An Evaluation of the Public Healthcare Services and COVID-19 in the North-Eastern States of India: A Quantitative Study

M. S. Rymbai
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Abstract

Introduction: COVID-19 has caused an impending disaster with combined social and economic effects. The socio-economic effects of the pandemic are devastating whereby millions of the population drove towards poverty; with nearly 690 million population left undernourished. COVID-19 has demanded efficient healthcare to combat the disease, however, the millions of reported deaths indicate insufficient and unprepared public healthcare. Objective: To analyse the relationship between public healthcare services and COVID deaths. Methodology: The study used basic descriptive methods: averages, percentages, and correlation. To analyse the effects of healthcare infrastructure and healthcare services on COVID deaths, a multivariate linear regression model was used. Results: A high positive correlation was found between COVID deaths and healthcare infrastructure and services. Sub-centres and district hospitals have a negative yet insignificant effect on COVID deaths with parameter estimates of -1.07108 and -166.458 respectively. Community Health Centre and Primary Health Centre have positive and insignificant effects on COVID deaths with parameter estimates of 10.28023 and 11.60391 respectively. Nurses and pharmacists (PHC andCHC) have a negative and insignificant effect with parameter estimates of -1.4027 and -3.38527 respectively. Doctors (PHC) and laboratory technicians (PHC and CHC) have a positive and insignificant effect with parameter estimates of 6.124071 and 5.347605 respectively. F-statistic value was found to be significant in both models. Conclusion: Healthcare infrastructure and services have been insignificant at reducing the recovered COVID cases and COVID deaths.
印度东北部各邦公共医疗服务与COVID-19评估:一项定量研究
导语:COVID-19已经造成了一场迫在眉睫的灾难,并带来了社会和经济的综合影响。这一流行病的社会经济影响是毁灭性的,数百万人口因此陷入贫困;近6.9亿人口营养不良。COVID-19要求有效的医疗保健来对抗这种疾病,然而,报告的数百万死亡表明公共医疗保健不足且没有做好准备。目的:分析公共卫生服务与新冠肺炎死亡的关系。研究方法:本研究采用了基本的描述性方法:平均值、百分比和相关性。为了分析医疗基础设施和医疗服务对COVID - 19死亡的影响,使用了多元线性回归模型。结果:COVID死亡与医疗基础设施和服务之间存在高度正相关。分中心和区医院对COVID - 19死亡人数的影响为负但不显著,参数估计值分别为-1.07108和-166.458。社区卫生中心和初级卫生中心对COVID - 19死亡人数的影响为正但不显著,参数估计值分别为10.28023和11.60391。护士和药师(PHC和chc)的影响为负且不显著,参数估计分别为-1.4027和-3.38527。医生(PHC)和实验室技术人员(PHC和CHC)的参数估计值分别为6.124071和5.347605,其正向影响不显著。两种模型的f统计值均显著。结论:医疗基础设施和服务在减少COVID - 19康复病例和COVID - 19死亡方面效果不显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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