MOOD

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

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1 to 10 of 22 Results

Dataset for Evaluating location strategies in Padiweb 13 nov. 2024 Trevennec, Carlene; Bououda, Samira; Roche, Mathieu, 2024, "Dataset for Evaluating location strategies in Padiweb", https://doi.org/10.18167/DVN1/Y1J9XK, CIRAD Dataverse, V1 This dataset has been built in the framework of the optimization of the MUlti-Source surveillance Tool for the detection of Avian Influenza outbreaks in mammalian species (MUST-AI). The MUST-AI tool collects health events reported from 3 sources: two official sources, WAHIS from...
Foot note.pdf 13 nov. 2024 - Dataset for Evaluating location strategies in Padiweb Adobe PDF - 221,8 KB - MD5: 9ffd61a78a26ec0234e3d98a07fc601b Case study Literature_2 becomes WAHIS ob_101445
HPAI_mammals_articles_PADI-web.csv 13 nov. 2024 - Dataset for Evaluating location strategies in Padiweb 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...
Method.pdf 13 nov. 2024 - Dataset for Evaluating location strategies in Padiweb Adobe PDF - 530,7 KB - MD5: 4208ec19abeb7c18a3e8dc37b2b8041e method and main results
Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool 13 mars 2024 Rodde, Solene; Arsevska, Elena, 2024, "Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool", https://doi.org/10.18167/DVN1/W858OB, CIRAD Dataverse, V1, UNF:6:znQlsk3wqBA6ltVQzBaE3g== [fileUNF] This repository contains the data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever identified in the news by the PADI-web media monitoring tool (https://padi-web.cirad.fr/en/) worldwide between 2018 and 2019. More prec...
AI_ERGM.R 13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool 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.
ai_network.rda 13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool 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...
ai_outbreak.rda 13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool 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...
ai_source.tab 13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool 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
ASF_ERGM.R 13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool 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.

Dataset for Evaluating location strategies in Padiweb

13 nov. 2024

Trevennec, Carlene; Bououda, Samira; Roche, Mathieu, 2024, "Dataset for Evaluating location strategies in Padiweb", https://doi.org/10.18167/DVN1/Y1J9XK, CIRAD Dataverse, V1

This dataset has been built in the framework of the optimization of the MUlti-Source surveillance Tool for the detection of Avian Influenza outbreaks in mammalian species (MUST-AI). The MUST-AI tool collects health events reported from 3 sources: two official sources, WAHIS from...

Foot note.pdf

13 nov. 2024 - Dataset for Evaluating location strategies in Padiweb

Adobe PDF - 221,8 KB -

Case study Literature_2 becomes WAHIS ob_101445

HPAI_mammals_articles_PADI-web.csv

13 nov. 2024 - Dataset for Evaluating location strategies in Padiweb

Comma Separated Values - 33,3 KB -

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...

Method.pdf

13 nov. 2024 - Dataset for Evaluating location strategies in Padiweb

Adobe PDF - 530,7 KB -

method and main results

Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool

13 mars 2024

Rodde, Solene; Arsevska, Elena, 2024, "Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool", https://doi.org/10.18167/DVN1/W858OB, CIRAD Dataverse, V1, UNF:6:znQlsk3wqBA6ltVQzBaE3g== [fileUNF]

This repository contains the data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever identified in the news by the PADI-web media monitoring tool (https://padi-web.cirad.fr/en/) worldwide between 2018 and 2019. More prec...

AI_ERGM.R

13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool

R Syntax - 9,1 KB -

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.

ai_network.rda

13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool

Gzip Archive - 13,6 KB -

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...

ai_outbreak.rda

13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool

Gzip Archive - 4,0 KB -

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...

ai_source.tab

13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool

Tabular Data - 13,1 KB - 4 Variables, 212 Observations -

This dataset contains the name, the type_source, geographical_focus, and specialisation of the sources communicating on Avian influenza outbreaks

ASF_ERGM.R

13 mars 2024 - Data and code for analysis of a bi-mode network of sources and outbreaks of Avian influenza and African swine fever, identified by the PADI-web media monitoring tool

R Syntax - 8,9 KB -

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.

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