Identifying high risk areas of Zika virus infection by meteorological factors in Colombia.

ABSTRACT:

Background

Several Zika virus (ZIKV) outbreaks have occurred since October 2015. Because there is no effective treatment for ZIKV infection, developing an effective surveillance and warning system is currently a high priority to prevent ZIKV infection. Despite Aedes mosquitos having been known to spread ZIKV, the calculation approach is diverse, and only applied to local areas. This study used meteorological measurements to monitor ZIKV infection due to the high correlation between climate change and Aedes mosquitos and the convenience to obtain meteorological data from weather monitoring stations.

Methods

This study applied the Bayesian structured additive regression modeling approach to include spatial interactive terms with meteorological factors and a geospatial function

SUBMITTER: Chien LC 

PROVIDER: S-EPMC6814059 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature