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Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020
SIMPLE SUMMARY: This retrospective study was conducted to describe and analyze spatiotemporal patterns of tuberculosis (TB) incidence at provincial level of Thailand. TB notification data from 2011 to 2020 were obtained from the surveillance reporting system of the Bureau of Epidemiology, Department...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138531/ https://www.ncbi.nlm.nih.gov/pubmed/35625483 http://dx.doi.org/10.3390/biology11050755 |
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author | Chinpong, Kawin Thavornwattana, Kaewklao Armatrmontree, Peerawich Chienwichai, Peerut Lawpoolsri, Saranath Silachamroon, Udomsak Maude, Richard J. Rotejanaprasert, Chawarat |
author_facet | Chinpong, Kawin Thavornwattana, Kaewklao Armatrmontree, Peerawich Chienwichai, Peerut Lawpoolsri, Saranath Silachamroon, Udomsak Maude, Richard J. Rotejanaprasert, Chawarat |
author_sort | Chinpong, Kawin |
collection | PubMed |
description | SIMPLE SUMMARY: This retrospective study was conducted to describe and analyze spatiotemporal patterns of tuberculosis (TB) incidence at provincial level of Thailand. TB notification data from 2011 to 2020 were obtained from the surveillance reporting system of the Bureau of Epidemiology, Department of Disease Control, Ministry of Public Health. Time series and clustering patterns of the occurrence were assessed by using time series and spatial analyses. The findings indicated temporal trends and clusters of the disease occurred in the study area. More specifically, there was an overall decreasing trend, and significantly high-rate clusters were mostly along the border of neighboring countries. ABSTRACT: Tuberculosis is a leading cause of infectious disease globally, especially in developing countries. Better knowledge of spatial and temporal patterns of tuberculosis burden is important for effective control programs as well as informing resource and budget allocation. Studies have demonstrated that TB exhibits highly complex dynamics in both spatial and temporal dimensions at different levels. In Thailand, TB research has been primarily focused on surveys and clinical aspects of the disease burden with little attention on spatiotemporal heterogeneity. This study aimed to describe temporal trends and spatial patterns of TB incidence and mortality in Thailand from 2011 to 2020. Monthly TB case and death notification data were aggregated at the provincial level. Age-standardized incidence and mortality were calculated; time series and global and local clustering analyses were performed for the whole country. There was an overall decreasing trend with seasonal peaks in the winter. There was spatial heterogeneity with disease clusters in many regions, especially along international borders, suggesting that population movement and socioeconomic variables might affect the spatiotemporal distribution in Thailand. Understanding the space-time distribution of TB is useful for planning targeted disease control program activities. This is particularly important in low- and middle-income countries including Thailand to help prioritize allocation of limited resources. |
format | Online Article Text |
id | pubmed-9138531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91385312022-05-28 Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020 Chinpong, Kawin Thavornwattana, Kaewklao Armatrmontree, Peerawich Chienwichai, Peerut Lawpoolsri, Saranath Silachamroon, Udomsak Maude, Richard J. Rotejanaprasert, Chawarat Biology (Basel) Article SIMPLE SUMMARY: This retrospective study was conducted to describe and analyze spatiotemporal patterns of tuberculosis (TB) incidence at provincial level of Thailand. TB notification data from 2011 to 2020 were obtained from the surveillance reporting system of the Bureau of Epidemiology, Department of Disease Control, Ministry of Public Health. Time series and clustering patterns of the occurrence were assessed by using time series and spatial analyses. The findings indicated temporal trends and clusters of the disease occurred in the study area. More specifically, there was an overall decreasing trend, and significantly high-rate clusters were mostly along the border of neighboring countries. ABSTRACT: Tuberculosis is a leading cause of infectious disease globally, especially in developing countries. Better knowledge of spatial and temporal patterns of tuberculosis burden is important for effective control programs as well as informing resource and budget allocation. Studies have demonstrated that TB exhibits highly complex dynamics in both spatial and temporal dimensions at different levels. In Thailand, TB research has been primarily focused on surveys and clinical aspects of the disease burden with little attention on spatiotemporal heterogeneity. This study aimed to describe temporal trends and spatial patterns of TB incidence and mortality in Thailand from 2011 to 2020. Monthly TB case and death notification data were aggregated at the provincial level. Age-standardized incidence and mortality were calculated; time series and global and local clustering analyses were performed for the whole country. There was an overall decreasing trend with seasonal peaks in the winter. There was spatial heterogeneity with disease clusters in many regions, especially along international borders, suggesting that population movement and socioeconomic variables might affect the spatiotemporal distribution in Thailand. Understanding the space-time distribution of TB is useful for planning targeted disease control program activities. This is particularly important in low- and middle-income countries including Thailand to help prioritize allocation of limited resources. MDPI 2022-05-16 /pmc/articles/PMC9138531/ /pubmed/35625483 http://dx.doi.org/10.3390/biology11050755 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chinpong, Kawin Thavornwattana, Kaewklao Armatrmontree, Peerawich Chienwichai, Peerut Lawpoolsri, Saranath Silachamroon, Udomsak Maude, Richard J. Rotejanaprasert, Chawarat Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020 |
title | Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020 |
title_full | Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020 |
title_fullStr | Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020 |
title_full_unstemmed | Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020 |
title_short | Spatiotemporal Epidemiology of Tuberculosis in Thailand from 2011 to 2020 |
title_sort | spatiotemporal epidemiology of tuberculosis in thailand from 2011 to 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9138531/ https://www.ncbi.nlm.nih.gov/pubmed/35625483 http://dx.doi.org/10.3390/biology11050755 |
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