A Fuzzy Time Series Prediction Model of the COVID-19 Epidemic

In our study, a number of time series analysis techniques are applied to the COVID-19 epidemic data The result of the analysis is used to develop three single variable fuzzy time series models from the dataset of day to day newly confirmed cases of the virus in certain countries Those developed models are later applied on infected cases of the countries that are not used before in model development This helps in appropriate model selection for prediction of cases for unseen countries The forecasted results are then compared and analyzed in detail with different performance metric The time series analysis process described in this article can be used to better understand the epidemic trend of a particular country and help the government plan better intervention policies © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd