Forecasting COVID-19 situation in Bangladesh

被引:0
作者
Nesa Mossamet Kamrun
Babu Md. Rashed
Khan Mohammad Tareq Mamun
机构
[1] Bangladesh
[2] Department of Statistics
[3] Moulvibazar 3203
[4] Moulvibazar Government Women College
[5] Shahjalal University of Science and Technology
[6] Sylhet 3114
关键词
COVID-19; ARIMA model; Forecast; Confirmed cases; Deaths; Recoveries;
D O I
暂无
中图分类号
R563.1 [肺炎]; R181.8 [疫情管理];
学科分类号
1002 ; 100201 ; 100401 ;
摘要
Forecasting the COVID-19 confirmed cases, deaths, and recoveries demands time to know the severity of the novel coronavirus. This research aims to predict all types of COVID-19 cases (verified people, deaths, and recoveries) from the deadliest 3rd wave data of the COVID-19 pandemic in Bangladesh. We used the official website of the Directorate General of Health Services as our data source. To identify and predict the upcoming trends of the COVID-19 situation of Bangladesh, we fit the Auto-Regressive Integrated Moving Average (ARIMA) model on the data from Mar. 01, 2021 to Jul. 31, 2021. The finding of the ARIMA model (forecast model) reveals that infected, deaths, and recoveries number will have experienced exponential growth in Bangladesh to October 2021. Our model reports that confirmed cases and deaths will escalate by four times, and the recoveries will improve by five times at a later point in October 2021 if the trend of the three scenarios of COVID-19 from March to July lasts. The prediction of the COVID-19 scenario for the next three months is very frightening in Bangladesh, so the strategic planner and field-level personnel need to search for suitable policies and strategies and adopt these for controlling the mass transmission of the virus.
引用
收藏
页码:6 / 10
页数:5
相关论文
共 12 条
  • [1] The Quixotic Task of Forecasting Peaks of COVID-19: Rather Focus on Forward and Backward Projections[J] . Reis Ruy Freitas,Oliveira Rafael Sachetto,Quintela Bárbara de Melo,Campos Joventino de Oliveira,Gomes Johnny Moreira,Rocha Bernardo Martins,Lobosco Marcelo,dos Santos Rodrigo Weber.Frontiers in Public Health . 2021
  • [2] Covid-19: Remdesivir has little or no impact on survival, WHO trial shows[J] . Dyer Owen.BMJ . 2020
  • [3] Characterization of the COVID-19 pandemic and the impact of uncertainties, mitigation strategies, and underreporting of cases in South Korea, Italy, and Brazil[J] . Ruy Freitas Reis,Bárbara de Melo Quintela,Joventino de Oliveira Campos,Johnny Moreira Gomes,Bernardo Martins Rocha,Marcelo Lobosco,Rodrigo Weber dos Santos.Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena . 2020 (prep)
  • [4] COVID-19: A Comparison of Time Series Methods to Forecast Percentage of Active Cases per Population[J] . Vasilis Papastefanopoulos,Pantelis Linardatos,Sotiris Kotsiantis.Applied Sciences . 2020 (11)
  • [5] Analysis and forecast of COVID-19 spreading in China, Italy and France[J] . Duccio Fanelli,Francesco Piazza.Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena . 2020 (C)
  • [6] Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020[J] . K. Roosa,Y. Lee,R. Luo,A. Kirpich,R. Rothenberg,J.M. Hyman,P. Yan,G. Chowell.Infectious Disease Modelling . 2020
  • [7] A novel coronavirus outbreak of global health concern[J] . Chen Wang,Peter W Horby,Frederick G Hayden,George F Gao.The Lancet . 2020 (1022)
  • [8] Statistical analysis of forecasting COVID-19 for upcoming month in Pakistan[J] . Muhammad Yousaf,Samiha Zahir,Muhammad Riaz,Sardar Muhammad Hussain,Kamal Shah.Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena . 2020 (prep)
  • [9] The SIR model and the foundations of public health .2 WeissH. Materials matematics . 2013
  • [10] Statistical Modeling and Forecast of the Corona-Virus Disease (Covid-19) in Burkina Faso .2 TraoreA,KonaneV,KonaneV.F. International Journal of Statistics and Probability9 . 2020