Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018.
<h4>Introduction</h4>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 di...
| Main Authors: | , , , , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
Public Library of Science (PLoS)
2021-01-01
|
| 叢編: | PLoS ONE |
| 在線閱讀: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249523&type=printable |
| _version_ | 1826554421389033472 |
|---|---|
| author | Isaiah Gwitira Norbert Karumazondo Munyaradzi Davis Shekede Charles Sandy Nicolas Siziba Joconiah Chirenda |
| author_facet | Isaiah Gwitira Norbert Karumazondo Munyaradzi Davis Shekede Charles Sandy Nicolas Siziba Joconiah Chirenda |
| author_sort | Isaiah Gwitira |
| collection | DOAJ |
| description | <h4>Introduction</h4>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.<h4>Methods</h4>In this study Getis-Ord Gi* 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.<h4>Results</h4>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.<h4>Conclusions and recommendations</h4>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). |
| first_indexed | 2024-12-20T23:23:40Z |
| format | Article |
| id | doaj.art-5e4a52732db44c88924fad0ddfc5c147 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2025-03-14T07:40:39Z |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-5e4a52732db44c88924fad0ddfc5c1472025-03-03T05:35:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01164e024952310.1371/journal.pone.0249523Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018.Isaiah GwitiraNorbert KarumazondoMunyaradzi Davis ShekedeCharles SandyNicolas SizibaJoconiah Chirenda<h4>Introduction</h4>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.<h4>Methods</h4>In this study Getis-Ord Gi* 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.<h4>Results</h4>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.<h4>Conclusions and recommendations</h4>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).https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249523&type=printable |
| spellingShingle | Isaiah Gwitira Norbert Karumazondo Munyaradzi Davis Shekede Charles Sandy Nicolas Siziba Joconiah Chirenda Spatial patterns of pulmonary tuberculosis (TB) cases in Zimbabwe from 2015 to 2018. PLoS ONE |
| 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 |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249523&type=printable |
| work_keys_str_mv | AT isaiahgwitira spatialpatternsofpulmonarytuberculosistbcasesinzimbabwefrom2015to2018 AT norbertkarumazondo spatialpatternsofpulmonarytuberculosistbcasesinzimbabwefrom2015to2018 AT munyaradzidavisshekede spatialpatternsofpulmonarytuberculosistbcasesinzimbabwefrom2015to2018 AT charlessandy spatialpatternsofpulmonarytuberculosistbcasesinzimbabwefrom2015to2018 AT nicolassiziba spatialpatternsofpulmonarytuberculosistbcasesinzimbabwefrom2015to2018 AT joconiahchirenda spatialpatternsofpulmonarytuberculosistbcasesinzimbabwefrom2015to2018 |