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Observational research in epidemic settings

A roadmap to reform

Datos Bibliográficos

ID21881388
AutoresEmily Ricotta (0000-0001-9928-8275, Uniformed Services University of the Health Sciences), Fausto Andres Bustos Carrillo (0000-0002-7263-5625, National Institute of Allergy and Infectious Diseases), Samuel Angelli-Nichols (University of Massachusetts Lowell), John Barugahare (0000-0001-6420-4756, Makerere University), A Benton (0000-0001-9523-5985, Northwestern University), Colin J Carlson (0000-0001-6960-8434, Georgetown University), Emma Chang-Rabley (National Institute of Allergy and Infectious Diseases), Natalie E Dean (0000-0003-3884-0921, Emory University), Stephany N Duda (0000-0001-6247-9350, Vanderbilt University), Lisa Federer (0000-0001-5732-5285, United States National Library of Medicine), Mary-Margaret A Fill (Tennessee Department of Health), Mary‐Margaret A Fill (Tennessee Department of Health), Elizabeth C LeRoy (CDISC, Austin, Texas, USA), Natalie M Linton (0000-0002-5464-0076, California Department of Public Health), Marc Lipsitch (0000-0003-1504-9213, Harvard University), Maya B Mathur (0000-0001-6698-2607, Stanford University), Alexandra Phelan (0000-0002-3084-9158, Johns Hopkins Center for Health Security), Annette Rid (0000-0003-1117-1975, National Institutes of Health Clinical Center), Jennifer B Rosen (0009-0002-8892-340X, New York City Department of Health and Mental Hygiene), Lauren Sauer (University of Nebraska Medical Center), Sheena G Sullivan (0000-0002-0856-0294, The Royal Melbourne Hospital), Mackenzie Zendt (0009-0008-6313-5777, National Institute of Allergy and Infectious Diseases), Nicholas G Evans (0000-0002-3330-0224, University of Massachusetts Lowell)
Año2025
Volumen10
Número2
Páginase017981
Fecha de publicación2025-02-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaBMJ Global Health (JOURNAL)
Identificadores de la revistaISSN: 2059-7908 • E-ISSN: 2059-7908
EditorialBMJ (PUBLISHER • GB)
DOI10.1136/bmjgh-2024-017981
PMID39929534
OpenAlexW4407317780
IdiomaEN
Citas recibidas3
Referencias citadas30

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

Data science · Expansive · Management science · Observational methods in psychology · Observational study · Political science · Public health · Public relations · Computer Science · COVID-19 epidemiological studies · Engineering · Medicine · Nursing · Respiratory viral infections research · Viral Infections and Outbreaks Research

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  • The Heart of the Matter

    Open Access•Jolanda Lindenberg, Barbara Groot-Sluijsmans et al.•International Journal of…•2026

  • Randomized, Controlled Trials, Observational Studies, and the Hierarchy of Research Designs

    John Concato, Nirav R Shah et al.•New England Journal of Medicine•2000

  • Avoidable waste in the production and reporting of research evidence

    Open Access•Iain Chalmers, P Glasziou•The Lancet•2009

  • Linking Trust to Trustworthiness

    Onora O’neill•International Journal of…•2018

  • Getting the most from after action reviews to improve global health security

    Open Access•Michael A Stoto, Christopher Nelson et al.•Globalization and Health•2019

Obras citantes distintas3
Citas por año3
Intervalo de citas2026 - 2026 (1)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 3
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae