CONSTRUCTION OF GENERALIZED LINEAR MODEL USING ENVIRONMENTAL FACTORS IN DIARRHOEA AND CHOLERA DISEASESS. Raguraman and R. Sasikumar
Diarrhoea and cholera have become a main concern for health authorities all over the world mostly in the tropical countries. This paper, therefore, attempts to examine the environmental factors that may influence the recent diarrhoea and cholera outbreak. The aim of this study is twofold, firstly it is to establish a statistical model to describe the relationship between the number of diarrhoea and cholera cases and a range of explanatory variables and secondly, to identify the explanatory variables which affect the diarrhoea and cholera incidence the most. The explanatory variables involved include the level of cloud cover, percentage of relative humidity, rainfall, maximum temperature, minimum temperature and wind speed. The Poisson and Negative Binomial regression analyses were used in this study. In the Poisson regression, we observed that cholera cases the largest association between wind speed and hospital admissions relative risk (RR) value is 1.0404 with statistically significant and diarrhoea cases the largest association between humidity and hospital admissions RR value is 1.0328 was statistically significant. We also observed that negative binomial regression, cholera the largest association between wind speed and hospital admissions RR value is 1.0431 was not statistically significant and diarrhoea the largest association between minimum temperature and hospital admissions RR value is 1.1176 was not statistically significant.