Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis Model
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 a...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-07-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2021.635121/full |
| _version_ | 1818886060683296768 |
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| author | Tehmina Fiaz Qazi Muhammad Zeeshan Shaukat Abdul Aziz Khan Niazi Abdul Basit |
| author_facet | Tehmina Fiaz Qazi Muhammad Zeeshan Shaukat Abdul Aziz Khan Niazi Abdul Basit |
| author_sort | Tehmina Fiaz Qazi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T16:15:20Z |
| format | Article |
| id | doaj.art-3bc0f7b7f07d4c9ca968b0bd9c269e44 |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-12-19T16:15:20Z |
| publishDate | 2021-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-3bc0f7b7f07d4c9ca968b0bd9c269e442022-12-21T20:14:38ZengFrontiers Media S.A.Frontiers in Public Health2296-25652021-07-01910.3389/fpubh.2021.635121635121Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis ModelTehmina Fiaz Qazi0Muhammad Zeeshan Shaukat1Abdul Aziz Khan Niazi2Abdul Basit3Hailey College of Banking and Finance, University of the Punjab, Lahore, PakistanFaculty of Management Studies, University of Central Punjab, Lahore, PakistanInstitute of Business & Management, University of Engineering and Technology, Lahore, PakistanLahore Institute of Science and Technology, Lahore, PakistanThe 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.https://www.frontiersin.org/articles/10.3389/fpubh.2021.635121/fullCOVID-19 pandemicdeathsGRAgray incidence analysis modelhealth systemtests |
| spellingShingle | Tehmina Fiaz Qazi Muhammad Zeeshan Shaukat Abdul Aziz Khan Niazi Abdul Basit Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis Model Frontiers in Public Health COVID-19 pandemic deaths GRA gray incidence analysis model health system tests |
| title | Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis Model |
| title_full | Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis Model |
| title_fullStr | Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis Model |
| title_full_unstemmed | Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis Model |
| title_short | Evaluating the Immediate Response of Country-Wide Health Systems to the Covid-19 Pandemic: Applying the Gray Incidence Analysis Model |
| title_sort | evaluating the immediate response of country wide health systems to the covid 19 pandemic applying the gray incidence analysis model |
| topic | COVID-19 pandemic deaths GRA gray incidence analysis model health system tests |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2021.635121/full |
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