Cargando…

Geographical evolutionary pathway of global tuberculosis incidence trends

BACKGROUNDS: Tuberculosis (TB) remains a serious public health and human development problem, especially in developing countries. Despite the effectiveness of directly observed therapy, short course programs in reducing transmission and progression of TB, poverty reduction and socioeconomic developm...

Descripción completa

Detalles Bibliográficos
Autores principales: Lei, Yanhui, Wang, Jinfeng, Wang, Yang, Xu, Chengdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123998/
https://www.ncbi.nlm.nih.gov/pubmed/37095497
http://dx.doi.org/10.1186/s12889-023-15553-7
_version_ 1785029761730347008
author Lei, Yanhui
Wang, Jinfeng
Wang, Yang
Xu, Chengdong
author_facet Lei, Yanhui
Wang, Jinfeng
Wang, Yang
Xu, Chengdong
author_sort Lei, Yanhui
collection PubMed
description BACKGROUNDS: Tuberculosis (TB) remains a serious public health and human development problem, especially in developing countries. Despite the effectiveness of directly observed therapy, short course programs in reducing transmission and progression of TB, poverty reduction and socioeconomic development remain crucial factors in decreasing TB incidence. However, the geographical pathway on the planet is not yet clear. OBJECTIVES: This study was to reconstruct the geographical evolutionary process of TB in 173 countries and territories from 2010 to 2019 to analyze the socioeconomic determinants that impact the global TB epidemic. In addition, the TB incidence in 2030 was predicted. METHODS: This study analyses TB incidence data from 173 countries and territories between 2010 and 2019. The Geotree model would be used to reconstruct the geographical evolutionary process of TB, which provides a simplified schema for geo-visualizing the trajectories of TB incidence and their socioeconomic drivers. Additionally, to estimate the future TB incidence in 2030, a multilevel model was utilized in conjunction with the hierarchical nature of the Geotree based on a stratified heterogeneity analysis. RESULTS: Global TB incidence was found to be associated with the country type and development stages. Between 2010 and 2019, the average TB incidence rate in 173 countries and territories was -27.48%, with marked spatially stratified heterogeneity by country type and development stage. Low-income and lower-middle-income countries were most vulnerable to TB. Upper-middle-income countries experienced a faster decline in TB incidence than high-income countries, and TB incidence generally decreased as the development stage increased, except for the lower-middle development stage in 2019.The highest average rate of decline in TB incidence was observed in the upper-middle development stage of high-income countries, with a reduction of 45.24%. Meanwhile, 37 high-income countries in the high development stage demonstrated an average rate of change of -13.93%. Socioeconomic determinants, including gross domestic product per capita, urbanization rate, and sociodemographic index, were found to inhibit TB incidence. Based on current trends, the predicted average global TB incidence in 2030 is 91.581 per 100,000 population. CONCLUSIONS: The trajectories of the global TB incidence have been reconstructed to formulate targeted public health responses. To eliminate TB, countries at similar development stage can draw on the experiences of countries at higher development stages that are tailored to their unique characteristics. By learning from successful TB control strategies, countries can take strategic steps toward eradicating TB and improving public health outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15553-7.
format Online
Article
Text
id pubmed-10123998
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-101239982023-04-25 Geographical evolutionary pathway of global tuberculosis incidence trends Lei, Yanhui Wang, Jinfeng Wang, Yang Xu, Chengdong BMC Public Health Research BACKGROUNDS: Tuberculosis (TB) remains a serious public health and human development problem, especially in developing countries. Despite the effectiveness of directly observed therapy, short course programs in reducing transmission and progression of TB, poverty reduction and socioeconomic development remain crucial factors in decreasing TB incidence. However, the geographical pathway on the planet is not yet clear. OBJECTIVES: This study was to reconstruct the geographical evolutionary process of TB in 173 countries and territories from 2010 to 2019 to analyze the socioeconomic determinants that impact the global TB epidemic. In addition, the TB incidence in 2030 was predicted. METHODS: This study analyses TB incidence data from 173 countries and territories between 2010 and 2019. The Geotree model would be used to reconstruct the geographical evolutionary process of TB, which provides a simplified schema for geo-visualizing the trajectories of TB incidence and their socioeconomic drivers. Additionally, to estimate the future TB incidence in 2030, a multilevel model was utilized in conjunction with the hierarchical nature of the Geotree based on a stratified heterogeneity analysis. RESULTS: Global TB incidence was found to be associated with the country type and development stages. Between 2010 and 2019, the average TB incidence rate in 173 countries and territories was -27.48%, with marked spatially stratified heterogeneity by country type and development stage. Low-income and lower-middle-income countries were most vulnerable to TB. Upper-middle-income countries experienced a faster decline in TB incidence than high-income countries, and TB incidence generally decreased as the development stage increased, except for the lower-middle development stage in 2019.The highest average rate of decline in TB incidence was observed in the upper-middle development stage of high-income countries, with a reduction of 45.24%. Meanwhile, 37 high-income countries in the high development stage demonstrated an average rate of change of -13.93%. Socioeconomic determinants, including gross domestic product per capita, urbanization rate, and sociodemographic index, were found to inhibit TB incidence. Based on current trends, the predicted average global TB incidence in 2030 is 91.581 per 100,000 population. CONCLUSIONS: The trajectories of the global TB incidence have been reconstructed to formulate targeted public health responses. To eliminate TB, countries at similar development stage can draw on the experiences of countries at higher development stages that are tailored to their unique characteristics. By learning from successful TB control strategies, countries can take strategic steps toward eradicating TB and improving public health outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15553-7. BioMed Central 2023-04-24 /pmc/articles/PMC10123998/ /pubmed/37095497 http://dx.doi.org/10.1186/s12889-023-15553-7 Text en © The Author(s) 2023 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
Lei, Yanhui
Wang, Jinfeng
Wang, Yang
Xu, Chengdong
Geographical evolutionary pathway of global tuberculosis incidence trends
title Geographical evolutionary pathway of global tuberculosis incidence trends
title_full Geographical evolutionary pathway of global tuberculosis incidence trends
title_fullStr Geographical evolutionary pathway of global tuberculosis incidence trends
title_full_unstemmed Geographical evolutionary pathway of global tuberculosis incidence trends
title_short Geographical evolutionary pathway of global tuberculosis incidence trends
title_sort geographical evolutionary pathway of global tuberculosis incidence trends
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123998/
https://www.ncbi.nlm.nih.gov/pubmed/37095497
http://dx.doi.org/10.1186/s12889-023-15553-7
work_keys_str_mv AT leiyanhui geographicalevolutionarypathwayofglobaltuberculosisincidencetrends
AT wangjinfeng geographicalevolutionarypathwayofglobaltuberculosisincidencetrends
AT wangyang geographicalevolutionarypathwayofglobaltuberculosisincidencetrends
AT xuchengdong geographicalevolutionarypathwayofglobaltuberculosisincidencetrends