Spatio-temporal evolution and trend prediction of the incidence of Class B notifiable infectious diseases in China: a sample of statistical data from 2007 to 2020.

Autor: Wang RN; School of Health Management, Southern Medical University, Guangzhou, 510515, China., Zhang YC; Bussiness School, University of Aberdeen, Aberdeen, UK., Yu BT; School of Health Management, Southern Medical University, Guangzhou, 510515, China., He YT; School of Health Management, Southern Medical University, Guangzhou, 510515, China., Li B; School of Health Management, Southern Medical University, Guangzhou, 510515, China. 45510307@qq.com., Zhang YL; School of Health Management, Southern Medical University, Guangzhou, 510515, China. zhangyi1223882953@163.com.
Jazyk: angličtina
Zdroj: BMC public health [BMC Public Health] 2022 Jun 17; Vol. 22 (1), pp. 1208. Date of Electronic Publication: 2022 Jun 17.
DOI: 10.1186/s12889-022-13566-2
Abstrakt: Background: With the accelerated global integration and the impact of climatic, ecological and social environmental changes, China will continue to face the challenge of the outbreak and spread of emerging infectious diseases and traditional ones. This study aims to explore the spatial and temporal evolutionary characteristics of the incidence of Class B notifiable infectious diseases in China from 2007 to 2020, and to forecast the trend of it as well. Hopefully, it will provide a reference for the formulation of infectious disease prevention and control strategies.
Methods: Data on the incidence rates of Class B notifiable infectious diseases in 31 provinces, municipalities and autonomous regions of China from 2007 to 2020 were collected for the prediction of the spatio-temporal evolution and spatial correlation as well as the incidence of Class B notifiable infectious diseases in China based on global spatial autocorrelation and Autoregressive Integrated Moving Average (ARIMA).
Results: From 2007 to 2020, the national incidence rate of Class B notifiable infectious diseases (from 272.37 per 100,000 in 2007 to 190.35 per 100,000 in 2020) decreases year by year, and the spatial distribution shows an "east-central-west" stepwise increase. From 2007 to 2020, the spatial clustering of the incidence of Class B notifiable infectious diseases is significant and increasing year by year (Moran's I index values range from 0.189 to 0.332, p < 0.05). The forecasted incidence rates of Class B notifiable infectious diseases nationwide from 2021 to 2024 (205.26/100,000, 199.95/100,000, 194.74/100,000 and 189.62/100,000) as well as the forecasted values for most regions show a downward trend, with only some regions (Guangdong, Hunan, Hainan, Tibet, Guangxi and Guizhou) showing an increasing trend year by year.
Conclusions: The current study found that since there were significant regional disparities in the prevention and control of infectious diseases in China between 2007 and 2020, the reduction of the incidence of Class B notifiable infectious diseases requires the joint efforts of the surrounding provinces. Besides, special attention should be paid to provinces with an increasing trend in the incidence of Class B notifiable infectious diseases to prevent the re-emergence of certain traditional infectious diseases in a particular province or even the whole country, as well as the outbreak and spread of emerging infectious diseases.
(© 2022. The Author(s).)
Databáze: MEDLINE
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