Open AccessStudy of Some Factors Affecting on the Chickenpox Cases by Using the Partial Linear Regression Model
Author(s) -
Nabaa Naeem Mahdi,
Auday Taha Raheem,
Aseel Abdul Razzak Rasheed
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 - 10.1088/1742-6596/1804/1/012041
Subject(s) - chickenpox , parametric statistics , linear regression , statistics , medicine , disease , population , regression analysis , linear model , demography , mathematics , environmental health , immunology , virus , sociology
Chickenpox is classified as a transmission disease, especially young ages from three months to 15 years old. This study clarifies the effect of the area, population, and the number of the health centers on the number of cases of chickenpox disease in the Rusafa district, Baghdad, Iraq. We use the Partial Linear Model (PLM) that divides the independent variables into two parts (parametric and non-parametric). Moreover, choosing the best model that represents data of the chickenpox disease, using criteria (R2, Bic, Aic) from six models. The results of the study show a positive relation between the number of cases and number of health centers.