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https://hdl.handle.net/2440/112226
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dc.contributor.author | Xiang, J. | - |
dc.contributor.author | Hansen, A. | - |
dc.contributor.author | Liu, Q. | - |
dc.contributor.author | Tong, M. | - |
dc.contributor.author | Liu, X. | - |
dc.contributor.author | Sun, Y. | - |
dc.contributor.author | Cameron, S. | - |
dc.contributor.author | Hanson-Easey, S. | - |
dc.contributor.author | Han, G. | - |
dc.contributor.author | Williams, C. | - |
dc.contributor.author | Weinstein, P. | - |
dc.contributor.author | Bi, P. | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Epidemiology and Infection, 2018; 146(1):89-99 | - |
dc.identifier.issn | 0950-2688 | - |
dc.identifier.issn | 1469-4409 | - |
dc.identifier.uri | http://hdl.handle.net/2440/112226 | - |
dc.description.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. | - |
dc.description.statementofresponsibility | J. Xiang, A. Hansen, Q. Liu, M. X. Tong, X. Liu, Y. Sun, S. Cameron, S. Hanson-Easey, G. S. Han, C. Williams, P. Weinstein and P. Bi | - |
dc.language.iso | en | - |
dc.publisher | Cambridge University Press | - |
dc.rights | © Cambridge University Press 2017 | - |
dc.source.uri | http://dx.doi.org/10.1017/s0950268817002254 | - |
dc.subject | Climate change | - |
dc.subject | malaria | - |
dc.subject | mosquito | - |
dc.subject | temperature | - |
dc.subject | weather | - |
dc.title | Association between malaria incidence and meteorological factors: a multi-location study in China, 2005-2012 | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1017/s0950268817002254 | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Xiang, J. [0000-0002-6862-2696] | - |
dc.identifier.orcid | Hansen, A. [0000-0003-0195-3770] | - |
dc.identifier.orcid | Tong, M. [0000-0002-9694-9207] | - |
dc.identifier.orcid | Cameron, S. [0000-0002-5574-2568] | - |
dc.identifier.orcid | Hanson-Easey, S. [0000-0002-5767-0545] | - |
dc.identifier.orcid | Weinstein, P. [0000-0001-9860-7166] | - |
dc.identifier.orcid | Bi, P. [0000-0002-3238-3427] | - |
Appears in Collections: | Aurora harvest 3 Public Health publications |
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