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Association between malaria incidence and meteorological factors: a multi-location study in China, 2005-2012.
- Source :
- Epidemiology & Infection; Jan2018, Vol. 146 Issue 1, p89-99, 11p
- Publication Year :
- 2018
-
Abstract
- This study aims to investigate the climate-malaria associations in nine cities selected from malaria high-risk areas in China. Daily reports of malaria cases in Anhui, Henan, and Yunnan Provinces for 2005-2012 were obtained from the Chinese Center for Disease Control and Prevention. Generalized estimating equation models were used to quantify the city-specific climate-malaria associations. Multivariate random-effects meta-regression analyses were used to pool the city-specific effects. An inverted-U-shaped curve relationship was observed between temperatures, average relative humidity, and malaria. A 1 °C increase of maximum temperature (T max) resulted in 6·7% (95% CI 4·6-8·8%) to 15·8% (95% CI 14·1-17·4%) increase of malaria, with corresponding lags ranging from 7 to 45 days. For minimum temperature (T min), the effect estimates peaked at lag 0 to 40 days, ranging from 5·3% (95% CI 4·4-6·2%) to 17·9% (95% CI 15·6-20·1%). Malaria is more sensitive to T min in cool climates and T max in warm climates. The duration of lag effect in a cool climate zone is longer than that in a warm climate zone. Lagged effects did not vanish after an epidemic season but waned gradually in the following 2-3 warm seasons. A warming climate may potentially increase the risk of malaria resurgence in China. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09502688
- Volume :
- 146
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Epidemiology & Infection
- Publication Type :
- Academic Journal
- Accession number :
- 126996385
- Full Text :
- https://doi.org/10.1017/S0950268817002254