Open AccessA Data Driven Model for Prediction of COVID-19 Outbreak in Bangladesh
Author(s) -
Tapan Kumar Roy,
Brijesh Singh
Publication year - 2020
Publication title -
bangladesh journal of infectious diseases
Language(s) - English
Resource type - Journals
eISSN - 2411-670X
pISSN - 2411-4820
DOI - 10.3329/bjid.v7i1.48673
Subject(s) - pandemic , outbreak , covid-19 , china , virus diseases , ebola virus , nationality , geography , disease , infectious disease (medical specialty) , demography , economic growth , development economics , immigration , medicine , virology , virus , economics , sociology , archaeology , pathology
COVID-19 disease due to Corona virus of type SARS-CoV-2 has emerged from Wuhan, China in December 2019 and now it has expanded through infection all over the world. Now-a-days, this is a disaster pandemic for almost every nation in the earth. Such novel Corona virus impacts on every country in the world without regarding country's race, nationality and economic status. In this study, an attempt has been made to propose a data driven model to know the present and future Corona virus situation of Bangladesh. It also predicts the cumulative infected people, disease propagation, doubling time and new cases of COVID-19 patients. The result shows that more than two lakh fifty thousand people will be infected by Corona virus and its effect will start to decrease by the mid of July and decline to disappear by the end of August. This study will help policy makers to take plan for healthcare system and management of various aspects related to the control and prevention of Corona virus outspread in Bangladesh.
Bangladesh Journal of Infectious Diseases 2020;7(1):22-26