Infectious disease outbreaks in Denmark

Infectious disease outbreaks in Denmark Infectious Disease Epidemiology Course University of Copenhagen October 29, 2013 Luise Müller, [email protected] Depa...
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Infectious disease outbreaks in Denmark Infectious Disease Epidemiology Course University of Copenhagen October 29, 2013 Luise Müller, [email protected] Department of Infectious Disease Epidemiology, Statens Serum Institut

TODAY

What is an outbreak? Why investigate outbreaks? Who is doing what in the investigation of foodborne outbreaks in Denmark? Methodological steps in an outbreak investigation - Descriptive epidemiology - Analytical epidemiology Exercise: Playing the role of the epidemiologist…

WHAT IS AN OUTBREAK? Occurrence of more cases of a disease than expected - In a specific area - In a specific population - Within a specific time period

WHAT IS AN OUTBREAK? Occurrence of more cases of a disease than expected

- In a specific area - In a specific population - Within a specific time period Outbreak=epidemic Pandemic: an epidemic occurring worldwide, or over a very wide area, crossing international boundaries and usually affecting a large number of people*

*Last J. A dictionary of epidemiology (4th Edition) Oxford University Press 2001

WHY INVESTIGATE OUTBREAKS?

Stop the outbreak Understand what happened and why Prevent future outbreaks Improve our knowledge Improve surveillance and outbreak detection Training It is fun!

WHAT CAUSES FOODBORNE OUTBREAKS IN DENMARK?

2012

INVESTIGATION OF FOODBORNE OUTBREAKS IN DENMARK

Local outbreaks - E.g. restaurant, private party, drinking water

National outbreaks - Cases in two regions or more - International aspect

Responsible institutions - Regional food offices - Medical officer - Local laboratories

Responsible institutions - Statens Serum Institut • Reference laboratory • Department of infectious disease epidemiology - Veterinary and food administration - Food Institute at DTU

INVESTIGATION OF FOODBORNE OUTBREAKS IN DENMARK

Local outbreaks - E.g. restaurant, private party, drinking water

National outbreaks - Cases in two regions or more - International aspect

Responsible institutions - Regional food offices - Medical officer - Local laboratories

Responsible institutions - Statens Serum Institut • Reference laboratory • Department of infectious diseases - Veterinary and food administration - Food Institute at DTU

The Central Outbreak Management Group

TWO WAYS TO LOOK AT OUTBREAKS

The pathogen

 Prove connection between human isolates and the source

The patients

 Prove a statistical association between illness and exposure

STEPS IN AN OUTBREAK INVESTIGATION

1. 2. 3. 4. 5. 6.

7. 8. 9.

Confirm outbreak Confirm diagnosis Make a case definition Identify cases and obtain information Describe data: time, place, person Develop hypothesis Test hypothesis: Analytical studies Implement control measures Communicate results

NATIONAL OUTBREAK OF SALMONELLA STRATHCONA 2011

OUTBREAK SIGNAL SEPTEMBER 23, 2011

SSI laboratory reported 3 cases of Salmonella Strathcona First cases ever found in Denmark Literature search and international inquiry: no outbreaks ever reported No findings in food or animals BUT recent cases in Germany and Austria

STEPS IN AN OUTBREAK INVESTIGATION

1. 2. 3. 4. 5. 6.

7. 8. 9.

Confirm outbreak Confirm diagnosis Make a case definition Identify cases and obtain information Describe data: time, place, person Develop hypothesis Test hypothesis: Analytical studies Implement control measures Communicate results

CASE DEFINITION S. STRATHCONA OUTBREAK

A person with laboratory confirmed Salmonella Strathcona in Denmark from September-October 2011

- Who? - Where? - When?

STEPS IN AN OUTBREAK INVESTIGATION

1. 2. 3. 4. 5. 6.

7. 8. 9.

Confirm outbreak Confirm diagnosis Make a case definition Identify cases and obtain information Describe data: time, place, person Develop hypothesis Test hypothesis: Analytical studies Implement control measures Communicate results

STEPS IN AN OUTBREAK INVESTIGATION

1. 2. 3. 4. 5. 6.

7. 8. 9.

Confirm outbreak Confirm diagnosis Make a case definition Identify cases and obtain information Describe data: time, place, person Develop hypothesis Test hypothesis: Analytical studies Implement control measures Communicate results

EPICURVE Salmonella Strathcona, Oct 13, 2011 Denmark n=16, Germany n=10, Austria=1

Number of cases 5 4 3 2 1

8 28

7 4

JUNE

JULY

1* 8* 3* 26 27 28 29 30 31 1 2

4* 5 1 1* 3 4 5 6

AUGUST 2011 *Obs date of diagnosis

7

10 14 (1) (3) (3) 12 13 10 2 2 9 3 4 5 8 6 7 15 9 11 (9) 18 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 1 2 SEPTEMBER 2011 DK: Lab Conf cases DK: Possible family cases DE: Lab conf cases DE: Family cases A: Lab conf cases

3

OCTOBER 2011

PLACE S. Strathcona, DK cases, October 13, 2011, n=24

PERSON

S. Strathcona Køn og alder n=27 (pr 13/9-2011) 7 6

Antal tilfælde

5 4

Mænd Kvinder

3 2 1 0 1-5

6-10

11-20

21-30

31-40

41-50

Aldersgrupper år

51-60

61-70

71-80

81-85

STEPS IN AN OUTBREAK INVESTIGATION

1. 2. 3. 4. 5. 6.

7. 8. 9.

Confirm outbreak Confirm diagnosis Make a case definition Identify cases and obtain information Describe data: time, place, person Develop hypothesis Test hypothesis: Analytical studies Implement control measures Communicate results

HYPOTHESIS-GENERATING INTERVIEWS 25 long interviews No travel No common events No specific food item Two supermarkets No connection to German/Austrian cases

Dead end…

COMPARATIVE ANALYSES OF PATIENTS’ SHOPPING LISTS

New way of thinking Information from 10 cases - supermarket address - date of shopping - credit card number Collaboration with supermarkets about getting data from their database Very time consuming!

COMPARATIVE ANALYSES OF PATIENTS’ SHOPPING LISTS

Comparison of patients shopping showed that 8/10 had bought the same small elongated tomatoes ”Datterino” By chance?

STEPS IN AN OUTBREAK INVESTIGATION

1. 2. 3. 4. 5. 6.

7. 8. 9.

Confirm outbreak Confirm diagnosis Make a case definition Identify cases and obtain information Describe data: time, place, person Develop hypothesis Test hypothesis: Analytical studies Implement control measures Communicate results

CASE CONTROL INVESTIGATION

25 cases and 56 population register controls Matched on age, gender, municipality

CASE CONTROL INVESTIGATION

Results - Supermarket A OR=16,9 [2,2-130] - Small elongated tomatoes OR=28, 95% CI [2,6-300]

TRACE BACK INVESTIGATION

Time of sale in Supermarket A corresponded to the date of onset for cases Traced back to Italian producer Tomatoes also sold in Germany and Austria Test of tomatoes -> negative - Germany later batches - Italy at the producer

STEPS IN AN OUTBREAK INVESTIGATION

1. 2. 3. 4. 5. 6.

7. 8. 9.

Confirm outbreak Confirm diagnosis Make a case definition Identify cases and obtain information Describe data: time, place, person Develop hypothesis Test hypothesis: Analytical studies Implement control measures Communicate results

CONTROL MEASURES

Tomatoes no longer in the supermarket! Communication

COMMUNICATION Outbreak report International communication SSI.dk Scientific article

LESSONS LEARNED IN THIS OUTBREAK Why investigate outbreaks? Stop the outbreak Understand what happened and why Prevent future outbreaks Improve our knowledge Improve surveillance and outbreak detection Training It is fun!

Not possible Tomatoes a new source in DK Communication New salmonella serotype Credit card investigation Our EPIET students took part in the investigation It was a lot of hard work –but definitely fun

S. STRATHCONA CASES SEP-OCT 2011, N=40 43 Denmark (epicurve) 5 Germany 2 Italy 1 Austria

Number of cases 5 4 3 2 1

33

1 3 4 5

6

7

8

29 12 22 2 3 4 5 8 6 7 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23

SEPTEMBER 2011

14 24 13 10 30 15 9 11 16 20 24 25 26 27 28 29

41 25 17 30

38 35 18 1 2

19 31 26 34 37 21 32 27 3 4 5 6

28 7 8

39 36 42 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 OCTOBER 2011

S. STRATHCONA CASES SEP-OCT 2011, N=42

S. STRATHCONA CASES AGE AND SEX 2011, N=43

CHALLENGES IN OUTBREAK INVESTIGATION Work against time Political/media pressure Don´t have full information when you start (react on small signals) Interviews can be difficult - Food history hard to remember - Selective memory - Very ill/dead people In-depth epidemiological analyses often not possible (quick and dirty) Difficult to find pathogen in the food Hidden ingredients Unequal distribution in the food and difference in susceptibility Multiple sources We don’t always find the source

TAKE HOME MESSAGE Outbreak investigation is an important part of the prevention of infectious diseases Outbreak investigation demands a close cooperation between different institutions Interviews and statistical tools are important components of epidemiological methods It is fun, informative and never predictable

IF YOU WANT TO KNOW MORE… Control of Communicable Diseases Manual. Heyman 2008 Annual report on Zoonoses in Denmark 2012

Vejledning i opklaring af fødevare- og vandbårne udbrud (under revision) Statens Serum Institut www.ssi.dk - Epi-Nyt/Epi-News (weekly bulletin) - Sygdomsleksikon - Overvågning i tal og grafer - Opklaring af fødevarebårne udbrud i DK European Centre for Disease Prevention and Control www.ecdc.europe.eu

- Communicable disease threats report (weekly) - EPIET training - Eurosurvelliance (Rapid communications) World Health Organization www.who.int - Disease outbreak news

SELECTED OUTBREAKS 2011

Botulisme i tofu

Norovirusudbrud Køge sygehus

Salmonella Typhimurium i røget mørbrad

Januar

Februar

Marts

Leptospirose efter skybrud i København

VTECO104 Tyskland

April

Maj

Juni

Juli

August

September

Salmonella Strathcona i tomater

Oktober

November December