Bayesian geostatistical modeling of leishmaniasis incidence in Brazil.

• Published in: PLoS Neglected Tropical Diseases
• Main Authors: Dimitrios-Alexios Karagiannis-Voules, Ronaldo G C Scholte, Luiz H Guimarães, Jürg Utzinger, Penelope Vounatsou
• Format: Article in Journal/Newspaper
• Language: English
• Published: Public Library of Science (PLoS) 2013
• Subjects: Arctic medicine. Tropical medicine; RC955-962; Public aspects of medicine; RA1-1270; Arctic; Laplace
• Online Access: https://doi.org/10.1371/journal.pntd.0002213; https://doaj.org/article/08bf7e519bcc472486f31c16f12fd269

BACKGROUND: Leishmaniasis is endemic in 98 countries with an estimated 350 million people at risk and approximately 2 million cases annually. Brazil is one of the most severely affected countries. METHODOLOGY: We applied Bayesian geostatistical negative binomial models to analyze reported incidence...