Okamoto Kenichi W, Ong Virakbott, Wallace Robert, Wallace Rodrick, Chaves Luis Fernando
Department of Biology, University of St. Thomas, St. Paul, MN 55105 USA.
Agroecology and Rural Economics Research Corps, St. Paul, MN USA.
Nonlinear Dyn. 2023;111(1):927-949. doi: 10.1007/s11071-022-07548-7. Epub 2022 Jun 20.
Controlling many infectious diseases, including SARS-Coronavirus-2 (SARS-CoV-2), requires surveillance followed by isolation, contact-tracing and quarantining. These interventions often begin by identifying symptomatic individuals. However, actively removing pathogen strains causing symptomatic infections may inadvertently select for strains less likely to cause symptomatic infections. Moreover, a pathogen's fitness landscape is structured around a heterogeneous host pool; uneven surveillance efforts and distinct transmission risks across host classes can meaningfully alter selection pressures. Here, we explore this interplay between evolution caused by disease control efforts and the evolutionary consequences of host heterogeneity. Using an evolutionary epidemiology model parameterized for coronaviruses, we show that intense symptoms-driven disease control selects for asymptomatic strains, particularly when these efforts are applied unevenly across host groups. Under these conditions, increasing quarantine efforts have diverging effects. If isolation alone cannot eradicate, intensive quarantine efforts combined with uneven detections of asymptomatic infections (e.g., via neglect of some host classes) can favor the evolution of asymptomatic strains. We further show how, when intervention intensity depends on the prevalence of symptomatic infections, higher removal efforts (and isolating symptomatic cases in particular) more readily select for asymptomatic strains than when these efforts do not depend on prevalence. The selection pressures on pathogens caused by isolation and quarantining likely lie between the extremes of no intervention and thoroughly successful eradication. Thus, analyzing how different public health responses can select for asymptomatic pathogen strains is critical for identifying disease suppression efforts that can effectively manage emerging infectious diseases.
The online version contains supplementary material available at 10.1007/s11071-022-07548-7.
控制包括严重急性呼吸综合征冠状病毒2(SARS-CoV-2)在内的许多传染病,需要进行监测,随后进行隔离、接触者追踪和检疫。这些干预措施通常从识别有症状的个体开始。然而,积极清除导致有症状感染的病原体菌株可能会无意中选择出不太可能导致有症状感染的菌株。此外,病原体的适应度景观是围绕异质宿主库构建的;不同宿主类别之间不均衡的监测努力和不同的传播风险会显著改变选择压力。在这里,我们探讨疾病控制措施引起的进化与宿主异质性的进化后果之间的这种相互作用。使用针对冠状病毒参数化的进化流行病学模型,我们表明,强烈的症状驱动的疾病控制会选择无症状菌株,特别是当这些措施在不同宿主群体中不均衡应用时。在这些情况下,增加检疫措施会产生不同的效果。如果仅靠隔离无法根除,强化检疫措施与对无症状感染的不均衡检测(例如,由于忽视某些宿主类别)相结合,可能有利于无症状菌株的进化。我们进一步表明,当干预强度取决于有症状感染的流行率时,与不依赖流行率的情况相比,更高的清除措施(特别是隔离有症状病例)更容易选择无症状菌株。隔离和检疫对病原体造成的选择压力可能介于不干预和彻底成功根除这两个极端之间。因此,分析不同的公共卫生应对措施如何选择无症状病原体菌株,对于确定能够有效管理新发传染病的疾病抑制措施至关重要。
在线版本包含可在10.1007/s11071-022-07548-7获取的补充材料。