{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:O7GETASWBC727XIDWAGLHBDKE6","short_pith_number":"pith:O7GETASW","schema_version":"1.0","canonical_sha256":"77cc49825608bfafdd03b00cb3846a2790f2d4ebc387e8d6b212df10df849644","source":{"kind":"arxiv","id":"1903.07503","version":1},"attestation_state":"computed","paper":{"title":"Efficient vaccination strategies for epidemic control using network information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph","q-bio.PE"],"primary_cat":"stat.AP","authors_text":"Ashley McKhann, Guy Harling, Jukka-Pekka Onnela, Sixing Chen, Yingrui Yang","submitted_at":"2019-03-18T15:22:09Z","abstract_excerpt":"Network-based interventions against epidemic spread are most powerful when the full network structure is known. However, in practice, resource constraints require decisions to be made based on partial network information. We investigated how the accuracy of network data available at individual and village levels affected network-based vaccination effectiveness. We simulated a Susceptible-Infected-Recovered process on empirical social networks from 75 villages. First, we used regression to predict the percentage of individuals ever infected based on village-level network. Second, we simulated v"},"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":"1903.07503","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2019-03-18T15:22:09Z","cross_cats_sorted":["physics.soc-ph","q-bio.PE"],"title_canon_sha256":"d14fb083d8a1a9cddbfc110b8fb5e27b7658b17bf652c808763a236c07ea9ead","abstract_canon_sha256":"963b5432817757cd47ca0a7b8a38ee4593ca5413ec92c226a02236985ada18a4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:01.237524Z","signature_b64":"vtXZqqH+EV8JPednUWkGee23nQ8Q1jLVqyp95ggoa6/qOaQInyJBFyRVneLAzaSST/38eJWcwgcXyP968dPcBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77cc49825608bfafdd03b00cb3846a2790f2d4ebc387e8d6b212df10df849644","last_reissued_at":"2026-05-17T23:51:01.236807Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:01.236807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient vaccination strategies for epidemic control using network information","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.soc-ph","q-bio.PE"],"primary_cat":"stat.AP","authors_text":"Ashley McKhann, Guy Harling, Jukka-Pekka Onnela, Sixing Chen, Yingrui Yang","submitted_at":"2019-03-18T15:22:09Z","abstract_excerpt":"Network-based interventions against epidemic spread are most powerful when the full network structure is known. However, in practice, resource constraints require decisions to be made based on partial network information. We investigated how the accuracy of network data available at individual and village levels affected network-based vaccination effectiveness. We simulated a Susceptible-Infected-Recovered process on empirical social networks from 75 villages. First, we used regression to predict the percentage of individuals ever infected based on village-level network. Second, we simulated v"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.07503","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":""},"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":"1903.07503","created_at":"2026-05-17T23:51:01.236935+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.07503v1","created_at":"2026-05-17T23:51:01.236935+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.07503","created_at":"2026-05-17T23:51:01.236935+00:00"},{"alias_kind":"pith_short_12","alias_value":"O7GETASWBC72","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_16","alias_value":"O7GETASWBC727XID","created_at":"2026-05-18T12:33:24.271573+00:00"},{"alias_kind":"pith_short_8","alias_value":"O7GETASW","created_at":"2026-05-18T12:33:24.271573+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/O7GETASWBC727XIDWAGLHBDKE6","json":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6.json","graph_json":"https://pith.science/api/pith-number/O7GETASWBC727XIDWAGLHBDKE6/graph.json","events_json":"https://pith.science/api/pith-number/O7GETASWBC727XIDWAGLHBDKE6/events.json","paper":"https://pith.science/paper/O7GETASW"},"agent_actions":{"view_html":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6","download_json":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6.json","view_paper":"https://pith.science/paper/O7GETASW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.07503&json=true","fetch_graph":"https://pith.science/api/pith-number/O7GETASWBC727XIDWAGLHBDKE6/graph.json","fetch_events":"https://pith.science/api/pith-number/O7GETASWBC727XIDWAGLHBDKE6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6/action/storage_attestation","attest_author":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6/action/author_attestation","sign_citation":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6/action/citation_signature","submit_replication":"https://pith.science/pith/O7GETASWBC727XIDWAGLHBDKE6/action/replication_record"}},"created_at":"2026-05-17T23:51:01.236935+00:00","updated_at":"2026-05-17T23:51:01.236935+00:00"}