The use of ZIP and CART to model cryptosporidiosis in relation to climatic variables

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.

GROUP SD COLLECTION ZIP

The collection of items for Group SD's coursework assignment.

e-Research Methods Theme 1 Introduction ZIP

Source files for theme 1

e-Research Methods Theme 2 Getting Started... ZIP

Source files for theme 2

e-Research Methods Theme 3 Literature Review ZIP

Source files for theme 3

e-Research Methods Theme 4 Choosing Your Research Topic ZIP

Source files for theme 4

e-Research Methods Theme 5 Project Management ZIP

Source files for theme 5

e-Research Methods Theme 6 Collecting Data ZIP

Source files for theme 6

e-Research Methods Theme 7 Data Analysis ZIP

Source files for theme 7

e-Research Methods Theme 8 Writing Research Proposal ZIP

Source files for theme 8

E-Research Methods Zip files

Download these if you want to run your own, modufued version of erm

test stars zip upload

test stars zip upload