Work

Geographically Weighted Negative Binomial Regression (gwnbr) in Modeling the Risk Factors of Pneumonia Disease Among Toddlers in the Central Sulawesi Province

Year: 2023

Type: article

Abstract: This research was conducted to map and model the number of Pneumonia cases in Central Sulawesi Province using the Geographically Weighted Negative Binomial Regression (GWNBR) approach. The data used were Pneumonia case data in Central Sulawesi Province obtained from the Health Publication of Central Sulawesi Province in 2021. The analysis results with the GWNBR method indicated that predictor variables significantly influencing the number of Pneumonia cases in each district/city of Central Sulawesi Province were Exclusive Breastfeeding Percentage (X1), Complete Basic Immunization Percentage (X2), Percentage of Toddlers Receiving Vitamin A (X3), and Percentage of Coverage of Toddler Services (X5). Meanwhile, the variable Low Birth Weight (X4) does not significantly affect the cases.

Source: VARIANSI Journal of Statistics and Its application on Teaching and Research

DOI: 10.35580/variansiunm151

Authors: Mar'ah, Zakiyah, Rais, Zulkifli, Haris, A. Sulfiana

Institution: State University of Makassar

Language: English

Topic: Pneumonia and Respiratory Infections

Subfield: Epidemiology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

OpenAlex ID: W7216163284

FWCI: 1.086

Cites: 1

Cited by: 6

Related to: 10