MOOD: H2020 Project 874850, 2020-2024

nCoV-2019 Emergency Response Portal

MOnitoring Outbreak events for Disease surveillance in a data science context

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:

Documents:

Description

File

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
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
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

Data & Analysis:

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 nCoV-2019 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
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.