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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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Dynamic Monitoring of Seroconversion using a Multianalyte Immunobead Assay for Covid-19
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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
PubMed
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.

Keywords:
AxiomsDeathsHospitalizationsIncidencePandemic

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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.