Arianna Comin
National Veterinary Institute
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Epidemiology and Infection | 2015
Víctor Rodríguez-Prieto; Marina Vicente-Rubiano; A. Sánchez-Matamoros; Consuelo Rubio-Guerri; Mar Melero; Beatriz Martínez-López; Marta Martínez-Avilés; Linda Hoinville; Timothée Vergne; Arianna Comin; Birgit Schauer; F. Dórea; Dirk U. Pfeiffer; José Manuel Sánchez-Vizcaíno
In this globalized world, the spread of new, exotic and re-emerging diseases has become one of the most important threats to animal production and public health. This systematic review analyses conventional and novel early detection methods applied to surveillance. In all, 125 scientific documents were considered for this study. Exotic (n = 49) and re-emerging (n = 27) diseases constituted the most frequently represented health threats. In addition, the majority of studies were related to zoonoses (n = 66). The approaches found in the review could be divided in surveillance modalities, both active (n = 23) and passive (n = 5); and tools and methodologies that support surveillance activities (n = 57). Combinations of surveillance modalities and tools (n = 40) were also found. Risk-based approaches were very common (n = 60), especially in the papers describing tools and methodologies (n = 50). The main applications, benefits and limitations of each approach were extracted from the papers. This information will be very useful for informing the development of tools to facilitate the design of cost-effective surveillance strategies. Thus, the current literature review provides key information about the advantages, disadvantages, limitations and potential application of methodologies for the early detection of new, exotic and re-emerging diseases.
Infection ecology & epidemiology | 2016
Helene Wahlström; Arianna Comin; Mats Isaksson; Peter Deplazes
Introduction A semi-automated magnetic capture probe-based DNA extraction and real-time PCR method (MC-PCR), allowing for a more efficient large-scale surveillance of Echinococcus multilocularis occurrence, has been developed. The test sensitivity has previously been evaluated using the sedimentation and counting technique (SCT) as a gold standard. However, as the sensitivity of the SCT is not 1, test characteristics of the MC-PCR was also evaluated using latent class analysis, a methodology not requiring a gold standard. Materials and methods Test results, MC-PCR and SCT, from a previous evaluation of the MC-PCR using 177 foxes shot in the spring (n=108) and autumn 2012 (n=69) in high prevalence areas in Switzerland were used. Latent class analysis was used to estimate the test characteristics of the MC-PCR. Although it is not the primary aim of this study, estimates of the test characteristics of the SCT were also obtained. Results and discussion This study showed that the sensitivity of the MC-PCR was 0.88 [95% posterior credible interval (PCI) 0.80–0.93], which was not significantly different than the SCT, 0.83 (95% PCI 0.76–0.88), which is currently considered as the gold standard. The specificity of both tests was high, 0.98 (95% PCI 0.94–0.99) for the MC-PCR and 0.99 (95% PCI 0.99–1) for the SCT. In a previous study, using fox scats from a low prevalence area, the specificity of the MC-PCR was higher, 0.999% (95% PCI 0.997–1). One reason for the lower estimate of the specificity in this study could be that the MC-PCR detects DNA from infected but non-infectious rodents eaten by foxes. When using MC-PCR in low prevalence areas or areas free from the parasite, a positive result in the MC-PCR should be regarded as a true positive. Conclusion The sensitivity of the MC-PCR (0.88) was comparable to the sensitivity of SCT (0.83).
Epidemiology and Infection | 2017
B. Bisdorff; Birgit Schauer; Nick Taylor; Víctor Rodríguez-Prieto; Arianna Comin; Adam Brouwer; Fernanda C. Dórea; Julian A. Drewe; L. Hoinville; Ann Lindberg; Marta Martínez Avilés; Beatriz Martínez-López; Marie-Isabelle Peyre; J. Pinto Ferreira; Jonathan Rushton; G. van Schaik; K.D.C. Stärk; Christoph Staubach; Marina Vicente-Rubiano; G. Witteveen; Dirk U. Pfeiffer; Barbara Häsler
Animal health surveillance enables the detection and control of animal diseases including zoonoses. Under the EU-FP7 project RISKSUR, a survey was conducted in 11 EU Member States and Switzerland to describe active surveillance components in 2011 managed by the public or private sector and identify gaps and opportunities. Information was collected about hazard, target population, geographical focus, legal obligation, management, surveillance design, risk-based sampling, and multi-hazard surveillance. Two countries were excluded due to incompleteness of data. Most of the 664 components targeted cattle (26·7%), pigs (17·5%) or poultry (16·0%). The most common surveillance objectives were demonstrating freedom from disease (43·8%) and case detection (26·8%). Over half of components applied risk-based sampling (57·1%), but mainly focused on a single population stratum (targeted risk-based) rather than differentiating between risk levels of different strata (stratified risk-based). About a third of components were multi-hazard (37·3%). Both risk-based sampling and multi-hazard surveillance were used more frequently in privately funded components. The study identified several gaps (e.g. lack of systematic documentation, inconsistent application of terminology) and opportunities (e.g. stratified risk-based sampling). The greater flexibility provided by the new EU Animal Health Law means that systematic evaluation of surveillance alternatives will be required to optimize cost-effectiveness.
Tropical Animal Health and Production | 2018
Alessandro Cristalli; Matteo Morini; Arianna Comin; Katia Capello; Kyaw Sunn; Marco Martini
Highly pathogenic avian influenza virus subtype H5N1 first entered Myanmar in 2006 in the Mandalay District. Several H5N1 outbreaks followed and the one of Bago East District (2007) required post outbreak surveillance in the at-risk domestic duck population of the Moyingyi Wetland. A field epidemiological study based on a randomised prospective stratified study with five surveys provided the serological evidence that the avian influenza H5 subtype circulates in the domestic duck population and spreads to almost all the newly housed (and negative) flocks in the time span of a seasonal production cycle. Virological investigation was negative. The survival analysis showed that the probability of seroconversion increased rapidly over the study period, without significant difference among different agro-ecosystems. The analysis suggests that viral spread in the new cycle could be limited if control measures were adopted at the time new flocks are housed. The study recommends that future surveillance schemes for ducks are designed in a way to get as much information as possible from serological results which should drive virological sampling to determined farms.
Epidemiology and Infection | 2014
Lapo Mughini-Gras; Lebana Bonfanti; Alda Natale; Arianna Comin; A. Ferronato; E. La Greca; Tommaso Patregnani; L. Lucchese; Stefano Marangon
Acta Veterinaria Scandinavica | 2017
Giulio Grandi; Arianna Comin; Osama Ibrahim; Roland Schaper; Ulrika Forshell; Eva Osterman Lind
Proceedings 2nd International Conference on Animal Health Surveillance : "Surveillance against the odds" ; Havana (Cuba) May 7-9, 2014 | 2014
Barbara Häsler; B. Bisdorff; Adam Brouwer; Arianna Comin; Fernanda C. Dórea; Julian A. Drewe; J. Hardstaff; L. Hoinville; Ann Lindberg; Sophie Molia; Marisa Peyre; J. Pinto-Ferreira; V. Rodriiguez-Prieto; Jonathan Rushton; G. van Schaik; Birgit Schauer; Christoph Staubach; Nick Taylor; M. Vicente; G. Witteveen; Dirk U. Pfeiffer
Large Animal Review | 2014
Lapo Mughini-Gras; Tommaso Patregnani; S. Nardelli; Laura Gagliazzo; Arianna Comin; G. Savini; Stefano Marangon; Lebana Bonfanti
EFSA Supporting Publications | 2017
Fernanda C. Dórea; Manon Swanenburg; Herman van Roermund; Verity Horigan; Clazien J. de Vos; Paul Gale; Tobias Lilja; Arianna Comin; Céline Bahuon; Stéphan Zientara; Beth Young; Flavie Vial; Rowena Kosmider; Ann Lindberg
Archive | 2016
Marta Martínez Avilés; Lucy Snow; G. van Schaik; Arianna Comin; Birgit Schauer; Barbara Haesler; B. Bisdorff; Marie-Isabelle Peyre; Linda Hoinville; Katharina Staerk; Dirk U. Pfeiffer; José Manuel Sánchez-Vizcaíno
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Centre de coopération internationale en recherche agronomique pour le développement
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