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Vaccinations

Vaccinations

Steps in Outbreak Investigation

Steps in Outbreak Investigation

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:

Principles of Disease Surveillance

Principles of Disease Surveillance

Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...

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Updated: Jun 27, 2025

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice

Evaluation of Host-Pathogen Responses and Vaccine Efficacy in Mice

Published on: February 22, 2019

A Framework for Assessing the Impact of Outbreak Response Immunization Programs.

Dominic Delport^1,2, Ben Sanderson¹, Rachel Sacks-Davis^1,2,3

¹Burnet Institute, Melbourne, VIC 3004, Australia.

Diseases (Basel, Switzerland)

|April 26, 2024

Summary

This summary is machine-generated.

This study presents a framework to evaluate the impact of outbreak response immunization (ORI) using mathematical models. It ensures analyses are fit-for-purpose, utilizing available data and stakeholder input for effective vaccine-preventable disease control.

Keywords:

Ebola economic full value of vaccine assessment impact infectious diseases measles modelling outbreak response immunization vaccine preventable diseases value

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Area of Science:

Epidemiology and Public Health
Mathematical Modeling
Health Economics

Background:

Estimating the impact of outbreak response immunization (ORI) requires comparing real-world outcomes to hypothetical scenarios without intervention.
Selecting appropriate metrics for ORI impact assessment is crucial and depends on stakeholder needs and data availability.

Purpose of the Study:

To develop a systematic framework for utilizing mathematical models to assess the impact of ORI for vaccine-preventable diseases.
To ensure ORI impact assessments are fit-for-purpose, data-driven, and stakeholder-aligned.

Main Methods:

Framework development involved stakeholder interviews, literature reviews, and mapping ORI investments to model parameters.
Defined scenarios based on response scale, speed, and vaccine targeting.
Established a four-phase process: problem framing, model selection, implementation, and interpretation/communication.

Main Results:

Identified key impact metrics: health outcomes, economic impacts, and severe outbreak risk.
Demonstrated framework application using measles (Papua New Guinea) and Ebola (Democratic Republic of Congo) outbreak data.
Highlighted the importance of stakeholder engagement for relevant and actionable model outputs.

Conclusions:

The developed framework provides a systematic approach to evaluating ORI impact.
It ensures ORI analyses are tailored to specific needs, leverage available data, and employ appropriate modeling techniques.
Facilitates better decision-making in public health interventions for vaccine-preventable diseases.