2010
DOI: 10.1016/j.prevetmed.2010.04.005
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Evaluation of the risk of neighbourhood infection of H7N1 Highly Pathogenic Avian Influenza in Italy using Q statistic

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Cited by 7 publications
(10 citation statements)
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“…Indeed, limited dissemination of the virus toward other provinces was observed from Verona. These findings are in agreement with previous epidemiological studies (39,40,44) and possibly are explained by differences among the provinces in the control strategies employed at the time. In Veneto, a ban of restocking and a preemptive culling strategy were started 20 days earlier and on a greater number of farms than in Lombardia, reducing virus transmission within and outside the Veneto area.…”
Section: Discussionsupporting
confidence: 92%
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“…Indeed, limited dissemination of the virus toward other provinces was observed from Verona. These findings are in agreement with previous epidemiological studies (39,40,44) and possibly are explained by differences among the provinces in the control strategies employed at the time. In Veneto, a ban of restocking and a preemptive culling strategy were started 20 days earlier and on a greater number of farms than in Lombardia, reducing virus transmission within and outside the Veneto area.…”
Section: Discussionsupporting
confidence: 92%
“…In contrast, HPAI viruses exhibited little structuring by province, reflecting their rapid spread among all of the affected provinces, even those separated by large distances. Although the risk of infection has been found to be associated with proximity to an infected farm (39,41,44), the movement of contaminated people, trucks, equipment, and products can rapidly drive viral transmission between distant flocks during an HPAI outbreak (39,42). Nevertheless, it is possible that we have missed the direct link between infected farms located in distant areas, as several outbreaks were identified only on the basis of results of serological, epidemiological, and clinical investigations (such that viruses and related genetic data were not available for these cases).…”
Section: Discussionmentioning
confidence: 99%
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“…Following the second level of screening, a total of 29 manuscripts were selected for data extraction. Excluded manuscripts (n = 116) were manuscripts describing (hereafter only a few references are given as examples, for a full overview see file "SR datasets.xlsx"): simulation models evaluating control measures (Backer et al, 2015;Dent et al, 2011;Dorigatti et al, 2010;Gonzales et al, 2014;Nickbakhsh et al, 2013;Nickbakhsh et al, 2014;Smith and Dunipace, 2011;te Beest et al, 2011), theoretical risk assessments (Edmunds et al, 2013;Hop and Saatkamp, 2010;Malladi et al, 2015;Martinez et al, 2009;Sanchez-Vizcaino et al, 2010), evaluation of control measures during epidemics (Busani et al, 2007a;Busani et al, 2007b;Mulatti et al, 2010a), quantifying or studying between or within farm transmission during epidemics (Bos et al, 2009), descriptive reviews (Artois et al, 2009;Brown et al, 2007;de Jong et al, 2009;van den Berg, 2009), quantifying risk factors for transmission or infection during epidemics (Busani et al, 2009a;Busani et al, 2009b;Mulatti et al, 2010b;Thomas et al, 2005;Ward et al, 2009a;Ypma et al, 2012), economic analysis of control measures (Boni et al, 2013;Longworth et al, 2014a, b), evaluation of surveillance data or design of surveillance programmes where some of the key features identified for selection and data collection were not provided (Comin et al, 2011;Gonzales et al, 2010;Welby et al, 2010), manuscripts describing the same outbreak as other manuscripts which were considered better suited for this study (Bouwstra et al, 2015a;Ward et al, 2008b), news releases or letters on peer-reviewed journa...…”
Section: Assessment/resultsmentioning
confidence: 99%
“…Also geographical representativeness may represent an issue, and some results may be difficultly transferrable to areas or Countries different than those accounted for in the article (Martínez et al, 2007;Milanko et al, 2009;Mulatti et al, 2010;Muzinic et al, 2010;Muzyka et al, 2012;Pannwitz et al, 2009). Similarly in a study performed on data derived from surveillance in Europe, 5 Member States contributed for 70% of the whole samples considered, and 2 of these represented the 30% of the total samples (Breed et al, 2010).…”
Section: Risk Of Biasmentioning
confidence: 99%