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A Spatial-Temporal Model for the Evolution of the COVID-19 Pandemic in Spain Including Mobility
In this work, a model for the simulation of infectious disease outbreaks including mobility data is presented. The model is based on the SAIR compartmental model and includes mobility data terms that model the flow of people between different regions ...
Francesc Aràndiga +6 more
doaj +1 more source
Stochastic effects in a seasonally forced epidemic model [PDF]
The interplay of seasonality, the system's nonlinearities and intrinsic stochasticity is studied for a seasonally forced susceptible-exposed-infective-recovered stochastic model. The model is explored in the parameter region that corresponds to childhood
Nunes, Ana, Rozhnova, Ganna
core +2 more sources
Understanding the spread of infectious diseases such as COVID-19 has been a persistent challenge for scientists and policymakers. While numerous studies have researched general aspects of the COVID-19 transmission dynamics, few have specifically examined
Fernando Reyes-Gomez +4 more
doaj +1 more source
An Epidemic Model with Time Delay Determined by the Disease Duration
Immuno-epidemiological models with distributed recovery and death rates can describe the epidemic progression more precisely than conventional compartmental models.
Samiran Ghosh +2 more
doaj +1 more source
A decade of change: maternal mortality trends in Sudan, 2009–2019
Background Unacceptably high levels of preventable maternal deaths persist across sub-Saharan Africa. Due to limited research on maternal mortality in Sudan, a thorough examination is crucial to develop effective reduction strategies.
Sara Taha +3 more
doaj +1 more source
Epidemic Models with Varying Infectivity on a Refining Spatial Grid—I—The SI Model
We consider a space–time SI epidemic model with infection age dependent infectivity and non-local infections constructed on a grid of the torus Td=[0,1)d, where the individuals may migrate from node to node.
Anicet Mougabe-Peurkor +2 more
doaj +1 more source
Coupling a branching process to an infinite dimensional epidemic process [PDF]
Branching process approximation to the initial stages of an epidemic process has been used since the 1950's as a technique for providing stochastic counterparts to deterministic epidemic threshold theorems.
Andrew D. Barbour +9 more
core +3 more sources
Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
In this study, we analyze a time-fractional spatiotemporal SIR model in a specific area Ω. Taking into account the available resources, vaccines are allocated to region ω1⊆Ω and treatments to region ω2⊆Ω, which may or may not coincide.
Marouane Karim +5 more
doaj +1 more source
Dynamic analysis of a fractional-order SIRS model with time delay
Mathematical modeling plays a vital role in the epidemiology of infectious diseases. Policy makers can provide the effective interventions by the relevant results of the epidemic models.
Xueyong Zhou, Mengya Wang
doaj +1 more source

