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Abstract

Open Access Biostatistics & Bioinformatics

Utilizing P-Scores to Quantify Excess Mortality During the COVID-19 Pandemic

  • Open or CloseAlexander V. Sergeev*

    Department of Social and Public Health, Ohio University, USA

    *Corresponding author:Alexander V. Sergeev, Department of Social and Public Health, Ohio University, W343 Grover Center, Athens, OH, 45701 USA

Submitted: January 23, 2024;Published: February 26, 2024

DOI: 10.31031/OABB.2024.03.000569

ISSN: 2578-0247
Volume3 Issue4

Abstract

Death numbers have been reported since the beginning of the COVID-19 pandemic, but they may not represent the true impact of the pandemic. Excess mortality is a robust metric and a critical indicator of the impact of the COVID-19 pandemic. P-scores provide estimates of excess mortality and have been widely utilized in many COVID-19 studies around the world. P-score analyses have revealed more pandemic-associated deaths than official COVID-19 statistics alone. While a substantial proportion of excess mortality during the COVID-19 pandemic can be directly attributed to the virus infection itself, mortality from major non-infectious chronic diseases substantially contributed to an increase in excess mortality P-scores. Thoughtful considerations of approaches to defining counterfactual mortality are important for ensuring the validity of calculated P-scores.

Keywords: Excess mortality; P-scores; COVID-19

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