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The Covid-19 Pandemic

A Statistical Analysis

This event provoked chaos in modern society, where Scientists and Governments are trying to face an invisible enemy. Countries employed different "weapons" to take control of the virus spread. But why some Countries suffered so much and which Strategy worked well? Rumors spread faster than the truth. Public needs reliable answers. Predicta's Experts take advantage of Technology and Experience in Data Management to provide an in-depth Data Analysis, which will eventually come up with useful findings, helping us understand/confront and predict relative incidents in the future.

The data analyzed and the findings presented in this first version of the COVID-19 micro site, cover the period elapsed from the beginning of the pandemic, January 2020, until the end of November 2020. The data schema created for this analysis is continuously updated as new data become available and further results and findings will be presented in future versions of this microsite.

Cases per 1M Pop (end Nov. 2020)

LOWMEDIUMHIGH

Global Overview

First Day of Infection

01/12/2019

Countries

213

Global Population

7.672.512.111

62.779.735

Cases

8.183

Cases per 1M Pop

1.461.042

Deaths

190

Deaths per 1M Pop

2,3%

Mortality

96%

Deaths with Underlying Conditions

65,7%

Recovery

7,0%

Positivity

7,1

Estimated Real Cases Multiplier

7,0%

Population Immunity

6,3%

Estimated Excess Deaths due to Covid-19

Cases by Age Group

0-1920-2930-3940-4950-5960-6970-7911%20%19%16%15%9%5%80+5%

Cases by Gender

51%49%

Deaths by Gender

58%42%

Mortality Rate by Gender

3%2,1%

Median Age by Gender - (Cases & Deaths)

Age Ratios

Cases Median Age 45Population Median Age 381,41,2Cases 70 + age group (11%)Population 70 + age group (7%)Deaths Median Age 79Population Median Life Age 791,0