Application and prospect of Bayesian spatio-temporal model in the study of hydatid disease

VernacularTitle:贝叶斯时空模型在包虫病研究中的应用与前景
Author: Yuying LIU ¹ ; Tiantian ZHANG ; Xiao MA ; Shou LIU
Author Information

1. 青海大学医学部公共卫生系，西宁　810001
Keywords: Bayesian spatio-temporal model; Hydatid disease; Review
From: Chinese Journal of Endemiology 2022;41(4):341-344
CountryChina
Language:Chinese
Abstract: With the development of computer technology and the abundance of spatio-temporal data, Bayesian spatio-temporal model (BSTM) has been developed rapidly, and wildly used by academics to investigate the spatial epidemiological feature of infectious diseases. Hydatid disease is a global natural focus disease that seriously endangers human health. Its epidemic process is complex and affected by many factors. BSTM provides a new method for study of hydatid disease. By modeling, we can not only analyze the influencing factors of hydatid disease, but also can predict the epidemic trend and make the disease distribution map, which is of great significance to public health decisionmaking. Based on a comprehensive review of the literatures, this paper expounds the principles, types and application status of BSTM in hydatid disease.