Municipal-Level Spatial Autocorrelation Dataset for Measles in Mexico, 2025–2026
Abstract
This repository contains the municipal-level dataset used for spatial autocorrelation analysis of measles in Mexico (2025–2026). It includes aggregated case counts, population denominators, geographic identifiers, and calculated incidence rates at the municipal level, formatted for spatial statistical analysis using Global Moran's I and Local Indicators of Spatial Association (LISA). Associated manuscript: Spatiotemporal surveillance of measles in Mexico using Global Moran's I and LISA (under review)
Fields of Study & Subjects
Data-Driven Disease Surveillance
Virology and Viral Diseases
Spatial and Panel Data Analysis
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 February 2026
- Language
- EN
- Document type
- Dataset