Infection transmission system models for microbial risk assessment

被引:25
|
作者
Chick, SE
Koopman, JS
Soorapanth, S
Brown, ME
机构
[1] Univ Michigan, Dept Ind & Operat Engn, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Epidemiol, Ann Arbor, MI 48109 USA
[3] US EPA, Natl Ctr Environm Assessment, Cincinnati, OH 45268 USA
关键词
microbial risk; infection transmission system; epidemic model; population risk;
D O I
10.1016/S0048-9697(01)00749-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Chemical risk assessments often focus on measuring exposure as if individuals were subject only to exogenous environmental sources of risk. For infectious diseases, exposure might not only depend on exogenous sources of microbes, but also on the infection status of other individuals in the population. For example, waterborne infections from agents such as Cryptosporidium parvum and Escherichia coli: O157:H7 might be transmitted from contaminated water to humans through drinking water; from interpersonal contact; or from infected individuals to the environment, and back to other susceptible individuals. These multiple pathways and the dependency of exposure on the prevalence of infection in a population suggest that epidemiological models are required to complement standard risk assessments in order to quantify the risk of infection. This paper presents new models of infection transmission systems that are being developed for the US Environmental Protection Agency as part of a project to quantify the risk of microbial infection. The models are designed to help inform water treatment system design decisions. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:197 / 207
页数:11
相关论文
共 50 条
  • [21] Dynamic security risk assessment and optimization of power transmission system
    Yu YiXin
    Wang DongTao
    SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 2008, 51 (06): : 713 - 723
  • [22] Hierarchical load shedding model for transmission system risk assessment
    Zhang K.
    Wang Z.
    Du Z.
    Li H.
    Yang H.
    Tang A.
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2021, 49 (12): : 65 - 70
  • [23] Research on risk assessment of power system parallel transmission section
    Ni, Hong-Kun
    Xu, Yu-Qin
    Wang, Li-Jing
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2012, 40 (09): : 93 - 96
  • [24] Quantitative microbial risk assessment: review of three models about Salmonella in foodstuffs
    Delhalle, L.
    Saegerman, C.
    Farnir, F.
    Korsak, N.
    Daube, G.
    ANNALES DE MEDECINE VETERINAIRE, 2008, 152 (02) : 116 - 128
  • [25] Quantitative Microbial Risk Assessment and Infectious Disease Transmission Modeling of Waterborne Enteric Pathogens
    Brouwer, Andrew F.
    Masters, Nina B.
    Eisenberg, Joseph N. S.
    CURRENT ENVIRONMENTAL HEALTH REPORTS, 2018, 5 (02) : 293 - 304
  • [26] Quantitative Microbial Risk Assessment and Infectious Disease Transmission Modeling of Waterborne Enteric Pathogens
    Andrew F. Brouwer
    Nina B. Masters
    Joseph N. S. Eisenberg
    Current Environmental Health Reports, 2018, 5 : 293 - 304
  • [27] Microbial risk assessment for recreational use of the Chicago Area Waterway System
    Rijal, G.
    Tolson, J. K.
    Petropoulou, C.
    Granato, T. C.
    Glymph, A.
    Gerba, C.
    Deflaun, M. F.
    O'Connor, C.
    Kollias, L.
    Lanyon, R.
    JOURNAL OF WATER AND HEALTH, 2011, 9 (01) : 169 - 186
  • [28] Propofol and the risk of transmission of infection
    Trépanier, CA
    Lessard, MR
    CANADIAN JOURNAL OF ANAESTHESIA-JOURNAL CANADIEN D ANESTHESIE, 2003, 50 (06): : 533 - +
  • [29] Quantitative microbial risk assessment of repairs of the drinking water distribution system
    Blokker, Mirjam
    Smeets, Patrick
    Medema, Gertjan
    MICROBIAL RISK ANALYSIS, 2018, 8 : 22 - 31
  • [30] Quantitative microbial risk assessment
    Berg, G
    RISK ANALYSIS, 2001, 21 (05) : 979 - 980