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A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border

Yingjiang County, which is on the China–Myanmar border, is the main focus for malaria elimination in China. The epidemiological characteristics of malaria in Yingjiang County were analysed in a retrospective analysis. A total of 895 malaria cases were reported in Yingjiang County between 2013 and 20...

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Autores principales: Huang, Fang, Li, Shi-Gang, Tian, Peng, Guo, Xiang-Rui, Xia, Zhi-Gui, Zhou, Shui-Sen, Zhou, Hong-Ning, Zhou, Xiao-Nong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266812/
https://www.ncbi.nlm.nih.gov/pubmed/34239003
http://dx.doi.org/10.1038/s41598-021-93734-3
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author Huang, Fang
Li, Shi-Gang
Tian, Peng
Guo, Xiang-Rui
Xia, Zhi-Gui
Zhou, Shui-Sen
Zhou, Hong-Ning
Zhou, Xiao-Nong
author_facet Huang, Fang
Li, Shi-Gang
Tian, Peng
Guo, Xiang-Rui
Xia, Zhi-Gui
Zhou, Shui-Sen
Zhou, Hong-Ning
Zhou, Xiao-Nong
author_sort Huang, Fang
collection PubMed
description Yingjiang County, which is on the China–Myanmar border, is the main focus for malaria elimination in China. The epidemiological characteristics of malaria in Yingjiang County were analysed in a retrospective analysis. A total of 895 malaria cases were reported in Yingjiang County between 2013 and 2019. The majority of cases occurred in males (70.7%) and individuals aged 19–59 years (77.3%). Plasmodium vivax was the predominant species (96.6%). The number of indigenous cases decreased gradually and since 2017, no indigenous cases have been reported. Malaria cases were mainly distributed in the southern and southwestern areas of the county; 55.6% of the indigenous cases were reported in Nabang Township, which also had the highest risk of imported malaria. The “1–3–7” approach has been implemented effectively, with 100% of cases reported within 24 h, 88.9% cases investigated and confirmed within 3 days and 98.5% of foci responded to within 7 days. Although malaria elimination has been achieved in Yingjiang County, sustaining elimination and preventing the re-establishment of malaria require the continued strengthening of case detection, surveillance and response systems targeting the migrant population in border areas.
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spelling pubmed-82668122021-07-12 A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border Huang, Fang Li, Shi-Gang Tian, Peng Guo, Xiang-Rui Xia, Zhi-Gui Zhou, Shui-Sen Zhou, Hong-Ning Zhou, Xiao-Nong Sci Rep Article Yingjiang County, which is on the China–Myanmar border, is the main focus for malaria elimination in China. The epidemiological characteristics of malaria in Yingjiang County were analysed in a retrospective analysis. A total of 895 malaria cases were reported in Yingjiang County between 2013 and 2019. The majority of cases occurred in males (70.7%) and individuals aged 19–59 years (77.3%). Plasmodium vivax was the predominant species (96.6%). The number of indigenous cases decreased gradually and since 2017, no indigenous cases have been reported. Malaria cases were mainly distributed in the southern and southwestern areas of the county; 55.6% of the indigenous cases were reported in Nabang Township, which also had the highest risk of imported malaria. The “1–3–7” approach has been implemented effectively, with 100% of cases reported within 24 h, 88.9% cases investigated and confirmed within 3 days and 98.5% of foci responded to within 7 days. Although malaria elimination has been achieved in Yingjiang County, sustaining elimination and preventing the re-establishment of malaria require the continued strengthening of case detection, surveillance and response systems targeting the migrant population in border areas. Nature Publishing Group UK 2021-07-08 /pmc/articles/PMC8266812/ /pubmed/34239003 http://dx.doi.org/10.1038/s41598-021-93734-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Huang, Fang
Li, Shi-Gang
Tian, Peng
Guo, Xiang-Rui
Xia, Zhi-Gui
Zhou, Shui-Sen
Zhou, Hong-Ning
Zhou, Xiao-Nong
A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border
title A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border
title_full A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border
title_fullStr A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border
title_full_unstemmed A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border
title_short A retrospective analysis of malaria epidemiological characteristics in Yingjiang County on the China–Myanmar border
title_sort retrospective analysis of malaria epidemiological characteristics in yingjiang county on the china–myanmar border
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266812/
https://www.ncbi.nlm.nih.gov/pubmed/34239003
http://dx.doi.org/10.1038/s41598-021-93734-3
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