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NCT04757870 Clinical Trial

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

COVID19 Clinical Trial

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

Clinical Trial Details — Status: Not yet recruiting

Administrative data
NCT number NCT04757870
Other study ID # KCU_16022021
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date March 1, 2021
Est. completion date December 31, 2021

Study information
Verified date February 2021
Source Izmir Katip Celebi University
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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).

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.

Recruitment information / eligibility
Status Not yet recruiting
Enrollment 1790
Est. completion date December 31, 2021
Est. primary completion date June 30, 2021
Accepts healthy volunteers No
Gender All
Age group N/A and older
Eligibility Inclusion Criteria: - All recorded cases by the authority Exclusion Criteria: - None

Study Design

Related Conditions & MeSH terms

Intervention

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

Locations
Country Name City State
n/a

Sponsors (3)
Lead Sponsor Collaborator
Dr. Servet Akar Dokuz Eylul University, Hacettepe University

Outcome
Type Measure Description Time frame Safety issue
Primary Occurence The frequency of infection according to publicly available data december 2020
Secondary Mortality The mortality of infection according to publicly available data december 2020
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