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Updated: Sep 2, 2025

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epidWaves: A code for fitting multi-wave epidemic models.

Americo Cunha1, Fernando da Conceição Batista2, Paulo Roberto de Lima Gianfelice3

  • 1Rio de Janeiro State University, Rio de Janeiro, Brazil.

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|August 1, 2022
PubMed
Summary
This summary is machine-generated.

The COVID-19 pandemic necessitates accurate short-term epidemic forecasting. The new epidWaves package offers a framework for fitting multi-wave epidemic models to infectious disease outbreak data.

Keywords:
Epidemic modelsMathematical epidemiologyModel calibrationModel fitting

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Area of Science:

  • Epidemiology
  • Computational Biology
  • Infectious Disease Modeling

Background:

  • The COVID-19 pandemic highlighted the need for effective epidemic forecasting tools.
  • Accurate short-term prediction of infectious disease outbreaks is crucial for public health responses.

Purpose of the Study:

  • To introduce epidWaves, a novel computational package.
  • To provide a flexible framework for fitting multi-wave epidemic models to real-world outbreak data.

Main Methods:

  • Development of the epidWaves software package.
  • Application of multi-wave epidemic models to infectious disease data.

Main Results:

  • The epidWaves package enables the fitting of complex epidemic models.
  • The framework is applicable to various infectious diseases, including COVID-19.

Conclusions:

  • epidWaves offers a valuable tool for understanding and predicting epidemic dynamics.
  • The package supports data-driven insights into infectious disease outbreaks.