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ESTIMATION OF RISK DUE TO LOW DOSES OF MICROORGANISMS: A COMPARISON OF ALTERNATIVE METHODOLOGIES
Abstract
Haas, C. N. (Illinois institute of Technology, Chicago, IL 60616). Estimation of risk due to low doses of microorganisms: a comparison of alternative methodologies. Am J Epidemiol 1983; 118: 573–82. The log-normal, or log-probit, simple exponential and beta distributed effectiveness models were evaluated for their ability to describe experimental dose-response data for human exposure to waterborne bacteria and viruses. Each of the models was capable of describing at least some of the available data; however, the beta-distributed model appeared to be the most widely applicable. When used to extrapolate to extremely low exposure levels, divergent predictions are obtained for each of the three models. On the basis of this analysis, It is impossible to rule out the hypothesis that a single microorganism when ingested has the potential of inducing infection or disease.
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Citations
Cited by
Microbiological Safety of Drinking Water
Szewzyk, U., Szewzyk, R., Manz, W., & Schleifer, K.-H. (2000) · Annual Review of Microbiology · doi:10.1146/annurev.micro.54.1.81 · Cited by 580
Buonanno, G., Morawska, L., & Stabile, L. (2020) · Environment International · doi:10.1016/j.envint.2020.106112 · Cited by 449
“More complex models, such as the Beta-Poisson probability distribution, could take this factor into account (Haas, 1983; Sze To and Chao, 2010; Watanabe et al., 2010); nonetheless, in the present paper the differences in the exposed population in terms of susceptibility to the virus will not be…”
BackgroundMethodAdenaiye, O. O., Lai, J., Bueno de Mesquita, P. J., Hong, F., Youssefi, S., German, J., Tai, S. H. S., Albert, B., Schanz, M., Weston, S., et al. (2022) · Clinical Infectious Diseases · doi:10.1093/cid/ciab797 · Cited by 125
Close proximity risk assessment for SARS-CoV-2 infection
Cortellessa, G., Stabile, L., Arpino, F., Faleiros, D. E., van den Bos, W., Morawska, L., & Buonanno, G. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148749 · Cited by 112
Dowdle, W., Van Der Avoort, H., De Gourville, E., Delpeyroux, F., Desphande, J., Hovi, T., Martin, J., Pallansch, M., Kew, O., & Wolff, C. (2006) · Risk Analysis · doi:10.1111/j.1539-6924.2006.00844.x · Cited by 61
Metadata
- Authors
- HAAS, C. N.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1983-10
- Volume
- 118
- Issue
- 4
- Pages
- 573-582
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W1939131042
- Cited by
- 382
- References
- 0
- FWCI
- 2.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: ESTIMATION OF RISK DUE TO LOW DOSES OF MICROORGANISMS: A COMPARISON OF ALTERNATIVE METHODOLOGIES. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a113662
- The paper
- HAAS, C. N. (1983). ESTIMATION OF RISK DUE TO LOW DOSES OF MICROORGANISMS: A COMPARISON OF ALTERNATIVE METHODOLOGIES. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a113662
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
