GIDS Research Radar ยท Rio Grande do Norte, Brazil https://globalinfectiousdisease.com/research/ Published infectious-disease literature filtered to Rio Grande do Norte, Brazil. en Sat, 07 Nov 2026 03:45:11 GMT ARBOALVO: A Bayesian spatiotemporal learning and predictive model for dengue cases in the endemic Northeast city of Natal, Rio Grande do Norte, Brazil https://papers.globalinfectiousdisease.com/research/articles/10-1371-journal-pntd-0012984-4c7f76bf/ https://papers.globalinfectiousdisease.com/research/articles/10-1371-journal-pntd-0012984-4c7f76bf/ Tue, 29 Apr 2025 00:00:00 GMT The Bayesian space-time model can support operational control of dengue and Aedes aegypti by identifying priority areas for intervention, forecasting cases four weeks ahead to enable timely response, and quantifying the effects of entomological, climatic, sociosanitary, and demographic factors on disease occurrence and outbreak intensity. Dengue Chikungunya Transmission dynamics Surveillance Climate and environment Journal article