Identfying predictors of St. Louis encephalitis activity in Houston Texas

Generalized linear Poisson and logistic regression models were utilized to examine the relationship between temperature and precipitation and cases of Saint Louis encephalitis virus spread in the Houston metropolitan area. The models were investigated with and without repeated measures, with a first order autoregressive (AR1) correlation structure used for the repeated measures model. The two types of Poisson regression models, with and without correlation structure, showed that a unit increase in temperature measured in degrees Fahrenheit increases the occurrence of the virus 1.7 times and a unit increase in precipitation measured in inches increases the occurrence of the virus 1.5 times. Logistic regression did not show these covariates to be significant as predictors for encephalitis activity in Houston for either correlation structure. This discrepancy for the logistic model could be attributed to the small data set.^ Keywords: Saint Louis Encephalitis; Generalized Linear Model; Poisson; Logistic; First Order Autoregressive; Temperature; Precipitation. ^

Risk factors associated with first symptomatic infection of {\it Cryptosporidium parvum\/} in an infant population in Bilbeis, Egypt

Diarrhea disease is a leading cause of morbidity and mortality, especially in children in developing countries. An estimate of the global mortality caused by diarrhea among children under five years of age was 3.3 million deaths per year. Cryptosporidium parvum was first identified in 1907, but it was not until 1970 that this organism was recognized as a cause of diarrhea in calves. Then it was as late as 1976 that the first reported case of human Cryptosporidiosis occurred. This study was conducted to ascertain the risk factors of first symptomatic infection with Cryptosporidium parvum in a cohort of infants in a rural area of Egypt. The cohort was followed from birth through the first year of life. Univariate and multivariate analyses of data demonstrated that infants greater than six months of age had a two-fold risk of infection compared with infants less than six months of age (RR = 2.17; 95% C.I. = 1.01-4.82). When stratified, male infants greater than six months of age were four times more likely to become infected than male infants less than six months of age. Among female infants, there was no difference in risk between infants greater than six months of age and infants less than six months of age. Female infants less than six months of age were twice more likely to become infected than male infants less than six months of age. The reverse occurred for infants greater than six months of age, i.e., male infants greater than six months of age had twice the risk of infection compared to females of the same age group. Further analysis of the data revealed an increased risk of Cryptosporidiosis infection in infants who were attended in childbirth by traditional childbirth attendants compared to infants who were attended by modern childbirth attendants (nurses, trained midwives, physicians) (RR = 4. 18; 95% C.I. = 1.05-36.06). The final risk factor of significance was the number of people residing in the household. Infants in households which housed more than seven persons had an almost two-fold risk of infection compared with infants in homes with fewer than seven persons. Other risk factors which suggested increased risk were lack of education among the mothers, absence of latrines and faucets in the homes, and mud used as building material for walls and floors in the homes. ^