An analysis of rodent density patterns and its spatial-temporal correlations using geographically and temporally weighted regression in southeastern China.

ABSTRACT:

Introduction

Rodents are significant vectors, harboring diverse pathogenic microorganisms which can spread a variety of infectious diseases. Surveillance on rodent density patterns should be prioritized as early warning indicators for prevention and control of infectious diseases. We aimed to analyze spatial and temporal heterogeneity of rodent density patterns in Zhejiang Province, and analyze the spatial and temporal correlations between rodent density, meteorological, land use and vegetation factors.

Methods

Collect rodent surveillance data, meteorological factors, and vegetation factors in Zhejiang Province from 2019 to 2023. Analyze the temporal and spatial distribution of rodent density patterns. Employ the GTWR model to analyze the spatial and temporal correlations be

SUBMITTER: Luo M 

PROVIDER: S-EPMC12823992 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature