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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...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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. |
format | Online Article Text |
id | pubmed-3424152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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