Epidemiological characteristics and the incidence trend prediction of measles in Hubei Province, 2005-2018
10.3969/j.issn.1006-2483.2020.02.010
- VernacularTitle:2005-2018年湖北省麻疹流行病学特征及发病趋势预测
- Author:
Jing CAI
1
;
Shuqiong HUANG
1
;
Peng ZHANG
1
;
Wenwen YANG
1
Author Information
1. Institute of Preventive Medicine Information, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
- Publication Type:Journal Article
- Keywords:
Measles;
Epidemiological characteristics;
Incidence trend;
Hubei Province
- From:
Journal of Public Health and Preventive Medicine
2020;31(2):42-45
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the epidemiological characteristics of measles, predict the incidence trend of the disease, and provide reference for the development of measles prevention and elimination strategies. Methods Descriptive analysis, seasonal index method, clustering analysis and ARIMA model were used for data analysis and trend prediction. Results The average annual incidence of measles in 2005-2018 was 3.01/100,000. It was at a low level after 2009, and rebounded in 2018. The seasonal index of March-June was greater than 1, which was the month of high incidence. The incidence of men was higher than that of women. The 0-3 years old and 10-30 years old groups had a high incidence, and the population was mainly scattered children, students, and nursery children. The areas with high incidence were mainly northwestern and southeastern Hubei. ARIMA (0,1,0) (0,1,1) was the optimal model. The prediction analysis showed that the incidence rate in 2019 will be 1.26/100 000. Conclusion After the implementation of booster immunization, the measles epidemic in Hubei Province was at a low level, but it fluctuated greatly in recent years and is currently showing a rising trend. The incidence was high in spring. Cases were "biphasic shift" in groups 0-3 years old and 10-30 years old. Occupational distribution was consistent with the characteristics of high incidence in the age group. The mountain areas with poor sanitary conditions and economic backwardness, and regions with large population bases and high floating populations had a high incidence. The ARIMA model had good applicability in predicting the trend of measles incidence, which shows measles will continue to rise in 2019.
