This model demonstrates the relationship between the covid-19 outbreak, government policy, and economic impacts. This model was developed based on SIR model (Susceptible, Infection, Recovery). The model also outlines the policies been implemented by the government to cope with Covid-19 pandemic and
This model demonstrates the relationship between the covid-19 outbreak, government policy, and economic impacts. This model was developed based on SIR model (Susceptible, Infection, Recovery). The model also outlines the policies been implemented by the government to cope with Covid-19 pandemic and it also indicate its economic impact. 
Interesting insights
This model indicates the government policies have had positive influence on economic impact and it reduce its negative effects on the economy.
 Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.  The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus.

The initial parametrization is based on the suggested current data. The initial population is set for Catalonia.

 Model of Covid-19 outbreak in Burnie, Tasmania     Balancing Health and Economy factor Vaccination rate will help to recovered more people and decrease the immunity loss rate.        Additionally. The lack of food during the covid-19 pandemic still an obstacle for economic development.     In somew
Model of Covid-19 outbreak in Burnie, Tasmania

Balancing Health and Economy factor
Vaccination rate will help to recovered more people and decrease the immunity loss rate.


Additionally. The lack of food during the covid-19 pandemic still an obstacle for economic development.

In someway, Health balancing in every people will help to shut down covid-19 and help economic development even grow up faster.


 ==edited by Prasiantoro Tusono and Rio Swarawan Putra==     Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.      With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.     We start with a
==edited by Prasiantoro Tusono and Rio Swarawan Putra==

Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

Resources:
 ​Modelo Epidemiológico para os Casos de Covid-19     Insigh Authors:  Luis Felipe (UFSM)  Carlos Heitor (UFSM)  Paulo Vilella (UFJF)
​Modelo Epidemiológico para os Casos de Covid-19

Insigh Authors:
Luis Felipe (UFSM)
Carlos Heitor (UFSM)
Paulo Vilella (UFJF)