North South University Research Portal

Authors

Keywords

COVID-19; Corona Virus; Data; Socio-economic Data; Demographic Data; Environmental Data; Governance Data; Political Data; Data

Title : An Overview of COVID-19 Data Requirements for Business and Economics Research

Authors : Gour Gobinda Goswami , KH Habibur Rahman , Khaled Md. Saifullah

Journal Title: North South Journal of Peace and Global Studies	Volume Number: 1	Publication Year : 2023	Issue Number: 1
Index: indexed	Ranking: No Ranking	ISSN: 3005-0584	Publisher Name: North South University Center for Peace Studies
Pages : 13-53
ISBN : 3005-0592

**Funding Information:**
Funding Source : None

**Other Information:**
Direct Sustainable Development Goals : SDG3 Good Health & Well-being	Indirect Sustainable Development Goals : SDG3 Good Health & Well-being	Sustainable Development Sub Goals : End preventable deaths of newborns and children under 5 years of age End the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases Reduce premature mortality from non-communicable diseases and promote mental health and well-being Achieve universal health coverage
Impact statement: Mainstream research on COVID-19 appears to favor clinical studies dominated by medical, health, or public health disciplines. But considering the overall dimensions of COVID-19 and its linkages to the recessionary impact on society’s business and economic aspects, nonmedical data are increasingly important for examining the effects on society, the environment, politics, economics, and business conditions across countries. As a result, a broad review of data on the overall impact of COVID-19 across different aspects is needed so that policymakers can find an appropriate policy mix to address this pandemic. This article provides a thorough review of existing datasets in this area. We have identified and categorized five types of COVID-19-related data: international, country-level, sub-national, community-level, and closely related. The primary purpose of this review article is to identify and validate the most legitimate data sources available on the COVID-19 pandemic to guide future researchers and policymakers in using more accurate data in policy development and research. As an anecdote, the paper has also identified issues with the data used in business and economic analyses of COVID-19.	Collaboration: Other	Keywords: COVID-19; Corona Virus; Data; Socio-economic Data; Demographic Data; Environmental Data; Governance Data; Political Data; Data

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