Cargando…
Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014
BACKGROUND: Despite the declining burden of malaria in China, the disease remains a significant public health problem with periodic outbreaks and spatial variation across the country. A better understanding of the spatial and temporal characteristics of malaria is essential for consolidating the dis...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168843/ https://www.ncbi.nlm.nih.gov/pubmed/27993171 http://dx.doi.org/10.1186/s12936-016-1646-2 |
_version_ | 1782483423598739456 |
---|---|
author | Hundessa, Samuel H. Williams, Gail Li, Shanshan Guo, Jinpeng Chen, Linping Zhang, Wenyi Guo, Yuming |
author_facet | Hundessa, Samuel H. Williams, Gail Li, Shanshan Guo, Jinpeng Chen, Linping Zhang, Wenyi Guo, Yuming |
author_sort | Hundessa, Samuel H. |
collection | PubMed |
description | BACKGROUND: Despite the declining burden of malaria in China, the disease remains a significant public health problem with periodic outbreaks and spatial variation across the country. A better understanding of the spatial and temporal characteristics of malaria is essential for consolidating the disease control and elimination programme. This study aims to understand the spatial and spatiotemporal distribution of Plasmodium vivax and Plasmodium falciparum malaria in China during 2005–2009. METHODS: Global Moran’s I statistics was used to detect a spatial distribution of local P. falciparum and P. vivax malaria at the county level. Spatial and space–time scan statistics were applied to detect spatial and spatiotemporal clusters, respectively. RESULTS: Both P. vivax and P. falciparum malaria showed spatial autocorrelation. The most likely spatial cluster of P. vivax was detected in northern Anhui province between 2005 and 2009, and western Yunnan province between 2010 and 2014. For P. falciparum, the clusters included several counties of western Yunnan province from 2005 to 2011, Guangxi from 2012 to 2013, and Anhui in 2014. The most likely space–time clusters of P. vivax malaria and P. falciparum malaria were detected in northern Anhui province and western Yunnan province, respectively, during 2005–2009. CONCLUSION: The spatial and space–time cluster analysis identified high-risk areas and periods for both P. vivax and P. falciparum malaria. Both malaria types showed significant spatial and spatiotemporal variations. Contrary to P. vivax, the high-risk areas for P. falciparum malaria shifted from the west to the east of China. Further studies are required to examine the spatial changes in risk of malaria transmission and identify the underlying causes of elevated risk in the high-risk areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-016-1646-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5168843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51688432016-12-23 Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014 Hundessa, Samuel H. Williams, Gail Li, Shanshan Guo, Jinpeng Chen, Linping Zhang, Wenyi Guo, Yuming Malar J Research BACKGROUND: Despite the declining burden of malaria in China, the disease remains a significant public health problem with periodic outbreaks and spatial variation across the country. A better understanding of the spatial and temporal characteristics of malaria is essential for consolidating the disease control and elimination programme. This study aims to understand the spatial and spatiotemporal distribution of Plasmodium vivax and Plasmodium falciparum malaria in China during 2005–2009. METHODS: Global Moran’s I statistics was used to detect a spatial distribution of local P. falciparum and P. vivax malaria at the county level. Spatial and space–time scan statistics were applied to detect spatial and spatiotemporal clusters, respectively. RESULTS: Both P. vivax and P. falciparum malaria showed spatial autocorrelation. The most likely spatial cluster of P. vivax was detected in northern Anhui province between 2005 and 2009, and western Yunnan province between 2010 and 2014. For P. falciparum, the clusters included several counties of western Yunnan province from 2005 to 2011, Guangxi from 2012 to 2013, and Anhui in 2014. The most likely space–time clusters of P. vivax malaria and P. falciparum malaria were detected in northern Anhui province and western Yunnan province, respectively, during 2005–2009. CONCLUSION: The spatial and space–time cluster analysis identified high-risk areas and periods for both P. vivax and P. falciparum malaria. Both malaria types showed significant spatial and spatiotemporal variations. Contrary to P. vivax, the high-risk areas for P. falciparum malaria shifted from the west to the east of China. Further studies are required to examine the spatial changes in risk of malaria transmission and identify the underlying causes of elevated risk in the high-risk areas. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-016-1646-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-12-19 /pmc/articles/PMC5168843/ /pubmed/27993171 http://dx.doi.org/10.1186/s12936-016-1646-2 Text en © The Author(s) 2016 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 Hundessa, Samuel H. Williams, Gail Li, Shanshan Guo, Jinpeng Chen, Linping Zhang, Wenyi Guo, Yuming Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014 |
title | Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014 |
title_full | Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014 |
title_fullStr | Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014 |
title_full_unstemmed | Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014 |
title_short | Spatial and space–time distribution of Plasmodium vivax and Plasmodium falciparum malaria in China, 2005–2014 |
title_sort | spatial and space–time distribution of plasmodium vivax and plasmodium falciparum malaria in china, 2005–2014 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5168843/ https://www.ncbi.nlm.nih.gov/pubmed/27993171 http://dx.doi.org/10.1186/s12936-016-1646-2 |
work_keys_str_mv | AT hundessasamuelh spatialandspacetimedistributionofplasmodiumvivaxandplasmodiumfalciparummalariainchina20052014 AT williamsgail spatialandspacetimedistributionofplasmodiumvivaxandplasmodiumfalciparummalariainchina20052014 AT lishanshan spatialandspacetimedistributionofplasmodiumvivaxandplasmodiumfalciparummalariainchina20052014 AT guojinpeng spatialandspacetimedistributionofplasmodiumvivaxandplasmodiumfalciparummalariainchina20052014 AT chenlinping spatialandspacetimedistributionofplasmodiumvivaxandplasmodiumfalciparummalariainchina20052014 AT zhangwenyi spatialandspacetimedistributionofplasmodiumvivaxandplasmodiumfalciparummalariainchina20052014 AT guoyuming spatialandspacetimedistributionofplasmodiumvivaxandplasmodiumfalciparummalariainchina20052014 |