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An axiomatic approach towards pandemic performance indicators
Ricardo Martínez1, Juan D Moreno-Ternero2
1Universidad de Granada, Spain.
Economic Modelling
|August 12, 2022
Summary
This study introduces a pandemic performance indicator based on weighted averages of incidence, morbidity, and mortality rates. This new metric helps evaluate and compare the impact of COVID-19 across different countries.
Area of Science:
- Epidemiology
- Public Health Metrics
- Biostatistics
Background:
- Pandemics necessitate objective measures of national performance.
- Existing metrics may not fully capture the multifaceted impact of disease outbreaks.
- A standardized indicator is crucial for international comparison.
Purpose of the Study:
- To develop a novel pandemic performance indicator.
- To characterize a family of indicators using four axioms.
- To assess the impact of COVID-19 in major global countries.
Main Methods:
- Defined a status matrix for pandemic data (cases, hospitalizations, deaths).
- Formulated a pandemic performance indicator as a real-valued mapping.
- Utilized four axioms to characterize indicators based on weighted averages.
- Applied the indicator to evaluate COVID-19 impact in various countries.
Main Results:
- Characterized a family of pandemic performance indicators.
- Demonstrated that indicators are weighted averages of incidence, morbidity, and mortality rates.
- Provided a quantitative method for comparing pandemic impact across nations.
Conclusions:
- The proposed indicator offers a robust framework for pandemic performance evaluation.
- Weighted averages of key rates provide a scientifically sound basis for the indicator.
- The indicator facilitates comparative analysis of national responses to COVID-19.
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