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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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | International Journal of Infectious Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971221008146 |
| _version_ | 1818421529402146816 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T13:11:48Z |
| format | Article |
| id | doaj.art-5bfe51e7514d48b182b47db019f2573d |
| institution | Directory Open Access Journal |
| issn | 1201-9712 |
| language | English |
| last_indexed | 2024-12-14T13:11:48Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-5bfe51e7514d48b182b47db019f2573d2022-12-21T23:00:11ZengElsevierInternational Journal of Infectious Diseases1201-97122021-12-01113347354Geospatial Variability in Excess Death Rates during the COVID-19 Pandemic in Mexico: Examining Socio Demographic, Climate and Population Health CharacteristicsSushma Dahal0Ruiyan Luo1Monica H. Swahn2Gerardo Chowell3Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA; Corresponding author (SD): School of Public Health, Georgia State University, P.O Box 3995, Atlanta, GA, 30302-3995.Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USADepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USA; WellStar College of Health and Human Services, Kennesaw State University, Kennesaw, GA, USADepartment of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, GA, USAObjectives: 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.http://www.sciencedirect.com/science/article/pii/S1201971221008146excess mortalityCOVID-19 pandemicMexicostatessocio-demographic factorsspatial variation |
| spellingShingle | 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 International Journal of Infectious Diseases excess mortality COVID-19 pandemic Mexico states socio-demographic factors spatial variation |
| title | 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_short | 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 |
| topic | excess mortality COVID-19 pandemic Mexico states socio-demographic factors spatial variation |
| url | http://www.sciencedirect.com/science/article/pii/S1201971221008146 |
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