| dc.description.abstract | Diphtheria is a contagious disease caused by the Corynebacterium diphtheria
bacteria that attacks the upper respiratory system. Poisson regression method was
used to model diphtheria data and its relations between diphtheria cases and various
factors assuming equidispersion. However, data of contagious disease may produce
overdispersion outcome. Hence, negative binomial regression was implemented.
Akaike’s Information Criterion (AIC) was used to measure goodness of fit of the
model. Negative binomial regression was chosen as a better model as it showed
lower AIC value than Poisson regression. Factors that influenced number of
diphtheria cases in East Java were immunization coverage, population density, and
percentage of UCI village. | id |
