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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Autores principales: Sushma Dahal, Ruiyan Luo, Monica H. Swahn, Gerardo Chowell
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/5bfe51e7514d48b182b47db019f2573d
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