Skip to main content
AMCA26 Main banner
Final Program


Icon Legend
This session is not in your schedule.
This session is in your schedule. Click again to remove it.

Latin American Symposium

Latin American Symposium

Latin American Symposium

Municipal-Scale Climate and Environmental Indicators and Their Association with Dengue Incidence in Nuevo Leon, Mexico (2020–2024)

Wednesday, March 25, 2026
8:40 AM - 8:50 AM PDT
Location: B113
Vector-borne diseases such as dengue are highly sensitive to climatic and environmental conditions, yet national-scale assessments at fine administrative resolutions remain computationally challenging. This study presents a scalable Google Earth Engine (GEE) workflow to derive annual municipal-level climate and environmental indicators and evaluate their association with reported dengue cases in Nuevo Leon, Mexico between 2020 and 2025. We integrated multi-source open datasets, including MODIS land surface temperature (daytime and nighttime), vegetation indices (NDVI and EVI), CHIRPS daily precipitation, and ERA5-Land atmospheric variables. Monthly composite images were generated for key thermal, hydrological, vegetation, and atmospheric indicators. Zonal statistics were calculated at 1-km spatial resolution for all Nuevo Leon municipalities using official administrative boundaries. The resulting dataset provides a harmonized, statewide set of municipal-scale climate and environmental indicators, which was subsequently linked to officially reported dengue case counts for the period 2020–2025. This framework enables the exploration of climate–dengue associations at unprecedented spatial coverage in Mexico and offers a transferable methodological approach for integrating remote sensing and epidemiological data in large-scale vector-borne disease studies. The workflow is readily adaptable to other regions, diseases, and temporal windows, supporting climate-informed public health decision-making.