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Redefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report

dc.rights.licenseopenen_US
dc.contributor.authorNUNES, Marta C
dc.contributor.authorTHOMMES, Edward
dc.contributor.authorFROHLICH, Holger
dc.contributor.authorFLAHAULT, Antoine
dc.contributor.authorARINO, Julien
dc.contributor.authorBAGUELIN, Marc
dc.contributor.authorBIGGERSTAFF, Matthew
dc.contributor.authorBIZEL-BIZELLOT, Gaston
dc.contributor.authorBORCHERING, Rebecca
dc.contributor.authorCACCIAPAGLIA, Giacomo
dc.contributor.authorCAUCHEMEZ, Simon
dc.contributor.authorBARBIER-CHEBBAH, Alex
dc.contributor.authorCLAUSSEN, Carsten
dc.contributor.authorCHOIRAT, Christine
dc.contributor.authorCOJOCARU, Monica
dc.contributor.authorCOMMAILLE-CHAPUS, Catherine
dc.contributor.authorHON, Chitin
dc.contributor.authorKONG, Jude
dc.contributor.authorLAMBERT, Nicolas
dc.contributor.authorLAUER, Katharina B
dc.contributor.authorLEHR, Thorsten
dc.contributor.authorMAHE, Cedric
dc.contributor.authorMARECHAL, Vincent
dc.contributor.authorMEBARKI, Adel
dc.contributor.authorMOGHADAS, Seyed
dc.contributor.authorNIEHUS, Rene
dc.contributor.authorOPATOWSKI, Lulla
dc.contributor.authorPARINO, Francesco
dc.contributor.authorPRUVOST, Gery
dc.contributor.authorSCHUPPERT, Andreas
hal.structure.identifierStatistics In System biology and Translational Medicine [SISTM]
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorTHIEBAUT, Rodolphe
dc.contributor.authorTHOMAS-BACHLI, Andrea
dc.contributor.authorVIBOUD, Cecile
dc.contributor.authorWU, Jianhong
dc.contributor.authorCREPEY, Pascal
dc.contributor.authorCOUDEVILLE, Laurent
dc.date.accessioned2024-08-21T08:02:35Z
dc.date.available2024-08-21T08:02:35Z
dc.date.issued2024-06-01
dc.identifier.issn2468-0427en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/201213
dc.description.abstractEnIn July 2023, the Center of Excellence in Respiratory Pathogens organized a two-day workshop on infectious diseases modelling and the lessons learnt from the Covid-19 pandemic. This report summarizes the rich discussions that occurred during the workshop. The workshop participants discussed multisource data integration and highlighted the benefits of combining traditional surveillance with more novel data sources like mobility data, social media, and wastewater monitoring. Significant advancements were noted in the development of predictive models, with examples from various countries showcasing the use of machine learning and artificial intelligence in detecting and monitoring disease trends. The role of open collaboration between various stakeholders in modelling was stressed, advocating for the continuation of such partnerships beyond the pandemic. A major gap identified was the absence of a common international framework for data sharing, which is crucial for global pandemic preparedness. Overall, the workshop underscored the need for robust, adaptable modelling frameworks and the integration of different data sources and collaboration across sectors, as key elements in enhancing future pandemic response and preparedness.
dc.language.isoENen_US
dc.rightsAttribution 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/*
dc.subject.enCovid-19
dc.subject.enInfectious diseases
dc.subject.enModelling
dc.subject.enPandemic preparedness
dc.subject.enWorkshop
dc.title.enRedefining pandemic preparedness: Multidisciplinary insights from the CERP modelling workshop in infectious diseases, workshop report
dc.title.alternativeInfect Dis Modelen_US
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.idm.2024.02.008en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed38445252en_US
bordeaux.journalInfectious Disease Modellingen_US
bordeaux.page501-518en_US
bordeaux.volume9en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.issue2en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.institutionINRIAen_US
bordeaux.teamSISTM_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Infectious%20Disease%20Modelling&rft.date=2024-06-01&rft.volume=9&rft.issue=2&rft.spage=501-518&rft.epage=501-518&rft.eissn=2468-0427&rft.issn=2468-0427&rft.au=NUNES,%20Marta%20C&THOMMES,%20Edward&FROHLICH,%20Holger&FLAHAULT,%20Antoine&ARINO,%20Julien&rft.genre=article


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