Spatial heterogeneity in mass drug administration from a longitudinal epidemiological study assessing transmission interruption of soil transmitted helminths in the Wolaita zone of southern Ethiopia (Geshiyaro Project)
Deworming programmes of soil-transmitted helminths are generally monitored and evaluated by aggregating drug coverage and infection levels at a district level. However, heterogeneity in drug coverage at finer spatial scales means indicators may remain above thresholds for elimination as a public hea...
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| Veröffentlicht in: | PLoS neglected tropical diseases 2024-02, Vol.18 (2), p.e0011947-e0011947 |
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| creator | Rayment Gomez, Santiago Maddren, Rosie Liyew, Ewnetu Firdawek Chernet, Melkie Anjulo, Ufaysa Tamiru, Adugna Tollera, Getachew Tasew, Geremew Mengistu, Birhan Collyer, Benjamin Forbes, Kathryn Anderson, Roy |
| description | Deworming programmes of soil-transmitted helminths are generally monitored and evaluated by aggregating drug coverage and infection levels at a district level. However, heterogeneity in drug coverage at finer spatial scales means indicators may remain above thresholds for elimination as a public health problem or of transmission in some areas. This paper aims to highlight the misleading information that aggregating data at larger spatial scales can have for programme decision making.
Drug coverage data from the Geshiyaro project were compared at two spatial scales with reference to the World Health Organisation's targets. District (woreda) and village (kebele) level were compared. The association between infection levels and drug coverage was analysed by fitting a weighted least-squares function to the mean intensity of infection (eggs per gram of faeces) against drug coverage.
The data show clearly that when the evaluation of coverage is aggregated to the district level, information on heterogeneity at a finer spatial scale is lost. Infection intensity decreases significantly (p = 0.0023) with increasing drug coverage.
Aggregating data at large spatial scales can result in prematurely ceasing deworming, prompting rapid infection bounce-back. There is a strong need to define context-specific spatial scales for monitoring and evaluating intervention programmes. |
| doi_str_mv | 10.1371/journal.pntd.0011947 |
| format | Article |
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Drug coverage data from the Geshiyaro project were compared at two spatial scales with reference to the World Health Organisation's targets. District (woreda) and village (kebele) level were compared. The association between infection levels and drug coverage was analysed by fitting a weighted least-squares function to the mean intensity of infection (eggs per gram of faeces) against drug coverage.
The data show clearly that when the evaluation of coverage is aggregated to the district level, information on heterogeneity at a finer spatial scale is lost. Infection intensity decreases significantly (p = 0.0023) with increasing drug coverage.
Aggregating data at large spatial scales can result in prematurely ceasing deworming, prompting rapid infection bounce-back. There is a strong need to define context-specific spatial scales for monitoring and evaluating intervention programmes.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0011947</identifier><identifier>PMID: 38330143</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biometrics ; Census of Population ; Consent ; Decision making ; Design ; Drugs ; Epidemiology ; Heterogeneity ; Identification documents ; Infections ; Intervention ; Medicine and Health Sciences ; Patchiness ; People and Places ; Public health ; Research and Analysis Methods ; Spatial data ; Spatial heterogeneity ; Towns</subject><ispartof>PLoS neglected tropical diseases, 2024-02, Vol.18 (2), p.e0011947-e0011947</ispartof><rights>Copyright: © 2024 Rayment Gomez et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>2024 Rayment Gomez 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>2024 Rayment Gomez et al 2024 Rayment Gomez et al</rights><rights>2024 Rayment Gomez 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c476t-cf19e54d1f99023b38a85d6021b35d4bfcddfe2684887a7f8e386ba57e83b0693</cites><orcidid>0000-0001-7447-9091</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/PMC10880954/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10880954/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38330143$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Diemert, David Joseph</contributor><creatorcontrib>Rayment Gomez, Santiago</creatorcontrib><creatorcontrib>Maddren, Rosie</creatorcontrib><creatorcontrib>Liyew, Ewnetu Firdawek</creatorcontrib><creatorcontrib>Chernet, Melkie</creatorcontrib><creatorcontrib>Anjulo, Ufaysa</creatorcontrib><creatorcontrib>Tamiru, Adugna</creatorcontrib><creatorcontrib>Tollera, Getachew</creatorcontrib><creatorcontrib>Tasew, Geremew</creatorcontrib><creatorcontrib>Mengistu, Birhan</creatorcontrib><creatorcontrib>Collyer, Benjamin</creatorcontrib><creatorcontrib>Forbes, Kathryn</creatorcontrib><creatorcontrib>Anderson, Roy</creatorcontrib><title>Spatial heterogeneity in mass drug administration from a longitudinal epidemiological study assessing transmission interruption of soil transmitted helminths in the Wolaita zone of southern Ethiopia (Geshiyaro Project)</title><title>PLoS neglected tropical diseases</title><addtitle>PLoS Negl Trop Dis</addtitle><description>Deworming programmes of soil-transmitted helminths are generally monitored and evaluated by aggregating drug coverage and infection levels at a district level. However, heterogeneity in drug coverage at finer spatial scales means indicators may remain above thresholds for elimination as a public health problem or of transmission in some areas. This paper aims to highlight the misleading information that aggregating data at larger spatial scales can have for programme decision making.
Drug coverage data from the Geshiyaro project were compared at two spatial scales with reference to the World Health Organisation's targets. District (woreda) and village (kebele) level were compared. The association between infection levels and drug coverage was analysed by fitting a weighted least-squares function to the mean intensity of infection (eggs per gram of faeces) against drug coverage.
The data show clearly that when the evaluation of coverage is aggregated to the district level, information on heterogeneity at a finer spatial scale is lost. Infection intensity decreases significantly (p = 0.0023) with increasing drug coverage.
Aggregating data at large spatial scales can result in prematurely ceasing deworming, prompting rapid infection bounce-back. 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Gomez, Santiago</au><au>Maddren, Rosie</au><au>Liyew, Ewnetu Firdawek</au><au>Chernet, Melkie</au><au>Anjulo, Ufaysa</au><au>Tamiru, Adugna</au><au>Tollera, Getachew</au><au>Tasew, Geremew</au><au>Mengistu, Birhan</au><au>Collyer, Benjamin</au><au>Forbes, Kathryn</au><au>Anderson, Roy</au><au>Diemert, David Joseph</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial heterogeneity in mass drug administration from a longitudinal epidemiological study assessing transmission interruption of soil transmitted helminths in the Wolaita zone of southern Ethiopia (Geshiyaro Project)</atitle><jtitle>PLoS neglected tropical diseases</jtitle><addtitle>PLoS Negl Trop Dis</addtitle><date>2024-02-01</date><risdate>2024</risdate><volume>18</volume><issue>2</issue><spage>e0011947</spage><epage>e0011947</epage><pages>e0011947-e0011947</pages><issn>1935-2735</issn><issn>1935-2727</issn><eissn>1935-2735</eissn><abstract>Deworming programmes of soil-transmitted helminths are generally monitored and evaluated by aggregating drug coverage and infection levels at a district level. However, heterogeneity in drug coverage at finer spatial scales means indicators may remain above thresholds for elimination as a public health problem or of transmission in some areas. This paper aims to highlight the misleading information that aggregating data at larger spatial scales can have for programme decision making.
Drug coverage data from the Geshiyaro project were compared at two spatial scales with reference to the World Health Organisation's targets. District (woreda) and village (kebele) level were compared. The association between infection levels and drug coverage was analysed by fitting a weighted least-squares function to the mean intensity of infection (eggs per gram of faeces) against drug coverage.
The data show clearly that when the evaluation of coverage is aggregated to the district level, information on heterogeneity at a finer spatial scale is lost. Infection intensity decreases significantly (p = 0.0023) with increasing drug coverage.
Aggregating data at large spatial scales can result in prematurely ceasing deworming, prompting rapid infection bounce-back. There is a strong need to define context-specific spatial scales for monitoring and evaluating intervention programmes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38330143</pmid><doi>10.1371/journal.pntd.0011947</doi><orcidid>https://orcid.org/0000-0001-7447-9091</orcidid><oa>free_for_read</oa></addata></record> |
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| source | DOAJ Directory of Open Access Journals; PubMed Central Open Access; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Biometrics Census of Population Consent Decision making Design Drugs Epidemiology Heterogeneity Identification documents Infections Intervention Medicine and Health Sciences Patchiness People and Places Public health Research and Analysis Methods Spatial data Spatial heterogeneity Towns |
| title | Spatial heterogeneity in mass drug administration from a longitudinal epidemiological study assessing transmission interruption of soil transmitted helminths in the Wolaita zone of southern Ethiopia (Geshiyaro Project) |
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