Department of Virology, Central Veterinary Institute of Wageningen UR, P.O. Box 65, 8200 AB, Lelystad, The Netherlands.
Prev Vet Med. 2011 Feb 1;98(2-3):152-64. doi: 10.1016/j.prevetmed.2010.11.010. Epub 2010 Dec 10.
Several routes contribute to the spread of classical swine fever (CSF) during outbreaks of this disease. However, for many infected herds in recent epidemics, no route of virus introduction could be indentified. To obtain more insight into the relative importance of secretions and excretions in transmission of CSF virus, a model was developed. This model quantified the daily transmission probabilities from one infectious pig to one susceptible pig, using quantitative data on: (a) virus excretion by infected pigs, (b) survival of virus in the environment and (c) virus dose needed to infect susceptible pigs. Furthermore, the model predicted the relative contribution of secretions and excretions to this daily probability of infection of a susceptible pig. Three virus strains that differed in virulence were evaluated with the model: the highly virulent strain Brescia, the moderately virulent strain Paderborn and the low virulent strain Zoelen. Results suggest that it is highly probable that susceptible pigs in contact with Brescia or Paderborn infected pigs will be infected. For a pig in contact with a Zoelen infected pig, infection is less likely. When contact with blood is excluded, the predicted overall probability of infection was only 0.08 over the entire infectious period. The three strains differed in the relative contribution of secretions and excretions to transmission, although blood had a high probability of causing infection of a susceptible pig when in contact with a pig infected with any strain. This supports the statement that during outbreaks, control measures should ideally be based on the characteristics of the specific virus strain involved, which implies the development of strain-specific measures.
几种途径导致了古典猪瘟(CSF)在该病爆发期间的传播。然而,在最近的几次疫情中,许多受感染的牛群都无法确定病毒的引入途径。为了更深入地了解分泌物和排泄物在 CSF 病毒传播中的相对重要性,开发了一种模型。该模型使用以下定量数据来量化从一个感染猪到一个易感猪的每日传播概率:(a)感染猪的病毒排泄量、(b)病毒在环境中的存活情况以及(c)感染易感猪所需的病毒剂量。此外,该模型预测了分泌物和排泄物对易感猪每日感染概率的相对贡献。使用该模型评估了三种毒力不同的病毒株:高毒力株 Brescia、中度毒力株 Paderborn 和低毒力株 Zoelen。结果表明,接触 Brescia 或 Paderborn 感染猪的易感猪极有可能被感染。对于接触 Zoelen 感染猪的猪,感染的可能性较小。当排除接触血液时,在整个感染期内,感染的总体预测概率仅为 0.08。三种菌株在分泌物和排泄物对传播的相对贡献方面存在差异,尽管当接触感染任何菌株的猪时,血液极有可能导致易感猪感染。这支持了这样一种说法,即在疫情爆发期间,控制措施理想情况下应基于涉及的特定病毒株的特征,这意味着应制定针对特定毒株的措施。