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Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Related Experiment Video

Updated: Apr 4, 2026

A Trap-Vaccinate-Release Protocol for Immunization of Skunks and Additional Rabies Vectors Against Rabies
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DISEASE RISK ANALYSIS--A TOOL FOR POLICY MAKING WHEN EVIDENCE IS LACKING: IMPORT OF RABIES-SUSCEPTIBLE ZOO MAMMALS AS

Matt Hartley, Helen Roberts

    Journal of Zoo and Wildlife Medicine : Official Publication of the American Association of Zoo Veterinarians
    |September 10, 2015
    PubMed
    Summary

    Developing effective disease control policies for zoo animals requires novel approaches due to limited evidence. Qualitative risk analysis offers a method for informed decision-making with incomplete data, crucial for managing infectious disease risks in zoological collections.

    Keywords:
    Evidence-based policy makingimportrabiesrisk assessmentzoo animals

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    Area of Science:

    • Veterinary epidemiology
    • Wildlife health management
    • Zoo animal welfare

    Background:

    • Effective disease control policies depend on robust evidence bases.
    • Zoo animal disease data is frequently incomplete or unavailable.
    • Limited resources hinder comprehensive disease research in zoo species.

    Purpose of the Study:

    • To explore novel methods for disease control policy development in zoo animals.
    • To demonstrate the utility of qualitative risk analysis in evidence-scarce situations.
    • To address decision-making challenges posed by data uncertainty in wildlife health.

    Main Methods:

    • Application of qualitative risk analysis techniques.
    • Utilizing the import of rabies-susceptible zoo mammals into the UK as a case study.
    • Extrapolation of knowledge and management of uncertainty in policy development.

    Main Results:

    • Qualitative risk analysis provides a framework for decision-making despite data limitations.
    • The study successfully models disease risk assessment for imported zoo mammals.
    • Identified key uncertainties and knowledge gaps in managing infectious disease risks.

    Conclusions:

    • Qualitative risk analysis is a valuable tool for informing disease control policy in zoological settings.
    • Novel approaches are essential for managing disease risks with incomplete evidence.
    • This methodology can enhance the safety of importing susceptible zoo animals.