Estimation of the relationship between meteorological factors and measles using spatiotemporal Bayesian model in Shandong Province, China

Estimation of the relationship between meteorological factors and measles using spatiotemporal Bayesian model in Shandong Province, China

Abstract Background Measles-containing vaccine (MCV) has been effective in controlling the spread of measles. Some countries have declared measles elimination. But recently years, the number of cases worldwide has increased, posing a challenge to the global goal of measles eradication. This study es...

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Bibliographic Details
Main Authors: Yan Jia, Qing Xu, Yuchen Zhu, Chunyu Li, Chang Qi, Kaili She, Tingxuan Liu, Ying Zhang, Xiujun Li
Format: Article
Language:English
Published: BMC 2023-07-01
Series:BMC Public Health
Subjects:
Measles
Meteorological factors
Spatiotemporal Bayesian model
Regional relative risks
Online Access:https://doi.org/10.1186/s12889-023-16350-y

Internet

https://doi.org/10.1186/s12889-023-16350-y

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