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Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018)
OBJECTIVE: To predict the trend of AIDS in specific age groups and to determine the objective population for AIDS screening, this study explored the three transmission routes and characterized each patient group using the APC model based on the whole, local, and immigrant populations in Zhejiang, Ch...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180133/ https://www.ncbi.nlm.nih.gov/pubmed/34090398 http://dx.doi.org/10.1186/s12889-021-11050-x |
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author | Lu, Zhenzhen Ji, Weidong Yin, Yi Jin, Xinye Wang, Lu Li, Zhongjie Wang, Ning Wang, Kai Peng, Zhihang |
author_facet | Lu, Zhenzhen Ji, Weidong Yin, Yi Jin, Xinye Wang, Lu Li, Zhongjie Wang, Ning Wang, Kai Peng, Zhihang |
author_sort | Lu, Zhenzhen |
collection | PubMed |
description | OBJECTIVE: To predict the trend of AIDS in specific age groups and to determine the objective population for AIDS screening, this study explored the three transmission routes and characterized each patient group using the APC model based on the whole, local, and immigrant populations in Zhejiang, China. METHODS: The data recruited in this paper was obtained from the national Comprehensive AIDS Prevention and Control Information System - Antiviral Therapy Management database and the Chinese Disease Prevention and Control Information System and the Statistical Yearbook of Zhejiang, China. An APC model was used to estimate the impact of age, period, and cohort on the incidence of AIDS, as well as to predict the AIDS incidence in specific age groups based on different sexes with different transmission routes. RESULTS: The AIDS incidence peaked in males aged 20–35 years; the incidence of males was higher than that of females due to the impact of period; obvious cohort effect was observed among the immigrants. In the whole and local populations, the incidences of males in all age groups and females in both the 35-year-old group and the whole age group were predicted to increase sharply in 5 years. In the immigrant population, the AIDS incidences in both sexes in all age groups were expected to increase significantly in 5 years. Under the influence of period, the incidence of AIDS via homosexual transmission in the whole population and the local population increased and remained stable after 2015. At the same time, the incidence of AIDS transmitted by homosexual and heterosexual routes in the immigrants also showed an increasing trend. CONCLUSIONS: The results elucidate that there are sex differences in AIDS incidence, and the incidence of AIDS through various transmission routes in all groups is predicted to exhibit an upward trend in the 5 years to come. Effective intervention strategies should be developed and implemented by the public health departments in Zhejiang to control the epidemic of AIDS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11050-x. |
format | Online Article Text |
id | pubmed-8180133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81801332021-06-07 Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018) Lu, Zhenzhen Ji, Weidong Yin, Yi Jin, Xinye Wang, Lu Li, Zhongjie Wang, Ning Wang, Kai Peng, Zhihang BMC Public Health Research Article OBJECTIVE: To predict the trend of AIDS in specific age groups and to determine the objective population for AIDS screening, this study explored the three transmission routes and characterized each patient group using the APC model based on the whole, local, and immigrant populations in Zhejiang, China. METHODS: The data recruited in this paper was obtained from the national Comprehensive AIDS Prevention and Control Information System - Antiviral Therapy Management database and the Chinese Disease Prevention and Control Information System and the Statistical Yearbook of Zhejiang, China. An APC model was used to estimate the impact of age, period, and cohort on the incidence of AIDS, as well as to predict the AIDS incidence in specific age groups based on different sexes with different transmission routes. RESULTS: The AIDS incidence peaked in males aged 20–35 years; the incidence of males was higher than that of females due to the impact of period; obvious cohort effect was observed among the immigrants. In the whole and local populations, the incidences of males in all age groups and females in both the 35-year-old group and the whole age group were predicted to increase sharply in 5 years. In the immigrant population, the AIDS incidences in both sexes in all age groups were expected to increase significantly in 5 years. Under the influence of period, the incidence of AIDS via homosexual transmission in the whole population and the local population increased and remained stable after 2015. At the same time, the incidence of AIDS transmitted by homosexual and heterosexual routes in the immigrants also showed an increasing trend. CONCLUSIONS: The results elucidate that there are sex differences in AIDS incidence, and the incidence of AIDS through various transmission routes in all groups is predicted to exhibit an upward trend in the 5 years to come. Effective intervention strategies should be developed and implemented by the public health departments in Zhejiang to control the epidemic of AIDS. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-11050-x. BioMed Central 2021-06-05 /pmc/articles/PMC8180133/ /pubmed/34090398 http://dx.doi.org/10.1186/s12889-021-11050-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Lu, Zhenzhen Ji, Weidong Yin, Yi Jin, Xinye Wang, Lu Li, Zhongjie Wang, Ning Wang, Kai Peng, Zhihang Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018) |
title | Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018) |
title_full | Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018) |
title_fullStr | Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018) |
title_full_unstemmed | Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018) |
title_short | Analysis on the trend of AIDS incidence in Zhejiang, China based on the age-period-cohort model (2004–2018) |
title_sort | analysis on the trend of aids incidence in zhejiang, china based on the age-period-cohort model (2004–2018) |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8180133/ https://www.ncbi.nlm.nih.gov/pubmed/34090398 http://dx.doi.org/10.1186/s12889-021-11050-x |
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