Horizon 2020 Project : MOOD - MOnitoring Outbreak events for Disease surveillance in a data science context

Projet Horizon 2020 : MOOD - Veille sanitaire des maladies infectieuses dans un contexte de science des données
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 18 Results
Adobe PDF - 221,8 KB - MD5: 9ffd61a78a26ec0234e3d98a07fc601b
Case study Literature_2 becomes WAHIS ob_101445
Comma Separated Values - 33,3 KB - MD5: 7e4d101bfdfa6a0d79ad43703e465f15
The dataset contains the values as follows: - Source: source of the case study, as WAHIS or published article in the scientific literature - Id_gold_standard: case study identification number as the outbreak id reported in WAHIS or ranked literature case study number - Id_articl...
Adobe PDF - 530,7 KB - MD5: 4208ec19abeb7c18a3e8dc37b2b8041e
method and main results
R Syntax - 9,1 KB - MD5: 2054ae2624d4b861f1d5b3d00bce6547
This script uses a stepwise bidirectional approach to select the best covariates and the ERGM model for the network of sources and outbreaks of Avian influenza obtained from PADI-web tool between 2018 and 2019.
Gzip Archive - 13,6 KB - MD5: 20efd74c1e445ac9aefa33b24cda9959
This dataset consists of the links (edges) between outbreaks and sources identified in the news reports of the PADI-web media monitoring tool worldwide between 2018 and 2019 for Avian influenza. id_outbreak is the id number of each outbreak; the source is the name of the source o...
Gzip Archive - 4,0 KB - MD5: 79556624587853c44265e7160eb318df
This dataset contains all the network's Avian influenza outbreaks (nodes) and their attributes. id_outbreak is the id number of each outbreak; the country is the place where the outbreak occurred according to the World Organisation for Animal Health database (WOAH); observation_d...
Tabular Data - 13,1 KB - 4 Variables, 212 Observations - UNF:6:47H3arTdhKWPnT5uMu59yg==
This dataset contains the name, the type_source, geographical_focus, and specialisation of the sources communicating on Avian influenza outbreaks
R Syntax - 8,9 KB - MD5: 0a30322b5b8364def1c027af499e17e6
This script uses a stepwise bidirectional approach to select the best covariates and the ERGM model for the network of sources and outbreaks of African swine fever obtained from PADI-web tool between 2018 and 2019.
Gzip Archive - 18,5 KB - MD5: eb1ccd35a2a1c8691d14316e208aeb9e
This dataset consists of the links (edges) between outbreaks and sources identified in the news reports of the PADI-web media monitoring tool worldwide between 2018 and 2019 for African swine fever. id_outbreak is the id number of each outbreak; the source is the name of the sour...
Gzip Archive - 3,5 KB - MD5: db9e1e59730418c63f928d04ec73a711
This dataset contains all the network's African swine fever outbreaks (nodes) and their attributes. id_outbreak is the id number of each outbreak; the country is the place where the outbreak occurred according to the World Organisation for Animal Health database (WOAH); observati...
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.