Using Surveillance Data to Estimate Infectious Disease Burden: Opportunities and Challenges.

The article discusses the estimation of infectious disease outbreaks via surveillance data as of 2025. Topics covered include the mechanics of an approach that generated a Bayesian hierarchical model with adjusted estimates from available data, and its applications, limitations and further developme...

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Detalles Bibliográficos
Publicado en:	American Journal of Public Health Vol. 115; no. 4; pp. 454 - 457
Autores principales:	Hochheiser, Harry, Kumar, Praveen
Formato:	Artículo
Publicado:	American Public Health Association Apr2025
Materias:	United States Centers for Disease Control & Prevention (U.S.) Communicable diseases Public health surveillance Interprofessional relations Hospital care Influenza Epidemics Public health Global burden of disease
Acceso en línea:	Ver este registro en EBSCOhost

Descripción
Sumario:	The article discusses the estimation of infectious disease outbreaks via surveillance data as of 2025. Topics covered include the mechanics of an approach that generated a Bayesian hierarchical model with adjusted estimates from available data, and its applications, limitations and further development. Also noted is the need for open science practices with greater transparency and collaboration to help modelers inform responses to infectious disease outbreaks.