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Fusion of spatiotemporal and thematic features of textual data for animal disease surveillance

Information Processing in Agriculture 2023年第3期10卷 347-360页

作者： Sarah Valentin renaud lancelot Mathieu Roche CIRAD F-34398 MontpellierFrance ASTRE Univ MontpellierCIRADINRAEMontpellierFrance TETIS Univ MontpellierAgroParisTechCIRADCNRSINRAEMontpellierFrance Departement de Biologie Universite de SherbrookeSherbrookeQuebecCanada

Several internet-based surveillance systems have been created to monitor the web for animal health *** systems collect a large amount of news dealing with outbreaks related to animal *** identifying news articles that describe the same outbreak event is a key step to quickly detect relevant epidemiological information while alleviating manual curation of news *** paper addresses the task of retrieving news articles that are related in epidemiological *** tackle this issue using text mining and feature fusion *** main objective of this paper is to identify a textual representation in which two articles that share the same epidemiological content are *** compared two types of representations(i.e.,features)to represent the documents:(i)morphosyntactic features(i.e.,selection and transformation of all terms from the news,based on classical textual processing steps)and(ii)lexicosemantic features(i.e.,selection,transformation and fusion of epidemiological terms including diseases,hosts,locations and dates).We compared two types of term weighing(i.e.,Boolean and TF-IDF)for both *** combine and transform lexicosemantic features,we compared two data fusion techniques(i.e.,early fusion and late fusion)and the effect of features generalisation,while evaluating the relative importance of each type of *** conducted our analysis using a corpus composed of a subset of news articles in English related to animal disease *** results showed that the combination of relevant lexicosemantic(epidemiological)features using fusion methods improves classical morphosyntactic representation in the context of disease-related news *** lexicosemantic representation based on TF-IDF and feature generalisation(F-measure=0.92,r-precision=0.58)outperformed the morphosyntactic representation(F-measure=0.89,r-precision=0.45),while reducing the features *** the features into lower granular

关键词： Animal disease surveillance Text mining Ranking Fusion

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Identifying associations between epidemiological entities in news data for animal disease surveillance

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Artificial Intelligence in Agriculture 2021年第1期5卷 163-174页

作者： Sarah Valentin renaud lancelot Mathieu Roche CIRAD UMR ASTREUMR TETISF-34398 MontpellierFrance ASTRE Univ MontpellierCIRADINRAEMontpellierFrance TETIS Univ MontpellierAgroParisTechCIRADCNRSINRAEMontpellierFrance

Event-based surveillance systems are at the crossroads of human and animal(and plant and ecosystem)health,epidemiology,statistics,and ***,their deployment faces many challenges specific to each domain and their intersections,such as relations among automation,artificial intelligence,and *** this context,ourwork pertins to the extraction of epidemiological events in textual data(***)by unsupervised *** define the event extraction task as detecting pairs of epidemiological entities(e.g.a disease name and location).The quality of the ranked lists of pairs was evaluated using specific ranking evaluation *** used a publicly available annotated corpus of 438 documents(*** articles)related to animal disease *** statistical approach was able to detect event-related pairs of epidemiological features with a good trade-off between precision and *** results showed that using a window of words outperformed document-based and sentence-based approaches,while reducing the probability of detecting false *** results indicated that Mutual Information was less adapted than the Dice coefficient for ranking pairs of features in the event extraction *** believe that Mutual Information would be more relevant for rare pair detection(*** signals),but requires higher manual curation to avoid false positive extraction ***,generalising the country-level spatial features enabled better discrimination(***)of relevant disease-location pairs for event extraction.

关键词： Animal disease surveillance Text mining Event extraction

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Clinical and Epidemiological Evolution of Sheep Pox in Morocco

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Journal of Agricultural Science and Technology(A) 2019年第2期9卷 103-113页

作者： Sara Lafar Khalil Zro Andy Haegeman Mounir Khayli Kris De Clercq renaud lancelot My Mustapha Ennaji Laboratory of Virology Microbiology and Quality/Eco-Toxicology and BiodiversityFaculty of Sciences and Techniques of MohammediaHassan II University of CasablancaBP 146Mohammedia 20650Morocco Diagnosis Research and Development UnitBiological and Pharmaceutical Production CompanyBIOPHARMABP 4569Rabat 10000Morocco Vesicular and Exotic Diseases Unit Virology DepartmentCODA-CERVAGroeselenberg 99Brussels 1180Belgium National Office of Health and Food Products Security ONSSARabat 10000Morocco CIRAD Baillarguet International Campus 34398Montpellier Cedex 5France

Sheep pox is an infectious viral disease that affects specifically sheep and it is caused by the Capripoxvirus *** clinical signs include fever,diarrhea,difficulty breathing,nodules,lung lesions and *** Morocco,the 2010 epidemic of sheep pox was characterized by the emergence of a nodular form of the *** local strain was isolated and the analysis of affected animals was positively confirmed by virus isolation and real-time polymerase chain reaction(RT-PCR).The epidemiological analysis of 911 data records showed that the virus is endemic in the country;an average of 350 cases per year with an epizootic evolution was observed in *** incidence varies depending on provinces and the disease appears confined to the central and the eastern regions of the country where a very intensive sheep breeding activity is taking *** statistical analysis showed that there is a positive correlation between the endemicity and the significant factor of the rural market(p=0.006).The annual average morbidity and mortality rates were 2.96%(1.26%to 4.32%)and 0.71%(0.41%to 0.94%),*** clinical findings associated to the epidemiological data analysis confirmed the presence of sheep pox in its nodular form and suggest that new pathogenic strains may have been introduced from *** purpose of this work was to provide a better description of the spatiotemporal evolution of sheep pox disease based on some epidemiological indicators and to put forward plausible hypotheses regarding the emergence of the virus in order to implement an adequate control strategy.

关键词： Sheep pox Capripoxvirus epidemiology clinical signs virus isolation RT-PCR

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