December 12, 2021 conference-paper DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions Winter Simulation Conference DOI: 10.1109/wsc52266.2021.9715507 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 4 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020 2020 Eurosurveillance article Mathematics COVID-19 epidemiological studies Open access 653 citations Estimating the generation interval for COVID-19 based on symptom onset data 2020 medRxiv preprint Mathematics COVID-19 epidemiological studies Open access 170 citations 2 results