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).

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.

Inclusion Criteria:

• All recorded cases by the authority

Exclusion Criteria:

• None

COVID19 cases

During or after publication all the data could be share