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
Materias:	excess mortality COVID-19 pandemic Mexico states socio-demographic factors spatial variation Infectious and parasitic diseases RC109-216
Acceso en línea:	https://doaj.org/article/5bfe51e7514d48b182b47db019f2573d
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spelling	oai:doaj.org-article:5bfe51e7514d48b182b47db019f2573d2021-11-18T04:45:52ZGeospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics1201-971210.1016/j.ijid.2021.10.024https://doaj.org/article/5bfe51e7514d48b182b47db019f2573d2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1201971221008146https://doaj.org/toc/1201-9712Objectives: 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 32 Mexican states. The association between socio-demographic, climate, health indicators and excess mortality rates were determined using multiple linear regression analyses. Functional data analysis characterized clusters of states with distinct excess mortality growth rate curves. Results: The overall all-cause excess deaths rate during the COVID-19 pandemic in Mexico until April 10, 2021 was estimated at 39.66 per 10 000 population. The lowest excess death rates were observed in southeastern states including Chiapas (12.72) and Oaxaca (13.42), whereas Mexico City had the highest rate (106.17), followed by Tlaxcala (51.99). We found a positive association of excess mortality rates with aging index, marginalization index, and average household size (P < 0.001) in the final adjusted model (Model R2=77%). We identified four distinct clusters with qualitatively similar excess mortality curves. Conclusion: Central states exhibited the highest excess mortality rates, whereas the distribution of aging index, marginalization index, and average household size explained the variability in excess mortality rates across Mexico.Sushma DahalRuiyan LuoMonica H. SwahnGerardo ChowellElsevierarticleexcess mortalityCOVID-19 pandemicMexicostatessocio-demographic factorsspatial variationInfectious and parasitic diseasesRC109-216ENInternational Journal of Infectious Diseases, Vol 113, Iss , Pp 347-354 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	excess mortality COVID-19 pandemic Mexico states socio-demographic factors spatial variation Infectious and parasitic diseases RC109-216
spellingShingle	excess mortality COVID-19 pandemic Mexico states socio-demographic factors spatial variation Infectious and parasitic diseases RC109-216 Sushma Dahal Ruiyan Luo Monica H. Swahn Gerardo Chowell Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics
description	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 32 Mexican states. The association between socio-demographic, climate, health indicators and excess mortality rates were determined using multiple linear regression analyses. Functional data analysis characterized clusters of states with distinct excess mortality growth rate curves. Results: The overall all-cause excess deaths rate during the COVID-19 pandemic in Mexico until April 10, 2021 was estimated at 39.66 per 10 000 population. The lowest excess death rates were observed in southeastern states including Chiapas (12.72) and Oaxaca (13.42), whereas Mexico City had the highest rate (106.17), followed by Tlaxcala (51.99). We found a positive association of excess mortality rates with aging index, marginalization index, and average household size (P < 0.001) in the final adjusted model (Model R2=77%). We identified four distinct clusters with qualitatively similar excess mortality curves. Conclusion: Central states exhibited the highest excess mortality rates, whereas the distribution of aging index, marginalization index, and average household size explained the variability in excess mortality rates across Mexico.
format	article
author	Sushma Dahal Ruiyan Luo Monica H. Swahn Gerardo Chowell
author_facet	Sushma Dahal Ruiyan Luo Monica H. Swahn Gerardo Chowell
author_sort	Sushma Dahal
title	Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics
title_short	Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics
title_full	Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics
title_fullStr	Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics
title_full_unstemmed	Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics
title_sort	geospatial variability in excess death rates during the covid-19 pandemic in mexico: examining socio demographic, climate and population health characteristics
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/5bfe51e7514d48b182b47db019f2573d
work_keys_str_mv	AT sushmadahal geospatialvariabilityinexcessdeathratesduringthecovid19pandemicinmexicoexaminingsociodemographicclimateandpopulationhealthcharacteristics AT ruiyanluo geospatialvariabilityinexcessdeathratesduringthecovid19pandemicinmexicoexaminingsociodemographicclimateandpopulationhealthcharacteristics AT monicahswahn geospatialvariabilityinexcessdeathratesduringthecovid19pandemicinmexicoexaminingsociodemographicclimateandpopulationhealthcharacteristics AT gerardochowell geospatialvariabilityinexcessdeathratesduringthecovid19pandemicinmexicoexaminingsociodemographicclimateandpopulationhealthcharacteristics
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Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health Characteristics

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