A Novel Approach to Analyzing Seasonal Patterns in Epidemics Using a Higher-Dimensional State Space

PŘIBYLOVÁ, Lenka; Veronika ECLEROVÁ a Deeptajyoti SEN. A Novel Approach to Analyzing Seasonal Patterns in Epidemics Using a Higher-Dimensional State Space. In ESCAIDE 2023. 2023.

Základní údaje

Originální název

A Novel Approach to Analyzing Seasonal Patterns in Epidemics Using a Higher-Dimensional State Space

Autoři

PŘIBYLOVÁ, Lenka; Veronika ECLEROVÁ a Deeptajyoti SEN

Vydání

ESCAIDE 2023, 2023

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Další údaje

Jazyk

angličtina

Typ výsledku

Prezentace na konferencích

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Organizační jednotka

Přírodovědecká fakulta

Příznaky

Mezinárodní význam

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Anotace

V originále

We demonstrate the advantages of this approach and its potential applications in both theoretical biology and practical problems related to respiratory epidemics, including the Covid-19 pandemic. We demonstrate how to address important epidemiological questions using our approach. These questions can include determining the feasibility of eradicating an endemic disease, assessing the possibility of a transition from massive COVID-19 outbreaks in a naive population to a seasonally synchronized respiratory disease, and exploring other important issues related to the control and prevention of infectious diseases. As an model example we use a SEIRS-type model with transmissibility rates β1, 2, partial immunization with waning rate w, standard parameters σ, γ (1/σ average incubation duration, 1/γ average infectious period), and q, ξ denoting the rate of getting partial immunity due to vaccination or infection. But any other model can be taken.

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Návaznosti

101063853, interní kód MU

Název: Models with cross-interactions between partial dynamical processes aiming to understand significant or abrupt dynamic changes. (Akronym: CrossInteractions) Investor: Evropská unie, Models with cross-interactions between partial dynamical processes aiming to understand significant or abrupt dynamic changes., Marie Skłodowska-Curie Postdoctoral Fellowships (MSCA PF)