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Dataset Information

Spatio-temporal dynamics of three diseases caused by Aedes-borne arboviruses in Mexico.


ABSTRACT:

Background

The intensity of transmission of Aedes-borne viruses is heterogeneous, and multiple factors can contribute to variation at small spatial scales. Illuminating drivers of heterogeneity in prevalence over time and space would provide information for public health authorities. The objective of this study is to detect the spatiotemporal clusters and determine the risk factors of three major Aedes-borne diseases, Chikungunya virus (CHIKV), Dengue virus (DENV), and Zika virus (ZIKV) clusters in Mexico.

Methods

We present an integrated analysis of Aedes-borne diseases (ABDs), the local climate, and the socio-demographic profiles of 2469 municipalities in Mexico. We used SaTScan to detect spatial clusters and utilize the Pearson correlation coefficient

SUBMITTER: Dong B 

PROVIDER: S-EPMC9616936 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature