Diversity: Disease Preventive of Research Integrity
Volume 1, Issue 2, February 2021

Altitude Factors Affect Dengue Fever Cases in South Sulawesi: A Study Using Poisson Inverse Gaussian Regression Model

Adiatma Adiatma (Bagian Matematika, Universitas Islam Negeri Alauddin, Makassar)
Amin Tohari (Bagian Matematika, Universitas Nusantara PGRI, Kediri)
Ali Faisal (Bagian Matematika, Universitas Islam Negeri Alauddin, Makassar)
Syamsul Alam (Bagian Kesehatan Masyarakat, Universitas Islam Negeri Alauddin, Makassar)



Article Info

Publish Date
28 Feb 2021

Abstract

Poisson regression is used to model enumeration data such as data on the number of DHF cases. This model has the assumption that is fulfilled is the average and the variance must have the same value or it is called the equidispersion. But this assumption is not fulfilled because the data on the number of dengue cases experienced violations of this assumption. The violation is that the average value is smaller than the variance value or it is called overdispersion. This results in incorrect conclusions because the prediction standard error is underestimated. The way to prevent this is by combining the Poisson distribution and discrete or continuous distribution, this combination is called Mixed Poisson Distribution. Researchers use one of the Mixed Poisson methods, namely Inverse Gaussian Poisson Regression (PIG) because the method is used when the data is overdispersed and the parameters are known or close form on the likelihood function. Based on the results of the study, it is known that the height of the area is a factor that significantly influences DHF cases in South Sulawesi.

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Journal Info

Abbrev

diversity

Publisher

Subject

Environmental Science Health Professions Medicine & Pharmacology Public Health

Description

Diversity: Disease Preventive of Research Integrity focuses to attract, review, and publish high-quality original research that contributes to advancing public health science and using it as an important means to improve health quality worldwide. This journal is committed to tackling the most ...