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...
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: | |
Online Access: | https://doi.org/10.1186/s12889-023-16350-y |
Similar Items
-
Spatiotemporal Distribution and Genetic Characterization of Measles Strains Circulating in Greece during the 2017–2018 Outbreak
by: Vasiliki Pogka, et al.
Published: (2020-10-01) -
Spatiotemporal Traffic Prediction Using Hierarchical Bayesian Modeling
by: Taghreed Alghamdi, et al.
Published: (2021-08-01) -
Research Progress on Spatiotemporal Interpolation Methods for Meteorological Elements
by: Yizhen Wang, et al.
Published: (2024-03-01) -
Epidemiological and Clinical Characteristics of Measles in Jinan, Shandong Province, China, from 1991 to 2022
by: Wang XY, et al.
Published: (2023-06-01) -
Comparative study on molecular epidemiology of measles H1 outbreak and sporadic cases in Shandong Province, 2013–2019
by: Suting Wang, et al.
Published: (2022-04-01)