ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCE

Pneumonia is an acute infectious disease of the respiratory tract and an infection caused by a virus, bacteria or fungus that attacks the lung tissue. Several cases of pneumonia have resulted in deaths that occurred in toddlers aged 12-59 months. Based on official health in profile data, East Java&#...

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Main Authors: Cindy Cahyaning Astuti, Agnes Ona Bliti Puka, Akbar Wiguna
Format: Article
Language:English
Published: Universitas Pattimura 2023-12-01
Series:Barekeng
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Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7820
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author Cindy Cahyaning Astuti
Agnes Ona Bliti Puka
Akbar Wiguna
author_facet Cindy Cahyaning Astuti
Agnes Ona Bliti Puka
Akbar Wiguna
author_sort Cindy Cahyaning Astuti
collection DOAJ
description Pneumonia is an acute infectious disease of the respiratory tract and an infection caused by a virus, bacteria or fungus that attacks the lung tissue. Several cases of pneumonia have resulted in deaths that occurred in toddlers aged 12-59 months. Based on official health in profile data, East Java's health in 2021 has a zero number of deaths under five aged 12-59 months due to pneumonia. Modeling data with many response variables is zero and there is overdispersion can be done using Zero Inflated Negative Binomial (ZINB) regression. This study aims to model the number of infant deaths aged 12-59 months due to pneumonia in East Java Province based on seven factors that are considered to influence the number of deaths in infants due to pneumonia. From this model, it can be seen that the factors that significantly influence the death of infants aged 12-59 months due to pneumonia in East Java Province using Zero Inflated Negative Binomial (ZINB) regression. The results of testing the parameters of the ZINB regression model show that the predictor variables that have a partial significant effect on the negative binomial model in East Java are the percentage of infants who received complete basic immunization, the percentage of coverage of under-five health services, the percentage of under-five children with malnutrition, the percentage of LBW (low birth weight babies). Selection of the best model is obtained by using the Bayesian Information Criterion (BIC) of 101,587.
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publishDate 2023-12-01
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spelling doaj-art-dd5b1e2cfb3f42a8a658c5db185db0782025-08-20T03:02:45ZengUniversitas PattimuraBarekeng1978-72272615-30172023-12-011741835184410.30598/barekengvol17iss4pp1835-18447820ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCECindy Cahyaning Astuti0Agnes Ona Bliti Puka1Akbar Wiguna2Information Technology of Education, Faculty of Psychology and Educational Sciences, University of Muhammadiyah Sidoarjo, IndonesiaMathematics Education Department, Faculty of Teacher Training and Education, Larantuka Institute of Teacher Training and Technology, IndonesiaInformation Technology of Education, Faculty of Psychology and Educational Sciences, University of Muhammadiyah Sidoarjo, IndonesiaPneumonia is an acute infectious disease of the respiratory tract and an infection caused by a virus, bacteria or fungus that attacks the lung tissue. Several cases of pneumonia have resulted in deaths that occurred in toddlers aged 12-59 months. Based on official health in profile data, East Java's health in 2021 has a zero number of deaths under five aged 12-59 months due to pneumonia. Modeling data with many response variables is zero and there is overdispersion can be done using Zero Inflated Negative Binomial (ZINB) regression. This study aims to model the number of infant deaths aged 12-59 months due to pneumonia in East Java Province based on seven factors that are considered to influence the number of deaths in infants due to pneumonia. From this model, it can be seen that the factors that significantly influence the death of infants aged 12-59 months due to pneumonia in East Java Province using Zero Inflated Negative Binomial (ZINB) regression. The results of testing the parameters of the ZINB regression model show that the predictor variables that have a partial significant effect on the negative binomial model in East Java are the percentage of infants who received complete basic immunization, the percentage of coverage of under-five health services, the percentage of under-five children with malnutrition, the percentage of LBW (low birth weight babies). Selection of the best model is obtained by using the Bayesian Information Criterion (BIC) of 101,587.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7820pneumoniazinbeast javasdgs
spellingShingle Cindy Cahyaning Astuti
Agnes Ona Bliti Puka
Akbar Wiguna
ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCE
Barekeng
pneumonia
zinb
east java
sdgs
title ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCE
title_full ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCE
title_fullStr ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCE
title_full_unstemmed ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCE
title_short ZERO-INFLATED NEGATIVE BINOMIAL MODELING IN INFANT DEATH CASE DUE TO PNEUMONIA IN EAST JAVA PROVINCE
title_sort zero inflated negative binomial modeling in infant death case due to pneumonia in east java province
topic pneumonia
zinb
east java
sdgs
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/7820
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AT agnesonablitipuka zeroinflatednegativebinomialmodelingininfantdeathcaseduetopneumoniaineastjavaprovince
AT akbarwiguna zeroinflatednegativebinomialmodelingininfantdeathcaseduetopneumoniaineastjavaprovince