Open AccessHarmonisation Of Transmissible disease Interpretation in the EU ( HOTLINE )
Author(s) -
Kostoulas Polychronis,
Giovannini Armando,
Alba Ana,
Comin Arianna,
Meletis Eleftherios,
Iannetti Simona,
Napp Sebastian,
Lindberg Ann,
Solomakos Nikolaos
Publication year - 2019
Publication title -
efsa supporting publications
Language(s) - English
Resource type - Journals
ISSN - 2397-8325
DOI - 10.2903/sp.efsa.2019.en-1678
Subject(s) - hotline , session (web analytics) , computer science , sampling (signal processing) , bayesian probability , software deployment , data science , disease , medicine , world wide web , artificial intelligence , pathology , telecommunications , detector , operating system
Countries typically collect disease data in a way that is best suited for their specific needs. Therefore, differences exist in the sampling schemes and the diagnostic methods, which produce non‐comparable data and, subsequently, non‐comparable estimates of the prevalence of disease. The objective of the HOTLINE project was to make disease information comparable and interpretable across different sampling and testing settings. To serve this objective a series of Bayesian tools were developed and applied. Reporting guidelines aimed at promoting a more consistent approach to communication of animal health surveillance activities and their outputs, including what information must be reported to make true prevalence estimation feasible, have also been created. For tutorial purposes, an interactive web application was created to carry out Bayesian analysis of hierarchically structured prevalence data. E‐lectures and training material for all models and methods are available through the free training session of our webpage with step by step explanations. Finally, a mailing list and LinkedIn group have been established to sustain a fruitful communication in the development and deployment of such methods.