COVID-19 Modeling for India and a Roadmap for the Future

Article Computer Science, Artificial Intelligence

Analysis and Prediction of COVID-19 Pandemic in Bangladesh by Using ANFIS and LSTM Network

Anjir Ahmed Chowdhury et al.

Summary: The dangerously contagious virus, COVID-19, has led to a global lockdown, prompting researchers to use machine learning techniques for predicting future trends to aid in controlling the outbreak. This study focuses on predicting daily new cases in Bangladesh using ANFIS and LSTM algorithms, with LSTM showing more satisfactory results.

COGNITIVE COMPUTATION (2021)

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Article Multidisciplinary Sciences

Spatio-temporal predictive modeling framework for infectious disease spread

Sashikumaar Ganesan et al.

Summary: A novel predictive modeling framework using high-dimensional partial differential equations is developed for predicting the spread of infectious diseases, covering parameters such as infected population, recovery, death, and immunity. This framework can be used for science-informed policy planning.

SCIENTIFIC REPORTS (2021)

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Review Automation & Control Systems