Characteristics of PHCs, District's Population, GRDP per Capita, and Covid-19 Booster Vaccination Coverage in Indonesia: Negative Binomial Regression Model

Asep Hermawan

2022

Abstract

Public Health Center (PHC) is one of the health facilities designated to provide Covid-19 vaccination services and has an essential role in the success of the Covid-19 booster. This article explores the relationship between characteristics of PHC, population, Gross Regional Domestic Product (GRDP) per capita) and the Covid-19 booster vaccination coverage. This article used secondary data from the Ministry of Health (MoH) dashboard, 2019 Health Facilities Research data. The observation unit was a district/city has started organizing a Covid-19 booster vaccination, and all PHC were enumerated, as many as 512 regencies/cities. The model used to determine the factors affecting coverage of the Covid-19 booster vaccination is a negative binomial regression model since the dependent variable was not Poisson distributed. The result showed that the number of doctors, midwives, and nurses in PHCs, the proportion 24 hours electricity PHCs by district/city, remote PHCs, PHCs had a cold chain, the number of residents, and GRDP per capita had a significant effect on coverage of the Covid 19 booster vaccination. Improvement in the human health workforce, 24- hour electricity, cold chain availability, accessibility to PHCs, and the villages are essential factors in increased coverage.

Paper Citation

in Harvard Style

Hermawan A. (2022). Characteristics of PHCs, District's Population, GRDP per Capita, and Covid-19 Booster Vaccination Coverage in Indonesia: Negative Binomial Regression Model. In Proceedings of the 4th International Conference on Social Determinants of Health - Volume 1: ICSDH, ISBN 978-989-758-621-7, SciTePress, pages 167-173. DOI: 10.5220/0011643200003608

in Bibtex Style

@conference{icsdh22,
author={Asep Hermawan},
title={Characteristics of PHCs, District's Population, GRDP per Capita, and Covid-19 Booster Vaccination Coverage in Indonesia: Negative Binomial Regression Model},
booktitle={Proceedings of the 4th International Conference on Social Determinants of Health - Volume 1: ICSDH,},
year={2022},
pages={167-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011643200003608},
isbn={978-989-758-621-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Social Determinants of Health - Volume 1: ICSDH,
TI - Characteristics of PHCs, District's Population, GRDP per Capita, and Covid-19 Booster Vaccination Coverage in Indonesia: Negative Binomial Regression Model
SN - 978-989-758-621-7
AU - Hermawan A.
PY - 2022
SP - 167
EP - 173
DO - 10.5220/0011643200003608
PB - SciTePress