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Investigaciones geográficas

versión On-line ISSN 2448-7279versión impresa ISSN 0188-4611

Resumen

SANCHEZ CARRILLO, Christian Ivan; SANTANA CASTANEDA, Giovanna  y  QUENTIN, Emmanuelle. Space-time dynamics of COVID-19 mortality in Mexico from 2020 to 2022. Invest. Geog [online]. 2025, n.116, e60966.  Epub 02-Jul-2025. ISSN 2448-7279.  https://doi.org/10.14350/rig.60966.

This study analyzes the spatiotemporal dynamics of COVID-19 mortality in Mexico between March 2020 and December 2022, by calculating the time series of monthly deaths and estimating the crude COVID-19 mortality rates of 2020, 2021 and 2022 at the municipality level. In addition, spatio-temporal scanning statistics are employed to identify clusters of high mortality. Five waves of COVID-19 mortality were identified. The second wave, occurring between November 2020 and June 2021, was the most severe, peaking in January 2021 with 39 151 deaths. The spatial distribution of rates in 2020 and 2021 proved heterogeneous, while in 2022 87.05% of municipalities (2 139) recorded the lowest rates (≤ 33 per 100 000 population). Exploratory statistics detected 19 spatiotemporal clusters of COVID-19 deaths, the most likely clustered north of Mexico City, with 9,400 more deaths than expected and the highest relative risk (RR=3.61). The findings reveal the location of populations at risk during the critical period of the pandemic in Mexico, providing useful information for prioritizing resource allocation. In addition, they provide for the development of databases and analysis tools to improve prevention and interventions for the control and surveillance of future infectious disease outbreaks and pandemics.

Palabras llave : mortality; COVID-19; space-time; clusters; relative risk.

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