Abstract:
This particular study is about data analysis of the coronavirus situation in Bangladesh
by applying Machine Learning. The sole objective of our paper is to analyze the data
and to find out the outcome of people's concern about covid-19. The population density
of Bangladesh is 1,116 people per square kilometer. As a densely populated country, it
is highly impossible to stop the spreading of the infectious coronavirus. But our study
would certainly guide us to ward off as we would be able to identify whether our
government is taking the right steps for the rapid spreading of coronavirus. The very
first case of covid-19 in Bangladesh was reported on 8th March 2020. Since that day,
the transmission of the virus has been growing. The growth has sometimes been upward
and sometimes being downward. COVID-19 was declared a Public Health Emergency
of International Concern (PHEIC) by the World Health Organization (WHO) on
January 30, 2020. It has always been so hard to detect the actual state of the spreading
of the virus. The study would help the authorities to take advance action by interpreting
the patterns which have been collected from various types of people in all over
Bangladesh. This would find out the infected risk on coronavirus depending on the
human behavior. On the other hand, using our data analysis, the government will be
able to notice what the public want from them.
