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Epi Tools Everyone Can Use Emily Mosites, MPH Alice Green, DVM Katie Garman, MPH.

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Presentation on theme: "Epi Tools Everyone Can Use Emily Mosites, MPH Alice Green, DVM Katie Garman, MPH."— Presentation transcript:

1 Epi Tools Everyone Can Use Emily Mosites, MPH Alice Green, DVM Katie Garman, MPH

2 Objectives Review concepts from regional outbreak training –Line list –Resources for outbreaks Demonstrate use of statistical software to develop –Epi-curve –Symptom profile –2x2 tables (OR, RR) Data management/ analysis tips

3 Regional Outbreak Training Objectives Provide Regional Health Departments with tools to investigate clusters and outbreaks Today: foodborne diseases –Concepts are generalizable Promote collaboration and understanding between epidemiologists/CEDS staff, environmentalists, and laboratorians –Epi-Ready model

4 The Stool Foodborne illness investigations Lab Epidemiology Environmental

5 Lab Epidemiology Environmental Epi Tools

6 Tools Many tools you can use Todays focus –Excel –SAS –EpiInfo

7 Compile a Line list: Excel

8 Data Entry Tips Blank does not equal No Single-word variable name Use 1= yes & 0= no OR 1=yes & 3=no –Proper alignment to calculate RR

9 Analysis in Excel

10 Why Excel? If you dont want to start having dreams in SAS code If you have never heard of EpiInfo If you find yourself doing analysis in the middle of the woods with only Microsoft ® Office USE EXCEL!!!

11 Overview Summarizing Data with PivotTables RR, OR, and Chi Squares Test Page Incubation period and EpiCurve We will send you an excel workbook with these formulas and explanations!

12 Why use SAS in an outbreak investigation? Its powerful Fishers exact Easy to screen large numbers of variables Its subsidized by CDC Its fun!! Embrace your dorkiness










22 Fishers Exact Test


24 Meal Date (exposure)

25 Illness Onset Date

26 End Illness Date

27 Why use Epi-Info (Version 3.5.1) –Easy Point and click Rapid questionnaire development Simple commands –Accessible available anywhere at anytime at –FREE


29 Click on analyze data

30 Click on Read (Import)

31 Select the correct data format Find your file

32 Make sure all of your records have been imported

33 Start looking at your data

34 Select Select your variable Type =1 to select those who were sick

35 List Select your variable Sick = 1 is selected To unselect click on cancel select

36 Create symptom profile using frequency command

37 Frequencies Select your variables Stratify by sick

38 Symptom Profile

39 Develop an epi curve using the graph command

40 Graph Select Bar Choose onset date


42 Calculating relative risk or odds ratio using the tables command

43 Remember… In order to calculate RR –1= yes –3= no 0 well 1 ill BBQ1520 No BBQ 205 RR= 15/(15+20) = /(20+5) 1 ill 3 well BBQ2015 No BBQ 520 RR= 20/(20+15) = /(5+20)

44 Add outcome variable Add exposure variable

45 BBQ Chicken

46 Sweet Tea

47 Resources for Outbreaks

48 Sample databases Modifiable gastrointestinal outbreak questionnaires

49 Thank you! Connie Robinson and staff Rand Carpenter John Dunn

50 Questions Emily: Alice: Katie:

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