Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont, United States of America.
U.S. Geological Survey, Eastern Ecological Science Center, Laurel, Maryland, United States of America.
PLoS Comput Biol. 2024 Jul 12;20(7):e1012263. doi: 10.1371/journal.pcbi.1012263. eCollection 2024 Jul.
Emerging infectious diseases with zoonotic potential often have complex socioecological dynamics and limited ecological data, requiring integration of epidemiological modeling with surveillance. Although our understanding of SARS-CoV-2 has advanced considerably since its detection in late 2019, the factors influencing its introduction and transmission in wildlife hosts, particularly white-tailed deer (Odocoileus virginianus), remain poorly understood. We use a Susceptible-Infected-Recovered-Susceptible epidemiological model to investigate the spillover risk and transmission dynamics of SARS-CoV-2 in wild and captive white-tailed deer populations across various simulated scenarios. We found that captive scenarios pose a higher risk of SARS-CoV-2 introduction from humans into deer herds and subsequent transmission among deer, compared to wild herds. However, even in wild herds, the transmission risk is often substantial enough to sustain infections. Furthermore, we demonstrate that the strength of introduction from humans influences outbreak characteristics only to a certain extent. Transmission among deer was frequently sufficient for widespread outbreaks in deer populations, regardless of the initial level of introduction. We also explore the potential for fence line interactions between captive and wild deer to elevate outbreak metrics in wild herds that have the lowest risk of introduction and sustained transmission. Our results indicate that SARS-CoV-2 could be introduced and maintained in deer herds across a range of circumstances based on testing a range of introduction and transmission risks in various captive and wild scenarios. Our approach and findings will aid One Health strategies that mitigate persistent SARS-CoV-2 outbreaks in white-tailed deer populations and potential spillback to humans.
具有动物源性病原体的新发传染病通常具有复杂的社会生态动态,且生态数据有限,这需要将流行病学建模与监测相结合。虽然自 2019 年底发现 SARS-CoV-2 以来,我们对其的了解已经有了很大的提高,但对于影响其在野生动物宿主(尤其是白尾鹿)中引入和传播的因素,我们仍知之甚少。我们使用易感染-感染-恢复-易感染的流行病学模型,在各种模拟场景中研究了 SARS-CoV-2 在野生和圈养白尾鹿种群中的溢出风险和传播动态。我们发现,与野生鹿群相比,圈养场景会增加 SARS-CoV-2 从人类传播到鹿群并在鹿群中传播的风险。然而,即使在野生鹿群中,传播风险通常也足以维持感染。此外,我们证明,人类引入的强度只会在一定程度上影响疫情特征。鹿之间的传播常常足以导致鹿群中广泛爆发疫情,而与初始引入水平无关。我们还探讨了圈养和野生鹿之间围栏线相互作用的潜力,这种相互作用可能会提高野生鹿群的疫情指标,而野生鹿群的引入和持续传播风险最低。我们的结果表明,SARS-CoV-2 可以在各种圈养和野生场景中测试一系列引入和传播风险的情况下,在鹿群中引入和维持。我们的方法和研究结果将有助于减轻白尾鹿种群中持续爆发的 SARS-CoV-2 疫情以及潜在的向人类传播的风险的“同一健康”策略。