Forecasting the spread of the third wave of COVID-19 pandemic using time series analysis in Bangladesh

Informatics in Medicine Unlocked - Tập 28 - Trang 100815 - 2022
Hafsa Binte Kibria1, Oishi Jyoti1, Abdul Matin1
1Department of Electrical & Computer Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh

Tài liệu tham khảo

2021 Surveillances, 2020, The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19)—China, 2020, China CDC Weekly, 2, 113, 10.46234/ccdcw2020.032 Haghani, 2020, The scientific literature on coronaviruses, COVID-19 and its associated safety-related research dimensions: A scientometric analysis and scoping review, Saf Sci, 129, 10.1016/j.ssci.2020.104806 Kumar, 2020, Covid-19 pandemic prediction using time series forecasting models, 1 2021 Mahalle, 2020 Alzahrani, 2020, Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions, J Infection Public Health, 13, 914, 10.1016/j.jiph.2020.06.001 Sahai, 2020, Arima modelling & forecasting of COVID-19 in top five affected countries, Diabetes Metab Syndr: Clin Res Rev, 14, 1419, 10.1016/j.dsx.2020.07.042 Khan, 2020, ARIMA and NAR based prediction model for time series analysis of COVID-19 cases in India, J Safety Sci Resilience, 1, 12, 10.1016/j.jnlssr.2020.06.007 Chowdhury, 2021, Analysis and prediction of COVID-19 pandemic in Bangladesh by using ANFIS and LSTM network, Cogn Comput, 13, 761, 10.1007/s12559-021-09859-0 Kufel, 2020, Arima-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries, Equilib Q J Econ Econ Policy, 15, 181 Dehesh, 2020 Tandon, 2020 Ceylan, 2020, Estimation of COVID-19 prevalence in Italy, Spain, and France, Sci Total Environ, 729, 10.1016/j.scitotenv.2020.138817 Kumar, 2020, Spreading of COVID-19 in India, Italy, Japan, Spain, UK, US: a prediction using ARIMA and LSTM model, Digit Gov: Res Practice, 1, 1, 10.1145/3411760 Kundu, 2021, Forecasting the spread of COVID-19 pandemic in Bangladesh using arima model, Asian J Med Biol Res, 7, 21, 10.3329/ajmbr.v7i1.53305 Bayyurt, 2020 Barría-Sandoval, 2021, Prediction of confirmed cases of and deaths caused by COVID-19 in Chile through time series techniques: A comparative study, Plos One, 16, 10.1371/journal.pone.0245414 Banerjee, 2014, Forecasting of Indian stock market using time-series ARIMA model, 131 Meher, 2021, Forecasting stock market prices using mixed ARIMA model: A case study of Indian pharmaceutical companies, Invest Manag Financial Innov, 18, 42, 10.21511/imfi.18(1).2021.04 Ariyo, 2014, Stock price prediction using the ARIMA model, 106 Shivhare, 2019, ARIMA based daily weather forecasting tool: A case study for varanasi, MAUSAM, 70, 133, 10.54302/mausam.v70i1.179 Devi, 2013, An effective time series analysis for stock trend prediction using ARIMA model for nifty midcap-50, Int J Data Min Knowl Manag Process, 3, 65, 10.5121/ijdkp.2013.3106 Anokye, 2018, Time series analysis of malaria in Kumasi: Using ARIMA models to forecast future incidence, Cogent Soc Sci, 4 Anwar, 2016, Time series analysis of malaria in Afghanistan: using ARIMA models to predict future trends in incidence, Malar J, 15, 1, 10.1186/s12936-016-1602-1 Pinter, 2020 Tomar, 2020, Prediction for the spread of COVID-19 in India and effectiveness of preventive measures, Sci Total Environ, 728, 10.1016/j.scitotenv.2020.138762