A Bayesian maximum entropy model for predicting tsetse ecological distributions.

ABSTRACT:

Background

African trypanosomiasis is a tsetse-borne parasitic infection that affects humans, wildlife, and domesticated animals. Tsetse flies are endemic to much of Sub-Saharan Africa and a spatial and temporal understanding of tsetse habitat can aid surveillance and support disease risk management. Problematically, current fine spatial resolution remote sensing data are delivered with a temporal lag and are relatively coarse temporal resolution (e.g., 16 days), which results in disease control models often targeting incorrect places. The goal of this study was to devise a heuristic for identifying tsetse habitat (at a fine spatial resolution) into the future and in the temporal gaps where remote sensing and proximal data fail to supply information.

Methods

This paper intro

SUBMITTER: Fox L 

PROVIDER: S-EPMC10655428 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature