Spatiotemporal characteristics of hand,foot and mouth disease and influencing factors in China from 2011 to 2018.
10.3760/cma.j.cn112338-20220416-00307
- Author:
Ya Ting WANG
1
;
Wen Jia PENG
1
;
Hua Lin SU
2
;
Weibing WANG
1
Author Information
1. Department of Epidemiology, Key Laboratory of Public Health Safety of Ministry of Education, School of Public Health, Fudan University, Shanghai 200032, China.
2. Minhang District Center for Disease Control and Prevention, Shanghai 201101, China.
- Publication Type:Journal Article
- MeSH:
Humans;
Animals;
Bayes Theorem;
Foot-and-Mouth Disease;
China/epidemiology*;
Hand, Foot and Mouth Disease/epidemiology*;
Menthol
- From:
Chinese Journal of Epidemiology
2022;43(10):1562-1567
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To analyze the spatiotemporal characteristics of hand,foot and mouth disease (HFMD) in China, explore the association of socioeconomic, population and health services factors with the incidence of HFMD in China, and provide information for the prevention and control of HFMD. Methods: Bayesian spatiotemporal model was used to fit the data of HFMD, evaluate the spatiotemporal variation of HFMD, and identify the potential association between the risk of HFMD and social, economic, population and health services. Results: From 2011 to 2018, a total of 17 118 050 HFMD cases, including 2 283 deaths, were reported in China. The reported incidence showed a fluctuating increase trend from 2011 to 2014, and a fluctuating decrease trend from 2014 to 2018. Meanwhile, there was a fluctuating decrease trend of mortality rate. The incidence of HFMD had spatial clustering, with the highest incidence in southern China with hot spot and high risk areas, and the lowest incidence in northwestern China where cold spot and low risk areas were found. The risk for HFMD was associated with GDP per capita (RR=3.54), number of industrial enterprises above designated size of 10 000 people (RR=1.61), urbanization rate (RR=3.00), birth rate (RR=2.36), number of beds in medical institutions per 10 000 people (RR=3.40), and green area in parks per capita (RR=0.57). Conclusions: The hotspot area for HFMD prevention and control in China was in the southeast coastal provinces from 2011 to 2018. In order to reduce the incidence of HFMD, it is necessary to increase the green area in parks per capita while accelerating urbanization process.
