Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic

Applying the Gray Incidence Analysis Model

Datos Bibliográficos

ID22084144
AutoresTehmina Fiaz Qazi (0000-0002-8082-5293, University of the Punjab, autor de correspondencia), Muhammad Zeeshan Shaukat (University of Central Punjab, autor de correspondencia), Abdul Aziz Khan Niazi (0000-0002-3071-2012, University of Engineering and Technology Lahore), Abdul Basit (0000-0003-3324-6296)
Año2021
Volumen9
Páginas635121-635121
Fecha de publicación2021-07-15
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaFrontiers in Public Health (JOURNAL)
Identificadores de la revistaISSN: 2296-2565 • E-ISSN: 2296-2565
EditorialFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2021.635121
PMID34336753
OpenAlexW3187454638
IdiomaEN
Referencias citadas41

The purpose of the study is to evaluate county-wide health systems using the data set of the first wave of the COVID-19 pandemic. The overall design of study comprises a literature review, secondary data, and a mathematical analysis. It is a cross-sectional quantitative study following a deductive approach. It uses the data of the first wave of the COVID-19 pandemic taken from the website of Worldometer as of April 8, 2020. The study uses a gray incidence analysis model (commonly known as Gray Relational Analysis, i.e., GRA) as its research methodology. On the basis of the results of GRA, a classification has been made under a predetermined scheme of ensigns: much better, better, somewhat better, fair, poor, somewhat worse, and worse health systems. There are a total 211 countries that have been divided into the seven aforementioned categories. Findings of the study show that Southern Africa Development Community (SADC) countries fall predominantly under the much better ensign, whereas Organization for Economic Co-operation and Development (OECD), Schengen Area (SA), and/or European Union (EU) countries fall under the worse ensign. Pakistan falls under the ensign of poor . It is an original attempt to evaluate the response of health systems based on real data using a scientific methodology. The study provides valuable information about the health systems of the countries for forming an informed opinion about the health systems herein. The study provides useful new information for stakeholders and a new framework for future research

Business · Data science · European union · Operations research · Pandemic · Computer Science · COVID-19 epidemiological studies · COVID-19 Pandemic Impacts · Engineering · Healthcare Systems and Reforms · Medicine