Dynamic Hybrid Model to Forecast the Spread of COVID-19 Using LSTM and Behavioral Models Under Uncertainty.To accurately predict the regional spread of coronavirus disease 2019 (COVID-19) infection, this study proposes a novel hybrid model, which combines a long short-term memory (LSTM) artificial recurrent neural network with dynamic behavioral models.  The hybrid model outperforms the LSTM model while accounting for data limitation. 
LSTM
The parameters of the hybrid models are optimized using a genetic algorithm for each country to improve the prediction power while considering regional properties. 
a genetic algorithm