Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012

Malaria has been endemic in Guangzhou for more than 50 years. The goal of this study was to use a negative binomial regression to identify the relationship between meteorological variables and malaria reported. Our results revealed that each 1°C rise of temperature corresponds to an increase of 0.90...

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Detalles Bibliográficos
Autores principales: Li, Tiegang, Yang, Zhicong, Wang, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671138/
https://www.ncbi.nlm.nih.gov/pubmed/23721484
http://dx.doi.org/10.1186/1756-3305-6-155
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author Li, Tiegang
Yang, Zhicong
Wang, Ming
author_facet Li, Tiegang
Yang, Zhicong
Wang, Ming
author_sort Li, Tiegang
collection PubMed
description Malaria has been endemic in Guangzhou for more than 50 years. The goal of this study was to use a negative binomial regression to identify the relationship between meteorological variables and malaria reported. Our results revealed that each 1°C rise of temperature corresponds to an increase of 0.90% in the monthly number of malaria cases. Likewise, a one percent rise in relative humidity led to an increase of 3.99% and a one hour rise in sunshine led to an increase of 0.68% in the monthly number of cases. Our findings may be useful for developing a simple, precise malaria early warning system.
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spelling pubmed-36711382013-06-05 Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012 Li, Tiegang Yang, Zhicong Wang, Ming Parasit Vectors Letter to the Editor Malaria has been endemic in Guangzhou for more than 50 years. The goal of this study was to use a negative binomial regression to identify the relationship between meteorological variables and malaria reported. Our results revealed that each 1°C rise of temperature corresponds to an increase of 0.90% in the monthly number of malaria cases. Likewise, a one percent rise in relative humidity led to an increase of 3.99% and a one hour rise in sunshine led to an increase of 0.68% in the monthly number of cases. Our findings may be useful for developing a simple, precise malaria early warning system. BioMed Central 2013-05-30 /pmc/articles/PMC3671138/ /pubmed/23721484 http://dx.doi.org/10.1186/1756-3305-6-155 Text en Copyright © 2013 Li et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Letter to the Editor
Li, Tiegang
Yang, Zhicong
Wang, Ming
Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012
title Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012
title_full Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012
title_fullStr Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012
title_full_unstemmed Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012
title_short Temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in Guangzhou, southern China, 2006–2012
title_sort temperature, relative humidity and sunshine may be the effective predictors for occurrence of malaria in guangzhou, southern china, 2006–2012
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3671138/
https://www.ncbi.nlm.nih.gov/pubmed/23721484
http://dx.doi.org/10.1186/1756-3305-6-155
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AT yangzhicong temperaturerelativehumidityandsunshinemaybetheeffectivepredictorsforoccurrenceofmalariainguangzhousouthernchina20062012
AT wangming temperaturerelativehumidityandsunshinemaybetheeffectivepredictorsforoccurrenceofmalariainguangzhousouthernchina20062012

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