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Ghatak, A., Singh Patel, S., Bonnerjee, S., & Roy, S. (2022). A

generalized epidemiological model with dynamic and

asymptomatic population. Statistical Methods in

Medical Research, 31(11), 2137-2163.

In this paper, we develop an extension of compartmental epidemiological models which is suitable for COVID-19.

The model presented in this paper comprises seven compartments in the progression of the disease. This
model, named as the SINTRUE (Susceptible, Infected, and pre-symptomatic, Infected and Symptomatic but Not
Tested, Tested Positive, Recorded Recovered, Unrecorded Recovered, and Expired) model. The proposed model
incorporates transmission due to asymptomatic carriers and captures the spread of the disease due to the
movement of people to/from different administrative boundaries within a country. In addition, the model allows

estimating the number of undocumented infections in the population and the number of unrecorded recoveries.
The associated parameters in the model can help architect the public health policy and operational management
of the pandemic. The results show that the testing rate of the asymptomatic patients is a crucial parameter

to fight against the pandemic. The model is also shown to have a better predictive capability than the other
epidemiological models.

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