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Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China

Malaria is re-emerging in Anhui Province, China after a decade long’ low level of endemicity. The number of human cases has increased rapidly since 2000 and reached its peak in 2006. That year, the malaria cases accounted for 54.5% of total cases in mainland China. However, the spatial and temporal...

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Detalles Bibliográficos
Autores principales: Gao, Hong-Wei, Wang, Li-Ping, Liang, Song, Liu, Yong-Xiao, Tong, Shi-Lu, Wang, Jian-Jun, Li, Ya-Pin, Wang, Xiao-Feng, Yang, Hong, Ma, Jia-Qi, Fang, Li-Qun, Cao, Wu-Chun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424152/
https://www.ncbi.nlm.nih.gov/pubmed/22928015
http://dx.doi.org/10.1371/journal.pone.0043686
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author Gao, Hong-Wei
Wang, Li-Ping
Liang, Song
Liu, Yong-Xiao
Tong, Shi-Lu
Wang, Jian-Jun
Li, Ya-Pin
Wang, Xiao-Feng
Yang, Hong
Ma, Jia-Qi
Fang, Li-Qun
Cao, Wu-Chun
author_facet Gao, Hong-Wei
Wang, Li-Ping
Liang, Song
Liu, Yong-Xiao
Tong, Shi-Lu
Wang, Jian-Jun
Li, Ya-Pin
Wang, Xiao-Feng
Yang, Hong
Ma, Jia-Qi
Fang, Li-Qun
Cao, Wu-Chun
author_sort Gao, Hong-Wei
collection PubMed
description Malaria is re-emerging in Anhui Province, China after a decade long’ low level of endemicity. The number of human cases has increased rapidly since 2000 and reached its peak in 2006. That year, the malaria cases accounted for 54.5% of total cases in mainland China. However, the spatial and temporal patterns of human cases and factors underlying the re-emergence remain unclear. We established a database containing 20 years’ (1990–2009) records of monthly reported malaria cases and meteorological parameters. Spearman correlations were used to assess the crude association between malaria incidence and meteorological variables, and a polynomial distributed lag (PDL) time-series regression was performed to examine contribution of meteorological factors to malaria transmission in three geographic regions (northern, mid and southern Anhui Province), respectively. Then, a two-year (2008–2009) prediction was performed to validate the PDL model that was created by using the data collected from 1990 to 2007. We found that malaria incidence decreased in Anhui Province in 1990s. However, the incidence has dramatically increased in the north since 2000, while the transmission has remained at a relatively low level in the mid and south. Spearman correlation analyses showed that the monthly incidences of malaria were significantly associated with temperature, rainfall, relative humidity, and the multivariate El Niño/Southern Oscillation index with lags of 0–2 months in all three regions. The PDL model revealed that only rainfall with a 1–2 month lag was significantly associated with malaria incidence in all three regions. The model validation showed a high accuracy for the prediction of monthly incidence over a 2-year predictive period. Malaria epidemics showed a high spatial heterogeneity in Anhui Province during the 1990–2009 study periods. The change in rainfall drives the reemergence of malaria in the northern Anhui Province.
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spelling pubmed-34241522012-08-27 Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China Gao, Hong-Wei Wang, Li-Ping Liang, Song Liu, Yong-Xiao Tong, Shi-Lu Wang, Jian-Jun Li, Ya-Pin Wang, Xiao-Feng Yang, Hong Ma, Jia-Qi Fang, Li-Qun Cao, Wu-Chun PLoS One Research Article Malaria is re-emerging in Anhui Province, China after a decade long’ low level of endemicity. The number of human cases has increased rapidly since 2000 and reached its peak in 2006. That year, the malaria cases accounted for 54.5% of total cases in mainland China. However, the spatial and temporal patterns of human cases and factors underlying the re-emergence remain unclear. We established a database containing 20 years’ (1990–2009) records of monthly reported malaria cases and meteorological parameters. Spearman correlations were used to assess the crude association between malaria incidence and meteorological variables, and a polynomial distributed lag (PDL) time-series regression was performed to examine contribution of meteorological factors to malaria transmission in three geographic regions (northern, mid and southern Anhui Province), respectively. Then, a two-year (2008–2009) prediction was performed to validate the PDL model that was created by using the data collected from 1990 to 2007. We found that malaria incidence decreased in Anhui Province in 1990s. However, the incidence has dramatically increased in the north since 2000, while the transmission has remained at a relatively low level in the mid and south. Spearman correlation analyses showed that the monthly incidences of malaria were significantly associated with temperature, rainfall, relative humidity, and the multivariate El Niño/Southern Oscillation index with lags of 0–2 months in all three regions. The PDL model revealed that only rainfall with a 1–2 month lag was significantly associated with malaria incidence in all three regions. The model validation showed a high accuracy for the prediction of monthly incidence over a 2-year predictive period. Malaria epidemics showed a high spatial heterogeneity in Anhui Province during the 1990–2009 study periods. The change in rainfall drives the reemergence of malaria in the northern Anhui Province. Public Library of Science 2012-08-21 /pmc/articles/PMC3424152/ /pubmed/22928015 http://dx.doi.org/10.1371/journal.pone.0043686 Text en © 2012 Gao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Gao, Hong-Wei
Wang, Li-Ping
Liang, Song
Liu, Yong-Xiao
Tong, Shi-Lu
Wang, Jian-Jun
Li, Ya-Pin
Wang, Xiao-Feng
Yang, Hong
Ma, Jia-Qi
Fang, Li-Qun
Cao, Wu-Chun
Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China
title Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China
title_full Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China
title_fullStr Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China
title_full_unstemmed Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China
title_short Change in Rainfall Drives Malaria Re-Emergence in Anhui Province, China
title_sort change in rainfall drives malaria re-emergence in anhui province, china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3424152/
https://www.ncbi.nlm.nih.gov/pubmed/22928015
http://dx.doi.org/10.1371/journal.pone.0043686
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