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High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey

BACKGROUND: Reproductive tract infections (RTIs) have become major but silent public health problems devastating women’s lives in Bangladesh. Accurately and precisely identifying high-risk areas of RTIs through high-resolution risk maps is meaningful for resource-limited settings. METHODS: We obtain...

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Autores principales: Feng, Chenyang, Li, Ruixue, Shamim, Abu Ahmed, Ullah, Md Barkat, Li, Mengjie, Dev, Rubee, Wang, Yijing, Zhao, Tingting, Liao, Jing, Du, Zhicheng, Ling, Yuheng, Lai, Yingsi, Hao, Yuantao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881647/
https://www.ncbi.nlm.nih.gov/pubmed/33579253
http://dx.doi.org/10.1186/s12889-021-10360-4
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author Feng, Chenyang
Li, Ruixue
Shamim, Abu Ahmed
Ullah, Md Barkat
Li, Mengjie
Dev, Rubee
Wang, Yijing
Zhao, Tingting
Liao, Jing
Du, Zhicheng
Ling, Yuheng
Lai, Yingsi
Hao, Yuantao
author_facet Feng, Chenyang
Li, Ruixue
Shamim, Abu Ahmed
Ullah, Md Barkat
Li, Mengjie
Dev, Rubee
Wang, Yijing
Zhao, Tingting
Liao, Jing
Du, Zhicheng
Ling, Yuheng
Lai, Yingsi
Hao, Yuantao
author_sort Feng, Chenyang
collection PubMed
description BACKGROUND: Reproductive tract infections (RTIs) have become major but silent public health problems devastating women’s lives in Bangladesh. Accurately and precisely identifying high-risk areas of RTIs through high-resolution risk maps is meaningful for resource-limited settings. METHODS: We obtained data reported with RTI symptoms by women of childbearing age in the years 2007, 2011 and 2014 from Bangladesh Demographic and Health Survey. High-spatial Environmental, socio-economic and demographic layers were downloaded from different open-access data sources. We applied Bayesian spatial-temporal models to identify important influencing factors and to estimate the infection risk at 5 km spatial resolution across survey years in Bangladesh. RESULTS: We estimated that in Bangladesh, there were approximate 11.1% (95% Bayesian credible interval, BCI: 10.5–11.7%), 13.9% (95% BCI: 13.3–14.5%) and 13.4% (95% BCI: 12.8–14.0%) of women of childbearing age reported with RTI symptoms in 2007, 2011 and 2014, respectively. The risk of most areas shows an obvious increase from 2007 to 2011, then became stable between 2011 and 2014. High risk areas were identified in the southern coastal areas, the western Rajshahi Division, the middle of Khulna Division, and the southwestern Chittagong Division in 2014. The prevalence of Rajshahi and Nawabganj District were increasing during all the survey years. CONCLUSION: The high-resolution risk maps of RTIs we produced can guide the control strategies targeted to priority areas cost-effectively. More than one eighth of women of childbearing age reported symptoms suggesting RTIs and the risk of RTIs varies in different geographical area, urging the government to pay more attention to the worrying situation of female RTIs in the country. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10360-4.
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spelling pubmed-78816472021-02-17 High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey Feng, Chenyang Li, Ruixue Shamim, Abu Ahmed Ullah, Md Barkat Li, Mengjie Dev, Rubee Wang, Yijing Zhao, Tingting Liao, Jing Du, Zhicheng Ling, Yuheng Lai, Yingsi Hao, Yuantao BMC Public Health Research Article BACKGROUND: Reproductive tract infections (RTIs) have become major but silent public health problems devastating women’s lives in Bangladesh. Accurately and precisely identifying high-risk areas of RTIs through high-resolution risk maps is meaningful for resource-limited settings. METHODS: We obtained data reported with RTI symptoms by women of childbearing age in the years 2007, 2011 and 2014 from Bangladesh Demographic and Health Survey. High-spatial Environmental, socio-economic and demographic layers were downloaded from different open-access data sources. We applied Bayesian spatial-temporal models to identify important influencing factors and to estimate the infection risk at 5 km spatial resolution across survey years in Bangladesh. RESULTS: We estimated that in Bangladesh, there were approximate 11.1% (95% Bayesian credible interval, BCI: 10.5–11.7%), 13.9% (95% BCI: 13.3–14.5%) and 13.4% (95% BCI: 12.8–14.0%) of women of childbearing age reported with RTI symptoms in 2007, 2011 and 2014, respectively. The risk of most areas shows an obvious increase from 2007 to 2011, then became stable between 2011 and 2014. High risk areas were identified in the southern coastal areas, the western Rajshahi Division, the middle of Khulna Division, and the southwestern Chittagong Division in 2014. The prevalence of Rajshahi and Nawabganj District were increasing during all the survey years. CONCLUSION: The high-resolution risk maps of RTIs we produced can guide the control strategies targeted to priority areas cost-effectively. More than one eighth of women of childbearing age reported symptoms suggesting RTIs and the risk of RTIs varies in different geographical area, urging the government to pay more attention to the worrying situation of female RTIs in the country. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-10360-4. BioMed Central 2021-02-12 /pmc/articles/PMC7881647/ /pubmed/33579253 http://dx.doi.org/10.1186/s12889-021-10360-4 Text en © The Author(s) 2021 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/. The Creative Commons Public Domain Dedication waiver (http://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
Feng, Chenyang
Li, Ruixue
Shamim, Abu Ahmed
Ullah, Md Barkat
Li, Mengjie
Dev, Rubee
Wang, Yijing
Zhao, Tingting
Liao, Jing
Du, Zhicheng
Ling, Yuheng
Lai, Yingsi
Hao, Yuantao
High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey
title High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey
title_full High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey
title_fullStr High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey
title_full_unstemmed High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey
title_short High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey
title_sort high-resolution mapping of reproductive tract infections among women of childbearing age in bangladesh: a spatial-temporal analysis of the demographic and health survey
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7881647/
https://www.ncbi.nlm.nih.gov/pubmed/33579253
http://dx.doi.org/10.1186/s12889-021-10360-4
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