首页> 外文期刊>Mathematical medicine and Biology: a journal of the IMA >A mathematical model for assessing the effectiveness of protective devices in reducing risk of infection by inhalable droplets
【24h】

A mathematical model for assessing the effectiveness of protective devices in reducing risk of infection by inhalable droplets

机译:一种数学模型,用于评估防护装置减少可吸入液滴感染风险的数学模型

获取原文
获取原文并翻译 | 示例
       

摘要

Respiratory protective devices (RPDs) are critical for reducing the spread of infection via inhalable droplets. In determining the type of RPD to deploy, it is important to know the reduction in the infection rate that the RPD enables for the given pathogen and population. This paper extends a previously developed susceptible-infected-recovered (SIR) epidemic model to analyse the effect of a protection strategy. An approximate solution to the modified SIR equations, which compares well with a full numerical solution to the equations, was used to derive a simple threshold equation for predicting when growth of the infected population will occur for a given protection strategy. The threshold equation is cast in terms of a generalized reproduction number, which contains the characteristics of the RPDs deployed by the susceptible and infected populations, as well as the degree of compliance in wearing the equipment by both populations. An example calculation showed that with 50% of the susceptible population deploying RPDs that transmit 15% of pathogens, and an unprotected infected population, an otherwise growing infection rate can be converted to one that decays. When the infected population deploys RPDs, the transmission rate for the RPDs worn by the susceptible population can be higher.
机译:呼吸保护装置(RPD)对于减少可吸入液滴来减少感染的传播至关重要。在确定要部署的RPD的类型时,重要的是要知道RPD为给定病原体和人口能够降低感染率。本文扩展了先前显影的敏感感染回收(SIR)疫情模型,以分析保护策略的效果。对改进的SIR方程的近似解决方案,其与等式的完全数值溶液相比,用于推导出简单的阈值方程,以预测感染群体的生长,以便对给定的保护策略发生。阈值方程在广义再现号方面铸造,其包含由易感和受感染的人群部署的RPD的特征,以及通过两个人群佩戴设备的符合性程度。一个示例性计算显示,50%的易感群体部署转向15%的病原体和未受保护的感染群体的敏感性群体,可以将其它生长的感染率转化为衰变的遗传率。当感染的人口部署RPD时,易感群体佩戴的RPD的传输速率可能更高。

著录项

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