Characterizing the effect of temperature fluctuation on the incidence of malaria: An epidemiological study in south-west China using the varying coefficient distributed lag non-linear model

Malaria Journal

Volumn 13, Issue 1, 2014, Pages

  Zhao, Xing ^a,b   Chen, Fei ^a   Feng, Zijian ^c   Li, Xiaosong ^a   Zhou, Xiao Hua ^b,d  

^a SICHUAN UNIVERSITY   (China)

^b UNIVERSITY OF WASHINGTON   (United States)

^c CHINESE CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

^d VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CHINA; CIRCADIAN RHYTHM; CLIMATE CHANGE; CORRELATIONAL STUDY; DISEASE ASSOCIATION; DIURNAL TEMPERATURE RANGE; ENVIRONMENTAL TEMPERATURE; HUMAN; HUMIDITY; INCIDENCE; LARVAL DEVELOPMENT; MALARIA; METEOROLOGICAL PHENOMENA; NONLINEAR SYSTEM; RISK FACTOR; SEASONAL VARIATION; TEMPERATURE MEASUREMENT; TEMPERATURE SENSITIVITY; EPIDEMIOLOGY; STATISTICAL MODEL; TEMPERATURE;

CHINA; EPIDEMIOLOGIC STUDIES; HUMANS; INCIDENCE; MALARIA; METEOROLOGICAL CONCEPTS; MODELS, STATISTICAL; TEMPERATURE;

EID: 84902372540     PISSN: None     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/1475-2875-13-192     Document Type: Article

References (47)

1. Age-grouping methods in Diptera of medical importance with special reference to some vectors of malaria. Detinova T, Monogr Ser World Health Organ 1962 47 13 191 13885800
2. Association between climate variability and malaria epidemics in the East African highlands. Zhou G, Minakawa N, Githeko AK, Yan G, Proc Natl Acad Sci U S A 2004 101 2375 2380 10.1073/pnas.0308714100 14983017 (Pubitemid 38269319)
3. Ecology of Malaria. [ http://www.cdc.gov/malaria/about/biology/ecology. html ] Accessed: 2013-11-11
4. Optimal temperature for malaria transmission is dramatically lower than previously predicted. Mordecai EA, Paaijmans KP, Johnson LR, Balzer C, Ben-Horin T, de Moor E, McNally A, Pawar S, Ryan SJ, Smith TC, Lafferty KD, Ecol Lett 2013 16 22 30 10.1111/ele.12015 23050931
5. Understanding the link between malaria risk and climate. Paaijmans KP, Read AF, Thomas MB, Proc Natl Acad Sci U S A 2009 106 13844 13849 10.1073/pnas.0903423106 19666598
6. Implications of temperature variation for malaria parasite development across Africa. Blanford JI, Blanford S, Crane RG, Mann ME, Paaijmans KP, Schreiber KV, Thomas MB, Sci Rep 2013 3 1300 23419595
7. Relevant temperatures in mosquito and malaria biology. Paaijmans KP, Thomas MB, Ecology of parasite-vector interactions The Netherlands: Wageningen Academic Publishers, Takken W, Koenraadt CJM, 2013 103 121
8. Influence of climate on malaria transmission depends on daily temperature variation. Paaijmans KP, Blanford S, Bell AS, Blanford JI, Read AF, Thomas MB, Proc Natl Acad Sci U S A 2010 107 15135 15139 10.1073/pnas.1006422107 20696913
9. Impact of daily temperature fluctuations on dengue virus transmission by Aedes aegypti. Lambrechts L, Paaijmans KP, Fansiri T, Carrington LB, Kramer LD, Thomas MB, Scott TW, Proc Natl Acad Sci U S A 2011 108 7460 7465 10.1073/pnas.1101377108 21502510
10. Fluctuations at a low mean temperature accelerate dengue virus transmission by Aedes aegypti. Carrington LB, Armijos MV, Lambrechts L, Scott TW, PLoS Negl Trop Dis 2013 7 2190 10.1371/journal.pntd.0002190 23638208
11. Weather-based prediction of Plasmodium falciparum malaria in epidemic-prone regions of Ethiopia I Patterns of lagged weather effects reflect biological mechanisms. Teklehaimanot HD, Lipsitch M, Teklehaimanot A, Schwartz J, Malar J 2004 3 41 10.1186/1475-2875-3-41 15541174 (Pubitemid 40117664)
12. The distributed lag between air pollution and daily deaths. Schwartz J, Epidemiology 2000 11 320 326 10.1097/00001648-200005000-00016 10784251 (Pubitemid 30228202)
13. Malaria resurgence in the East African highlands: temperature trends revisited. Pascual M, Ahumada JA, Chaves LF, Rodo X, Bouma M, Proc Natl Acad Sci U S A 2006 103 5829 5834 10.1073/pnas.0508929103 16571662
14. Bayesian geostatistical modeling of Malaria Indicator Survey data in Angola. Gosoniu L, Veta AM, Vounatsou P, PLoS One 2010 5 9322 10.1371/journal.pone.0009322
15. Modeling the effects of weather and climate change on malaria transmission. Parham PE, Michael E, Environ Health Perspect 2010 118 620 626 20435552
16. Geographical, meteorological and vectorial factors related to malaria re-emergence in Huang-Huai River of central China. Zhou SS, Huang F, Wang JJ, Zhang SS, Su YP, Tang LH, Malar J 2010 9 337 10.1186/1475-2875-9-337 21092326
17. Malaria early warnings based on seasonal climate forecasts from multi-model ensembles. Thomson MC, Doblas-Reyes FJ, Mason SJ, Hagedorn R, Connor SJ, Phindela T, Morse AP, Palmer TN, Nature 2006 439 576 579 10.1038/nature04503 16452977 (Pubitemid 43185379)
18. Models for short term malaria prediction in Sri Lanka. Briët OJ, Vounatsou P, Gunawardena DM, Galappaththy GN, Amerasinghe PH, Malar J 2008 7 76 10.1186/1475-2875-7-76 18460204 (Pubitemid 351794093)
19. Modeling exposure-lag-response associations with distributed lag nonlinear models. Gasparrini A, Stat Med 2013 33 881 899 24027094
20. Malaria situation in the People's Republic Of China in 2009. Zhou SS, Wang Y, Xia ZG, Zhongguo Ji Sheng Chong Xue Yu Ji Sheng Chong Bing Za Zhi 2011 29 1 3 21823314
21. Space-time variation of malaria incidence in Yunnan province. Clements ACA, Barnett AG, Cheng ZW, Snow RW, Zhou HN, China Malar J 2009 8 180 10.1186/1475-2875-8-180
22. Spatio-temporal distribution of malaria in Yunnan Province, China. Hui F, Xu B, Chen Z, Cheng X, Liang L, Huang H, Fang L, Yang H, Zhou H, Yang H, Am J Trop Med Hyg 2009 81 503 509 19706922
23. Spatial patterns of malaria reported deaths in Yunnan Province, China. Bi Y, Hu W, Yang H, Zhou X, Yu W, Guo Y, Tong S, Am J Trop Med Hyg 2013 88 526 535 10.4269/ajtmh.2012.12-0217 23269660
24. Verification of clinically diagnosed cases during malaria elimination programme in Guizhou Province of China. Yin J, Xia Z, Yan H, Huang Y, Lu L, Geng Y, Xiao N, Xu J, He P, Zhou S, Malar J 2013 12 130 10.1186/1475-2875-12-130 23587165
25. Chinese Meteorological Data Sharing Service System. [ http://cdc.cma.gov.cn/home.do ] Accessed: 2013-11-11
26. Meteorological Factors-Based Spatio-Temporal Mapping and Predicting Malaria in Central China. Huang F, Zhou S, Zhang S, Zhang H, Li W, Am J Trop Med Hyg 2011 85 560 567 10.4269/ajtmh.2011.11-0156 21896823
27. Temporal correlation analysis between malaria and meteorological factors in Motuo County. Huang F, Zhou S, Zhang S, Wang H, Tang L, Tibet Malar J 2011 10 54 10.1186/1475-2875-10-54
28. One-year delayed effect of fog on malaria transmission: a time-series analysis in the rain forest area of Mengla County, south-west China. Tian L, Bi Y, Ho S, Liu W, Liang S, Goggins W, Chan E, Zhou S, Sung J, Malar J 2008 7 110 10.1186/1475-2875-7-110 18565224 (Pubitemid 351904895)
29. Spatiotemporal distribution of malaria and the association between its epidemic and climate factors in Hainan. Xiao D, Long Y, Wang S, Fang L, Xu D, Wang G, Li L, Cao W, Yan Y, China Malar J 2010 9 185 10.1186/1475-2875-9-185
30. Spatial and temporal distribution of falciparum malaria in China. Lin H, Lu L, Tian L, Zhou S, Wu H, Bi Y, Ho SC, Liu Q, Malar J 2009 8 130 10.1186/1475-2875-8-130 19523209
31. Characterization of two putative potassium channels in Plasmodium falciparum. Waller KL, McBride SM, Kim K, McDonald TV, Malar J 2008 7 19 10.1186/1475-2875-7-19 18218136 (Pubitemid 351644330)
32. Emergence and control of infectious diseases in China. Wang L, Wang Y, Jin S, Wu Z, Chin DP, Koplan JP, Wilson ME, Lancet 2008 372 1598 1605 10.1016/S0140-6736(08)61365-3 18930534
33. Exploring 30 years of malaria case data in KwaZulu-Natal, South Africa: part I. The impact of climatic factors. Craig MH, Kleinschmidt I, Nawn JB, Le Sueur D, Sharp BL, Trop Med Int Health 2004 9 1247 1257 10.1111/j.1365-3156. 2004.01340.x 15598256 (Pubitemid 40037160)
34. Systematic variation in the temperature dependence of physiological and ecological traits. Dell AI, Pawar S, Savage VM, Proc Natl Acad Sci U S A 2011 108 10591 10596 10.1073/pnas.1015178108 21606358
35. The temporal lagged association between meteorological factors and malaria in 30 counties in south-west China: a multilevel distributed lag non-linear analysis. Zhao X, Chen F, Feng Z, Li X, Zhou XH, Malar J 2014 13 57 10.1186/1475-2875-13-57 24528891
36. Varying-coefficient models. Hastie T, Tibshirani R, J R Stat Soc B 1993 55 757 796
37. RCoreTeam, R: A language and environment for statistical computing: R Foundation for Statistical Computing Vienna, Austria: R Foundation for Statistical Computing 2013 URL: http://www.R-project.org
38. Bates D, Maechler M, Bolker B, Walker S, lme4: Linear mixed-effects models using Eigen and S4. R package version 2013 1 5
39. Underestimating malaria risk under variable temperatures. Pascual M, Dobson AP, Bouma MJ, Proc Natl Acad Sci U S A 2009 106 13645 13646 10.1073/pnas.0906909106 19706496
40. Do rising temperatures matter? Pascual M, Bouma MJ, Ecology 2009 90 906 912 10.1890/08-0730.1 19449684
41. Climate change and highland malaria: fresh air for a hot debate. Chaves LF, Koenraadt CJ, Q Rev Biol 2010 85 27 55 10.1086/650284 20337259
42. Stable and fluctuating temperature effects on the development rate and survival of two malaria vectors, Anopheles arabiensis and Anopheles funestus. Lyons CL, Coetzee M, Chown SL, Parasit Vectors 2013 6 104 10.1186/1756-3305-6- 104 23590860
43. Quality analysis on the reports of notifiable diseases in 2004. Ma J, Wang L, Qi X, Zhang C, Guo Q, Ge H, Guo Y, Disease surveillance 2005 20 264 266
44. Quality evaluation of infectious diseases information based on internet reporting system in 2006. Wang L, Guo Y, Guo Q, Zhang C, Qi X, Ma J, Yan G, Disease surveillance 2007 22 412 414
45. Evaluation on quality of notifiable communicable disease network direct reporting and discussion about evaluation indicators in China, 2009. Liu S, Wang L, Zhang C, Wang X, Guo Q, Cai Y, Zhou M, Ma J, Disease surveillance 2011 26 499 503
46. The influence of mosquito resting behaviour and associated microclimate for malaria risk. Paaijmans KP, Thomas MB, Malar J 2011 10 183 10.1186/1475-2875-10-183 21736735
47. Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change. Paaijmans KP, Imbahale SS, Thomas MB, Takken W, Malar J 2010 9 196 10.1186/1475-2875-9-196 20618930