Spatial and space-time clustering of tuberculosis in Gurage Zone, Southern Ethiopia
Spatial targeting is advocated as an effective method that contributes for achieving tuberculosis control in high-burden countries. However, there is a paucity of studies clarifying the spatial nature of the disease in these countries. This study aims to identify the location, size and risk of purel...
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| Veröffentlicht in: | PloS one 2018-06, Vol.13 (6), p.e0198353-e0198353 |
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| description | Spatial targeting is advocated as an effective method that contributes for achieving tuberculosis control in high-burden countries. However, there is a paucity of studies clarifying the spatial nature of the disease in these countries. This study aims to identify the location, size and risk of purely spatial and space-time clusters for high occurrence of tuberculosis in Gurage Zone, Southern Ethiopia during 2007 to 2016.
A total of 15,805 patient data that were retrieved from unit TB registers were included in the final analyses. The spatial and space-time cluster analyses were performed using the global Moran's I, Getis-Ord [Formula: see text] and Kulldorff's scan statistics.
Eleven purely spatial and three space-time clusters were detected (P |
| doi_str_mv | 10.1371/journal.pone.0198353 |
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A total of 15,805 patient data that were retrieved from unit TB registers were included in the final analyses. The spatial and space-time cluster analyses were performed using the global Moran's I, Getis-Ord [Formula: see text] and Kulldorff's scan statistics.
Eleven purely spatial and three space-time clusters were detected (P <0.001).The clusters were concentrated in border areas of the Gurage Zone. There were considerable spatial variations in the risk of tuberculosis by year during the study period.
This study showed that tuberculosis clusters were mainly concentrated at border areas of the Gurage Zone during the study period, suggesting that there has been sustained transmission of the disease within these locations. The findings may help intensify the implementation of tuberculosis control activities in these locations. Further study is warranted to explore the roles of various ecological factors on the observed spatial distribution of tuberculosis.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0198353</identifier><identifier>PMID: 29870539</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Censuses ; Clustering ; Control ; Disease ; Disease transmission ; Ecological monitoring ; Ethiopia - epidemiology ; Geography ; Health facilities ; Health sciences ; Hospitals ; Humans ; Medical diagnosis ; Medicine and Health Sciences ; Patients ; People and Places ; Physical Sciences ; Population ; Public health ; Recurrence (Disease) ; Registries ; Research and Analysis Methods ; Risk factors ; Rural areas ; Space-Time Clustering ; Spacetime ; Spatial analysis ; Spatial distribution ; Spatial variations ; Spatio-Temporal Analysis ; Tuberculosis ; Tuberculosis - epidemiology ; Tuberculosis - transmission</subject><ispartof>PloS one, 2018-06, Vol.13 (6), p.e0198353-e0198353</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Tadesse et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Tadesse et al 2018 Tadesse et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-fe0e537541ad2b751c20032681fdd56c49985be818ae5b5c17f5d81fb045adbe3</citedby><cites>FETCH-LOGICAL-c692t-fe0e537541ad2b751c20032681fdd56c49985be818ae5b5c17f5d81fb045adbe3</cites><orcidid>0000-0002-9153-5400</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988276/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5988276/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29870539$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tadesse, Sebsibe</creatorcontrib><creatorcontrib>Enqueselassie, Fikre</creatorcontrib><creatorcontrib>Hagos, Seifu</creatorcontrib><title>Spatial and space-time clustering of tuberculosis in Gurage Zone, Southern Ethiopia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Spatial targeting is advocated as an effective method that contributes for achieving tuberculosis control in high-burden countries. However, there is a paucity of studies clarifying the spatial nature of the disease in these countries. This study aims to identify the location, size and risk of purely spatial and space-time clusters for high occurrence of tuberculosis in Gurage Zone, Southern Ethiopia during 2007 to 2016.
A total of 15,805 patient data that were retrieved from unit TB registers were included in the final analyses. The spatial and space-time cluster analyses were performed using the global Moran's I, Getis-Ord [Formula: see text] and Kulldorff's scan statistics.
Eleven purely spatial and three space-time clusters were detected (P <0.001).The clusters were concentrated in border areas of the Gurage Zone. There were considerable spatial variations in the risk of tuberculosis by year during the study period.
This study showed that tuberculosis clusters were mainly concentrated at border areas of the Gurage Zone during the study period, suggesting that there has been sustained transmission of the disease within these locations. The findings may help intensify the implementation of tuberculosis control activities in these locations. Further study is warranted to explore the roles of various ecological factors on the observed spatial distribution of tuberculosis.</description><subject>Censuses</subject><subject>Clustering</subject><subject>Control</subject><subject>Disease</subject><subject>Disease transmission</subject><subject>Ecological monitoring</subject><subject>Ethiopia - epidemiology</subject><subject>Geography</subject><subject>Health facilities</subject><subject>Health sciences</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Medical diagnosis</subject><subject>Medicine and Health Sciences</subject><subject>Patients</subject><subject>People and Places</subject><subject>Physical Sciences</subject><subject>Population</subject><subject>Public health</subject><subject>Recurrence (Disease)</subject><subject>Registries</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>Rural areas</subject><subject>Space-Time Clustering</subject><subject>Spacetime</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Spatial variations</subject><subject>Spatio-Temporal Analysis</subject><subject>Tuberculosis</subject><subject>Tuberculosis - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tadesse, Sebsibe</au><au>Enqueselassie, Fikre</au><au>Hagos, Seifu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial and space-time clustering of tuberculosis in Gurage Zone, Southern Ethiopia</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-06-05</date><risdate>2018</risdate><volume>13</volume><issue>6</issue><spage>e0198353</spage><epage>e0198353</epage><pages>e0198353-e0198353</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Spatial targeting is advocated as an effective method that contributes for achieving tuberculosis control in high-burden countries. However, there is a paucity of studies clarifying the spatial nature of the disease in these countries. This study aims to identify the location, size and risk of purely spatial and space-time clusters for high occurrence of tuberculosis in Gurage Zone, Southern Ethiopia during 2007 to 2016.
A total of 15,805 patient data that were retrieved from unit TB registers were included in the final analyses. The spatial and space-time cluster analyses were performed using the global Moran's I, Getis-Ord [Formula: see text] and Kulldorff's scan statistics.
Eleven purely spatial and three space-time clusters were detected (P <0.001).The clusters were concentrated in border areas of the Gurage Zone. There were considerable spatial variations in the risk of tuberculosis by year during the study period.
This study showed that tuberculosis clusters were mainly concentrated at border areas of the Gurage Zone during the study period, suggesting that there has been sustained transmission of the disease within these locations. The findings may help intensify the implementation of tuberculosis control activities in these locations. Further study is warranted to explore the roles of various ecological factors on the observed spatial distribution of tuberculosis.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29870539</pmid><doi>10.1371/journal.pone.0198353</doi><tpages>e0198353</tpages><orcidid>https://orcid.org/0000-0002-9153-5400</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Censuses Clustering Control Disease Disease transmission Ecological monitoring Ethiopia - epidemiology Geography Health facilities Health sciences Hospitals Humans Medical diagnosis Medicine and Health Sciences Patients People and Places Physical Sciences Population Public health Recurrence (Disease) Registries Research and Analysis Methods Risk factors Rural areas Space-Time Clustering Spacetime Spatial analysis Spatial distribution Spatial variations Spatio-Temporal Analysis Tuberculosis Tuberculosis - epidemiology Tuberculosis - transmission |
| title | Spatial and space-time clustering of tuberculosis in Gurage Zone, Southern Ethiopia |
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