Macro-scale Estimators of Covid-19's Worldwide Cases and Deaths
NCT ID: NCT04757870
Last Updated: 2021-02-18
Study Results
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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UNKNOWN
1790 participants
OBSERVATIONAL
2021-03-01
2021-12-31
Brief Summary
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Detailed Description
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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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Study Design
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OTHER
OTHER
Interventions
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frequency
Macro-scale risk factors for the frequency of and mortality of infection
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
ALL
No
Sponsors
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Dokuz Eylul University
OTHER
Hacettepe University
OTHER
Dr. Servet Akar
OTHER
Responsible Party
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Dr. Servet Akar
MD, Prof of Medicine
Other Identifiers
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KCU_16022021
Identifier Type: -
Identifier Source: org_study_id
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