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Advancements in Epidemiological Modelling and Control Strategies for Infectious Diseases: Implications for Population Health Management, Pharmacogenomics, and Patient-Centered Care

Advancements in Epidemiological Modelling and Control Strategies for Infectious Diseases: Implications for Population Health Management, Pharmacogenomics, and Patient-Centered Care
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Author(s): Stelios Zimeras (University of the Aegean, Greece)
Copyright: 2025
Pages: 18
Source title: Convergence of Population Health Management, Pharmacogenomics, and Patient-Centered Care
Source Author(s)/Editor(s): Anastasius S. Moumtzoglou (P & A Kyriakou Children's Hospital, Greece)
DOI: 10.4018/979-8-3693-3260-3.ch002

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Abstract

The chapter argues that communicable diseases are typically spread from one person to another through contact with blood and body fluids, breathing in an airborne virus, or being bitten by a carrier of the virus. An epidemiological mathematical model is a model that describes epidemics. When a pandemic occurs, mathematical models play an important role in comparing, planning, implementing, evaluating, and optimizing various methods of detection, prevention, treatment, and control programs, contributing significantly to the fight against the spread and control of infectious diseases. Therefore, in order to create an epidemiological model, mechanisms of the spread of each virus as well as characteristics governing the population need to be included. In this chapter, the most common epidemiological models include Susceptible Infectious (SI) (Susceptible-Infected), Susceptible Exposed Infectious Susceptible (SEIS), and Susceptible Exposed Infectious Recovered (SEIR).

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