Applied Mixed Generalized Additive Model to Assess the Effect of Temperature on the Incidence of Bacillary Dysentery and Its Forecast

PLoS ONE

Volumn 8, Issue 4, 2013, Pages

  Ma, Weiping ^a   Sun, Xiaodong ^b   Song, Yanyan ^c   Tao, Fangfang ^b   Feng, Wei ^b   He, Yi ^b   Zhao, Naiqing ^a   Yuan, Zhengan ^b  

^a FUDAN UNIVERSITY   (China)

^b SHANGHAI MUNICIPAL CENTER FOR DISEASE CONTROL AND PREVENTION   (China)

^c SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CHINA; CLIMATE; CONTROLLED STUDY; DATA ANALYSIS; DISEASE ASSOCIATION; ENVIRONMENTAL TEMPERATURE; FORECASTING; HUMAN; HUMIDITY; INCUBATION TIME; MAJOR CLINICAL STUDY; MIXED GENERALIZED ADDITIVE MODEL; MORBIDITY; PREDICTION; SHIGELLOSIS; STATISTICAL MODEL; TEMPERATURE SENSITIVITY; DYSENTERY, BACILLARY; INCIDENCE; REGRESSION ANALYSIS; TEMPERATURE; TIME;

DYSENTERY, BACILLARY; FORECASTING; HUMANS; HUMIDITY; INCIDENCE; MODELS, STATISTICAL; REGRESSION ANALYSIS; TEMPERATURE; TIME FACTORS;

EID: 84876901774     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0062122     Document Type: Article

References (23)

1. Niyogi SK, (2005) Shigellosis. J Microbiol 43(2): 133-143.
2. Hall GV, D'Souza RM, Kirk MD, (2002) Foodborne disease in the new millennium: out of the frying pan and into the fire? Med J Aust 177(11-12): 614-618.
3. Curriero FC, Patz JA, Rose JB, Lele S, (2001) The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948-1994. Am J Public Health 91(8): 1194-1199.
4. Lama JR, Seas CR, Leon-Barua R, Gotuzzo E, Sack RB, (2004) Environmental temperature, cholera, and acute diarrhoea in adults in Lima, Peru. J Health Popul Nutr 22(4): 399-403.
5. Huang D, Guan P, Guo J, Wang P, Zhou B (2008) Investigating the effects of climate variations on bacillary dysentery incidence in northeast China using ridge regression and hierarchical cluster analysis. BMC Infect Dis 8: 130. Available: http://www.biomedcentral.com/1471-2334/8/130 Accessed 25 September 2008.
6. Guan P, Huang D, Guo J, Wang P, Zhou B, (2008) Bacillary dysentery and meteorological factors in northeastern China: a historical review based on classification and regression trees. Jpn J Infect Dis 61(5): 356-360.
7. Zhang Y, Bi P, Hiller JE, Sun Y, Ryan P, (2007) Climate variations and bacillary dysentery in northern and southern cities of China. J Infect 55(2): 194-200.
8. Zhang Y, Bi P, Hiller JE, (2008) Weather and the transmission of bacillary dysentery in Jinan, northern China: a time-series analysis. Public Health Rep 123(1): 61-66.
9. Singh RB, Hales S, de Wet N, Raj R, Hearnden M, et al. (2001) The influence of climate variation and change on diarrheal disease in the Pacific Islands. Environ Health Perspect 109(2): 155-159.
10. Zhang Y, Bi P, Sun Y, Hiller JE, (2012) Projected Years Lost due to Disabilities (YLDs) for bacillary dysentery related to increased temperature in temperate and subtropical cities of China. J Environ Monit 14(2): 510-516.
11. Carson C, Hajat S, Armstrong B, Wilkinson P, (2006) Declining vulnerability to temperature-related mortality in London over the 20th century. Am J Epidemiol 164(1): 77-84.
12. Cheng Y, Kan H, (2012) Effect of the interaction between outdoor air pollution and extreme temperature on daily mortality in Shanghai, China. J Epidemiol 22(1): 28-36.
13. Chen MJ, Lin CY, Wu YT, Wu PC, Lung SC, et al. (2012) Effects of extreme precipitation to the distribution of infectious diseases in Taiwan, 1994-2008. PLoS One 7(6): e34651 doi:10.1371/journal.pone.0034651 Accessed 21 June 2012.
14. Benjamin MA, Rigby RA, Stasinopoulos DM, (2003) Generalized Autoregressive Moving Average Models, Journal of the American Statistical Association. 98(461): 214-223.
15. Hastie TJ, Tibshirani RJ (1990) Generalized Additive Models. London: Chapman and Hall. 308-310.
16. Yang L, Qin G, Zhao N, Wang C, Song G (2012) Using a generalized additive model with autoregressive terms to study the effects of daily temperature on mortality. BMC Medical Research Methodology 12: 165. Available: http://www.biomedcentral.com/1471-2288/12/165. Accessed 2012 October 30.
17. Tong S, Wang XY, Guo Y, (2012) Assessing the short-term effects of heatwaves on mortality and morbidity in Brisbane, Australia: comparison of case-crossover and time series analyses. PLoS One 2012 7(5): e37500 doi:10.1371/journal.pone.0037500 Accessed 2012 May 24.
18. Zhang JY, Zhang Z, Meng HY, Zhang GB, Zhao W, et al. (2012) Time-series analysis on relationship between air pollution and mortality from circulatory system diseases among registered residents in Chaoyang district of Beijing. Zhonghua Yu Fang Yi Xue Za Zhi 46(2): 139-142. Chinese.
19. Zhao Q, Liang Z, Tao S, Zhu J, Du Y (2011) Effects of air pollution on neonatal prematurity in Guangzhou of China: a time-series study. Environ Health 10: 2. Available: http://www.ehjournal.net/content/10/1/2 Accessed 2011 January 10.
20. Kumar R, Sharma SK, Thakur JS, Lakshmi PV, Sharma MK, et al. (2010) Association of air pollution and mortality in the Ludhiana city of India: a time-series study. Indian J Public Health. 54(2): 98-103.
21. Bettaieb J, Toumi A, Leffondre K, Ben Alaya N, Boukthir A, et al. (2010) Relationship between temperature and mortality in the city of Tunis: 2005-2007. Arch Inst Pasteur Tunis 87(1-2): 25-33. French.
22. Medina DC, Findley SE, Guindo B, Doumbia S, (2007) Forecasting Non-Stationary Diarrhea, Acute Respiratory Infection, and Malaria Time-Series in Niono, Mali, PLoS ONE. 2(11): e1181 doi:10.1371/journal.pone.0001181 Accessed 21 November 2007.
23. Descloux E, Mangeas M, Menkes CE, Lengaigne M, Leroy A, et al. (2012) Climate-Based Models for Understanding and Forecasting Dengue Epidemics, PLOS NEGLECTED TROPICAL DISEASES. 6(2): e1470 doi:10.1371/journal.pntd.0001470 Accessed 2012 February 14.