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http://schema.org/dateModified 2025-03-05 02:49:06.314579+00:00 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://schema.org/datePublished 2021-12-10 09:57:13.978205+00:00 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://schema.org/description Due to the SARS-CoV-2 pandemic, epidemic modeling is now experiencing a constantly growing interest from researchers of heterogeneous study fields. Indeed, due to such an increased attention, several software libraries and scientific tools have been developed to ease the access to epidemic modeling. However, only a handful of such resources were designed with the aim of providing a simple proxy for the study of the potential effects of public interventions (e.g., lockdown, testing, contact tracing). In this work, we introduce UTLDR, a framework that, overcoming such limitations, allows to generate what if epidemic scenarios incorporating several public interventions (and their combinations). UTLDR is designed to be easy to use and capable to leverage information provided by stratified populations of agents (e.g., age, gender, geographical allocation, and mobility patterns horizontal ellipsis ). Moreover, the proposed framework is generic and not tailored for a specific epidemic phenomena: it aims to provide a qualitative support to understanding the effects of restrictions, rather than produce forecasts/explanation of specific data-driven phenomena. https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://schema.org/hasPart https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://schema.org/identifier https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://schema.org/name UTLDR: an agent-based framework for modeling infectious diseases and public interventions https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://w3id.org/ro-id/rohub/model#creation_mode MANUAL https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roevo#LiveRO https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/Dataset https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro/earth-science#BibliographyResearchObject https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#BibliographyResearchObject https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ https://www.w3.org/ns/iana/link-relations/relation#cite-as Foglini, Federica. "UTLDR: an agent-based framework for modeling infectious diseases and public interventions." ROHub. Dec 10 ,2021. https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf. https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/author mailto:service-account-generation-service https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/contentSize 160 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/contentUrl https://api.rohub.org/api/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41/download/ https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/creator mailto:service-account-generation-service https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/dateCreated 2021-12-10 09:57:16.352435+00:00 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/dateModified 2021-12-10 09:57:16.353576+00:00 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/description Due to the SARS-CoV-2 pandemic, epidemic modeling is now experiencing a constantly growing interest from researchers of heterogeneous study fields. Indeed, due to such an increased attention, several software libraries and scientific tools have been developed to ease the access to epidemic modeling. However, only a handful of such resources were designed with the aim of providing a simple proxy for the study of the potential effects of public interventions (e.g., lockdown, testing, contact tracing). In this work, we introduce UTLDR, a framework that, overcoming such limitations, allows to generate what if epidemic scenarios incorporating several public interventions (and their combinations). UTLDR is designed to be easy to use and capable to leverage information provided by stratified populations of agents (e.g., age, gender, geographical allocation, and mobility patterns horizontal ellipsis ). Moreover, the proposed framework is generic and not tailored for a specific epidemic phenomena: it aims to provide a qualitative support to understanding the effects of restrictions, rather than produce forecasts/explanation of specific data-driven phenomena. https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/encodingFormat text/plain https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/name UTLDR: an agent-based framework for modeling infectious diseases and public interventions https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://schema.org/sdDatePublished 2021-12-10 09:57:16.352435+00:00 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/resources/8aaf39d2-a3c4-4b21-9e4b-6c61716d4a41 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ro-crate-metadata.json http://purl.org/dc/terms/conformsTo https://w3id.org/ro/crate/1.1 https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ro-crate-metadata.json http://schema.org/about https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ro-crate-metadata.json http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/CreativeWork mailto:service-account-generation-service http://schema.org/name service-account-generation-service mailto:service-account-generation-service http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://xmlns.com/foaf/0.1/Agent https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/provenance https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/assertion http://www.w3.org/ns/prov#wasDerivedFrom https://api.rohub.org/api/ros/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/crate/download/ro-crate-metadata.json https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/pubinfo https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y http://purl.org/dc/terms/created 2026-03-03T16:44:21.537+01:00 https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y http://purl.org/dc/terms/creator https://w3id.org/kpxl/gen/terms/RoCrateBot https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y http://purl.org/nanopub/x/introduces https://w3id.org/ro-id/699fb8ae-4815-48d4-a082-c2a6eee6f7cf/ https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/nanopub/x/RoCrateNanopub https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y http://www.w3.org/2000/01/rdf-schema#label UTLDR: an agent-based framework for modeling infectious diseases and public interventions https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/sig http://purl.org/nanopub/x/hasAlgorithm RSA https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/sig http://purl.org/nanopub/x/hasPublicKey MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/sig http://purl.org/nanopub/x/hasSignature EXxkrLxXLx4qSQrJwSLpE5mlL4G1Qe4C+INZz31rkmu9TKfW++G3PGOUkRt5ZZdiahrd8LVqGdmxDVTRGHo9bstR/WE1AQIHZNBK5c0Nq23AX3T+dVayqKthcG8n7A4vwUeVvkp7udHTptMLfiJ1aMtXRYAAmxjFGz0TtLAsP7yXovPKSuKghMgt6BzO9NCPhVhCt6sDy5My80l/ThWSRFW/htOUsuQwq4jIsInYnnUbLSTxBk9DmJqXQx7D/x/+RW6C817aaV5aSnij7b8nK7+zSHitaeV0fRi0RjNIl6Y2UhDj8yt+JNNkrbL4k+Yc1DY+Zfliwg+QhCShcf0aKQ== https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/sig http://purl.org/nanopub/x/hasSignatureTarget https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y https://w3id.org/np/RACHkbawwditt-fzcK7DAerc6zb9DtPAG8djGZB6fAd1Y/sig http://purl.org/nanopub/x/signedBy https://w3id.org/kpxl/gen/terms/RoCrateBot