Spatial prediction of the probability of liver fluke infection in water resource within sub-basin using an optimized geographically-weighted regression model.

ABSTRACT:

Introduction

Infection with liver flukes (Opisthorchis viverrini) is partly attributed to their ability to thrive in sub-basin habitats, causing the intermediate host to remain within the watershed system throughout the year. It is crucial to conduct spatial monitoring of fluke infection at a small basin analysis scale as it helps in studying the spatial factors influencing these infections. The number of infected individuals was obtained from local authorities, converted into a percentage, and visually represented as raster data through a heat map. This approach generates continuous data with dependent variables.

Methods

The independent set comprises nine variables, including both vector and raster data, that establish a connection between the location of an infected person

SUBMITTER: Pumhirunroj B 

PROVIDER: S-EPMC11578970 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature