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Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India.
Reyes, Olivia; Lee, Elizabeth C; Sah, Pratha; Viboud, Cécile; Chandra, Siddharth; Bansal, Shweta.
Afiliación
  • Reyes O; Department of Biology, Georgetown University, Washington, DC.
  • Lee EC; Department of Biology, Georgetown University, Washington, DC.
  • Sah P; Department of Biology, Georgetown University, Washington, DC.
  • Viboud C; Fogarty International Center, National Institutes of Health, Bethesda, Maryland.
  • Chandra S; Asian Studies Center, James Madison College, and the Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan.
  • Bansal S; Department of Biology, Georgetown University, Washington, DC.
Am J Epidemiol ; 187(12): 2550-2560, 2018 12 01.
Article en En | MEDLINE | ID: mdl-30252017
ABSTRACT
The factors that drive spatial heterogeneity and diffusion of pandemic influenza remain debated. We characterized the spatiotemporal mortality patterns of the 1918 influenza pandemic in British India and studied the role of demographic factors, environmental variables, and mobility processes on the observed patterns of spread. Fever-related and all-cause excess mortality data across 206 districts in India from January 1916 to December 1920 were analyzed while controlling for variation in seasonality particular to India. Aspects of the 1918 autumn wave in India matched signature features of influenza pandemics, with high disease burden among young adults, (moderate) spatial heterogeneity in burden, and highly synchronized outbreaks across the country deviating from annual seasonality. Importantly, we found population density and rainfall explained the spatial variation in excess mortality, and long-distance travel via railroad was predictive of the observed spatial diffusion of disease. A spatiotemporal analysis of mortality patterns during the 1918 influenza pandemic in India was integrated in this study with data on underlying factors and processes to reveal transmission mechanisms in a large, intensely connected setting with significant climatic variability. The characterization of such heterogeneity during historical pandemics is crucial to prepare for future pandemics.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gripe Humana / Influenza Pandémica, 1918-1919 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Am J Epidemiol Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Gripe Humana / Influenza Pandémica, 1918-1919 Tipo de estudio: Prognostic_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Am J Epidemiol Año: 2018 Tipo del documento: Article