Background: COVID-19 is a transmissible viral disease that has spread around the world rapidly and is currently a significant thread to developing and impoverished country by the World Bank and WHO’s prediction. Without inventing vaccination or the proper treatment, how we control the transmission of the COVID-19 is one of the most important questions with which peoples are facing right now . By the WHO’s guidelines, some policies termed as isolation, quarantine, lockdown, and social distancing would give a stunning direction to control the epidemic outbreak.
Methods: In this paper, we developed a mathematical model named “Social distancing SEIQR model” to reduce the basic reproduction number R0 by combining both quarantine and social distancing parameters based on the real cases where medical equipment and other resources are limited.
Results: Our modeling basic reproduction number R 0 is an almost accurate predictor threshold to assess the transmissibility of the COVID-19 in Bangladesh. Our modeling basic reproduction number R0 is an almost accurate predictor threshold to assess the transmissibility of the COVID-19 in Bangladesh. Our study result showed, our model fitted well with the numerically simulated results to the reported COVID-19 cases data for Bangladesh by a linear regression polynomial fit analysis.
Conclusion: Our model will help to find strategies to reduce the human-to-human transmission of the virus and protect the nation when a country has limited medical resources.