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

NCT ID: NCT04757870

Last Updated: 2021-02-18

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

1790 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-03-01

Study Completion Date

2021-12-31

Brief Summary

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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).

Detailed Description

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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.

Conditions

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COVID19

Study Design

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Observational Model Type

OTHER

Study Time Perspective

OTHER

Interventions

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frequency

Macro-scale risk factors for the frequency of and mortality of infection

Intervention Type OTHER

Other Intervention Names

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Demographic, geographic, health related factors etc

Eligibility Criteria

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Inclusion Criteria

* All recorded cases by the authority

Exclusion Criteria

* None
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Dokuz Eylul University

OTHER

Sponsor Role collaborator

Hacettepe University

OTHER

Sponsor Role collaborator

Dr. Servet Akar

OTHER

Sponsor Role lead

Responsible Party

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Dr. Servet Akar

MD, Prof of Medicine

Responsibility Role SPONSOR_INVESTIGATOR

Other Identifiers

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KCU_16022021

Identifier Type: -

Identifier Source: org_study_id

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