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Updated: Aug 31, 2025

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ModInterv: An automated online software for modeling epidemics.

Arthur A Brum1, Gerson C Duarte-Filho2, Raydonal Ospina3

  • 1Departamento de Física, Universidade Federal de Pernambuco, 50670-901 Recife, Pernambuco, Brazil.

Software Impacts
|August 22, 2022
PubMed
Summary
This summary is machine-generated.

Mathematical models are crucial for tracking epidemics like COVID-19. ModInterv software uses growth models to monitor epidemic evolution globally and in the USA and Brazil, aiding public health decisions.

Keywords:
COVID-19Curve fittingEpidemic curveGrowth models

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Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health Informatics

Background:

  • The COVID-19 pandemic highlighted the need for robust mathematical tools in epidemiology.
  • Effective monitoring of epidemic spread is vital for public health response and policy-making.

Purpose of the Study:

  • To introduce ModInterv, an online software tool for monitoring epidemic evolution using growth models.
  • To demonstrate the utility of ModInterv for tracking COVID-19 in diverse geographical locations.

Main Methods:

  • Development of ModInterv, an online software application.
  • Application of established growth models to analyze epidemic data.
  • User-defined selection of geographical areas (global, USA states/cities, Brazil states/cities).

Main Results:

  • ModInterv provides a platform for real-time monitoring of epidemic trends.
  • The software has been utilized in research and by technical committees advising authorities.
  • Demonstrated applicability to COVID-19 surveillance.

Conclusions:

  • ModInterv is a valuable tool for understanding and managing epidemic outbreaks.
  • The software's flexibility allows for adaptation to various geographical scales and potentially other diseases.
  • Facilitates data-driven decision-making in public health emergencies.