Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics

OBJECTIVES: This study examined how socio-demographic, climate and population health characteristics shaped the geospatial variability in excess mortality patterns during the COVID-19 pandemic in Mexico. METHODS: We used Serfling regression models to estimate all-cause excess mortality rates for all...

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Detalles Bibliográficos
Autores principales: Dahal, Sushma, Luo, Ruiyan, Swahn, Monica H., Chowell, Gerardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595324/
https://www.ncbi.nlm.nih.gov/pubmed/34678505
http://dx.doi.org/10.1016/j.ijid.2021.10.024

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595324/
https://www.ncbi.nlm.nih.gov/pubmed/34678505
http://dx.doi.org/10.1016/j.ijid.2021.10.024

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