epidemic curves sensitivity/specificity

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Epidemic Curves Sensitivity/Specificit y

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Epidemic Curves Sensitivity/Specificity. Epidemic Curve. Number of New Cases. Time (since exposure). Notes on Epidemic Curves. Sort by time to illness Think critically about the data (possible problems) Ask questions (or make assumptions) Similar to Survival Curve (see text, p492). - PowerPoint PPT Presentation

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Page 1: Epidemic Curves Sensitivity/Specificity

Epidemic CurvesSensitivity/Specificity

Page 2: Epidemic Curves Sensitivity/Specificity

Epidemic Curve

Time (since exposure)

Num

ber

of N

ew

Cas

es

Page 3: Epidemic Curves Sensitivity/Specificity

Notes on Epidemic Curves

• Sort by time to illness

• Think critically about the data (possible problems)

• Ask questions (or make assumptions)

• Similar to Survival Curve (see text, p492)

Page 4: Epidemic Curves Sensitivity/Specificity

Survival from AIDS in Mths (p492 in text)

Pt # Surv. Mths

1 2 0.9167

2 3 0.9091

3 6

4 6 0.800

5 7 0.857

6 10

7 15 etc

8 15

9 16

10 27

11 30

12 32

n tq1

0.083312

1

0.090911

Hazard

20.2

10

10.125

8

See Table 21.3 in Text (page 493)

1 n tqSurvival Rate

Page 5: Epidemic Curves Sensitivity/Specificity

Sensitivity/Specificity (p136 in text)

• Used in Screening or diagnostic Tests when there is a ‘gold standard’

• Sensitivity: pr(+| ill)

• Specificity: pr(-| not ill)

• Suppose eating a food item is a ‘test’. If yes, the person should be ill. If no, not ill.

• Use ‘symptoms’ as the ‘gold standard’