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An Introduction to Epidemiology pt 01  Dr Alex Keenan, Epidemiology and Surveillance Analyst, Cheshire & Merseyside HPU 27 th  April 2010
Learning Outcomes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Aims of Session 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Definitions of Epidemiology ,[object Object],[object Object]
Surveillance ,[object Object]
Surveillance – functions  WHO recommended surveillance standards, Second edition http://www.who.int/csr/resources/publications/surveillance/WHO_CDS_CSR_ISR_99_2_EN/en/ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Case definition Agreed system/process A means to follow up cases Effective (secure) storage and skills to analyse Political will to act – perceived importance Requires…
Surveillance Systems Database Policy makers PCTs / LAs / SHAs Health Practitioners Dissemination Laboratory / clinic Data Analysis Specialist Laboratory Supplementary data
Data Quality ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Weekly Surveillance Data
Campylobacter – Weekly Surveillance (1)
Campylobacter – Weekly Surveillance (2)
Data Interpretation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Campylobacter – Weekly Surveillance (3)
Temporal Distribution
Measles – Outbreak (1)
Measles – Outbreak (2)
Exercise (1) - ~15 mins ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Exercise (2) ~ 15 mins ,[object Object],[object Object],[object Object],[object Object],[object Object]
Hospital Utilisation Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
General Practice Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NHS Direct ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other sources of Routine Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Routine Environmental Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Congenital Abnormalities ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Merseyside and Cheshire Congenital Anomaly Survey ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object]
Session 02 ,[object Object]
Aims of Session 2 ,[object Object],[object Object],[object Object]
What is an outbreak? ,[object Object],[object Object],[object Object]
How do clusters arise? ,[object Object],[object Object],[object Object]
Clusters can be… In Time e.g. cases of legionella In Place   e.g. meningococcal cases in same school class  In Person e.g. cases of breast cancer in a family The term cluster denotes the suspicion of an increased frequency of some event occurring, not that any increase has been demonstrated
How do outbreaks come to light?  ,[object Object],[object Object],[object Object],[object Object]
Types of outbreak ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Figure.  Measles cases by date of onset of rash. Region of Madrid, March 2006. (Cases reported until 16th March, 2006)                                                                                                                                                                   Example of propagated outbreak (see www.eurosurveillance.org/ew/2006/060330.asp)
Example of Point Source Outbreak
Why investigate outbreaks? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
How to use epidemiology in outbreaks ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Examples of Types of Outbreak Investigation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Risk Factors – some examples ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Odds Ratios (I) ,[object Object],[object Object],Ate / Exposed Didn’t Eat / Not Exposed Ill / Disease a b Not ill / No Disease c d
Odds Ratios Example ,[object Object],[object Object],Egg Salad Ate  Didn’t Eat  Ill  8 1 Not ill  1 4
Exercise (3) ~ 30 mins ,[object Object],[object Object],[object Object],[object Object],[object Object]
Outbreak at an event in Liverpool July 2009 ,[object Object],[object Object],[object Object],[object Object],[object Object]
Investigation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Epidemiological Curve
Risk Factors Identified ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Single Variable Analysis <0.01 6.45 – 32.47 15.70 Rice <0.01 6.99 – 31.84 15.40 Chicken Curry <0.01 1.99 – 7.22 3.61 Vegetable Samosa <0.01 3.12 – 12.56 6.21 Beef Cutlet <0.01 2.80 – 10.52 6.05 Chicken Lollipop <0.01 2.60 – 9.77 4.87 Spring Roll 0.34 0.71 – 2.67 1.30 Sex 0.056 0.99 – 1.04 1.02 Age p – value Confidence Interval Odds Ratio
Further Analysis ,[object Object],[object Object],[object Object]
Multivariate Analysis <0.0001 4.34 – 36.88 12.63 Rice 0.003 1.54 – 8.51 3.63 Chicken Curry p- value Confidence Interval Odds Ratio
Summary of Epidemiological Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A Selection of Useful Reference Books ,[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object]

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Introduction to Epidemiology and Surveillance

  • 1. An Introduction to Epidemiology pt 01 Dr Alex Keenan, Epidemiology and Surveillance Analyst, Cheshire & Merseyside HPU 27 th April 2010
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Surveillance Systems Database Policy makers PCTs / LAs / SHAs Health Practitioners Dissemination Laboratory / clinic Data Analysis Specialist Laboratory Supplementary data
  • 8.
  • 10. Campylobacter – Weekly Surveillance (1)
  • 11. Campylobacter – Weekly Surveillance (2)
  • 12.
  • 13. Campylobacter – Weekly Surveillance (3)
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31. Clusters can be… In Time e.g. cases of legionella In Place e.g. meningococcal cases in same school class In Person e.g. cases of breast cancer in a family The term cluster denotes the suspicion of an increased frequency of some event occurring, not that any increase has been demonstrated
  • 32.
  • 33.
  • 34. Figure. Measles cases by date of onset of rash. Region of Madrid, March 2006. (Cases reported until 16th March, 2006)                                                                                                                                                                 Example of propagated outbreak (see www.eurosurveillance.org/ew/2006/060330.asp)
  • 35. Example of Point Source Outbreak
  • 36.
  • 37.
  • 38.
  • 39.
  • 40.
  • 41.
  • 42.
  • 43.
  • 44.
  • 46.
  • 47. Single Variable Analysis <0.01 6.45 – 32.47 15.70 Rice <0.01 6.99 – 31.84 15.40 Chicken Curry <0.01 1.99 – 7.22 3.61 Vegetable Samosa <0.01 3.12 – 12.56 6.21 Beef Cutlet <0.01 2.80 – 10.52 6.05 Chicken Lollipop <0.01 2.60 – 9.77 4.87 Spring Roll 0.34 0.71 – 2.67 1.30 Sex 0.056 0.99 – 1.04 1.02 Age p – value Confidence Interval Odds Ratio
  • 48.
  • 49. Multivariate Analysis <0.0001 4.34 – 36.88 12.63 Rice 0.003 1.54 – 8.51 3.63 Chicken Curry p- value Confidence Interval Odds Ratio
  • 50.
  • 51.
  • 52.