Analysis and prediction of the incidence and prevalence trends of gonorrhea in China

• Published in: Human vaccines & immunotherapeutics Vol. 19; no. 2; p. 2256907
• Main Authors: Chen, Xueya, Chen, Shaochun, Li, Chuanyin, Shi, Li, Zhu, Yongzhang, Yao, Yufeng
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 01.08.2023; Taylor & Francis Group
• Subjects: ARIMA model; epidemiological trend; GDP; Gonorrhea; Novel Vaccines; predict
• DOI: 10.1080/21645515.2023.2256907
• ISSN: 2164-5515

To understand the epidemiological trend of gonorrhea in China from 2004 to 2021, predict the prevalence of the disease, and provide basic theory and data support for monitoring and managing gonorrhea. Gonorrhea incidence data in China from 2004 to 2021 were collected through the China Public Health Science Data Center and National Administration of Disease Prevention and Control, and the incidence and epidemiological characteristics were analyzed. Statistical analysis was performed using Joinpoint and autoregressive integrated moving average (ARIMA) models. A linear correlation model was used to analyze the correlation between gross domestic product (GDP) and the incidence rate. From 2004 to 2021, a total of 2,289,435 cases of gonorrhea were reported in China, with an average reported incidence rate of 9.46/100,000 people and a downward followed by an upward trend. Individuals with gonorrhea were primarily 20-30 y of age, with 1,034,847 cases (53.38%) from 2004 to 2018. The trend of increasing incidence was most obvious in the 10-20 age group (5,811 cases in 2004 to 12,752 cases in 2018, AAPC = 6.1, P < .001). The incidence of gonorrhea in China was negatively correlated with GDP from 2004 to 2021 (r = -0.547, P = .019). The correlation coefficient between the average incidence growth rate of each region from 2012 to 2018 and the average growth rate of regional GDP was 0.673 (P < .01). The root mean square error (RMSE) of the ARIMA model was 4.89%, showing powerful performance. There would be 97,910 gonorrhea cases in 2023 as predicted by the model.