This model estimates the deaths due to COVID19 in Bangalore City. Assumptions:City has a population = 80 MillionInitial infected population = 10Probability of infection = 8%Contact rate in population = 6Average duration of recovery = 10 daysDeath rate = 1%Quarantine rate = 80%Delay in quarantine = 5 days

COVID19

COVID19 BMA 708

This model estimates the deaths due to COVID19 in Bangalore City. Assumptions:City has a population = 8 MillionInitial infected population = 10Probability of infection = 8%Contact rate in population = 6Average duration of recovery = 10 daysDeath rate = 1%Quarantine rate = 80%Delay in quarantine = 5 days

COVID19

Dieses SEIR Modell soll dazu dienen, den Ausbruch von Covid - 19 simulieren zu können.

COVID19 SRILANKA

The model here shows the COVID-19 outbreaks in Burnie Tasmania, which has impacted in the local economy. the relationship between COVID-19 and economic situation has been shown in the graph. Based on the susceptible analysis, people who usual go out are might have chance to meet susceptible people and have a high rate to be infected. The period of spreading can be controlled by keeping social distance and Government lockdown policy. 

Susceptible can be exposed by go out.  resident has a possibility to infect and be infected by others. people who might be die due to the lack of immunity. and others would recover and get the immune. 
Beside, the economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the employment rate will be increased and the economy situation will recover as well.   

COVID19 BMA708 Assignment3

Summary:This model shows the situation of Burnie in COVID 19. The assumed number of people death and recovered can be find in the model. It also shows how is the government policy influence the susceptible people and what factors will be affected by the government policy. 
Assumption:Most people follow the social distancing rule and a few people need quarantine. Economic growth rate is composed by industrial production, service industry and online economy. 
Interesting insight:Most infection happened in the group of people who do not follow the government policy. The online economy has a chance to growth fast during the COVID 19 period.   

COVID19 BMA 708

Health Care COVID19 Ejemplo

COVID19

The model here shows the COVID-19 outbreaks in Burnie Tasmania, which has impacted in the local economy. the relationship between COVID-19 and economic situation has been shown in the graph. Based on the susceptible analysis, people who usual go out are might have chance to meet susceptible people and have a high rate to be infected. The period of spreading can be controlled by keeping social distance and Government lockdown policy. 

Susceptible can be exposed by go out.  resident has a possibility to infect and be infected by others. people who might be die due to the lack of immunity. and others would recover and get the immune. 
Beside, the economy situation is proportionate to the recovery rate. If there are more recovery rate from the pandemic, the employment rate will be increased and the economy situation will recover as well.   

COVID19 BMA708 Assignment3