首页> 外文期刊>Science Advances >Co-infections determine patterns of mortality in a population exposed to parasite infection
【24h】

Co-infections determine patterns of mortality in a population exposed to parasite infection

机译:合并感染决定了暴露于寄生虫感染人群的死亡率

获取原文
获取外文期刊封面目录资料

摘要

Many individual hosts are infected with multiple parasite species, and this may increase or decrease the pathogenicity of the infections. This phenomenon is termed heterologous reactivity and is potentially an important determinant of both patterns of morbidity and mortality and of the impact of disease control measures at the population level. Using infections with Theileria parva (a tick-borne protozoan, related to Plasmodium) in indigenous African cattle [where it causes East Coast fever (ECF)] as a model system, we obtain the first quantitative estimate of the effects of heterologous reactivity for any parasitic disease. In individual calves, concurrent co-infection with less pathogenic species of Theileria resulted in an 89% reduction in mortality associated with T. parva infection. Across our study population, this corresponds to a net reduction in mortality due to ECF of greater than 40%. Using a mathematical model, we demonstrate that this degree of heterologous protection provides a unifying explanation for apparently disparate epidemiological patterns: variable disease-induced mortality rates, age-mortality profiles, weak correlations between the incidence of infection and disease (known as endemic stability), and poor efficacy of interventions that reduce exposure to multiple parasite species. These findings can be generalized to many other infectious diseases, including human malaria, and illustrate how co-infections can play a key role in determining population-level patterns of morbidity and mortality due to parasite infections.
机译:许多个体宿主感染了多种寄生物,这可能增加或降低感染的致病性。这种现象被称为异源反应,并且可能是发病率和死亡率模式以及疾病控制措施对人群水平的影响的重要决定因素。以非洲原住民牛(引起东海岸热(ECF)的地方)的Theileria parva(由tick传播的原生动物,与疟原虫相关)感染为模型系统,我们获得了对任何异源反应性影响的第一个定量估计寄生虫病。在个体小牛中,同时伴有Theileria病原体较少的共同感染导致与T. parva感染相关的死亡率降低了89%。在我们的研究人群中,这相当于因ECF导致的死亡率净降低超过40%。使用数学模型,我们证明了这种程度的异源保护为明显不同的流行病学模式提供了统一的解释:各种疾病引起的死亡率,年龄死亡率分布,感染与疾病发生率之间的弱相关性(称为地方性稳定性) ,以及减少接触多种寄生虫物种的干预措施效果不佳。这些发现可以推广到包括人类疟疾在内的许多其他传染病,并说明合并感染如何在确定由寄生虫感染引起的人群发病率和死亡率的模式方面起关键作用。

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号