Journal article
Microbial dose response modeling: past, present, and future
Environmental science & technology, v 49(3), pp 1245-1259
03 Feb 2015
PMID: 25545032
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The understanding of the risk to humans from exposure to pathogens has been firmly put into a risk assessment framework. A key element of applying this approach is the understanding of the relationship between dose and response for particular pathogens. This understanding has progressed from early use of threshold concepts ("minimal infectious dose") thru multiple generations of models. Generation 1 models describe probability of response to exposed dose. Generation 2 models incorporate host factors (e.g., age) and/or pathogen factors (e.g., particle size of inhaled agents). Generation 3 models describe the rate at which effects develop, i.e. the epidemic curve. These (generation 1 through three models) have been developed and used in multiple contexts. Beyond Generation 3 lies an opportunity for the deep incorporation of in vivo physiological responses and the coupling of the individual host dynamics to the dynamics of spread of contagious diseases in the population. This would enable more direct extrapolation from controlled dosing studies to estimate population level effects. There remain also needs to understand broader categories of infectious agents, including pathogenic amoebae and fungi. More advanced models need to be validated against well-characterized human outbreak data.
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Details
- Title
- Microbial dose response modeling: past, present, and future
- Creators
- Charles N Haas - Drexel University
- Publication Details
- Environmental science & technology, v 49(3), pp 1245-1259
- Publisher
- American Chemical Society; Washington, DC
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000349060300004
- Scopus ID
- 2-s2.0-84964200261
- Other Identifier
- 991019168848204721
UN Sustainable Development Goals (SDGs)
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- Web of Science research areas
- Engineering, Environmental
- Environmental Sciences