1 to 10 of 18 Results
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 |
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... |
13 nov. 2024 -
Dataset for Evaluating location strategies in Padiweb
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... |