{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:H6C5VCVYZIFMJ4M2USSUHS2AUY","short_pith_number":"pith:H6C5VCVY","schema_version":"1.0","canonical_sha256":"3f85da8ab8ca0ac4f19aa4a543cb40a606c4ed0cddcd3af14988e2e8700f2a7c","source":{"kind":"arxiv","id":"1801.03125","version":1},"attestation_state":"computed","paper":{"title":"Mathematical modeling of cholera epidemics in South Sudan","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.PE","authors_text":"Andrea Rinaldo, Carla Sciarra, Damiano Pasetto, Francesco Laio","submitted_at":"2018-01-08T17:53:38Z","abstract_excerpt":"In this work, we analyze and model the cholera epidemics that affected South Sudan, the newest country in the world, during 2014 and 2015. South Sudan possibly represents one of the most difficult context in which adapt the deterministic mathematical cholera model, due to the unstable social and political situation that clearly affects the fluxes of people and the sanitary conditions, increasing the risk of large outbreaks. Despite the limitation of a static gravity model in describing the chaotic human mobility of South Sudan, the SIRB model, calibrated with a data assimilation technique (Ens"},"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":"1801.03125","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.PE","submitted_at":"2018-01-08T17:53:38Z","cross_cats_sorted":[],"title_canon_sha256":"f29f0e9d57f807a858f33ae6a4cf5285ecca1e942f2d39659c447867742bf0c9","abstract_canon_sha256":"82ae2e05693a6bfb4504338e324db2398ccca2266ab5c6bf449ceef8b9ca575b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:18.958617Z","signature_b64":"h/oTcEQEJYikQLorxHzbz9IxfPz64ZHwS2kZhbjWA50oKNtLHEppYDrtTw71+Ui577aGFjvuJYE4pkAJVoPaAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f85da8ab8ca0ac4f19aa4a543cb40a606c4ed0cddcd3af14988e2e8700f2a7c","last_reissued_at":"2026-05-18T00:26:18.958121Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:18.958121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Mathematical modeling of cholera epidemics in South Sudan","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.PE","authors_text":"Andrea Rinaldo, Carla Sciarra, Damiano Pasetto, Francesco Laio","submitted_at":"2018-01-08T17:53:38Z","abstract_excerpt":"In this work, we analyze and model the cholera epidemics that affected South Sudan, the newest country in the world, during 2014 and 2015. South Sudan possibly represents one of the most difficult context in which adapt the deterministic mathematical cholera model, due to the unstable social and political situation that clearly affects the fluxes of people and the sanitary conditions, increasing the risk of large outbreaks. Despite the limitation of a static gravity model in describing the chaotic human mobility of South Sudan, the SIRB model, calibrated with a data assimilation technique (Ens"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.03125","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":"1801.03125","created_at":"2026-05-18T00:26:18.958200+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.03125v1","created_at":"2026-05-18T00:26:18.958200+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.03125","created_at":"2026-05-18T00:26:18.958200+00:00"},{"alias_kind":"pith_short_12","alias_value":"H6C5VCVYZIFM","created_at":"2026-05-18T12:32:28.185984+00:00"},{"alias_kind":"pith_short_16","alias_value":"H6C5VCVYZIFMJ4M2","created_at":"2026-05-18T12:32:28.185984+00:00"},{"alias_kind":"pith_short_8","alias_value":"H6C5VCVY","created_at":"2026-05-18T12:32:28.185984+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/H6C5VCVYZIFMJ4M2USSUHS2AUY","json":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY.json","graph_json":"https://pith.science/api/pith-number/H6C5VCVYZIFMJ4M2USSUHS2AUY/graph.json","events_json":"https://pith.science/api/pith-number/H6C5VCVYZIFMJ4M2USSUHS2AUY/events.json","paper":"https://pith.science/paper/H6C5VCVY"},"agent_actions":{"view_html":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY","download_json":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY.json","view_paper":"https://pith.science/paper/H6C5VCVY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.03125&json=true","fetch_graph":"https://pith.science/api/pith-number/H6C5VCVYZIFMJ4M2USSUHS2AUY/graph.json","fetch_events":"https://pith.science/api/pith-number/H6C5VCVYZIFMJ4M2USSUHS2AUY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY/action/storage_attestation","attest_author":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY/action/author_attestation","sign_citation":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY/action/citation_signature","submit_replication":"https://pith.science/pith/H6C5VCVYZIFMJ4M2USSUHS2AUY/action/replication_record"}},"created_at":"2026-05-18T00:26:18.958200+00:00","updated_at":"2026-05-18T00:26:18.958200+00:00"}