The use of ZIP and CART to model cryptosporidiosis in relation to climatic variables
Hu, Wenbiao, Mengersen, Kerrie, Fu, Shiu-Yun, & Tong, Shilu (2010) The use of ZIP and CART to model cryptosporidiosis in relation to climatic variables. International Journal of Biometeorology, 54(4), pp. 433-450.
This research assesses the potential impact of weekly weather variability on the incidence of cryptosporidiosis disease using time series zero-inflated Poisson (ZIP) and classification and regression tree (CART) models. Data on weather variables, notified cryptosporidiosis cases and population size in Brisbane were supplied by the Australian Bureau of Meteorology, Queensland Department of Health, and Australian Bureau of Statistics, respectively. Both time series ZIP and CART models show a clear association between weather variables (maximum temperature, relative humidity, rainfall and wind speed) and cryptosporidiosis disease. The time series CART models indicated that, when weekly maximum temperature exceeded 31°C and relative humidity was less than 63%, the relative risk of cryptosporidiosis rose by 13.64 (expected morbidity: 39.4; 95% confidence interval: 30.9–47.9). These findings may have applications as a decision support tool in planning disease control and risk management programs for cryptosporidiosis disease.
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|Item Type:||Journal Article|
|Keywords:||Cryptosporidiosis, CART, Time series, Weather, Zip|
|Subjects:||Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700)|
|Divisions:||Current > QUT Faculties and Divisions > Faculty of Health
Past > Schools > Mathematical Sciences
Current > Schools > School of Public Health & Social Work
|Deposited On:||07 Dec 2010 03:54|
|Last Modified:||17 Apr 2015 05:11|
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