跳至主要内容
临床试验/NCT04757870
NCT04757870Unknown不适用

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

Dr. Servet Akar0 个研究点目标入组 1,790 人开始时间: 2021年3月1日最近更新:
适应症

试验速览

阶段
不适用
发起方
入组人数
1,790
主要终点
Occurence

研究概览

简要总结

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).

详细描述

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.

研究设计

研究类型
Observational
观察模型
Other
时间视角
Other

入排标准

性别
All
接受健康志愿者

入选标准

  • All recorded cases by the authority

排除标准

  • 未提供

结局指标

主要结局

Occurence

时间窗: december 2020

The frequency of infection according to publicly available data

次要结局

  • Mortality(december 2020)

研究者

发起方
Dr. Servet Akar
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Dr. Servet Akar

MD, Prof of Medicine

Izmir Katip Celebi University

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