Study on association factors of intestinal infectious diseases based-Bayesian spatio-temporal model
Abstract Background Intestinal infectious diseases (IIDs) are a significant public health issue in China, and the incidence and distribution of IIDs vary greatly by region and are affected by various factors. This study aims to describe the spatio-temporal trends of IIDs in the Chinese mainland and...
Main Authors: | Yancen Zhan, Hua Gu, Xiuyang Li |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2023-10-01
|
Series: | BMC Infectious Diseases |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12879-023-08665-3 |
Similar Items
-
Spatio–temporal variation on syphilis from 2005 to 2018 in Zhejiang Province, China
by: Xiaoxia Zhu, et al.
Published: (2022-08-01) -
Spatio-temporal pattern and associate factors of intestinal infectious diseases in Zhejiang Province, China, 2008–2021: a Bayesian modeling study
by: Zhixin Zhu, et al.
Published: (2023-08-01) -
Bayesian Spatio-Temporal Prediction and Counterfactual Generation: An Application in Non-Pharmaceutical Interventions in COVID-19
by: Andrew Lawson, et al.
Published: (2023-01-01) -
A Bayesian spatio-temporal study of the association between meteorological factors and the spread of COVID-19
by: Jamie D. Mullineaux, et al.
Published: (2023-11-01) -
A Spatio-temporal Bayesian model to estimate risk and influencing factors related to tuberculosis in Chongqing, China, 2014–2020
by: Zhi-Yi Chen, et al.
Published: (2023-03-01)