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Open AccessArticle

EpiExploreR: A Shiny Web Application for the Analysis of Animal Disease Data

Centro Operativo Veterinario per l’Epidemiologia, Programmazione, Informazione e Analisi del Rischio (COVEPI), National Reference Center for Veterinary Epidemiology, Istituto Zooprofilattico Sperimentale, dell’Abruzzo e del Molise “G. Caporale”, Campo Boario, 64100 Teramo, Italy
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Microorganisms 2019, 7(12), 680; https://doi.org/10.3390/microorganisms7120680
Received: 28 October 2019 / Revised: 9 December 2019 / Accepted: 10 December 2019 / Published: 11 December 2019
(This article belongs to the Special Issue Epidemiology of Zoonotic Diseases)
Emerging and re-emerging infectious diseases are a significant public and animal health threat. In some zoonosis, the early detection of virus spread in animals is a crucial early warning for humans. The analyses of animal surveillance data are therefore of paramount importance for public health authorities to identify the appropriate control measure and intervention strategies in case of epidemics. The interaction among host, vectors, pathogen and environment require the analysis of more complex and diverse data coming from different sources. There is a wide range of spatiotemporal methods that can be applied as a surveillance tool for cluster detection, identification of risk areas and risk factors and disease transmission pattern evaluation. However, despite the growing effort, most of the recent integrated applications still lack of managing simultaneously different datasets and at the same time making available an analytical tool for a complete epidemiological assessment. In this paper, we present EpiExploreR, a user-friendly, flexible, R-Shiny web application. EpiExploreR provides tools integrating common approaches to analyze spatiotemporal data on animal diseases in Italy, including notified outbreaks, surveillance of vectors, animal movements data and remotely sensed data. Data exploration and analysis results are displayed through an interactive map, tables and graphs. EpiExploreR is addressed to scientists and researchers, including public and animal health professionals wishing to test hypotheses and explore data on surveillance activities. View Full-Text
Keywords: R-software; Shiny; spatiotemporal analyses; zoonosis; vector borne diseases; SaTScan; network analysis R-software; Shiny; spatiotemporal analyses; zoonosis; vector borne diseases; SaTScan; network analysis
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Savini, L.; Candeloro, L.; Perticara, S.; Conte, A. EpiExploreR: A Shiny Web Application for the Analysis of Animal Disease Data. Microorganisms 2019, 7, 680.

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