Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks
In a context of intensification of international trade and travels, the transboundary spread of emerging human or animal pathogens represents a growing concern. One of the missions of the national veterinary services is to implement international epidemiological intelligence for a timely and accurate detection of emerging animal infectious diseases (EAID) worldwide, and take early actions to prevent their introduction on the national territory. For this purpose, an efficient use of the information published on the web is essential. The authors present a comprehensive method for identification of relevant associations between terms describing clinical signs and hosts to build queries to monitor the web for early detection of EAID. Using text and web mining approaches, they present statistical measures for automatic selection of relevant associations between terms. In addition, expert elicitation is used to highlight the most relevant terms and associations among those automatically selected. The authors assessed the performance of the combination of the automatic approach and expert elicitation to monitor the web for a list of selected animal pathogens.
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dig-cirad-fr-5815182024-02-09T17:01:13Z http://agritrop.cirad.fr/581518/ http://agritrop.cirad.fr/581518/ Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks. Arsevska Elena, Roche Mathieu, Hendrikx Pascal, Chavernac David, Falala Sylvain, Lancelot Renaud, Dufour Barbara. 2016. International Journal of Agricultural and Environmental Information Systems, 7 (3) : 1-10.https://doi.org/10.4018/IJAEIS.2016070101 <https://doi.org/10.4018/IJAEIS.2016070101> Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks Arsevska, Elena Roche, Mathieu Hendrikx, Pascal Chavernac, David Falala, Sylvain Lancelot, Renaud Dufour, Barbara eng 2016 International Journal of Agricultural and Environmental Information Systems L73 - Maladies des animaux C30 - Documentation et information fouille de textes épidémiologie identification maladie transfrontière agent pathogène maladie infectieuse maladie des animaux maladie de l'homme commerce international introduction d'animaux intensification surveillance épidémiologique genre humain prévention des maladies hôte http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_37747 http://aims.fao.org/aos/agrovoc/c_5630 http://aims.fao.org/aos/agrovoc/c_34024 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_29198 http://aims.fao.org/aos/agrovoc/c_3919 http://aims.fao.org/aos/agrovoc/c_24116 http://aims.fao.org/aos/agrovoc/c_33485 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_4586 http://aims.fao.org/aos/agrovoc/c_10394 http://aims.fao.org/aos/agrovoc/c_3673 In a context of intensification of international trade and travels, the transboundary spread of emerging human or animal pathogens represents a growing concern. One of the missions of the national veterinary services is to implement international epidemiological intelligence for a timely and accurate detection of emerging animal infectious diseases (EAID) worldwide, and take early actions to prevent their introduction on the national territory. For this purpose, an efficient use of the information published on the web is essential. The authors present a comprehensive method for identification of relevant associations between terms describing clinical signs and hosts to build queries to monitor the web for early detection of EAID. Using text and web mining approaches, they present statistical measures for automatic selection of relevant associations between terms. In addition, expert elicitation is used to highlight the most relevant terms and associations among those automatically selected. The authors assessed the performance of the combination of the automatic approach and expert elicitation to monitor the web for a list of selected animal pathogens. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/581518/1/Identification-of-Associations-between-Clinical-Signs-and-Hosts-to-Monitor-the-Web-for-Detection-of-Animal-Disease-Outbreaks.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.4018/IJAEIS.2016070101 10.4018/IJAEIS.2016070101 info:eu-repo/semantics/altIdentifier/doi/10.4018/IJAEIS.2016070101 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.4018/IJAEIS.2016070101 |
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L73 - Maladies des animaux C30 - Documentation et information fouille de textes épidémiologie identification maladie transfrontière agent pathogène maladie infectieuse maladie des animaux maladie de l'homme commerce international introduction d'animaux intensification surveillance épidémiologique genre humain prévention des maladies hôte http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_37747 http://aims.fao.org/aos/agrovoc/c_5630 http://aims.fao.org/aos/agrovoc/c_34024 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_29198 http://aims.fao.org/aos/agrovoc/c_3919 http://aims.fao.org/aos/agrovoc/c_24116 http://aims.fao.org/aos/agrovoc/c_33485 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_4586 http://aims.fao.org/aos/agrovoc/c_10394 http://aims.fao.org/aos/agrovoc/c_3673 L73 - Maladies des animaux C30 - Documentation et information fouille de textes épidémiologie identification maladie transfrontière agent pathogène maladie infectieuse maladie des animaux maladie de l'homme commerce international introduction d'animaux intensification surveillance épidémiologique genre humain prévention des maladies hôte http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_37747 http://aims.fao.org/aos/agrovoc/c_5630 http://aims.fao.org/aos/agrovoc/c_34024 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_29198 http://aims.fao.org/aos/agrovoc/c_3919 http://aims.fao.org/aos/agrovoc/c_24116 http://aims.fao.org/aos/agrovoc/c_33485 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_4586 http://aims.fao.org/aos/agrovoc/c_10394 http://aims.fao.org/aos/agrovoc/c_3673 |
spellingShingle |
L73 - Maladies des animaux C30 - Documentation et information fouille de textes épidémiologie identification maladie transfrontière agent pathogène maladie infectieuse maladie des animaux maladie de l'homme commerce international introduction d'animaux intensification surveillance épidémiologique genre humain prévention des maladies hôte http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_37747 http://aims.fao.org/aos/agrovoc/c_5630 http://aims.fao.org/aos/agrovoc/c_34024 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_29198 http://aims.fao.org/aos/agrovoc/c_3919 http://aims.fao.org/aos/agrovoc/c_24116 http://aims.fao.org/aos/agrovoc/c_33485 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_4586 http://aims.fao.org/aos/agrovoc/c_10394 http://aims.fao.org/aos/agrovoc/c_3673 L73 - Maladies des animaux C30 - Documentation et information fouille de textes épidémiologie identification maladie transfrontière agent pathogène maladie infectieuse maladie des animaux maladie de l'homme commerce international introduction d'animaux intensification surveillance épidémiologique genre humain prévention des maladies hôte http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_37747 http://aims.fao.org/aos/agrovoc/c_5630 http://aims.fao.org/aos/agrovoc/c_34024 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_29198 http://aims.fao.org/aos/agrovoc/c_3919 http://aims.fao.org/aos/agrovoc/c_24116 http://aims.fao.org/aos/agrovoc/c_33485 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_4586 http://aims.fao.org/aos/agrovoc/c_10394 http://aims.fao.org/aos/agrovoc/c_3673 Arsevska, Elena Roche, Mathieu Hendrikx, Pascal Chavernac, David Falala, Sylvain Lancelot, Renaud Dufour, Barbara Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks |
description |
In a context of intensification of international trade and travels, the transboundary spread of emerging human or animal pathogens represents a growing concern. One of the missions of the national veterinary services is to implement international epidemiological intelligence for a timely and accurate detection of emerging animal infectious diseases (EAID) worldwide, and take early actions to prevent their introduction on the national territory. For this purpose, an efficient use of the information published on the web is essential. The authors present a comprehensive method for identification of relevant associations between terms describing clinical signs and hosts to build queries to monitor the web for early detection of EAID. Using text and web mining approaches, they present statistical measures for automatic selection of relevant associations between terms. In addition, expert elicitation is used to highlight the most relevant terms and associations among those automatically selected. The authors assessed the performance of the combination of the automatic approach and expert elicitation to monitor the web for a list of selected animal pathogens. |
format |
article |
topic_facet |
L73 - Maladies des animaux C30 - Documentation et information fouille de textes épidémiologie identification maladie transfrontière agent pathogène maladie infectieuse maladie des animaux maladie de l'homme commerce international introduction d'animaux intensification surveillance épidémiologique genre humain prévention des maladies hôte http://aims.fao.org/aos/agrovoc/c_dca12b72 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_3791 http://aims.fao.org/aos/agrovoc/c_37747 http://aims.fao.org/aos/agrovoc/c_5630 http://aims.fao.org/aos/agrovoc/c_34024 http://aims.fao.org/aos/agrovoc/c_426 http://aims.fao.org/aos/agrovoc/c_29198 http://aims.fao.org/aos/agrovoc/c_3919 http://aims.fao.org/aos/agrovoc/c_24116 http://aims.fao.org/aos/agrovoc/c_33485 http://aims.fao.org/aos/agrovoc/c_16411 http://aims.fao.org/aos/agrovoc/c_4586 http://aims.fao.org/aos/agrovoc/c_10394 http://aims.fao.org/aos/agrovoc/c_3673 |
author |
Arsevska, Elena Roche, Mathieu Hendrikx, Pascal Chavernac, David Falala, Sylvain Lancelot, Renaud Dufour, Barbara |
author_facet |
Arsevska, Elena Roche, Mathieu Hendrikx, Pascal Chavernac, David Falala, Sylvain Lancelot, Renaud Dufour, Barbara |
author_sort |
Arsevska, Elena |
title |
Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks |
title_short |
Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks |
title_full |
Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks |
title_fullStr |
Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks |
title_full_unstemmed |
Identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks |
title_sort |
identification of associations between clinical signs and hosts to monitor the web for detection of animal disease outbreaks |
url |
http://agritrop.cirad.fr/581518/ http://agritrop.cirad.fr/581518/1/Identification-of-Associations-between-Clinical-Signs-and-Hosts-to-Monitor-the-Web-for-Detection-of-Animal-Disease-Outbreaks.pdf |
work_keys_str_mv |
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