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Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018
INTRODUCTION: Accurate mapping of spatial heterogeneity in tuberculosis (TB) cases is critical for achieving high impact control as well as guide resource allocation in most developing countries. The main aim of this study was to explore the spatial patterns of TB occurrence at district level in Zim...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031317/ https://www.ncbi.nlm.nih.gov/pubmed/33831058 http://dx.doi.org/10.1371/journal.pone.0249523 |
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author | Gwitira, Isaiah Karumazondo, Norbert Shekede, Munyaradzi Davis Sandy, Charles Siziba, Nicolas Chirenda, Joconiah |
author_facet | Gwitira, Isaiah Karumazondo, Norbert Shekede, Munyaradzi Davis Sandy, Charles Siziba, Nicolas Chirenda, Joconiah |
author_sort | Gwitira, Isaiah |
collection | PubMed |
description | INTRODUCTION: Accurate mapping of spatial heterogeneity in tuberculosis (TB) cases is critical for achieving high impact control as well as guide resource allocation in most developing countries. The main aim of this study was to explore the spatial patterns of TB occurrence at district level in Zimbabwe from 2015 to 2018 using GIS and spatial statistics as a preamble to identifying areas with elevated risk for prioritisation of control and intervention measures. METHODS: In this study Getis-Ord G(i)* statistics together with SaTscan were used to characterise TB hotspots and clusters in Zimbabwe at district level from 2015 to 2018. GIS software was used to map and visualise the results of cluster analysis. RESULTS: Results show that TB occurrence exhibits spatial heterogeneity across the country. The TB hotspots were detected in the central, western and southern part of the country. These areas are characterised by artisanal mining activities as well as high poverty levels. CONCLUSIONS AND RECOMMENDATIONS: Results of this study are useful to guide TB control programs and design effective strategies which are important in achieving the United Nations Sustainable Development goals (UNSDGs). |
format | Online Article Text |
id | pubmed-8031317 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-80313172021-04-14 Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018 Gwitira, Isaiah Karumazondo, Norbert Shekede, Munyaradzi Davis Sandy, Charles Siziba, Nicolas Chirenda, Joconiah PLoS One Research Article INTRODUCTION: Accurate mapping of spatial heterogeneity in tuberculosis (TB) cases is critical for achieving high impact control as well as guide resource allocation in most developing countries. The main aim of this study was to explore the spatial patterns of TB occurrence at district level in Zimbabwe from 2015 to 2018 using GIS and spatial statistics as a preamble to identifying areas with elevated risk for prioritisation of control and intervention measures. METHODS: In this study Getis-Ord G(i)* statistics together with SaTscan were used to characterise TB hotspots and clusters in Zimbabwe at district level from 2015 to 2018. GIS software was used to map and visualise the results of cluster analysis. RESULTS: Results show that TB occurrence exhibits spatial heterogeneity across the country. The TB hotspots were detected in the central, western and southern part of the country. These areas are characterised by artisanal mining activities as well as high poverty levels. CONCLUSIONS AND RECOMMENDATIONS: Results of this study are useful to guide TB control programs and design effective strategies which are important in achieving the United Nations Sustainable Development goals (UNSDGs). Public Library of Science 2021-04-08 /pmc/articles/PMC8031317/ /pubmed/33831058 http://dx.doi.org/10.1371/journal.pone.0249523 Text en © 2021 Gwitira et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Gwitira, Isaiah Karumazondo, Norbert Shekede, Munyaradzi Davis Sandy, Charles Siziba, Nicolas Chirenda, Joconiah Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018 |
title | Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018 |
title_full | Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018 |
title_fullStr | Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018 |
title_full_unstemmed | Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018 |
title_short | Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018 |
title_sort | spatial patterns of pulmonary tuberculosis (tb) cases in zimbabwe from 2015 to 2018 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8031317/ https://www.ncbi.nlm.nih.gov/pubmed/33831058 http://dx.doi.org/10.1371/journal.pone.0249523 |
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