{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:MI75ABBKY4JODT6UP7D2ZJLJWW","short_pith_number":"pith:MI75ABBK","schema_version":"1.0","canonical_sha256":"623fd0042ac712e1cfd47fc7aca569b585eb693d6f49c47ec95654cf65e06cdc","source":{"kind":"arxiv","id":"2407.21286","version":1},"attestation_state":"computed","paper":{"title":"Large-scale Epidemiological modeling: Scanning for Mosquito-Borne Diseases Spatio-temporal Patterns in Brazil","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"q-bio.PE","authors_text":"Claudia T. Code\\c{c}o, Eduardo C. Araujo, Fernanda Valente, Fl\\'avio C. Coelho, Iasmim F. de Almeida, La\\'is P. Freitas, Leonardo S. Bastos, Lu\\~a B. Vacaro, Luiz M. Carvalho, Raquel M. Lana, Sandro Loch","submitted_at":"2024-07-31T02:20:48Z","abstract_excerpt":"The influence of climate on mosquito-borne diseases like dengue and chikungunya is well-established, but comprehensively tracking long-term spatial and temporal trends across large areas has been hindered by fragmented data and limited analysis tools. This study presents an unprecedented analysis, in terms of breadth, estimating the SIR transmission parameters from incidence data in all 5,570 municipalities in Brazil over 14 years (2010-2023) for both dengue and chikungunya. We describe the Episcanner computational pipeline, developed to estimate these parameters, producing a reusable dataset "},"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":"2407.21286","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"q-bio.PE","submitted_at":"2024-07-31T02:20:48Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"b16e6f32af283b38f4911cb9560420864c77b5da22265ae13de3795e765dca83","abstract_canon_sha256":"3aae9ffef75fb7251a29e252c274c9f4928c61c26845a078bc227275ae264d7a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:50:37.106036Z","signature_b64":"k0lVGnAgSu9Idl17dduY+98yIKGUYZY9cgJ/hN6iILCuKZdvlwrEE97KG1UnM8CHKitM+DWUxvFgppLm6VKJCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"623fd0042ac712e1cfd47fc7aca569b585eb693d6f49c47ec95654cf65e06cdc","last_reissued_at":"2026-07-05T08:50:37.105413Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:50:37.105413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Large-scale Epidemiological modeling: Scanning for Mosquito-Borne Diseases Spatio-temporal Patterns in Brazil","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"q-bio.PE","authors_text":"Claudia T. Code\\c{c}o, Eduardo C. Araujo, Fernanda Valente, Fl\\'avio C. Coelho, Iasmim F. de Almeida, La\\'is P. Freitas, Leonardo S. Bastos, Lu\\~a B. Vacaro, Luiz M. Carvalho, Raquel M. Lana, Sandro Loch","submitted_at":"2024-07-31T02:20:48Z","abstract_excerpt":"The influence of climate on mosquito-borne diseases like dengue and chikungunya is well-established, but comprehensively tracking long-term spatial and temporal trends across large areas has been hindered by fragmented data and limited analysis tools. This study presents an unprecedented analysis, in terms of breadth, estimating the SIR transmission parameters from incidence data in all 5,570 municipalities in Brazil over 14 years (2010-2023) for both dengue and chikungunya. We describe the Episcanner computational pipeline, developed to estimate these parameters, producing a reusable dataset "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.21286","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/2407.21286/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":"2407.21286","created_at":"2026-07-05T08:50:37.105495+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.21286v1","created_at":"2026-07-05T08:50:37.105495+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.21286","created_at":"2026-07-05T08:50:37.105495+00:00"},{"alias_kind":"pith_short_12","alias_value":"MI75ABBKY4JO","created_at":"2026-07-05T08:50:37.105495+00:00"},{"alias_kind":"pith_short_16","alias_value":"MI75ABBKY4JODT6U","created_at":"2026-07-05T08:50:37.105495+00:00"},{"alias_kind":"pith_short_8","alias_value":"MI75ABBK","created_at":"2026-07-05T08:50:37.105495+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/MI75ABBKY4JODT6UP7D2ZJLJWW","json":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW.json","graph_json":"https://pith.science/api/pith-number/MI75ABBKY4JODT6UP7D2ZJLJWW/graph.json","events_json":"https://pith.science/api/pith-number/MI75ABBKY4JODT6UP7D2ZJLJWW/events.json","paper":"https://pith.science/paper/MI75ABBK"},"agent_actions":{"view_html":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW","download_json":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW.json","view_paper":"https://pith.science/paper/MI75ABBK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.21286&json=true","fetch_graph":"https://pith.science/api/pith-number/MI75ABBKY4JODT6UP7D2ZJLJWW/graph.json","fetch_events":"https://pith.science/api/pith-number/MI75ABBKY4JODT6UP7D2ZJLJWW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW/action/storage_attestation","attest_author":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW/action/author_attestation","sign_citation":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW/action/citation_signature","submit_replication":"https://pith.science/pith/MI75ABBKY4JODT6UP7D2ZJLJWW/action/replication_record"}},"created_at":"2026-07-05T08:50:37.105495+00:00","updated_at":"2026-07-05T08:50:37.105495+00:00"}