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Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region
BACKGROUND: Assessing the essential components of ‘1-3-7’ strategy along the China–Myanmar border is critical to identify gaps and challenges to support evidence-based decision making. METHODS: A mixed-method retrospective study including quantitative and qualitative analysis of the 1-3-7 system com...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282924/ https://www.ncbi.nlm.nih.gov/pubmed/28137293 http://dx.doi.org/10.1186/s12936-017-1707-1 |
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author | Wang, Duoquan Cotter, Chris Sun, Xiaodong Bennett, Adam Gosling, Roly D. Xiao, Ning |
author_facet | Wang, Duoquan Cotter, Chris Sun, Xiaodong Bennett, Adam Gosling, Roly D. Xiao, Ning |
author_sort | Wang, Duoquan |
collection | PubMed |
description | BACKGROUND: Assessing the essential components of ‘1-3-7’ strategy along the China–Myanmar border is critical to identify gaps and challenges to support evidence-based decision making. METHODS: A mixed-method retrospective study including quantitative and qualitative analysis of the 1-3-7 system components was conducted. Sampled counties were chosen based on malaria incidence from 1 January 2012 to 31 December 2014. RESULTS: All 260 confirmed malaria cases from sampled counties were reported within 1 day and had completed case investigations. 70.0% of all Reactive Case Detection (RACD) events were conducted and 90.1% of those were within 7 days. Only ten additional individuals were found malaria positive out of 3662 individuals tested (0.3%) by rapid diagnostic test during RACD events. CONCLUSIONS: Key gaps were identified in case investigation and RACD activities in Yunnan Province border counties. This evidence supports improving the RACD (or “7”) response strategy in this setting. Given the challenges in this border region, it will be critical to adapt the RACD response to promote the malaria elimination along the China border. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1707-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5282924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52829242017-02-03 Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region Wang, Duoquan Cotter, Chris Sun, Xiaodong Bennett, Adam Gosling, Roly D. Xiao, Ning Malar J Research BACKGROUND: Assessing the essential components of ‘1-3-7’ strategy along the China–Myanmar border is critical to identify gaps and challenges to support evidence-based decision making. METHODS: A mixed-method retrospective study including quantitative and qualitative analysis of the 1-3-7 system components was conducted. Sampled counties were chosen based on malaria incidence from 1 January 2012 to 31 December 2014. RESULTS: All 260 confirmed malaria cases from sampled counties were reported within 1 day and had completed case investigations. 70.0% of all Reactive Case Detection (RACD) events were conducted and 90.1% of those were within 7 days. Only ten additional individuals were found malaria positive out of 3662 individuals tested (0.3%) by rapid diagnostic test during RACD events. CONCLUSIONS: Key gaps were identified in case investigation and RACD activities in Yunnan Province border counties. This evidence supports improving the RACD (or “7”) response strategy in this setting. Given the challenges in this border region, it will be critical to adapt the RACD response to promote the malaria elimination along the China border. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1707-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-01-31 /pmc/articles/PMC5282924/ /pubmed/28137293 http://dx.doi.org/10.1186/s12936-017-1707-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Wang, Duoquan Cotter, Chris Sun, Xiaodong Bennett, Adam Gosling, Roly D. Xiao, Ning Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region |
title | Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region |
title_full | Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region |
title_fullStr | Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region |
title_full_unstemmed | Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region |
title_short | Adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the China–Myanmar border region |
title_sort | adapting the local response for malaria elimination through evaluation of the 1-3-7 system performance in the china–myanmar border region |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5282924/ https://www.ncbi.nlm.nih.gov/pubmed/28137293 http://dx.doi.org/10.1186/s12936-017-1707-1 |
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