Title
Analyzing the Impact of Demographic Variables on Spreading and Forecasting COVID-19
Abstract
The aim of this study is to analyse the coronavirus disease 2019 (COVID-19) outbreak in Bangladesh. This study investigates the impact of demographic variables on the spread of COVID-19 as well as tries to forecast the COVID-19 infected numbers. First of all, this study uses Fisher’s Exact test to investigate the association between the infected groups of COVID-19 and demographical variables. Second, it exploits the ANOVA test to examine significant difference in the mean infected number of COVID-19 cases across the population density, literacy rate, and regions/divisions in Bangladesh. Third, this research predicts the number of infected cases in the epidemic peak region of Bangladesh for the year 2021. As a result, from the Fisher’s Exact test, we find a very strong significant association between the population density groups and infected groups of COVID-19. And, from the ANOVA test, we observe a significant difference in the mean infected number of COVID-19 cases across the five different population density groups. Besides, the prediction model shows that the cumulative number of infected cases would be raised to around 500,000 in the most densely region of Bangladesh, Dhaka division.
Year
DOI
Venue
2022
10.1007/s41666-021-00105-8
Journal of Healthcare Informatics Research
Keywords
DocType
Volume
Infected cases, COVID-19, Fisher’s Exact test, ANOVA test, Holt’s method
Journal
6
Issue
ISSN
Citations 
1
2509-4971
0
PageRank 
References 
Authors
0.34
4
7
Name
Order
Citations
PageRank
Omar Sharif100.34
Md Rafiqul Islam200.34
Md Zobaer Hasan300.34
Muhammad Ashad Kabir49018.81
Md Emran Hasan500.34
Salman A. Al-qahtani62610.53
Guandong Xu78418.83