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Articles

Prediction and forecasting of COVID-19 outbreak using regression and ARIMA models

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Ravi Prakash Chaturvedi & Udayan Ghose. (2022) Small object detection using retinanet with hybrid anchor box hyper tuning using interface of Bayesian mathematics. Journal of Information and Optimization Sciences 43:8, pages 2099-2110.
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Md. Ashraful Babu, Md. Mortuza Ahmmed, Md. Abu Helal & M. A. Hoque. (2022) The FBProphet forecasting model to evaluate the spread of COVID-19 pandemic: A machine learning approach. Journal of Interdisciplinary Mathematics 25:7, pages 2073-2082.
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Articles from other publishers (5)

Atikur R. Khan, Abdul Hannan Chowdhury & Rahmatullah Imon. (2023) Deep neural network for monitoring the growth of COVID-19 epidemic using meteorological covariates. Intelligent Systems with Applications 18, pages 200234.
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Myrsini Ntemi, Ioannis Sarridis & Constantine Kotropoulos. (2023) An Autoregressive Graph Convolutional Long Short-Term Memory Hybrid Neural Network for Accurate Prediction of COVID-19 Cases. IEEE Transactions on Computational Social Systems 10:2, pages 724-735.
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Xiangliang Zhang, Rong Yin, Meng Zheng, Di Kong & Wen Chen. (2023) Impact of COVID-19 on health services utilization in mainland China and its different regions based on S-ARIMA predictions. PLOS Global Public Health 3:1, pages e0001044.
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Mohammad Javad Shaibani, Sara Emamgholipour & Samira Sadate Moazeni. (2021) Investigation of robustness of hybrid artificial neural network with artificial bee colony and firefly algorithm in predicting COVID-19 new cases: case study of Iran. Stochastic Environmental Research and Risk Assessment 36:9, pages 2461-2476.
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Elizabeth Jordan, Delia E. Shin, Surbhi Leekha & Shapour Azarm. (2021) Optimization in the Context of COVID-19 Prediction and Control: A Literature Review. IEEE Access 9, pages 130072-130093.
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