Data and code for: Spatiotemporal analysis of the 2025–2026 measles outbreak in Mexico

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Authors: Murillo-Zamora Efrén
Cited by: 0

Abstract

This repository contains data and code for the spatiotemporal analysis of measles clusters in Mexico (2025–2026). It includes municipal-level case counts, population denominators, geographic coordinates, and SaTScan™-formatted input files to replicate the space-time scan statistical analysis. R scripts for data preparation and visualization are also provided. Associated manuscript: Spatiotemporal dynamics of the 2025–26 measles resurgence in Mexico: A national scan-statistic analysis (under review)

Fields of Study & Subjects

Data-Driven Disease Surveillance Virology and Viral Diseases Mathematical and Theoretical Epidemiology and Ecology Models

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 February 2026
Language
EN
Document type
Dataset