{"paper":{"title":"COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.MA","cs.SI"],"primary_cat":"cs.CY","authors_text":"Abhinav Sharma, Akshay Patel, Andrew Williams, Bernhard Sch\\\"olkopf, Christopher Pal, David Buckeridge, Eilif B. Muller, Ga\\'etan Marceau Caron, Hannah Alsdurf, Irina Rish, Jian Tang, Joanna Merckx, Joumana Ghosn, Marc-Andre Rousseau, Martin Weiss, Meng Qu, Nanor Minoyan, Nasim Rahaman, Olexa Bilaniuk, Pierre Luc Carrier, Pierre-Luc St. Charles, Prateek Gupta, Satya Ortiz-Gagn\\'e, Soren Harnois-Leblanc, Tegan Maharaj, Tristan Deleu, Victor Schmidt, Yang Zhang, Yoshua Bengio","submitted_at":"2020-10-30T00:47:01Z","abstract_excerpt":"The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) methods have emerged as a component of the solution. In order to make informed public health choices, there is a need for tools which allow evaluation and comparison of DCT methods. We introduce an agent-based compartmental simulator we call COVI-AgentSim, integrating detailed consideration of virology, disease progression, social contact networks, and mobility patterns, based on parameters derived from empirical research."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.16004","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2010.16004/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}