Epidemiological characteristics analysis and incidence trend prediction of gonorrhea in Hubei Province in 2010-2021
10.3969/j.issn.1006-2483.2022.04.015
- VernacularTitle:2010—2021年湖北省淋病流行特征分析及发病趋势预测
- Author:
Peng ZHANG
1
;
Jing CAI
1
;
Shuqiong HUANG
1
;
Ran WU
1
;
Mingyan LI
1
Author Information
1. Institute of Preventive Medicine Information of Hubei Provincial Center for Disease Control and Prevention , Wuhan , Hubei 430079 , China
- Publication Type:Journal Article
- Keywords:
Gonorrhea;
ARIMA model;
Epidemiological characteristics;
Prediction
- From:
Journal of Public Health and Preventive Medicine
2022;33(4):63-66
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the epidemiological characteristics and incidence trend of gonorrhea in Hubei Province, and to provide reference for scientific formulation of prevention and control measures. Methods Based on the surveillance data of gonorrhea from 2010 to 2021, three-way distribution and ARIMA model were used for data analysis and incidence prediction. Results From 2010 to 2021, the reported incidence rate fluctuated between 3.01/100 000-7.07/100 000, and the average annual reported incidence rate was 4.62/100 000. The reported incidence rate showed the characteristics of “first fall and then rise, and then fall and rise again”, and the peak incidence period was from June to December. The male to female ratio of reported cases was 5.78:1, and the number of reported cases in the age group of 20-39 years old accounted for 62.43% of the total number of cases. The reported cases were mainly housework and unemployed, farmers, and unknown occupation. The severity of the regional incidence was divided into 5 categories by the Q-type clustering, and the most serious category included Shennongjia Forest District, Huangshi City, and Wuhan City. The ARIMA model predicted the incidence rate to be in good agreement with the actual incidence rate, with a predicted number of 3 343 cases in 2022. Conclusion At present, gonorrhea in Hubei Province is still at a high prevalence level. There are obvious differences in gender, age, occupation, and regional distribution. The ARIMA model is suitable for predicting the incidence of gonorrhea, and it is predicted that the incidence will increase slightly in 2022.
