{"id":2175,"date":"2021-01-26T12:00:36","date_gmt":"2021-01-26T11:00:36","guid":{"rendered":"https:\/\/www.medtech-strasbourg.eu\/?p=2175"},"modified":"2022-04-21T21:45:13","modified_gmt":"2022-04-21T19:45:13","slug":"predictest-loutil-de-prevision-du-covid19predict","status":"publish","type":"post","link":"https:\/\/nextmed.prod.strasbourg.cloud\/en\/2021\/01\/26\/predictest-loutil-de-prevision-du-covid19predict\/","title":{"rendered":"PredictEST, l’outil de pr\u00e9vision du COVID19"},"content":{"rendered":"

PredictEST, outil de pr\u00e9vision de l’\u00e9volution du COVID19, a \u00e9t\u00e9 con\u00e7u par la plateforme INESIA by PRIESM et l’IHU de Strasbourg. Destin\u00e9 aux collectivit\u00e9s et pouvoirs publics, il mixe, gr\u00e2ce aux combinaisons d’algorithmes d\u2019intelligence artificielle, les donn\u00e9es de sant\u00e9 publique; datagouv<\/a> <\/span>et g\u00e9odes de sant\u00e9 publique France<\/span><\/a>.<\/strong><\/p>\n\n\n\n

<\/div>\n\n\n\n

Pr\u00e9dictEST a \u00e9t\u00e9 pens\u00e9 d\u00e8s le printemps 2020, avec un double objectif : informer la population et aider les politiques \u00e0 prendre les d\u00e9cisions les plus adapt\u00e9es au regard du contexte sanitaire de la Covid-19, tant sur le plan \u00e9conomique, social que soci\u00e9tal.<\/p>\n\n\n\n

Un cockpit num\u00e9rique de l’\u00e9tat sanitaire<\/h2>\n\n\n\n

Plusieurs donn\u00e9es sont d\u00e9livr\u00e9es lors de ce point hebdomadaire :
– Les principaux indicateurs, consolid\u00e9s \u00e0 l\u2019\u00e9chelle de la r\u00e9gion : taux d\u2019incidence, taux de positivit\u00e9, nombre de nouveaux cas, nombre de personnes hospitalis\u00e9es, nombre de personnes en r\u00e9animation \u2026
– Une carte cliquable pour des projections \u00e9pid\u00e9miologiques de + 30 jours \u00e0 l\u2019\u00e9chelle d\u00e9partementale
– Une carte zoomable jusqu\u2019\u00e0 l\u2019\u00e9chelon \u00ab IRIS \u00bb (norme Insee) \u2026
L\u2019outil est \u00e9galement accessible, sous licence, aux \u00e9lus locaux et services sanitaires, avec acc\u00e8s priv\u00e9 \u00e0 des fonctionnalit\u00e9s plus d\u00e9taill\u00e9es. Pr\u00e9dictEST va au-del\u00e0 de la simple g\u00e9olocalisation et identification des nouveaux cas.
L\u2019outil est con\u00e7u comme un \u00ab cockpit num\u00e9rique \u00bb de l\u2019\u00e9tat sanitaire, mais aussi socio-\u00e9conomique. En tant que tel, il repr\u00e9sente un pr\u00e9cieux alli\u00e9 pour piloter l\u2019action publique.<\/p>\n\n\n\n

D\u00e9velopp\u00e9 par un collectif compos\u00e9 de l\u2019IHU de Strasbourg, d\u2019inesia by PRIeSM, de la R\u00e9gion Grand Est, de Grand e-Nov+, son agence d\u2019innovation et de l\u2019Eurom\u00e9tropole de Strasbourg (dans le cadre de son programme d\u2019innovation Territoires de Sant\u00e9 de Demain), Pr\u00e9dictEST intervient d\u00e9sormais en compl\u00e9ment de solutions existantes, dont l\u2019application nationale TOUS ANTI COVID ou encore le site COVID TRACKER.<\/p>\n\n\n\n

Chaque vendredi, enrichi quotidiennement des donn\u00e9es fournies par le Minist\u00e8re de la Sant\u00e9, le site Pr\u00e9dictEST est actualis\u00e9 afin d\u2019offrir \u00e0 la population un \u00ab bulletin de pr\u00e9visions \u00bb de l\u2019\u00e9volution sanitaire \u00e0 l\u2019\u00e9chelle de leur d\u00e9partement de r\u00e9sidence. Ces donn\u00e9es permettent de visualiser la situation dans le Grand Est jusqu’\u00e0 l’\u00e9chelle de leur quartier.<\/p>\n\n\n\n

<\/div>\n\n\n\n

Un mix entre IA, statistiques et mod\u00e9lisation<\/h2>\n\n\n\n
<\/div><\/div><\/div>\n\n\n\n

Cette solution num\u00e9rique unique en France est enrichie quotidiennement \u00e0 partir des donn\u00e9es fournies par Datagouv et G\u00e9odes de Sant\u00e9 Publique France. Partag\u00e9es en temps r\u00e9el, ces donn\u00e9es de qualit\u00e9 sont totalement s\u00e9curis\u00e9es et anonymis\u00e9es. Issues des bases nationales (bases et r\u00e9f\u00e9rentiels ROR, SI-DEP\u2026), elles sont retranscrites sous forme de tableaux de bords dynamiques et de cartes ergonomiques. <\/p>\n\n\n\n

Afin d\u2019exploiter celles-ci, inesia, en charge de son d\u00e9veloppement et de son d\u00e9ploiement, a r\u00e9cemment obtenu l\u2019autorisation de la CNIL pour constituer son premier entrep\u00f4t de donn\u00e9es de sant\u00e9, labellis\u00e9 \u00ab HDS – H\u00e9bergement de Donn\u00e9es de Sant\u00e9 \u00bb.
Pr\u00e9dictEST s\u2019appuie sur des algorithmes qui lui sont propres. L\u2019outil se diff\u00e9rencie ainsi des solutions existantes sur le plan de l\u2019analyse statistique et de la mod\u00e9lisation \u00e9pid\u00e9miologique, avec un niveau de pr\u00e9cision remarquable.<\/p>\n\n\n\n

Adaptations et suite<\/h2>\n\n\n\n

Pr\u00e9dictEST a \u00e9t\u00e9 d\u00e9velopp\u00e9 dans le cadre sp\u00e9cifique de l\u2019\u00e9pid\u00e9mie du covid19. Cependant, tout au long de sa conception, sa r\u00e9plicabilit\u00e9\u0301 est rest\u00e9e une pr\u00e9occupation majeure. D\u2019abord parce que d\u2019autres usages sont pr\u00e9vus, notamment le suivi d\u2019autres \u00e9pid\u00e9mies ou celui de la campagne vaccinale de la Covid-19. <\/p>\n\n\n\n

Mais aussi parce que cet outil peut s’av\u00e9rer utile partout en France, voire dans le monde. Ainsi, la r\u00e9plicabilit\u00e9 sur d\u2019autres territoires, aupr\u00e8s d\u2019autres ARS ou r\u00e9gions, est envisageable, les sources de donn\u00e9es \u00e9tant disponibles pour l\u2019ensemble des territoires. Certaines pistes d\u2019autres d\u00e9ploiements se confirment d\u2019ores et d\u00e9j\u00e0.<\/p>\n\n\n\n

Pour en savoir plus : rendez vous sur https:\/\/predictest.eu\/ <\/a><\/p>","protected":false},"excerpt":{"rendered":"

PredictEST, outil de pr\u00e9vision de l’\u00e9volution du COVID19, a \u00e9t\u00e9 con\u00e7u par la plateforme INESIA by PRIESM et l’IHU de Strasbourg. Destin\u00e9 aux collectivit\u00e9s et pouvoirs publics, il mixe, gr\u00e2ce […]<\/p>\n","protected":false},"author":2,"featured_media":2178,"comment_status":"open","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"_uag_custom_page_level_css":"","_EventAllDay":false,"_EventTimezone":"","_EventStartDate":"","_EventEndDate":"","_EventStartDateUTC":"","_EventEndDateUTC":"","_EventShowMap":false,"_EventShowMapLink":false,"_EventURL":"","_EventCost":"","_EventCostDescription":"","_EventCurrencySymbol":"","_EventCurrencyCode":"","_EventCurrencyPosition":"","_EventDateTimeSeparator":"","_EventTimeRangeSeparator":"","_EventOrganizerID":[],"_EventVenueID":[],"_OrganizerEmail":"","_OrganizerPhone":"","_OrganizerWebsite":"","_VenueAddress":"","_VenueCity":"","_VenueCountry":"","_VenueProvince":"","_VenueState":"","_VenueZip":"","_VenuePhone":"","_VenueURL":"","_VenueStateProvince":"","_VenueLat":"","_VenueLng":"","_VenueShowMap":false,"_VenueShowMapLink":false,"footnotes":""},"categories":[122,138],"tags":[175,92,63],"class_list":["post-2175","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-recherche","tag-intelligence-artificielle","tag-nextmed","tag-strasbourg"],"acf":[],"yoast_head":"\nPredictEST, l'outil de pr\u00e9vision du COVID19 - 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