Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, Yunnan, China.
Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, China.
Hum Vaccin Immunother. 2023 Aug;19(2):2256907. doi: 10.1080/21645515.2023.2256907. Epub 2023 Oct 9.
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, < .001). The incidence of gonorrhea in China was negatively correlated with GDP from 2004 to 2021 ( = -0.547, = .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 ( < .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.
为了解中国淋病 2004-2021 年的流行趋势,预测疾病流行情况,为淋病监测和管理提供基础理论和数据支持。通过中国公共卫生科学数据中心和国家疾病预防控制局收集中国 2004-2021 年淋病发病率数据,分析发病率及流行病学特征。采用 Joinpoint 和自回归积分移动平均(ARIMA)模型进行统计学分析。采用线性相关模型分析国内生产总值(GDP)与发病率的相关性。结果显示,2004-2021 年中国共报告淋病 228.9435 万例,报告发病率平均为 9.46/10 万,呈先下降后上升的趋势。淋病患者以 20-30 岁年龄组为主,2004-2018 年共报告 103.4847 万例(53.38%)。发病率上升趋势最明显的是 10-20 岁年龄组(2004 年 5811 例,2018 年 12752 例,APC=6.1, < .001)。2004-2021 年中国淋病发病率与 GDP 呈负相关( = -0.547, = .019)。2012-2018 年各地区平均发病率增长率与地区 GDP 平均增长率的相关系数为 0.673( < .01)。ARIMA 模型的均方根误差(RMSE)为 4.89%,表现出强大的性能。模型预测 2023 年将有 97910 例淋病。