{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:Z347RG7EX2JZDISIG6F6MOVTU2","short_pith_number":"pith:Z347RG7E","schema_version":"1.0","canonical_sha256":"cef9f89be4be9391a248378be63ab3a6a6f48764f87321ca3849625652c8827c","source":{"kind":"arxiv","id":"2406.12002","version":2},"attestation_state":"computed","paper":{"title":"Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NA","math.NA","physics.soc-ph"],"primary_cat":"q-bio.PE","authors_text":"Ning Jiang, Weiqi Chu, Yao Li","submitted_at":"2024-06-17T18:13:57Z","abstract_excerpt":"Classical compartmental models in epidemiology often assume a homogeneous population for simplicity, which neglects the inherent heterogeneity among individuals. This assumption frequently leads to inaccurate predictions when applied to real-world data. For example, evidence has shown that classical models overestimate the final pandemic size in the H1N1-2009 and COVID-19 outbreaks. To address this issue, we introduce individual mobility as a key factor in disease transmission and control. We characterize disease dynamics using mobility distribution functions for each compartment and propose a"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2406.12002","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.PE","submitted_at":"2024-06-17T18:13:57Z","cross_cats_sorted":["cs.LG","cs.NA","math.NA","physics.soc-ph"],"title_canon_sha256":"6e93f62c530ca25294671e3cb2a0aa6d3c9a6e195f1433edbab8df1fc1c6b8ed","abstract_canon_sha256":"9a3b6ee02135bfdfd0d68b304ee26a94913c6fc07ad98e52dd33f3b41bbf8d13"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:03:54.006799Z","signature_b64":"/e3YZRpDccPgJUD1p6bONVKruowx5MCy5k1jyXEW51jXW4+3pJrtXEqsONiWJtYbakdizqmN3WEK5XXFV7gYAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cef9f89be4be9391a248378be63ab3a6a6f48764f87321ca3849625652c8827c","last_reissued_at":"2026-07-05T09:03:54.006336Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:03:54.006336Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Modeling, Inference, and Prediction in Mobility-Based Compartmental Models for Epidemiology","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NA","math.NA","physics.soc-ph"],"primary_cat":"q-bio.PE","authors_text":"Ning Jiang, Weiqi Chu, Yao Li","submitted_at":"2024-06-17T18:13:57Z","abstract_excerpt":"Classical compartmental models in epidemiology often assume a homogeneous population for simplicity, which neglects the inherent heterogeneity among individuals. This assumption frequently leads to inaccurate predictions when applied to real-world data. For example, evidence has shown that classical models overestimate the final pandemic size in the H1N1-2009 and COVID-19 outbreaks. To address this issue, we introduce individual mobility as a key factor in disease transmission and control. We characterize disease dynamics using mobility distribution functions for each compartment and propose a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12002","kind":"arxiv","version":2},"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/2406.12002/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2406.12002","created_at":"2026-07-05T09:03:54.006394+00:00"},{"alias_kind":"arxiv_version","alias_value":"2406.12002v2","created_at":"2026-07-05T09:03:54.006394+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12002","created_at":"2026-07-05T09:03:54.006394+00:00"},{"alias_kind":"pith_short_12","alias_value":"Z347RG7EX2JZ","created_at":"2026-07-05T09:03:54.006394+00:00"},{"alias_kind":"pith_short_16","alias_value":"Z347RG7EX2JZDISI","created_at":"2026-07-05T09:03:54.006394+00:00"},{"alias_kind":"pith_short_8","alias_value":"Z347RG7E","created_at":"2026-07-05T09:03:54.006394+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2","json":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2.json","graph_json":"https://pith.science/api/pith-number/Z347RG7EX2JZDISIG6F6MOVTU2/graph.json","events_json":"https://pith.science/api/pith-number/Z347RG7EX2JZDISIG6F6MOVTU2/events.json","paper":"https://pith.science/paper/Z347RG7E"},"agent_actions":{"view_html":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2","download_json":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2.json","view_paper":"https://pith.science/paper/Z347RG7E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2406.12002&json=true","fetch_graph":"https://pith.science/api/pith-number/Z347RG7EX2JZDISIG6F6MOVTU2/graph.json","fetch_events":"https://pith.science/api/pith-number/Z347RG7EX2JZDISIG6F6MOVTU2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2/action/storage_attestation","attest_author":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2/action/author_attestation","sign_citation":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2/action/citation_signature","submit_replication":"https://pith.science/pith/Z347RG7EX2JZDISIG6F6MOVTU2/action/replication_record"}},"created_at":"2026-07-05T09:03:54.006394+00:00","updated_at":"2026-07-05T09:03:54.006394+00:00"}