Unknown

Dataset Information

Assessing the spatiotemporal dynamics and driving factors of human brucellosis in Northern Xinjiang, China (2015-2023).


ABSTRACT:

Objectives

Brucellosis has long been a major public health concern in western pastoral areas. This study aimed to explore the spatiotemporal dynamic evolution of human brucellosis in northern Xinjiang and analyze the spatial heterogeneity of factors influencing its incidence in different counties and districts.

Methods

The JPR (Joinpoint regression model) and spatial autocorrelation analysis were employed to capture the potential spatiotemporal distribution changes of human brucellosis in northern Xinjiang from 2015 to 2023. Multiscale Geographically Weighted Regression (MGWR) was established to analyze the spatiotemporal correlation between the incidence of human brucellosis and relevant influencing factors.

Results

The incidence of brucellosis in northern Xinjiang f

SUBMITTER: Zhou P 

PROVIDER: S-EPMC12829208 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature