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Identification of Gumel-Mickens HIV model with incomplete information on a population

Year: 2025

Type: article

Abstract: In this paper the Gumel-Mickens problem is considered, which includes a population of four types: HIV Susceptible, infected-vaccinated and infected- non vaccinated population and uninfected vaccinated population. It is assumed that data on the total population infected vaccinated and infected, and un-vaccinated population is available. It is shown that in this case of incomplete information it is possible to fully identify the mathematical model, i.e. find all coefficients of this model and restore information about HIV-suspected and uninfected vaccinated population.

Source: Figshare

DOI: 10.14749/28650998

Author: Human Sciences Research Council

Language: English

Topic: Mathematical and Theoretical Epidemiology and Ecology Models

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: Human Sciences Research Council

OpenAlex ID: W6942748995

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