MOOD: H2020 Project 874850, 2020-2024

COVID-19 Emergency Response Portal

MOnitoring Outbreak events for Disease surveillance in a data science context

This page will be migrated over to the newly launched mood-h2020.eu website page over the next two weeks.  Please update your bookmarks. Thank you.

The EU Commission has asked the H2020 MOOD Project coordination to provide all possible assistance to  surveillance efforts of the ongoing Coronavirus outbreaks its potential risk to Europe.  Project partners have made the following datasets,  documents and links to further information available to all.

Please email info@moodspatialdata.com with any questions you may have

Materials:

Maps of human mobility change during the COVID-19 outbreak derived from Google reports processed by ERGO

Visualizing COVID-19 mortality in Europe and its neighborhood - Renaud Lancelot, CIRAD, France

MOOD Spatial Data COVID-19 Covariate Archive - Covariate data collated by ERGO at request of the MOOD partners

Documents:

Pullano G., Valdano E., Scarpa N., Rubrichi S., Colizza V. Population mobility reductions during COVID-19 epidemic in France under lockdown Pullano et al 2020 Link
Kraemer M.U.G, Yang C.H., Gutierrez B., Wu C-H., Klein, Pigott D.M., Open COVID-19 Data Working Group, du Plessis L., Faria1 N.R., Li R., Hanage W.P., Brownstein J.S., Layan M., Vespignani A., Tian H., Dye1 C., Pybus O.G., Scarpino S.V. The effect of human mobility and control measures on the COVID-19 epidemic in China. Science 01 May 2020:Vol. 368, Issue 6490, pp. 493-497 DOI: https://doi.org/10.1126/science.abb4218 Kraemer et al 2020 Link
Oliver N., Lepri b,. Sterly H., Lambiotte R., Delataille S., De Nadai D., Letouzé E., Salah A.A., Benjamins R., Cattuto C., Colizza V., de Cordes N., Fraiberger S.P., Koebe T., Lehmann S., Murillo J., Pentland A., Pham P.N., Pivetta F., Saramäki J., Scarpino S.V., Tizzoni M., Verhulst S. and Vinck P. Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances 27 Apr 2020:eabc0764 DOI: https://doi.org/10.1126/sciadv.abc0764 Oliver et al 2020 Link
Guzzetta G., Riccardo F., Marziano V., Poletti P., Trentini F., Bella A., Andrianou X., Del Manso M., Fabiani M., Bellino S., Boros S., Urdiales A.M., Vescio M.F., Piccioli A., COVID-19 working group, Brusaferro S., Rezza G., Pezzotti P., Ajelli M., Merler S. The impact of a nation-wide lockdown on COVID-19 transmissibility in Italy. Pre-print: arXiv:2004.12338 [q-bio.PE] Guzzetta et al 2020 Link
Zhang J., Litvinova M., Liang Y., Wang Y., Wang W., Zhao S., Wu Q., Merler S., Viboud C., Vespignani A., Ajelli M.,, Yu H. Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China. Science 29 Apr 2020:eabb8001 DOI: https://doi.org/10.1126/science.abb8001 Zhang et al 2020 Link
Zhang J., Litvinova M., Wang W., Wang Y., Deng X., Chen X., Li M., Zheng W., Yi L., Chen X, Wu Q., Liang Y., Wang X., Yang J., Sun K., Longini Jr I.M., Halloran ME., Wu P., Cowling B.J., Merler S., Viboud C., Vespignani A., Ajelli M., Yu H. Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study. Lancet Infect Dis 2020 Published Online April 2, 2020 DOI: https://doi.org/10.1016/S1473-3099(20)30264-4 Zhang et al 2020 Link
Guzzetta G., Poletti P., Ajelli A., Trentini F., Marziano V., Cereda D., Tirani M., Diurno G, Bodina A., Barone A., Crottogini L, Gramegna M, Melegaro A., Merler1 S., Potential short-term outcome of an uncontrolled COVID-19 epidemic in Lombardy, Italy, February to March 2020. Euro Surveill. 2020;25(12):pii=2000293. DOI: https://doi.org/10.2807/1560-7917.ES.2020.25.12.2000293 Guzetta et al 2020 Link
Kraemer M.U.G., Yang C-H., Gutierrez B., Wu C-H., Klein B., Pigott D.M., Open COVID-19 scope="col"Data Working Group, du Plessis L., Faria1 N.R., Li R., Hanage W.P., Brownstein J.S., Layan M., Vespignani A., Tian H., Dye C., Pybus O.G., S.V. The effect of human mobility and control measures on the COVID-19 epidemic in China. DOI: https://dx.doi.org/10.1126/science.abb4218 Kraemer et al 2020 Link
Chinazzi M., Davis J.T, Ajelli M., Gioannini C., Litvinova M., Merler S., Pastore y Piontti A., Mu K, Rossi L., Sun K, Viboud C., Xiong X, Yu H., Halloran M.E., Longini Jr I.M., Vespignani A. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak. DOI: https://doi.org/10.1126/science.aba9757 Chinazzi et al 2020 Link

Gilbert M., Pullano G., Pinotti F., Valdano E, Poletto C, Boelle P-Y., D'Ortenzio E., Yazdanpanah Y., Eholie S.P., Altmann M., Gutierrez B., Kraemer M.U.G., Colizza V. Preparedness and vulnerability of African countries against introductions of 2019-nCoV; doi: https://doi.org/10.1101/2020.02.05.20020792

Gilbert et al 2020 Link
Di Domenico L., Pullano G., Sabbatini C.E., Boëlle P-Y., Colizza V. Expected impact of school closure and telework to mitigate COVID-19 epidemic in France Di Domenico et al 2020 Link
Pullano G., Pinotti F., Valdano E., Boëlle P-Y., Poletto C., Colizza V.. Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020. Euro Surveill. 2020;25(4):pii=2000057. https://doi.org/10.2807/1560-7917.ES.2020.25.4.2000057 Pullano et al 2020 Link
Di Domenico L., Pullano G., Sabbatini C.E., Boëlle P-Y., Colizza V. Expected impact of lockdown in Île-de-France and possible exit strategies doi: https://doi.org/10.1101/2020.04.13.20063933 Di Domenico et al 2020 Link
Boëlle P-Y.,  Souty C., Launay T, Guerrisi C, Turbelin C., Behillil S., Enouf V., Poletto C., Lina B., van der Werf S., Lévy-Bruhl D., Colizza V., Hanslik T., Blanchon T. Excess cases of influenza-like illnesses synchronous with coronavirus disease (COVID-19) epidemic, France, March 2020. Euro Surveill. 2020;25(14):pii=2000326. https://doi.org/10.2807/1560-7917.ES.2020.25.14.2000326 Boelle et al 2020 Link
Report 8: Expected impact of school closure and telework to mitigate COVID-19 epidemic in France Link to report 8
Report 6: Are people excessively pessimistic about the risk of coronavirus infection? Link to report 6
Report 5: Lessons learnt from 288 COVID-19 international cases: importations over time, effect of interventions, underdetection of imported cases Link to report 5
Report 4: Preparedness and vulnerability of African countries against introductions of 2019-nCoV Link to report 4
Report 3: 2019-nCoV importation risk to Europe - 28/01/2020 (Data up to 27/01/2020), after the updates on the German case Link to report 3 from INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France
Report 2: 2019-nCoV importation risk to Europe - 26/01/2020 (Data up to 25/01/2020) Link to report 2 from INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France
Report 1: 2019-nCoV importation risk to Europe - based on data up to 23/01/2020 at 11am Link to report 1 from INSERM, Sorbonne Université, Pierre Louis Institute of Epidemiology and Public Health, Paris, France
Epidemiological Data from the nCoV-2019 Outbreak: Early Descriptions from Publicly Available Data - Moritz Kramer Link to paper in Virological
Preliminary risk analysis of 2019 novel Coronavirus spread within and beyond China - Lai, Bogoch, Watts, Kahn, Li & Tatem.  (WorldPop) Link preliminary analysis from the WordPop team

Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study - WorldPop

Link analysis from the WordPop team

Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak - WorldPop

Link preliminary analysis from the WordPop team

Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak: an observational and modelling study - WorldPop

Link analysis from the WordPop team

Data & Analysis:

A summary from MOOD partner TETIS of the current and planned activities about text-mining and EnCov19: https://collaboratif.cirad.fr/share/s/H3BSMhQ3SQaB9gmcAi2KCg

Location for summaries and analysis of data related to n-CoV 2019, first reported in Wuhan, China on GitHub.

Brief description: We have collected publicly available information on cases confirmed during the ongoing COVID-19 outbreak. Data were entered in a spreadsheet with each line representing a unique case, including age, sex, geographic information, history and time of travel where available. Sources were included as a reference for each entry. Data is openly available here: https://tinyurl.com/s6gsq5y and was last updated, January 31, 2020.

This database is being updated regularly and epidemiological information about Wuhan will be included over the coming days. Data are compiled from openly available sources only. We have tried to ensure accuracy of data compilation, but cannot take responsibility for any unintentional errors that may have occurred. Please email us if you have any additional information that would be useful to be include, or any suggested edits. Those information may include updates on recorded cases, especially demographics, clinical outcome, and details on the clusters in Wuhan and Guangdong.

Description of the data and some initial results are posted through Virological.org: http://virological.org/t/epidemiological-data-from-the-ncov-2019-outbreak-early-descriptions-from-publicly-available-data/337

 

Related Links
Oxford COVID19 Government Response Tracker – Blavatnik School of Government
Google mobility reports – See how your community is moving around differently due to COVID-19
The European Commission – Many Member States have announced restrictions to transport – a full list of measures by country
Genomic epidemiology of novel coronavirus (nCoV) Built using github.com/nextstrain/ncov.
Tracing the Largest Seasonal Migration on Earth - Xianwen Wang et al.
For additional environmental modelling covariates for your research please visit our sister site www.palebludata.com you can contact us directly to request access to data.
The European Centre for Disease Prevention and Control (ECDC) has set up a dedicated webpage for 2019 novel coronavirus (2019-nCoV) updates and risk assessments with a focus on Europe.
COVID-19 Open Research Dataset (CORD-19) - A Free, Open Resource for the Global Research Community (Allen Institute)
Open database of COVID-19 cases with chest X-ray or CT images.