Calò Stefania, Tironi Marco, Cappa Veronica, Scaburri Alessandra, Perna Stefano Francesco, Chiari Mario, Marracci Massimo, Bellini Silvia
Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia-Romagna "Bruno Ubertini", Via Bianchi, 9, 25124 Brescia, Italy.
Direzione Generale Welfare di Regione Lombardia, Unità Organizzativa Veterinaria, Piazza Città di Lombardia, 20124 Milan, Italy.
Pathogens. 2023 Dec 18;12(12):1462. doi: 10.3390/pathogens12121462.
African swine fever (ASF) continues to spread worldwide, and has reached multiple countries across Asia, the Caribbean, Europe, and the Pacific, representing a serious economic burden threatening pig health and welfare, as well as food security. The disease affects domestic pigs and wild boar, and in several European countries the disease is endemic in wild boars. The lack of vaccines or effective treatments highlights the importance of effective control measures used to keep domestic and feral pigs separated to prevent the spread of the virus. However, the study of the livestock-wildlife interface is quite complex and has many aspects to consider, including the uncertainty of wild-boar population data. In this study, we determined the risk of spread of the ASF virus at the interface between domestic pigs and wild boars using indicators that can indirectly indicate the presence of wild boars in order to target specific control measures in the highest risk areas. The results of the study were compared with those obtained by Pittiglio, in which the population data for wild boars was estimated using a geostatistical method and similar results were obtained. However, the present study used specific information relating to the wild-boar population and this allowed us to use fewer variables.
非洲猪瘟(ASF)继续在全球范围内传播,已蔓延至亚洲、加勒比地区、欧洲和太平洋的多个国家,这构成了一项严重的经济负担,威胁着猪的健康和福祉以及食品安全。该疾病会感染家猪和野猪,在一些欧洲国家,野猪中该疾病呈地方性流行。由于缺乏疫苗或有效治疗方法,凸显了采取有效控制措施将家猪和野猪隔离以防止病毒传播的重要性。然而,对家畜与野生动物界面的研究相当复杂,有许多方面需要考虑,包括野猪种群数据的不确定性。在本研究中,我们使用能够间接表明野猪存在的指标来确定非洲猪瘟病毒在家猪与野猪界面传播的风险,以便针对高风险地区采取特定的控制措施。本研究结果与皮蒂廖(Pittiglio)的研究结果进行了比较,皮蒂廖的研究使用地理统计方法估算野猪种群数据并得出了类似结果。然而,本研究使用了与野猪种群相关的特定信息,这使我们能够使用更少的变量。