1. Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India
2. Macro-modelling and prediction of epidemic spread at community level
3. Andrew W Bartlow , Carrie Manore , Chonggang Xu , Kimberly A Kaufeld , Sara Del Valle , Amanda Ziemann, Geoffrey Fairchild, and Jeanne M Fair. 2019 . Forecasting zoonotic infectious disease response to climate change: mosquito vectors and a changing environment. Veterinary sciences 6, 2 (2019), 40. Andrew W Bartlow, Carrie Manore, Chonggang Xu, Kimberly A Kaufeld, Sara Del Valle, Amanda Ziemann, Geoffrey Fairchild, and Jeanne M Fair. 2019. Forecasting zoonotic infectious disease response to climate change: mosquito vectors and a changing environment. Veterinary sciences 6, 2 (2019), 40.
4. SIRSi compartmental model for COVID-19 pandemic with immunity loss
5. The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation