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The Data set for Patient Information Based Algorithm to Predict Mortality Cause by COVID-19.

Jing Li1, Lishi Wang1,2, Sumin Guo3

  • 1Department of Orthopedic Surgery and BME-Campbell Clinic, University of Tennessee Health Science Center, Memphis, Tennessee, 38163, USA.

Data in Brief
|April 28, 2020
PubMed
Summary
This summary is machine-generated.

A new Patient Information Based Algorithm (PIBA) estimates COVID-19 death rates in real-time using daily case data. This method analyzes patient information patterns to provide accurate, dynamic mortality rate calculations.

Keywords:
COVID-19CoronavirusDeath RateEstimationNormal distributionPIBAPrediction

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Area of Science:

  • Epidemiology
  • Public Health
  • Data Science

Background:

  • The COVID-19 pandemic necessitated accurate real-time monitoring of disease spread and mortality.
  • Estimating the true death rate of emerging infectious diseases like COVID-19 presents significant challenges due to data lags and reporting variations.

Purpose of the Study:

  • To introduce and validate a novel algorithm, the Patient Information Based Algorithm (PIBA), for real-time estimation of COVID-19 death rates.
  • To apply PIBA using early outbreak data from China and South Korea to assess its effectiveness.

Main Methods:

  • Collected daily COVID-19 confirmed cases and death data from official sources in China and South Korea.
  • Adapted the Patient Information Based Algorithm (PIBA), assuming patient-to-death durations follow a normal distribution.
  • Calculated real-time death rates by weighting individual rates based on lagging days and their probabilities, validated against current case fatality ratios.

Main Results:

  • The PIBA methodology was illustrated with six tables using data from China and South Korea.
  • The study presented a figure showing estimated infection rates, serious patient conditions, and retrospective estimation of COVID-19's initial occurrence.
  • The PIBA method demonstrated a viable approach for estimating dynamic COVID-19 death rates.

Conclusions:

  • The Patient Information Based Algorithm (PIBA) provides a robust method for real-time COVID-19 death rate estimation.
  • PIBA's adaptability to early outbreak data from China and South Korea highlights its potential utility in public health surveillance.
  • Further application of PIBA can aid in understanding disease dynamics and informing public health interventions.