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
  • [31] Issues in Microbial Risk Assessment
    Cohen, M.
    Taylor, T. H., Jr.
    Whalen, T.
    PROCEEDINGS OF THE 11TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2008,
  • [32] Causation in risk assessment and management: models, inference, biases, and a microbial risk-benefit case study
    Cox, LA
    Ricci, PF
    ENVIRONMENT INTERNATIONAL, 2005, 31 (03) : 377 - 397
  • [33] Quantitative Microbial Risk Assessment in Occupational Settings Applied to the Airborne Human Adenovirus Infection
    Carducci, Annalaura
    Donzelli, Gabriele
    Cioni, Lorenzo
    Verani, Marco
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2016, 13 (07)
  • [34] Transmission of periodontal bacteria and models of infection
    van Winkelhoff, AJ
    Boutaga, K
    JOURNAL OF CLINICAL PERIODONTOLOGY, 2005, 32 : 16 - 27
  • [35] A review of quantitative microbial risk assessment and consumer process models for Campylobacter in broiler chickens
    Chapman, Brennan
    Otten, Ainsley
    Fazil, Aamir
    Ernst, Natalie
    Smith, Ben A.
    MICROBIAL RISK ANALYSIS, 2016, 2-3 : 3 - 15
  • [36] Quantitative microbial risk assessment models for consumption of raw vegetables irrigated with reclaimed water
    Hamilton, Andrew J.
    Stagnitti, Frank
    Premier, Robert
    Boland, Anne-Maree
    Hale, Glenn
    APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2006, 72 (05) : 3284 - 3290
  • [37] The Visual System Dynamic Model of Engineering Project Risk Assessment Transmission
    Li, Cunbin
    Zhao, Kun
    Li, Feijuan
    Lu, Gongshu
    INTERNATIONAL JOINT CONFERENCE ON APPLIED MATHEMATICS, STATISTICS AND PUBLIC ADMINISTRATION (AMSPA 2014), 2014, : 466 - 473
  • [38] Characterizing the Risk of Infection from Mycobacterium tuberculosis in Commercial Passenger Aircraft Using Quantitative Microbial Risk Assessment
    Jones, Rachael M.
    Masago, Yoshifumi
    Bartrand, Timothy
    Haas, Charles N.
    Nicas, Mark
    Rose, Joan B.
    RISK ANALYSIS, 2009, 29 (03) : 355 - 365
  • [39] Quantitative microbial risk assessment (QMRA) tool for modelling pathogen infection risk to wastewater treatment plant workers
    Heida, Ashley
    Maal-Bared, Rasha
    Veillette, Marc
    Duchaine, Caroline
    Reynolds, Kelly A.
    Ashraf, Ahamed
    Ogunseye, Olusola O.
    Jung, Yoonhee
    Shulman, Lester
    Ikner, Luisa
    Betancourt, Walter
    Hamilton, Kerry A.
    Wilson, Amanda M.
    WATER RESEARCH, 2024, 260
  • [40] Transmission Planning Risk Assessment
    Varadan, S.
    Mittelstadt, W. A.
    Aggarwal, R. K.
    VanZandt, V.
    Silverstein, B.
    2008 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-11, 2008, : 4732 - +