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Rendi Murphree, PhD - PPT Presentation

CDC Epidemic Intelligence Service Officer Tennessee Department of Health Council of State and Territorial Epidemiologists Annual Meeting June 13 2011 Characteristics of Foodborne Disease Outbreak Investigations Conducted by FoodNet Sites 20032008 ID: 313543

etiology foodnet outbreak sites foodnet etiology sites outbreak outbreaks food stool fbdo 2008 2003

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Slide1

Rendi Murphree, PhD

CDC Epidemic Intelligence Service OfficerTennessee Department of HealthCouncil of State and Territorial Epidemiologists Annual MeetingJune 13, 2011

Characteristics of Foodborne Disease Outbreak Investigations Conducted by FoodNet Sites, 2003–2008

Office of Surveillance, Epidemiology, and Laboratory Services

Scientific Education and Professional Development Program Office Slide2

BACKGROUND

FoodNet Outbreak InvestigationsSlide3

Annual Burden of Foodborne Illness and Outbreaks in the United States

Foodborne illnesses (estimated)9.4 million illnesses

1,351 deaths31 major pathogens

Foodborne outbreaks (reported)20,000 illnesses

20 deathsInvestigations identify factors contributing to foodborne illness

Etiology and food vehicle often unknown

Scallan et al.,

Foodborne illness acquired in the United States

, Emerg Infect Dis, 2011, Jan 7(1)7-15

CDC, Foodborne Outbreak Online Database,

http://wwwn.cdc.gov/foodborneoutbreaks

Accessed 28 June 2010. Slide4

Foodborne Disease OutbreakSurveillance Systems

CDC Foodborne Disease Outbreak Surveillance SystemNORS (National Outbreak Reporting System)All statesOutbreak characteristics

Foodborne Disease Active Surveillance Network FoodNet10 states, CDC, FDA and USDA~45 million people; 15% of the U.S. population

Supplemental data on investigation characteristicsSlide5

Foodborne Disease OutbreakSurveillance Systems

CDC Foodborne Disease Outbreak Surveillance SystemNORSAll states

Foodborne Disease Active Surveillance Network FoodNet10 statesSlide6

OBJECTIVES

FoodNet Outbreak InvestigationsSlide7

Study Objectives

Summarize data on FoodNet outbreak investigations

Determine factors associated with identifying an etiology and implicating a food vehicle

Describe barriers to successful investigations

Recommend investigation improvementsSlide8

METHODS

FoodNet Outbreak InvestigationsSlide9

Data Source

FoodNet sitesCT, GA, MD, MN, OR, TN

Counties in CA, CO, NYNM since 2004

2003–2008

Multi-state outbreaks excluded

Combined NORS and FoodNet dataSlide10

Variables

NORS FormInformation on the outbreak

FoodNet Outbreak Supplement Form

Information on the outbreak investigationRecognition and reporting

Investigation designSpecimen testingBarriers impeding the investigationSlide11

Definitions

Foodborne disease outbreak (FBDO) ≥2 cases of a similar illness resulting from the ingestion of a common food

Food vehicle identified

Statistical evidence or laboratory evidence

Etiology confirmedCDC criteria

Odds ratios adjusted for outbreak size

*Olsen, et al., MMWR Surveillance Summary, 2000;49(1):1-62Slide12

RESULTS

FoodNet Outbreak InvestigationsSlide13

FBDOs — FoodNet Sites, 2003–2008

42 multi-state outbreaks excluded

1,200 outbreaks analyzedAnnual mean number = 200 (range 117–253)

18,593 illness caused by 1,111 outbreaks

Mean = 17 per outbreak (range 2–273)Marked variability in outbreak frequency and investigation characteristicsSlide14

FBDO by Year — FoodNet Sites, 2003–2008

N = 1,200Slide15

FBDO Characteristics — FoodNet Sites, 2003–2008

All 10 Sites

Number reported

1,200

Average annual rate per million

4

Confirmed etiology (%)

50

Food vehicle identified (%)

32

Etiology & food vehicle identified (%)

20Slide16

FBDO Characteristics — FoodNet Sites, 2003–2008

All 10 Sites

Range

Number reported

1,200

11–279

Average annual rate per million

4

1–9

Confirmed etiology (%)

50

37–82

Food vehicle identified (%)

32

16–50

Etiology & food vehicle identified (%)

20

7–39Slide17

FBDO Seasonality by Confirmed Etiology — FoodNet Sites, 2003–2008 (n = 715)Slide18

FBDO Seasonality by Confirmed Etiology — FoodNet Sites, 2003–2008 (n = 715)Slide19

FBDO Seasonality by Confirmed Etiology — FoodNet Sites, 2003–2008 (n = 715)Slide20

FBDO Seasonality by Confirmed Etiology — FoodNet Sites, 2003–2008 (n = 715)Slide21

Stool Key to Confirming an Etiology

Stool specimens obtained in 89% of 715 outbreaks with a confirmed etiology vs. 48% of 485 withoutOdds ratio = 9.2 (6.8–12.3)Slide22

Stool obtained in 89% of 715 outbreaks with a confirmed etiology vs. 48% of 485 without

Odds ratio = 9.2 (6.8–12.3)Odds of confirming an etiology did not improve with the collection of

>4 stool specimensOdds ratio = 7.2 (4.9–10.6)

Stool Key to Confirming an EtiologySlide23

Stool obtained in 89% of 715 outbreaks with a confirmed etiology vs. 48% of 485 without

Odds ratio = 9.2 (6.8–12.3)Odds of confirming an etiology did not improve with the collection of

>4 stool specimensOdds ratio = 7.6 (5.3–10.9)

Proportion of outbreaks with a confirmed etiology high, regardless of interval between symptom onset and stool collection

Median 0–3 days (70%), 4–7 days (78%), 8–14 days (69%)

Stool Key to Confirming an EtiologySlide24

Stool obtained in 89% of 715 outbreaks with a confirmed etiology vs. 48% of 485 without

Odds ratio = 9.2 (6.8–12.3)Odds of confirming an etiology did not improve with the collection of

>4 stool specimensOdds ratio = 7.6 (5.3–10.9)

Proportion of outbreaks with a confirmed etiology high, regardless of interval between symptom onset and stool collection

Median 0–3 days (70%), 4–7 days (78%), 8–14 days (69%)

Stool Key to Confirming an EtiologySlide25

FBDO Characteristics by Outbreak Size — FoodNet Sites, 2003–2008Slide26

Keys to Implicating a Food Vehicle

Food vehicle implicated in 47% of 671 outbreaks investigated using a case-control or cohort study vs. 14% of 529 using other methodsOdds ratio = 4.9 (3.6–6.7)Slide27

Keys to Implicating a Food Vehicle

Food vehicle implicated in 47% of 671 outbreaks investigated using a case-control or cohort study vs. 14% of 529 using other methods

Odds ratio = 4.9 (3.6–6.7)

Analytic study conducted in only 20% of outbreaks causing 2–4 illnessesSlide28

Keys to Implicating a Food Vehicle

Food vehicle implicated in 47% of 671 outbreaks investigated using a case-control or cohort study vs. 14% of 529 using other methods

Odds ratio = 4.9 (3.6–6.7)

Analytic study conducted in only 20% of outbreaks causing 2–4 illnesses

Food specimens collected in 91 (36%) of 253 investigations successful in identifying a food vehicleOdds ratio

= 4.9 (3.6–6.7)Slide29

Source of Initial FBDO Recognition —

FoodNet Sites, 2003–2008

Viral

n = 471

Bacterial

n = 246

No.

(%)

No.

(%)

Private citizen

363

(87)

80

(33)

Reportable disease surveillance

11

( 3)

75

(30)

Medical professional report

34

( 8)

43

(17)

DNA match

0

( 0)

33

(13)

Syndromic

surveillance

0

( 0)

3

( 1)

Other

10

( 2)

12

( 5)Slide30

Source of Initial FBDO Recognition —

FoodNet Sites, 2003–2008

Viral

n = 471

Bacterial

n = 246

No.

(%)

No.

(%)

Private citizen

363

(87)

80

(33)

Reportable disease surveillance

11

( 3)

75

(30)

Medical professional report

34

( 8)

43

(17)

DNA match

0

( 0)

33

(13)

Syndromic

surveillance

0

( 0)

3

( 1)

Other

10

( 2)

12

( 5)Slide31

Source of Initial FBDO Recognition —

FoodNet Sites, 2003–2008

Viral

n = 471

Bacterial

n = 246

No.

(%)

No.

(%)

Private citizen

363

(87)

80

(33)

Reportable disease surveillance

11

( 3)

75

(30)

Medical professional report

34

( 8)

43

(17)

DNA match

0

( 0)

33

(13)

Syndromic

surveillance

0

( 0)

3

( 1)

Other

10

( 2)

12

( 5)Slide32

n = 370

Receipt of Initial FBDO Recognition—

FoodNet Sites, 2006–2007Slide33

Settings of FBDO —

FoodNet Sites, 2003–2008Site of food preparation (n = 1,088)

64% restaurant or deli 7% caterer

11% homeSlide34

Preparation Leading to FBDO —

FoodNet Sites, 2008Timing of contamination (n = 129)

74% at the time of preparation or serving26% prior to final preparation

Contaminated food served (n = 184)

86% single establishment or eventSlide35

Agencies Involved in FBDO Investigations — FoodNet Sites, 2003–2008

37% local health departments only

47% local and state agencies

5% local, state and federal agencies

Local health departments not involved in 12%

n = 1,185Slide36

Barriers Affecting FBDO Investigations — FoodNet Sites, 2003–2008

Notification18% delayed notification of local health departments

Cases26% too few cases

24% lack of cooperation from casesControls23% too few controls

10% inability to identify good controls for an analytic studyStool

25% too few stool specimens

n = 655Slide37

DISCUSSION

FoodNet Outbreak InvestigationsSlide38

Overview of Major Findings

FBDOs:Mainly recognized and handled locally

Attributed to exposures outside the home Caused by contamination at time of preparation

Stool specimens key to confirming an etiology

At least 4Stool collection weeks after symptom onset useful

Analytic study best for implicating a food vehicle

Cohort or case-control study

Food specimen collection rare but helpful in bacterial outbreaksSlide39

Study Limitations

Data qualityIncomplete data submitted to CDC

Questions changed over timeSubjective interpretation

No ongoing training for data collectorsSome data not reported by staff directly involved in the outbreak investigation

ResultsMay not be generalizable to non-FoodNet sitesSlide40

Conclusions & Recommendations

Public health agencies must improve investigation of foodborne disease outbreaks

RecommendationsSystematically review complaints from the public

Increase stool specimen collectionHealth departments

Clinicians Consider new methods for identifying and contacting patients and control subjects

Provide training

Conducting epidemiologic studies

Collecting NORS and FoodNet dataSlide41

Acknowledgements

FoodNet Partners10 states

CDC, FDA, USDA

EIS Supervisory TeamTimothy F. Jones

John R. DunnWilliam Schaffner

W. Randolph Daley

Coauthors

Katie Garman

Quyen

Phan

Karen

Everstine

L. Hannah Gould

Timothy F. Jones

Office of Surveillance, Epidemiology, and Laboratory Services

Scientific Education and Professional Development Program Office

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