Covid19 analytics

All population	Older 65+
Realistic prediction two months ago	Most catastrophic scenario two months ago
Prediction 16.12.2020	Prediction 65+ 16.12.2020
Incidences 16.12.2020	Incidences 65+ 16.12.2020
Table of model 13.12.2020	7 day centered averages 16.12.2020
Modeling 16.12.2020 You’re probably wondering which model am I using? I modulate with successive waves of infections accumulating over the previous one. Approximates by the method of least squares and boundary conditions. It is very stable and flexible and finds data errors quickly. Border conditions are very important because they correct errors in official data. I’m not guessing, the covid 19 virus is very predictable and can be beaten!.	Occupancy hospitals and real needs 16.12.2020
Infected, died, active and cured daily according to the number of infected 15.12.2020	There is a formula to calculate truly newly infected even from targeted testing as it is performed today! 18.12.2020

Infection Formulas 11.12.2020	Deaths Formulas 11.12.2020
Occupancy of Covid19 Hospitals 14.12.2020	Comparison of deaths with the National Institute of Public Health
Error of formula 13.12.2020	Error of formula 65+16.12.2020
7-day centered averages 14.12.2020
Covid19 by ages	Symptoms by ages
Symptoms and Covid19 by ages	The percentage of detected infected until the day