Spatiotemporal correlation analysis between climate change and hantavirus outbreak in Argentina: Quantitative causal inference based on Google Earth Engine and Bayesian spatiotemporal regression
B1 Crossref Works API · 2026-07-15 · Argentina · SNV
Objective: The number of confirmed cases of Hantavirus Pulmonary Syndrome (HPS) in Argentina surged to 101 in the 2025–2026 epidemic season, nearly doubling from the previous season. There was a significant geographical shift in the epicenter of the epidemic from the traditional Patagonian region to the province of Buenos Aires and the NOA region (Salta, Jujuy) in the northwest. This study aims to use the Google Earth Engine (GEE) cloud platform to integrate ERA5 reanalysis climate data and NOAA surface observation data, construct a Bayesian spatiotemporal hierarchy model, and quantitatively a
Read at source (Crossref Works API) →
HORIZON metadata
| Source | Crossref Works API (crossref) |
|---|---|
| NATO rating | B1 — see methodology |
| Country | Argentina |
| Serotype | SNV |
| Reported date | 2026-07-15 |
| Ingested at | 2026-06-07 00:50 UTC |