Human-Altered Landscapes and Climate to Predict Human Infectious Disease Hotspots.

ABSTRACT:

Background

Zoonotic diseases account for more than 70% of emerging infectious diseases (EIDs). Due to their increasing incidence and impact on global health and the economy, the emergence of zoonoses is a major public health challenge. Here, we use a biogeographic approach to predict future hotspots and determine the factors influencing disease emergence. We have focused on the following three viral disease groups of concern: Filoviridae, Coronaviridae, and Henipaviruses.

Methods

We modelled presence-absence data in spatially explicit binomial and zero-inflation binomial logistic regressions with and without autoregression. Presence data were extracted from published studies for the three EID groups. Various environmental and demographical rasters were used to explain the di

SUBMITTER: Jagadesh S 

PROVIDER: S-EPMC9325272 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature