies are scientifically robust and socially valuable. Resolving these challenges requires careful attention to prioritising the most valuable research questions, ensuring robust study design, strong data management practices, expansive community engagement, and access and benefit sharing of results and research materials. This paper opens with a discussion of how well-designed observational studies contribute to biomedical evidence and provides examples from across the clinical literature of how these methods generate hypotheses for future research and uncover otherwise unattainable insights by providing examples from across the clinical literature. Then, we present obstacles that remain in ensuring observational studies are optimally designed, conducted and communicated.

BMJ Global HealthVol. 10(2)
Northwestern University (US), The Royal Melbourne Hospital (AU), New York City Department of Health and Mental Hygiene (US), California Department of Public Health (US), University of Massachusetts Lowell (US), Harvard University (US), Uniformed Services University of the Health Sciences (US), Emory University (US), Georgetown University (US), Vanderbilt University (US), United States National Library of Medicine (US), Peter Doherty Institute (AU), Johns Hopkins Center for Health Security (US), Tennessee Department of Health (US), Center for Global Health (US), National Institute of Allergy and Infectious Diseases (US), National Institutes of Health Clinical Center (US), University of Nebraska Medical Center (US), Makerere University (UG), Stanford University (US)
National Science Foundation, Greenwall Foundation, Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, U.S. National Library of Medicine, NIH Clinical Center, Air Force Office of Scientific Research
Good health and well-being
Openalex Percentile: Top 1%
COVID-19 epidemiological studies
13.68
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