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Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions

In-line with the World Health Organization’s (WHO) Global Technical Strategy for Malaria (2016–2030), Vietnam is striving to eliminate malaria by 2030. Targeting appropriate interventions in high-risk populations such as forest and forest-fringe communities is a critical component of malaria elimina...

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Autores principales: Ngo, Thang Duc, Canavati, Sara E., Dung, Dang Viet, Vo, Thuan Huu, Tran, Duong Thanh, Tran, Long Khanh, Whedbee, Rosalie J., Milgotina, Ekaterina I., Kelly, Gerard C., Edgel, Kimberly A., Martin, Nicholas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051764/
https://www.ncbi.nlm.nih.gov/pubmed/33861798
http://dx.doi.org/10.1371/journal.pone.0250045
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author Ngo, Thang Duc
Canavati, Sara E.
Dung, Dang Viet
Vo, Thuan Huu
Tran, Duong Thanh
Tran, Long Khanh
Whedbee, Rosalie J.
Milgotina, Ekaterina I.
Kelly, Gerard C.
Edgel, Kimberly A.
Martin, Nicholas J.
author_facet Ngo, Thang Duc
Canavati, Sara E.
Dung, Dang Viet
Vo, Thuan Huu
Tran, Duong Thanh
Tran, Long Khanh
Whedbee, Rosalie J.
Milgotina, Ekaterina I.
Kelly, Gerard C.
Edgel, Kimberly A.
Martin, Nicholas J.
author_sort Ngo, Thang Duc
collection PubMed
description In-line with the World Health Organization’s (WHO) Global Technical Strategy for Malaria (2016–2030), Vietnam is striving to eliminate malaria by 2030. Targeting appropriate interventions in high-risk populations such as forest and forest-fringe communities is a critical component of malaria elimination efforts in Vietnam. In 2016, a household-level malaria indicator survey was conducted in Phu Yen Province, Vietnam with the aim of assessing the knowledge, behaviors and associated risks of malaria infection among priority mobile and migrant populations (MMPs) working and sleeping in forests and on farms. A total of 4211 people were included in the survey, comprised of 1074 heads of households and 3137 associated household members. Of the 1074 head-of-household respondents, 472 slept in a forest, 92 slept on a farm, 132 slept in both forests and farms, and 378 slept at their villages within the last 12 months. Age, literacy, and occupation were significantly different among those who slept in a forest versus on a farm. Of 301 respondents who answered questions about malaria risk factors at sleeping sites, 35% were somewhat aware of malaria prevention practices, but only 4% could recall at least four malaria prevention messages. Among the same group of 301 respondents, only 29% used nets and only 11% used treated nets. Ownership and use of nets among forest-goers was significantly lower than those who slept on a farm or in their village. Huts without walls were significantly prominent forest sleeping site locations (POR = 10.3; 95% CI 4.67–22.7). All respondents who slept in a forest requested standby malaria drugs and one-third of them self-treated without blood testing. Results from this study highlight the importance of capturing relevant location-specific data among priority populations such as remote forest and farm going mobile and migrant populations in Vietnam. Data regarding behavioral practices, knowledge, preventative measures, and intervention coverage at remote-area transmission sites must be routinely captured to effectively monitor progress and refine targeted intervention strategies accordingly.
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spelling pubmed-80517642021-04-28 Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions Ngo, Thang Duc Canavati, Sara E. Dung, Dang Viet Vo, Thuan Huu Tran, Duong Thanh Tran, Long Khanh Whedbee, Rosalie J. Milgotina, Ekaterina I. Kelly, Gerard C. Edgel, Kimberly A. Martin, Nicholas J. PLoS One Research Article In-line with the World Health Organization’s (WHO) Global Technical Strategy for Malaria (2016–2030), Vietnam is striving to eliminate malaria by 2030. Targeting appropriate interventions in high-risk populations such as forest and forest-fringe communities is a critical component of malaria elimination efforts in Vietnam. In 2016, a household-level malaria indicator survey was conducted in Phu Yen Province, Vietnam with the aim of assessing the knowledge, behaviors and associated risks of malaria infection among priority mobile and migrant populations (MMPs) working and sleeping in forests and on farms. A total of 4211 people were included in the survey, comprised of 1074 heads of households and 3137 associated household members. Of the 1074 head-of-household respondents, 472 slept in a forest, 92 slept on a farm, 132 slept in both forests and farms, and 378 slept at their villages within the last 12 months. Age, literacy, and occupation were significantly different among those who slept in a forest versus on a farm. Of 301 respondents who answered questions about malaria risk factors at sleeping sites, 35% were somewhat aware of malaria prevention practices, but only 4% could recall at least four malaria prevention messages. Among the same group of 301 respondents, only 29% used nets and only 11% used treated nets. Ownership and use of nets among forest-goers was significantly lower than those who slept on a farm or in their village. Huts without walls were significantly prominent forest sleeping site locations (POR = 10.3; 95% CI 4.67–22.7). All respondents who slept in a forest requested standby malaria drugs and one-third of them self-treated without blood testing. Results from this study highlight the importance of capturing relevant location-specific data among priority populations such as remote forest and farm going mobile and migrant populations in Vietnam. Data regarding behavioral practices, knowledge, preventative measures, and intervention coverage at remote-area transmission sites must be routinely captured to effectively monitor progress and refine targeted intervention strategies accordingly. Public Library of Science 2021-04-16 /pmc/articles/PMC8051764/ /pubmed/33861798 http://dx.doi.org/10.1371/journal.pone.0250045 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Ngo, Thang Duc
Canavati, Sara E.
Dung, Dang Viet
Vo, Thuan Huu
Tran, Duong Thanh
Tran, Long Khanh
Whedbee, Rosalie J.
Milgotina, Ekaterina I.
Kelly, Gerard C.
Edgel, Kimberly A.
Martin, Nicholas J.
Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions
title Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions
title_full Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions
title_fullStr Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions
title_full_unstemmed Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions
title_short Results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in Vietnam to tailor location-specific malaria elimination interventions
title_sort results from a malaria indicator survey highlight the importance of routine data capture in high-risk forest and farm transmission sites in vietnam to tailor location-specific malaria elimination interventions
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051764/
https://www.ncbi.nlm.nih.gov/pubmed/33861798
http://dx.doi.org/10.1371/journal.pone.0250045
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