When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes

13 May 2020

Papers citing "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes"

6 / 6 papers shown

Title
MSGNN: Multi-scale Spatio-temporal Graph Neural Network for Epidemic Forecasting Mingjie Qiu Zhiyi Tan Bingkun Bao 38 6 0 30 Aug 2023
Differentiable Agent-based Epidemiology Ayush Chopra Alexander Rodríguez J. Subramanian Arnau Quera-Bofarull Balaji Krishnamurthy B. Prakash Ramesh Raskar AI4CE 25 19 0 20 Jul 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 31 18 0 19 Jul 2022
Predicting infections in the Covid-19 pandemic -- lessons learned Sharare Zehtabian Siavash Khodadadeh D. Turgut Ladislau Bölöni 20 2 0 02 Dec 2021
Modeling Effect of Lockdowns and Other Effects on India Covid-19 Infections Using SEIR Model and Machine Learning Sathiyanarayanan Sampath Joy Bose 11 1 0 04 Oct 2021
Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation Agnieszka Słowik Léon Bottou FaML 45 19 0 17 Jun 2021