Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/49976
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dc.date.accessioned2026-09-03T07:30:08Z-
dc.date.available2026-09-03T07:30:08Z-
dc.date.issued2025-
dc.date.submitted2026-09-03T07:26:50Z-
dc.identifier.citationZenodo. 10.5281/zenodo.17990063 https://zenodo.org/doi/10.5281/zenodo.17990063-
dc.identifier.urihttp://hdl.handle.net/1942/49976-
dc.description.abstractAs part of a study aimed to identify and review data needs and availability during the COVID-19 pandemic, including both traditional and non-traditional data sources, we created survey for the modeling community in Europe. In particular the survey aims to better understand the types of data used for modeling during the pandemic, their purpose, and their limitations as well as the unmet data needs of the modeling community.-
dc.description.sponsorshipEfficient and rapidly SCAlable EU-wide evidence-driven Pandemic response plans through dynamic Epidemic data assimilation. European Commission. awardNumber:101095619. 10.13039/501100000780-
dc.language.isoen-
dc.publisherZenodo-
dc.subject.classificationBiostatistics, statistical methodology in epidemiology and public health-
dc.subject.otherCOVID-19/epidemiology-
dc.subject.otherEpidemiological Models-
dc.subject.otherData science-
dc.titleSurvey on data availability and data needs for modelers during the COVID-19 pandemic-
dc.typeDataset-
local.bibliographicCitation.jcatDS-
dc.rights.licenseCreative Commons Attribution 4.0 International (CC-BY-4.0)-
dc.identifier.doi10.5281/zenodo.17990063-
dc.identifier.urlhttps://zenodo.org/doi/10.5281/zenodo.17990063-
local.provider.typedatacite-
local.contributor.datacreatorMazzoli, Mattia-
local.contributor.datacreatorVarela-Lasheras, Irma-
local.contributor.datacreatorNamorado, Sónia-
local.contributor.datacreatorCAETANO, Constantino-
local.contributor.datacreatorLeite, Andreia-
local.contributor.datacreatorHERMANS, Lisa-
local.contributor.datacreatorHENS, Niel-
local.contributor.datacreatorTurkmen, Polen-
local.contributor.datacreatorKalimeri, Kyriaki-
local.contributor.datacreatorFerres, Leo-
local.contributor.datacreatorCattuto, Ciro-
local.contributor.datacreatorPAOLOTTI, Daniela-
local.contributor.datacreatorVerhulst, Stefaan-
local.contributor.rightsholderMazzoli, Mattia-
local.format.extent54.7 kB-
local.format.mimetype.pdf-
local.contributororcid.datacreator0000-0002-8756-5535-
local.contributororcid.datacreator0000-0002-0419-1938-
local.contributororcid.datacreator0000-0002-7500-8811-
local.contributororcid.datacreator0000-0002-6569-7772-
local.contributororcid.datacreator0000-0001-9601-7277-
local.contributororcid.datacreator0000-0001-8068-5916-
local.contributororcid.datacreator0000-0002-5899-9051-
local.contributororcid.datacreator0000-0001-9526-4364-
local.contributororcid.datacreator0000-0003-1356-3470-
local.contributororcid.rightsholder0000-0002-8756-5535-
local.contributingorg.datacreatorInstitute for Scientific Interchange-
local.contributingorg.rightsholderInstitute for Scientific Interchange-
dc.rights.accessOpen Access-
item.contributorMazzoli, Mattia-
item.contributorVarela-Lasheras, Irma-
item.contributorNamorado, Sónia-
item.contributorCAETANO, Constantino-
item.contributorLeite, Andreia-
item.contributorHERMANS, Lisa-
item.contributorHENS, Niel-
item.contributorTurkmen, Polen-
item.contributorKalimeri, Kyriaki-
item.contributorFerres, Leo-
item.contributorCattuto, Ciro-
item.contributorPAOLOTTI, Daniela-
item.contributorVerhulst, Stefaan-
item.accessRightsClosed Access-
item.fullcitationMazzoli, Mattia; Varela-Lasheras, Irma; Namorado, Sónia; CAETANO, Constantino; Leite, Andreia; HERMANS, Lisa; HENS, Niel; Turkmen, Polen; Kalimeri, Kyriaki; Ferres, Leo; Cattuto, Ciro; PAOLOTTI, Daniela & Verhulst, Stefaan (2025) Survey on data availability and data needs for modelers during the COVID-19 pandemic. Zenodo. 10.5281/zenodo.17990063 https://zenodo.org/doi/10.5281/zenodo.17990063.-
item.fulltextNo Fulltext-
crisitem.discipline.code01010809-
crisitem.discipline.nameBiostatistics, statistical methodology in epidemiology and public health-
crisitem.discipline.pathNatural sciences > Mathematical sciences and statistics > Statistics > Biostatistics, statistical methodology in epidemiology and public health-
crisitem.discipline.pathandcodeNatural sciences > Mathematical sciences and statistics > Statistics > Biostatistics, statistical methodology in epidemiology and public health (01010809)-
crisitem.license.codeCC-BY-4.0-
crisitem.license.nameCreative Commons Attribution 4.0 International (CC-BY-4.0)-
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