Open AccessUsing a Bayesian spatiotemporal model to identify the influencing factors and high-risk areas of hand, foot and mouth disease (HFMD) in Shenzhen
Author(s) -
Xin He,
Shengjie Dong,
Liping Li,
Xiaojian Liu,
Yongsheng Wu,
Zhen Zhang,
Shujiang Mei
Publication year - 2020
Publication title -
plos neglected tropical diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.99
H-Index - 135
eISSN - 1935-2735
pISSN - 1935-2727
DOI - 10.1371/journal.pntd.0008085
Subject(s) - hand foot and mouth disease , foot and mouth disease , bayesian probability , disease , hand foot mouth disease , foot (prosody) , statistics , geography , medicine , environmental health , veterinary medicine , virology , mathematics , pathology , outbreak , linguistics , philosophy
Background The epidemic of hand, foot, and mouth disease (HFMD) has become a severe public health problem in the world and has also brought a high economic and health burden. Furthermore, the prevalence of HFMD varies significantly among different locations. However, there have been few investigations of the effects of socioeconomic factors and air pollution factors on the incidence of HFMD. Methods This study collected data on HFMD in Shenzhen, China, from 2012 to 2015. We selected eleven factors as potential risk factors for HFMD. A Bayesian spatiotemporal model was used to quantify the influence of the factors on HFMD and to identify the relative risks in different districts. Results The risk factors of HFMD were the population, population density, concentration of SO 2 , and concentration of NO 2 . The relative risks ( RRs ) were 1.00473 (95% CI : 1.00059–1.00761), 1.00010 (95% CI : 1.00002–1.00016), 1.00215 (95% CI : 1.00170–1.00232) and 1.00058 (95% CI : 1.00028–1.00078), respectively. The protective factors against HFMD were the per capita GDP, the number of public kindergartens, the concentration of PM 10 , and the concentration of O 3 . The RRs were 0.98840 (95% CI : 0.98660–0.99026), 0.97686 (95% CI : 0.96946–0.98403), 0.99108 (95% CI : 0.98551–0.99840) and 0.99587 (95% CI : 0.99534–0.99610), respectively. The risk of incidence in Longgang district and Pingshan district decreased, while the risk of incidence in Baoan district increased. Conclusions Studies have confirmed that socioeconomic factors and air pollution factors have an impact on the incidence of HFMD in Shenzhen, China. The results will be of great practical significance to local authorities, which is conducive to accurate prevention and can be used to formulate HFMD early warning systems.