OVERVIEW
1. Getting started
With time, I hope you will find this web site to be helpful. However, I also know that technology can sometimes turn on us! With that in mind, please consider the following common sense recommendations:
1. When all else fails, contact me! You can contact me:
- by phone (818-677-4708),
- by fax (818-677-2045),
- by email,
- during office hours, or
- in class.
2. Don't forget the other traditional sources:
- Consult the syllabus.
- Consult the textbook.
- Talk with your classmates.
3. For a list of county libraries with internet access, press here.
5. Course Description
Instructor: Thomas H. Hatfield, R.E.H.S., Dr.P.H. Office Hours: MTW 12:15-1:15 (Eng. Room 2101-H) Phone: Office: 818-677-4708 FAX: 818-677-2045 Internet: THOMAS.HATFIELD@CSUN.EDU Objectives: Upon completion of the course, the student should be able to: 1. Differentiate risk assessment, risk perceptions, risk communication and risk management. 2. Define five major types of error in risk analysis. 3. Describe four fundamental steps of risk assessment. 4. Distinguish between rating models, analytical models, and numerical models of risk assessment, and select an appropriate model for a given situation. 5. Explain and measure multi-media transfer. 6. Define single-hit, multi-hit, multi-stage, and other models of dose-response used in risk assessment. 7. Differentiate event-tree and fault-tree techniques. 8. Discuss biases in risk evaluation. 9. Distinguish four major models for decision making under uncertainty. 10.Define and clarify expert roles in risk analysis. 11.Discuss ethical models of risk distribution.6. Textbook / Terms:
My textbook was published by the National Environmental Health Association in July of 2002. It ultimately takes the place of the modules that were used previously on this web site. All references on this web site to chapters, exams, etc. are based on this textbook.
1. Terms #1
2. Terms #2
1
risk
47
toxicological issues
2
"de minimus non curat lex"
48
risk group, experimental group
3
risk analysis
49
test group, control group
4
risk assessment
50
nonzero threshold toxicants
5
risk communication
51
zero threshold toxicants
6
risk management
52
NOEL, NOAEL, LOAEL
7
mathematical issues
53
experimental dose range
8
risk vs. uncertainty
54
pharmacokinetic based modeling
9
statistical error (types 1-5)
55
exposure
10
integrals, derivatives
56
micro-environments
11
ln x, (exp)x
57
direct measurement of exposure
12
accuracy vs. precision
58
exposure scenario
13
risk assessment
59
predictive exposure assessment
14
Hazard identification
60
reconstructive exposure assessment
15
Dose-response assessment
61
dose
16
Exposure assessment
62
delivered dose
17
Risk characterization
63
absorbed dose
18
risk assessment models
64
administered dose
19
rating models
65
applied dose
20
analytical models
66
intake, uptake
21
numerical models
67
retention, organ burden
22
air dispersion models
68
integral organ burden
23
UNAMAP, Gaussian plume models
69
biologically significant dose
24
rollback models
70
bioassays of chemical carcinogens
25
regional trajectory models
71
Ames test
26
box and multibox models
72
classification of:
27
grid models, physical models
73
carcinogens
28
Eulerian, Lagrangian
74
Tolerance distribution models
29
PTPLU
75
logit
30
stability classes, mixing height
76
probit
31
buoyancy induced dispersion
77
Weibull model
32
gradual plume rise
78
hit target models
33
anemometer, receptor
79
Single hit
34
stack downwash
80
Multihit
35
surface water models
81
Multistage
36
groundwater models
82
model free approaches
37
partitioning
83
linear model
38
Henry's law
84
databases
39
Octanol
85
TOXNET
40
epidemiologic issues
86
IRIS
41
retrospective, prospective studies
87
IARC
42
incidence, prevalence
88
NTP
43
standard mortality ratio (SMR)
44
proportionate mortality ratio (PMR)
45
relative risk
46
attributable risk
1
tools
35
measures of risk -- deaths per:
2
descriptive statistics
36
lifetime vs. day
3
Boolean algebra
37
people vs. people near facility
4
event trees
38
pollutant released vs. absorbed
5
initiating event
39
ton of chemical vs. dollars profit
6
accident sequence
40
facility vs. corporation
7
fault trees
41
suggestions for
8
uncertainties
42
risk communication problems
9
completeness
43
decision trees
10
modeling
44
Pessimist's decision model
11
heuristics
45
Optimist's decision model
12
representativeness
46
Minimization of regret model
13
availability
47
Maximization of average payoff
14
anchoring
48
ethical models of risk
15
framing
49
Utilitarian
16
biases
50
Egalitarian
17
overconfidence
51
Elitist
18
conjunction fallacy
52
Libertarian
19
hindsight bias
53
economic models of risk
20
tradeoffs with money
54
Willingness to pay
21
de minimus
55
Equitable allocation
22
risk communication problems
56
Human capital
23
"Noise"
57
consumerism
24
message problems
58
risk management options
25
source problems
59
advisory
26
channel problems
60
technological
27
receiver problems
61
economic
28
risk communication objectives
62
regulatory
29
information
63
trans-scientific
30
behavioral change
31
emergency response
32
negotiation
33
risk comparisons
34
5 categories