Covid-19 midterm projection for continued Lockdown (covidMT_LD) covidMT_LD Par University of Luxembourg This file describes midterm projections for Luxembourg predicting the number of assumed positive Covid-19 cases, ICU demands and deaths cases for a continued Lockdown. The projections are obtained by a stochastic agent based epidemiological model and gives for each average value also a 90%… Créé le 24 avril 2020. Mis à jour le 30 août 2021 — Open Data Commons Open Database License (ODbL) 1 réutilisation 1 favori
Covid-19 midterm projection for construction worker release on April 20th (covidMT_PE_no) covidMT_PE_no Par University of Luxembourg This file describes midterm projections for Luxembourg predicting the number of assumed positive Covid-19 cases, ICU demands and deaths cases for a scenario of a release of 63k workers on April 20th without testing or backtracking. The projections are obtained by a stochastic agent based… Créé le 24 avril 2020. Mis à jour le 30 août 2021 — Open Data Commons Open Database License (ODbL) 1 réutilisation 1 favori
Covid-19 midterm projection for construction worker release on April 20th with testing and 25% efficient backtracing (covidMT_PE_test25) covidMT_PE_test25 Par University of Luxembourg This file describes midterm projections for Luxembourg predicting the number of assumed positive Covid-19 cases, ICU demands and deaths cases for a scenario of a release of 63k workers on April 20th with initial testing or 25% effective backtracking. The projections are obtained by a stochastic… Créé le 24 avril 2020. Mis à jour le 30 août 2021 — Open Data Commons Open Database License (ODbL) 1 réutilisation 1 favori
Pollen Par PolnPy Daily pollen concentration data for 33 pollen types since Jan 1, 1992 in Luxembourg (scraped from www.pollen.lu) Same day prediction based upon machine learning (LSTM model)(combined with weather data) Créé le 17 mars 2018. Mis à jour le 30 août 2021 — License Not Specified 1 réutilisation 2 favoris
Covid-19 midterm projection for construction worker release on April 20th with testing and 50% efficient backtracing (covidMT_PE_50) covidMT_PE_50 Par University of Luxembourg This file describes midterm projections for Luxembourg predicting the number of assumed positive Covid-19 cases, ICU demands and deaths cases for a scenario of a release of 63k workers on April 20th with initial testing or 50% effective backtracking. The projections are obtained by a stochastic… Créé le 24 avril 2020. Mis à jour le 30 août 2021 — Open Data Commons Open Database License (ODbL) 1 réutilisation 1 favori
Covid-19 midterm projection for a general exit on May 4th (covidMT_GE) covidMT_GE Par University of Luxembourg This file describes midterm projections for Luxembourg predicting the number of assumed positive Covid-19 cases, ICU demands and deaths cases for a scenario of a general exit on May 4th. The projections are obtained by a stochastic agent based epidemiological model and gives for each average value… Créé le 24 avril 2020. Mis à jour le 30 août 2021 — Open Data Commons Open Database License (ODbL) 1 réutilisation 1 favori
Covid-19 midterm projections for exit scenarios F (cov19midtermF) cov19midtermF Par University of Luxembourg This file contains data of midterm projections for the Covid-19 epidemic in Luxembourg obtained by a stochastic agent based epidemiological model specified in the document https://storage.fnr.lu/index.php/s/UOZO8rQ9PJmzeEo/download. The data set refers to Exit Scenario F detailed in the document… Créé le 26 mai 2020. Mis à jour le 3 novembre 2023 — Creative Commons Attribution 4.0 0 réutilisation 0 favori
Covid-19 midterm projections for exit scenarios D (cov19midtermD) cov19midtermD Par University of Luxembourg This file contains data of midterm projections for the Covid-19 epidemic in Luxembourg obtained by a stochastic agent based epidemiological model specified in the document https://storage.fnr.lu/index.php/s/UOZO8rQ9PJmzeEo/download. The data set refers to Exit Scenario D detailed in the document… Créé le 26 mai 2020. Mis à jour le 3 novembre 2023 — Creative Commons Attribution 4.0 0 réutilisation 0 favori
Covid-19 midterm projections for exit scenarios B (cov19midtermB) cov19midtermB Par University of Luxembourg This file contains data of midterm projections for the Covid-19 epidemic in Luxembourg obtained by a stochastic agent based epidemiological model specified in the document https://storage.fnr.lu/index.php/s/UOZO8rQ9PJmzeEo/download. The data set refers to Exit Scenario B detailed in the document… Créé le 26 mai 2020. Mis à jour le 3 novembre 2023 — Creative Commons Attribution 4.0 0 réutilisation 0 favori
Covid-19 midterm projections for exit scenarios A (cov19midtermA) cov19midtermA Par University of Luxembourg This file contains data of midterm projections for the Covid-19 epidemic in Luxembourg obtained by a stochastic agent based epidemiological model specified in the document https://storage.fnr.lu/index.php/s/UOZO8rQ9PJmzeEo/download. The data set refers to Exit Scenario A detailed in the document… Créé le 26 mai 2020. Mis à jour le 3 novembre 2023 — Creative Commons Attribution 4.0 0 réutilisation 0 favori
Tests des renards sur Echinococcus multilocularis 2017 Par Laboratoire de Médecine Vétérinaire de l'Etat Tests des renards sur Echinococcus multilocularis en 2017 Créé le 2 février 2018. Mis à jour le 2 février 2018 — Creative Commons Zero (CC0) 0 réutilisation 0 favori
Covid-19 midterm projections for exit scenarios E (cov19midtermE) cov19midtermE Par University of Luxembourg This file contains data of midterm projections for the Covid-19 epidemic in Luxembourg obtained by a stochastic agent based epidemiological model specified in the document https://storage.fnr.lu/index.php/s/UOZO8rQ9PJmzeEo/download. The data set refers to Exit Scenario E detailed in the document… Créé le 26 mai 2020. Mis à jour le 3 novembre 2023 — Creative Commons Attribution 4.0 0 réutilisation 0 favori
Covid-19 midterm projections for exit scenarios C (cov19midtermC) cov19midtermC Par University of Luxembourg This file contains data of midterm projections for the Covid-19 epidemic in Luxembourg obtained by a stochastic agent based epidemiological model specified in the document https://storage.fnr.lu/index.php/s/UOZO8rQ9PJmzeEo/download. The data set refers to Exit Scenario C detailed in the document… Créé le 26 mai 2020. Mis à jour le 3 novembre 2023 — Creative Commons Attribution 4.0 0 réutilisation 0 favori