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Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland

BACKGROUND: Swaziland has made great progress towards its goal of malaria elimination by 2015. However, malaria importation from neighbouring high-endemic Mozambique through Swaziland’s eastern border remains a major factor that could prevent elimination from being achieved. In order to reach elimin...

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Autores principales: Koita, Kadiatou, Novotny, Joseph, Kunene, Simon, Zulu, Zulizile, Ntshalintshali, Nyasatu, Gandhi, Monica, Gosling, Roland
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710236/
https://www.ncbi.nlm.nih.gov/pubmed/23805843
http://dx.doi.org/10.1186/1475-2875-12-219
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author Koita, Kadiatou
Novotny, Joseph
Kunene, Simon
Zulu, Zulizile
Ntshalintshali, Nyasatu
Gandhi, Monica
Gosling, Roland
author_facet Koita, Kadiatou
Novotny, Joseph
Kunene, Simon
Zulu, Zulizile
Ntshalintshali, Nyasatu
Gandhi, Monica
Gosling, Roland
author_sort Koita, Kadiatou
collection PubMed
description BACKGROUND: Swaziland has made great progress towards its goal of malaria elimination by 2015. However, malaria importation from neighbouring high-endemic Mozambique through Swaziland’s eastern border remains a major factor that could prevent elimination from being achieved. In order to reach elimination, Swaziland must rapidly identify and treat imported malaria cases before onward transmission occurs. METHODS: A nationwide formative assessment was conducted over eight weeks to determine if the imported cases of malaria identified by the Swaziland National Malaria Control Programme could be linked to broader social networks and to explore methods to access these networks. RESULTS: Using a structured format, interviews were carried out with malaria surveillance agents (6), health providers (10), previously identified imported malaria cases (19) and people belonging to the networks identified through these interviews (25). Most imported malaria cases were Mozambicans (63%, 12/19) making a living in Swaziland and sustaining their families in Mozambique. The majority of imported cases (73%, 14/19) were labourers and self-employed contractors who travelled frequently to Mozambique to visit their families and conduct business. Social networks of imported cases with similar travel patterns were identified through these interviews. Nearly all imported cases (89%, 17/19) were willing to share contact information to enable network members to be interviewed. Interviews of network members and key informants revealed common congregation points, such as the urban market places in Manzini and Malkerns, as well as certain bus stations, where people with similar travel patterns and malaria risk behaviours could be located and tested for malaria. CONCLUSION: This study demonstrated that imported cases of malaria belonged to networks of people with similar travel patterns. This study may provide novel methods for screening high-risk groups of travellers using both snowball sampling and time-location sampling of networks to identify and treat additional malaria cases. Implementation of a proactive screening programme of importation networks may help Swaziland halt transmission and achieve malaria elimination by 2015.
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spelling pubmed-37102362013-07-13 Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland Koita, Kadiatou Novotny, Joseph Kunene, Simon Zulu, Zulizile Ntshalintshali, Nyasatu Gandhi, Monica Gosling, Roland Malar J Research BACKGROUND: Swaziland has made great progress towards its goal of malaria elimination by 2015. However, malaria importation from neighbouring high-endemic Mozambique through Swaziland’s eastern border remains a major factor that could prevent elimination from being achieved. In order to reach elimination, Swaziland must rapidly identify and treat imported malaria cases before onward transmission occurs. METHODS: A nationwide formative assessment was conducted over eight weeks to determine if the imported cases of malaria identified by the Swaziland National Malaria Control Programme could be linked to broader social networks and to explore methods to access these networks. RESULTS: Using a structured format, interviews were carried out with malaria surveillance agents (6), health providers (10), previously identified imported malaria cases (19) and people belonging to the networks identified through these interviews (25). Most imported malaria cases were Mozambicans (63%, 12/19) making a living in Swaziland and sustaining their families in Mozambique. The majority of imported cases (73%, 14/19) were labourers and self-employed contractors who travelled frequently to Mozambique to visit their families and conduct business. Social networks of imported cases with similar travel patterns were identified through these interviews. Nearly all imported cases (89%, 17/19) were willing to share contact information to enable network members to be interviewed. Interviews of network members and key informants revealed common congregation points, such as the urban market places in Manzini and Malkerns, as well as certain bus stations, where people with similar travel patterns and malaria risk behaviours could be located and tested for malaria. CONCLUSION: This study demonstrated that imported cases of malaria belonged to networks of people with similar travel patterns. This study may provide novel methods for screening high-risk groups of travellers using both snowball sampling and time-location sampling of networks to identify and treat additional malaria cases. Implementation of a proactive screening programme of importation networks may help Swaziland halt transmission and achieve malaria elimination by 2015. BioMed Central 2013-06-27 /pmc/articles/PMC3710236/ /pubmed/23805843 http://dx.doi.org/10.1186/1475-2875-12-219 Text en Copyright © 2013 Koita et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Koita, Kadiatou
Novotny, Joseph
Kunene, Simon
Zulu, Zulizile
Ntshalintshali, Nyasatu
Gandhi, Monica
Gosling, Roland
Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland
title Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland
title_full Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland
title_fullStr Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland
title_full_unstemmed Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland
title_short Targeting imported malaria through social networks: a potential strategy for malaria elimination in Swaziland
title_sort targeting imported malaria through social networks: a potential strategy for malaria elimination in swaziland
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3710236/
https://www.ncbi.nlm.nih.gov/pubmed/23805843
http://dx.doi.org/10.1186/1475-2875-12-219
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