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Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6269240/ https://www.ncbi.nlm.nih.gov/pubmed/30252017 http://dx.doi.org/10.1093/aje/kwy209 |
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author | Reyes, Olivia Lee, Elizabeth C Sah, Pratha Viboud, Cécile Chandra, Siddharth Bansal, Shweta |
author_facet | Reyes, Olivia Lee, Elizabeth C Sah, Pratha Viboud, Cécile Chandra, Siddharth Bansal, Shweta |
author_sort | Reyes, Olivia |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6269240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62692402019-12-01 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 Am J Epidemiol Epidemiology in History 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. Oxford University Press 2018-12 2018-09-25 /pmc/articles/PMC6269240/ /pubmed/30252017 http://dx.doi.org/10.1093/aje/kwy209 Text en Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2018. This work is written by (a) US Government employee(s) and is in the public domain in the US. This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections. |
spellingShingle | Epidemiology in History Reyes, Olivia Lee, Elizabeth C Sah, Pratha Viboud, Cécile Chandra, Siddharth Bansal, Shweta Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India |
title | Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India |
title_full | Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India |
title_fullStr | Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India |
title_full_unstemmed | Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India |
title_short | Spatiotemporal Patterns and Diffusion of the 1918 Influenza Pandemic in British India |
title_sort | spatiotemporal patterns and diffusion of the 1918 influenza pandemic in british india |
topic | Epidemiology in History |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6269240/ https://www.ncbi.nlm.nih.gov/pubmed/30252017 http://dx.doi.org/10.1093/aje/kwy209 |
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