Contributing to a OneMedicine Approach: CrossSpecies Disease Surveillance

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Contributing to a One-Medicine Approach
Cross-Species Disease Surveillance

• Loren Shaffer, MPH
• AAVMC/ASPH Joint Symposium
• Atlanta, Georgia
• April 24, 2007

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Introduction
68 of known infectious diseases are caused by
zoonotic pathogens.
Outbreak detection dependant on identification
of human cases.
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Introduction

• Pre-diagnostic
• Signature Patterns
• Health Indicators
• Symptoms/signs
• Behaviors
• Diagnostic procedures

• Automated Surveillance Detection
• Data
• Chief complaints
• Sales of OTC medications
• Laboratory orders

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Counts of grouped orders
Outbreak Alert
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(No Transcript)
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8 cases EXHX01.0015OH
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Representation of Species
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Representation of Human Households
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Pilot Prospective System

• 90-day study
• All specimens received by IDEXX from Ohio
• Transmitted daily to server
• Orders mapped to category
• Automatic analysis by county to identify counts
  greater than expected.
• Alerts generated via e-mail

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Alerts

• 9 Alert Periods
• Counts ranged from 8 to 43
• 3 (33.3) No cause determined
• 2 (22.2) Possibly related to breeding operations
• 2 (22.2) Possibly related to provider interest
• 2 (22.2) Related to

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Incidents of Verified Disease

• Alert 1
• September 11, 2006
• Gastrointestinal category
• All outdoor animals
• Movement of rodents from recently harvested
  fields
• Alert 2
• September 4, 2006
• Gastrointestinal category
• Telephone notification by private veterinarian to
  public health veterinarian on September 26
• Local public health announcement on October 4

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Conclusions

• Disease events can occur in humans and animals at
  the same time or in relation to one another.
• Data from IDEXX consists mainly of companion
  animal species.
• These veterinary-based data represent at least
  6.6 of the human households in Ohio (probably
  more).
• Surveillance using laboratory orders can provide
  notice of disease events in both animal and human
  populations.
• Lead may be as much as 21 days compared to
  traditional reporting methods.

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Questions

• Loren Shaffer
• shaffer.45_at_osu.edu