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Analysis and prediction of the incidence and prevalence trends of gonorrhea in China
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563614/ https://www.ncbi.nlm.nih.gov/pubmed/37807860 http://dx.doi.org/10.1080/21645515.2023.2256907 |
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author | Chen, Xueya Chen, Shaochun Li, Chuanyin Shi, Li Zhu, Yongzhang Yao, Yufeng |
author_facet | Chen, Xueya Chen, Shaochun Li, Chuanyin Shi, Li Zhu, Yongzhang Yao, Yufeng |
author_sort | Chen, Xueya |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10563614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-105636142023-10-11 Analysis and prediction of the incidence and prevalence trends of gonorrhea in China Chen, Xueya Chen, Shaochun Li, Chuanyin Shi, Li Zhu, Yongzhang Yao, Yufeng Hum Vaccin Immunother Novel Vaccines 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. Taylor & Francis 2023-10-09 /pmc/articles/PMC10563614/ /pubmed/37807860 http://dx.doi.org/10.1080/21645515.2023.2256907 Text en © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Novel Vaccines Chen, Xueya Chen, Shaochun Li, Chuanyin Shi, Li Zhu, Yongzhang Yao, Yufeng Analysis and prediction of the incidence and prevalence trends of gonorrhea in China |
title | Analysis and prediction of the incidence and prevalence trends of gonorrhea in China |
title_full | Analysis and prediction of the incidence and prevalence trends of gonorrhea in China |
title_fullStr | Analysis and prediction of the incidence and prevalence trends of gonorrhea in China |
title_full_unstemmed | Analysis and prediction of the incidence and prevalence trends of gonorrhea in China |
title_short | Analysis and prediction of the incidence and prevalence trends of gonorrhea in China |
title_sort | analysis and prediction of the incidence and prevalence trends of gonorrhea in china |
topic | Novel Vaccines |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10563614/ https://www.ncbi.nlm.nih.gov/pubmed/37807860 http://dx.doi.org/10.1080/21645515.2023.2256907 |
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