Spatial error model to analyze morbidity rate in Indonesia

Irma Yahya, Bahriddin Abapihi, Makkulau, Agusrawati & Gusti Ngurah Adhi Wibawa

Volume 3 Issue 3, September 2023

Abstract

Morbidity is a diseased state or symptom in which a person is unable to do daily activities. The morbidity rates can differ by person and place. This paper aims to investigate factors affecting morbidity rates in each province in Indonesia. Using applied spatial error model (SEM), this study analyzed the spatial effect on factors being investigated. It demonstrated that SEM is well-applied on Indonesian morbidity rates data. The results show that in 2020, provinces on Java Island and some provinces on Sulawesi Island have health problems that need to be addressed because they are in the high and moderately high morbidity categories. The value of the Moran Index is positive, indicating a similarity in the percentage of morbidity rates in adjacent provinces. The morbidity rates in most of provinces in Indonesia are affected by the duration averages of school attendance, health insurance, and population density. The coefficient of determination (R2) of the SEM model of 77.60% can be said to be a fairly good model.

Keywords

Author information & Contribution

Irma Yahya. Bachelor of Science in Statistics, Lecturer, Halu Oleo University, Indonesia.
Bahriddin Abapihi. Bachelor of Science in Statistics, Lecturer, Halu Oleo University, Indonesia.
Makkulau. Bachelor of Science in Statistics, Lecturer, Halu Oleo University, Indonesia.
Agusrawati. Bachelor of Science in Statistics, Lecturer, Halu Oleo University, Indonesia.
Gusti Ngurah Adhi Wibawa. Corresponding author. Bachelor of Science in Statistics, Lecturer, Halu Oleo University, Indonesia. Corresponding email: gusti.a.wibawa@uho.ac.id

Disclosure statement

Funding

Institutional Review Board Statement

AI Declaration

Notes

Acknowledgement

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Cite this article:

Irma Yahya, Bahriddin Abapihi, Makkulau, Agusrawati & Gusti Ngurah Adhi Wibawa (2023). Spatial error model to analyze morbidity rate in Indonesia. International Journal of Science, Technology, Engineering and Mathematics, 3 (3), 18-35. https://doi.org/10.53378/352998