Literature DB >> 20422522

Geographic information systems: a useful tool to approach African swine fever surveillance management of wild pig populations.

Sandro Rolesu1, Daniela Aloi, Annalisa Ghironi, Nicolino Oggiano, Annalisa Oggiano, Giantonella Puggioni, Cristiana Patta, Salvatore Farina, Salvatore Montinaro.   

Abstract

The epidemiological surveillance of African swine fever in wild pig populations requires the previous collection of numerous samples of biological materials for virological and serological testing from each animal that has been killed during the hunting season. The number of samples needs to demonstrate the absence of the disease at a prevalence level of 5% (and confidence level of 95%) in the area subject observed. Since the typology of the territory suitable for maintaining wild pig populations and the precise location can be identified, it is possible to pinpoint specific areas within Sardinia where organised sampling is undertaken. The results from tests are used to estimate the prevalence of the disease in the wild pig population in the place of origin. Areas were identified using the geographic information system technology with support from maps in the field. The correct localisation of seropositivity has led to the redefinition of high-risk areas for African swine fever. Results from the outbreaks and the surveillance of the wild pig population has confirmed the decreasing role of the wild boar in maintaining the disease.

Entities:  

Year:  2007        PMID: 20422522

Source DB:  PubMed          Journal:  Vet Ital        ISSN: 0505-401X            Impact factor:   1.101


  5 in total

1.  Evaluation of the risk factors contributing to the African swine fever occurrence in Sardinia, Italy.

Authors:  Beatriz Martínez-López; Andres M Perez; Francesco Feliziani; Sandro Rolesu; Lina Mur; José M Sánchez-Vizcaíno
Journal:  Front Microbiol       Date:  2015-04-14       Impact factor: 5.640

2.  Genetic characterisation of African swine fever viruses from recent and historical outbreaks in Sardinia (1978-2009).

Authors:  Monica Giammarioli; Carmina Gallardo; Annalisa Oggiano; Carmen Iscaro; Raquel Nieto; Claudia Pellegrini; Silvia Dei Giudici; Marisa Arias; Gian Mario De Mia
Journal:  Virus Genes       Date:  2011-03-05       Impact factor: 2.332

3.  Socio-economic factors as indicators for various animal diseases in Sardinia.

Authors:  Federica Loi; Alberto Laddomada; Annamaria Coccollone; Elena Marrocu; Toni Piseddu; Giovanna Masala; Ennio Bandino; Stefano Cappai; Sandro Rolesu
Journal:  PLoS One       Date:  2019-06-03       Impact factor: 3.240

4.  Standardized Risk Analysis Approach Aimed to Evaluate the Last African Swine Fever Eradication Program Performance, in Sardinia.

Authors:  Federica Loi; Stefano Cappai; Annamaria Coccollone; Sandro Rolesu
Journal:  Front Vet Sci       Date:  2019-09-13

Review 5.  Evaluation of the cost-effectiveness of ASF detection with or without the use of on-field tests in different scenarios, in Sardinia.

Authors:  Stefano Cappai; Federica Loi; Sandro Rolesu; Annamaria Coccollone; Alberto Laddomada; Francesco Sgarangella; Sergio Masala; Giuseppe Bitti; Vincenzo Floris; Pietro Desini
Journal:  J Vet Sci       Date:  2020-03       Impact factor: 1.672

  5 in total

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