Aung Khine Zin, Kuroda Yoshiki, Hinoura Takuji
Department of Public Health, Faculty of Medicine, University of Miyazaki, Miyazaki, JPN.
Cureus. 2022 Sep 28;14(9):e29693. doi: 10.7759/cureus.29693. eCollection 2022 Sep.
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 to October 10), stable (from October 11 to December 4) and decreasing phases (from December 5 to January 31)) 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.
引言 2019 冠状病毒病(COVID-19)大流行在许多方面构成了全球性威胁,使初级卫生保健和医疗服务匮乏的发展中国家更加脆弱。评估 COVID-19 大流行、社会人口统计学变量和医疗服务之间的关系,可为采取应对措施以阻止感染传播并减轻损害提供有用信息。因此,本研究调查了缅甸 COVID-19 的传播与社会人口统计学变量、医疗服务和交通系统之间的关系。
方法 本研究为横断面研究,使用了 2020 年 8 月 20 日至 2021 年 1 月 31 日缅甸 COVID-19 病例的数据。我们在感染时间轴的三个阶段(上升期(8 月 20 日至 10 月 10 日)、稳定期(10 月 11 日至 12 月 4 日)和下降期(12 月 5 日至 次年 1 月 31 日)),使用简单线性回归分析和多元线性回归分析,评估了 COVID-19 病例与 13 个独立变量之间的关联,这些变量包括社会人口统计学、医疗服务和交通系统因素。
结果 研究发现,人口密度与 COVID-19 病例呈平行关系。另一方面,在医疗服务因素中,医生数量与 COVID-19 病例呈平行关系,而护士数量与 COVID-19 病例呈负相关。
结论 结果表明,高人口密度地区是 COVID-19 病例增加的一个风险因素。这支持了全球应对感染传播的措施,如保持社交距离、禁止大型集会、居家办公以及对疑似个体实施隔离程序,以减少人际接触。最后,至少在缅甸,雇佣大量护士可以减少新的 COVID-19 病例出现。我们相信,我们的研究不仅能为缅甸,也能为其他发展中国家应对未来像 COVID-19 这样的疫情做出宝贵贡献。本文曾于 2021 年 3 月 8 日在日本卫生学会(JSH)第 91 届会议上作为摘要发表。