Modelling COVID-19 in India

Further Research
One limitation of this research is that the model was too simplistic and made too many assumptions.
In conducting further research, a different country could be selected and used in making predictions in other countries with high covid cases such as USA and France.
We could also analyse countries like Norway that took drastic measure against the spread of the virus and others like Albania that did not to analyse how factors like masking and social distancing affect the infection rate.
The elements that contributed to the undetected spread of the COVID-19 is another area worth investigating. . The truth is that some people who have the have symptoms of the COVID-19 avoid going to medical facilities and refuse to self-isolate. As a result, the model may occasionally exaggerate or underestimate the transmission of the virus. In addition, the assumption was made that those who recover from COVID-19 are immune but in reality they can be re-infected. The model can adjusted to account for this.
.png)



Model that accounts for re-infection