4.7 Article

Transmission ecology of canine parvovirus in a multi-host, multi-pathogen system

出版社

ROYAL SOC
DOI: 10.1098/rspb.2018.2772

关键词

state-space models; longitudinal serology; coinfection; domestic-wildlife interface; maintenance host; vaccine shedding

资金

  1. Leverhulme Trust [RPG-2015-259]
  2. UK MRC
  3. DFID
  4. EDCTP2 programme - EU [MR/N015320/1]
  5. NIH/NSF [DEB0225453]
  6. BBSRC [BB/R019843/1, BB/R004250/1] Funding Source: UKRI

向作者/读者索取更多资源

Understanding multi-host pathogen maintenance and transmission dynamics is critical for disease control. However, transmission dynamics remain enigmatic largely because they are difficult to observe directly, particularly in wildlife. Here, we investigate the transmission dynamics of canine parvovirus (CPV) using state-space modelling of 20 years of CPV serology data from domestic dogs and African lions in the Serengeti ecosystem. We show that, although vaccination reduces the probability of infection in dogs, and despite indirect enhancement of population seropositivity as a result of vaccine shedding, the vaccination coverage achieved has been insufficient to prevent CPV from becoming widespread. CPV is maintained by the dog population and has become endemic with approximately 3.5-year cycles and prevalence reaching approximately 80%. While the estimated prevalence in lions is lower, peaks of infection consistently follow those in dogs. Dogs exposed to CPV are also more likely to become infected with a second multi-host pathogen, canine distemper virus. However, vaccination can weaken this coupling, raising questions about the value of monovalent versus polyvalent vaccines against these two pathogens. Our findings highlight the need to consider both pathogen-and host-level community interactions when seeking to understand the dynamics of multi-host pathogens and their implications for conservation, disease surveillance and control programmes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据