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Updated: Sep 1, 2025

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A generalized epidemiological model with dynamic and asymptomatic population.

Anirban Ghatak1, Shivshanker Singh Patel2, Soham Bonnerjee3,4

  • 129325Indian Institute of Management Kozhikode, India.

Statistical Methods in Medical Research
|August 17, 2022
PubMed
Summary

The SINTRUE model enhances epidemiological forecasting for COVID-19 by tracking disease progression through seven stages. It highlights the critical role of testing asymptomatic individuals to control the pandemic.

Keywords:
Asymptomatic populationCOVID-19INDIASINTRUE modeldynamic population

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Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health

Background:

  • COVID-19 pandemic necessitates advanced epidemiological models for accurate forecasting and management.
  • Existing models may not fully capture disease dynamics, including asymptomatic transmission and population mobility.

Purpose of the Study:

  • To develop and present the SINTRUE (Susceptible, Infected and pre-symptomatic, Infected and Symptomatic but Not Tested, Tested Positive, Recorded Recovered, Unrecorded Recovered, and Expired) model, an extension of compartmental models for COVID-19.
  • To incorporate asymptomatic carriers, population movement, and estimate undocumented infections and unrecorded recoveries.
  • To provide a tool for public health policy and pandemic management.

Main Methods:

  • Development of a seven-compartment epidemiological model (SINTRUE).
  • Inclusion of parameters for asymptomatic transmission and inter-boundary population movement.
  • Estimation of undocumented infections and unrecorded recoveries.

Main Results:

  • The SINTRUE model demonstrates improved predictive capability compared to existing epidemiological models.
  • Results indicate that the testing rate of asymptomatic individuals is a critical factor in controlling the pandemic.
  • The model effectively estimates undocumented infections and unrecorded recoveries, aiding in pandemic management.

Conclusions:

  • The SINTRUE model offers a more comprehensive approach to understanding and managing COVID-19 transmission.
  • Public health strategies should prioritize testing asymptomatic carriers to mitigate pandemic spread.
  • The model's parameters provide valuable insights for operational pandemic management and policy development.