Open AccessPoisson regression application for sosiodemography Acute Respiratory Infections (ARI)
Author(s) -
I O Hamarandji,
Anna Rita Atti,
M A Kleden
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2017/1/012006
Subject(s) - overdispersion , poisson regression , negative binomial distribution , regression analysis , statistics , poisson distribution , mathematics , regression , count data , logistic regression , quasi likelihood , econometrics , medicine , environmental health , population
Acute respiratory infection (ARI) is an infectious disease caused by bacteria or viruses that attack the respiratory organs. The case of ARI in toddlers is called Pneumonia. This research aims to determine regression Poisson and negative binomial regression models and significant factors affecting ARI in toddlers in East Nusa Tenggara province based on sociodemography aspects. The method used is the Poisson regression model and the negative binomial regression model. Poisson regression is used to form ARI case models in toddlers in East Nusa Tenggara province based on sociodemography aspects and negative binomial regression to overcome the overdispersion case in Poisson regression. The results showed that the Poisson regression model over dispersed, so the Poisson regression model was not suitable to be used suitable model for ARI cases in toddlers in East Nusa Tenggara based on sociodemography aspects is negative binomial regression models. The result of the data processing obtained a negative binomial regression model: μ i = exp (3.5260 + 0.021 x 2 ). The result of this study indicates that a significant sociodemographic aspect affecting ARI cases in toddlers at NTT is poverty (X 2 ).