0000000000437439

AUTHOR

J.-a. Moraño

showing 3 related works from this author

Cost analysis of a vaccination strategy for respiratory syncytial virus (RSV) in a network model

2010

[EN] In this paper an age-structured mathematical model for respiratory syncytial virus (RSV) is proposed where children younger than one year old, who are the most affected by this illness, are specially considered. Real data of hospitalized children in the Spanish region of Valencia are used in order to determine some seasonal parameters of the model. Once the parameters are determined, we propose a complete stochastic network model to study the seasonal evolution of the respiratory syncytial virus (RSV) epidemics. In this model every susceptible individual can acquire the disease after a random encounter with any infected individual in the social network. The edges of a complete graph co…

Cost estimationbusiness.industryStochastic modellingDiseaseBiologyRespiratory syncytial virusmedicine.disease_causeVaccination strategyComputer Science ApplicationsVaccinationRespiratory syncytial virus (RSV)Network mathematical modelSusceptible individualModeling and SimulationModelling and SimulationStatisticsmedicineCost analysisProbability distributionArtificial intelligencebusinessMATEMATICA APLICADANetwork modelMathematical and Computer Modelling
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Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia

2011

[EN] Seasonal fluctuations in the incidence of several respiratory infections are a feature of epidemiological surveys all around the world. This phenomenon is characteristic of influenza and respiratory syncytial virus pandemics. However, the explanation of the seasonal outbreaks of these diseases remains poorly understood. Many statistical studies have been carried out in order to provide a correlation of the outbreaks with climatic or social factors without achieving a definitive conclusion. Here we show that, in a random social network, self-sustained seasonal epidemics emerge as a process modulated by the infection probability and the immunity period after recovering from the infection…

Social factorRandom networksmedicine.medical_specialtySeasonal fluctuationsStatistical studyEpidemiologyBiologyRespiratory syncytial virusmedicine.disease_causeVirusSocial networksComputer virusesModelling and SimulationDominant mechanismRandom networkEpidemiologyPandemicmedicineRSV epidemicSocial factorIncidence (epidemiology)Public healthOutbreakComputer Science ApplicationsRespiratory syncytial virus (RSV)Modeling and SimulationVirusesValenciaMATEMATICA APLICADAPublic health policiesDemography
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A deterministic model for highly contagious diseases: The case of varicella

2016

[EN] The classic nonlinear Kermack-McKendrick model based upon a system of differential equations has been widely applied to model the rise and fall of global pandemic and also seasonal epidemic by introducing a forced harmonic infectivity which would change throughout the year. These methods work well in their respective domains of applicability, and for certain diseases, but they fail when both seasonality and high infectivity are combined. In this paper we consider a Susceptible-Infected-Recovered, or SIR, model with two latent states to model the propagation and evolutionary history of varicella in humans. We show that infectivity can be calculated from real data and we find a nonstanda…

0301 basic medicineStatistics and ProbabilityInfectivity030106 microbiologyBiologyHighly contagious diseasesInfectivity evolutionCondensed Matter PhysicsVaricella03 medical and health sciences0302 clinical medicineSystem of differential equationsPandemicEconometrics030212 general & internal medicineMATEMATICA APLICADACompartmental models
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