Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/61018
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Type: Journal article
Title: Meteorological variables and malaria in a Chinese temperate city: A twenty-year time-series data analysis
Author: Zhang, Y.
Bi, P.
Hiller, J.
Citation: Environment International, 2010; 36(3):439-445
Publisher: Pergamon-Elsevier Science Ltd
Issue Date: 2010
ISSN: 0160-4120
1873-6750
Statement of
Responsibility: 
Ying Zhang, Peng Bi and Janet E. Hiller
Abstract: OBJECTIVES: This study aimed to examine the impact of climate variation on malaria in a temperate region of China. METHODS: A 20-year historical time-series data analysis was conducted to examine the relationship between meteorological variables, including maximum and minimum temperatures, rainfall, humidity, and cases of malaria in Jinan, a temperate city in northern China. Data were retrieved from 1959 and 1979 and analyzed on a monthly basis. Spearman correlation and cross-correlation analyses were performed to identify time lag values between each meteorological variable and the number of malaria cases. The Seasonal Autoregressive Integrated Moving Average (SARIMA) model was used to quantify the relationship between the meteorological variables and malaria cases. RESULTS: The SARIMA models indicate that a 1 degrees C rise in maximum temperature may be related to a 7.7% to 12.7% increase and a 1 degrees C rise in minimum temperature may result in approximately 11.8% to 15.8% increase in the number of malaria cases. A clear association between malaria and other selected weather variables, including rainfall and humidity, has not been detected in this study. CONCLUSIONS: Temperature could play an important role in the transmission of malaria in temperate regions of China.
Keywords: Malaria; Climate; Temperate city; Time-series; China
Rights: Copyright © 2010 Elsevier Ltd. All rights reserved.
RMID: 0020096861
DOI: 10.1016/j.envint.2010.03.005
Appears in Collections:Public Health publications
Environment Institute publications

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