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Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study

Introduction The coronavirus disease 2019 (COVID-19) pandemic is a worldwide threat in many aspects, making developing countries with scarce primary health care and medical services more vulnerable. Evaluation of the relationship between the COVID-19 pandemic, sociodemographic variables, and medical...

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Autores principales: Aung, Khine Zin, Kuroda, Yoshiki, Hinoura, Takuji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616012/
https://www.ncbi.nlm.nih.gov/pubmed/36320974
http://dx.doi.org/10.7759/cureus.29693
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author Aung, Khine Zin
Kuroda, Yoshiki
Hinoura, Takuji
author_facet Aung, Khine Zin
Kuroda, Yoshiki
Hinoura, Takuji
author_sort Aung, Khine Zin
collection PubMed
description Introduction The coronavirus disease 2019 (COVID-19) pandemic is a worldwide threat in many aspects, making developing countries with scarce primary health care and medical services more vulnerable. Evaluation of the relationship between the COVID-19 pandemic, sociodemographic variables, and medical services provides useful information to take countermeasures to stop the infection spread and could mitigate the damage. Therefore, this study investigated the relationship between the spread of COVID-19 and sociodemographic variables, medical services, and the transportation system in Myanmar. Methodology This study was a cross-sectional study and was conducted using data on COVID-19 cases from August 20, 2020 to January 31, 2021 in Myanmar. We evaluated the association between the COVID-19 cases and 13 independent variables that were sociodemographic, medical services, and transportation system factors using simple linear regression analysis and multiple linear regression analysis in three phases (increasing (from August 20(th) to October 10(th)), stable (from October 11(st) to December 4(th)) and decreasing phases (from December 5(th) to January 31(st))) on the infection timeline. Results It was found that the population density was parallelly associated with COVID-19 cases. On the other hand, among the medical services factors, the number of doctors was parallelly associated with COVID-19 cases and the number of nurses was inversely related to COVID-19 cases. Conclusions The result indicated that a high population density area was a risk factor for the increase of COVID-19 cases. This supported the worldwide countermeasures to deal with the spread of the infection, such as social distancing, banning large gatherings, working from home, and implementing quarantine procedures for suspected individuals to reduce person-to-person contact. Finally, at least in Myanmar, employing a large number of nurses could reduce the emergence of new COVID-19 cases. We believe that our study can make valuable contributions to tackling future epidemics like COVID-19 not only in Myanmar but also in other developing countries. This article was previously presented as an abstract at the 91st conference of The Japanese Society for Hygiene (JSH ) on March 08, 2021.
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spelling pubmed-96160122022-10-31 Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study Aung, Khine Zin Kuroda, Yoshiki Hinoura, Takuji Cureus Infectious Disease Introduction The coronavirus disease 2019 (COVID-19) pandemic is a worldwide threat in many aspects, making developing countries with scarce primary health care and medical services more vulnerable. Evaluation of the relationship between the COVID-19 pandemic, sociodemographic variables, and medical services provides useful information to take countermeasures to stop the infection spread and could mitigate the damage. Therefore, this study investigated the relationship between the spread of COVID-19 and sociodemographic variables, medical services, and the transportation system in Myanmar. Methodology This study was a cross-sectional study and was conducted using data on COVID-19 cases from August 20, 2020 to January 31, 2021 in Myanmar. We evaluated the association between the COVID-19 cases and 13 independent variables that were sociodemographic, medical services, and transportation system factors using simple linear regression analysis and multiple linear regression analysis in three phases (increasing (from August 20(th) to October 10(th)), stable (from October 11(st) to December 4(th)) and decreasing phases (from December 5(th) to January 31(st))) on the infection timeline. Results It was found that the population density was parallelly associated with COVID-19 cases. On the other hand, among the medical services factors, the number of doctors was parallelly associated with COVID-19 cases and the number of nurses was inversely related to COVID-19 cases. Conclusions The result indicated that a high population density area was a risk factor for the increase of COVID-19 cases. This supported the worldwide countermeasures to deal with the spread of the infection, such as social distancing, banning large gatherings, working from home, and implementing quarantine procedures for suspected individuals to reduce person-to-person contact. Finally, at least in Myanmar, employing a large number of nurses could reduce the emergence of new COVID-19 cases. We believe that our study can make valuable contributions to tackling future epidemics like COVID-19 not only in Myanmar but also in other developing countries. This article was previously presented as an abstract at the 91st conference of The Japanese Society for Hygiene (JSH ) on March 08, 2021. Cureus 2022-09-28 /pmc/articles/PMC9616012/ /pubmed/36320974 http://dx.doi.org/10.7759/cureus.29693 Text en Copyright © 2022, Aung et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Infectious Disease
Aung, Khine Zin
Kuroda, Yoshiki
Hinoura, Takuji
Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study
title Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study
title_full Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study
title_fullStr Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study
title_full_unstemmed Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study
title_short Socio-Demographic, Health, and Transport-Related Factors Affecting the COVID-19 Outbreak in Myanmar: A Cross-Sectional Study
title_sort socio-demographic, health, and transport-related factors affecting the covid-19 outbreak in myanmar: a cross-sectional study
topic Infectious Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9616012/
https://www.ncbi.nlm.nih.gov/pubmed/36320974
http://dx.doi.org/10.7759/cureus.29693
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