Macro-scale Estimators of Covid-19's Worldwide Cases and Deaths

NCT04757870 — Unknown, 1790 participants, Dr. Servet Akar

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Determination of the Macro Scale Risk Factors in COVID19 Occurrence and Mortality

Registry	NCT04757870
Status	Unknown
Study type	Observational
Enrollment	1790 (Estimated)
Sponsor	Dr. Servet Akar (Other); collaborators: Dokuz Eylul University, Hacettepe University
Conditions	COVID19
Interventions	frequency (Other)
Dates	start 2021-03-01 (estimated), primary completion 2021-06-30 (estimated), completion 2021-12-31 (estimated), first posted 2021-02-17, last updated 2021-02-18

-Summary

In this study, investigators try to estimate Covid-19 Cases and Deaths using countrywide annual macro-scale indicators (i.e., estimators) such as non-communicable disease data from WHO (who. int), social and economical indicators from UN (un.org) and Worldbank (worldbank.org), and Covid-19 Cases and Deaths from Worldometer (https://www.worldometers.info).

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+Detailed description

There are some known risk factors for the emergence and mortality of Covid-19 cases. There are also some regulations and recommendations by healthcare executives and government officers such as wearing masks, social distance, staying at home, lockdowns, and so forth. On the other hand, there could be other social, economic, and health-related factors in the society level that discriminate between countries significantly in terms of having considerable differences regarding both the frequency and mortality of Covid-19. The aim of the present study is to find out these social, economic, and health-related factors that could explain some significant portion of Covid-19 cases and deaths worldwide.

This study involves 171 countries of which required datasets are commonly available in the UN, Worldometer, and WHO. The investigators will obtain macro-scale indicators like non-communicable disease data from WHO (who. int), social and economical indicators from UN (un.org) and Worldbank (worldbank.org), and Covid-19 data from Worldometer (https://www.worldometers.info).

The investigators will conduct statistical data analysis and create predictive models in order to determine indicators. The investigators will also consider that possible different models for explaining Covid-19 Cases and mortality in both common and different estimators could explain the variations in countrywide deaths and cases.

+Arms and interventions

frequency (Other), also known as Demographic, geographic, health related factors etc: Macro-scale risk factors for the frequency of and mortality of infection

+Outcome measures

Primary outcomes

Occurence [december 2020]: The frequency of infection according to publicly available data

Secondary outcomes

Mortality [december 2020]: The mortality of infection according to publicly available data

+Eligibility

Sex: All

Inclusion Criteria:

* All recorded cases by the authority

Exclusion Criteria:

* None