20th April 2014

Optimizing strategies for meningococcal C disease vaccination in Valencia (Spain)

Published paper “Optimizing strategies for meningococcal C disease vaccination in Valencia (Spain)” (L. Pérez-Breva, R.J. Villanueva, J. Villanueva-Oller, L. Acedo, F. Santonja, J.A. Moraño, R. Abad, J. Vázquez, J. Díez-Domingo) in the BMC Infectious Diseases (doi:10.1186/1471-2334-14-280)

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20th February 2014

RSV Modeling Using Genetic Algorithms in a Distributed Computing Environment Based on Cloud File Sharing

Published paper “RSV Modeling Using Genetic Algorithms in a Distributed Computing Environment Based on Cloud File Sharing” (J. Gabriel Garc?a Caro, Javier Villanueva-Oller, J. Ignacio Hidalgo) in the Mathematical Modeling in Engineering & Social Sciences, ISBN 978-1-63117-339-4, pp. 227-240 (year 2014)

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29th October 2013

Pertinence of a change in the meningocococcal C conjugate vaccine schedule in the Region of Valencia, Spain. Mathematical Modeling

Presented communication “Pertinence of a change in the meningocococcal C conjugate vaccine schedule in the Region of Valencia, Spain. Mathematical Modeling” (L. Pérez-Breva, RJ. Villanueva, J. Villanueva-Oller, L. Acedo, FJ. Santonja, JA. Moraño, R. Abad, JA. Vázquez, M. Sastre, J. Díez) in the
7th Vaccine & ISV Congress
Elsevier Ltd
Sitges, Barcelona, España, 27-29/10/2013

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27th September 2013

Epidemic Random Network Simulations in a Distributed Computing Environment

Published paper “Epidemic Random Network Simulations in a Distributed Computing Environment” (J. Villanueva-Oller, L. Acedo, J. A. Moraño, A. Sánchez-Sánchez) in the Abstract and Applied Analysis, vol. 2013, ISSN 1085-3375

Available online at http://www.hindawi.com/journals/aaa/2013/462801/

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7th September 2012

Modelling the academic performance in Spanish High School: An epidemiological approach with uncertainty

Presented communication “Modelling the academic performance in Spanish High School: An epidemiological approach with uncertainty” (R. Cervelló, J.C. Cortés, J.A. Moraño, J. Villanueva-Oller) in the
Congress of Mathematical Modelling in Engineering & Human Behaviour 2012
IMM – Universivad Politécnica de Valencia
Valencia, España, 04-07/09/2012

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7th September 2012

Forecasting the protection provided by the current vaccination schedule against meningitis C

Presented communication “Forecasting the protection provided by the current vaccination schedule against meningitis C” (L. Acedo, J. Díez-Domingo, J.A. Moraño, L. Pérez-Breva, R.J. Villanueva, J. Villanueva-Oller) in the
Congress of Mathematical Modelling in Engineering & Human Behaviour 2012
IMM – Universivad Politécnica de Valencia
Valencia, España, 04-07/09/2012

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20th October 2011

Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia

Published paper “Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia” (L. Acedo, J.A. Moraño, R.J. Villanueva, J. Villanueva-Oller), in the Mathematical and Computer Modelling nº 54, ISSN 0895-7177, pp. 1650-1654 (año 2011)

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20th December 2010

Seasonal Respiratory Syncytial Virus Epidemic in a Random Social Network

Published paper “Seasonal Respiratory Syncytial Virus Epidemic in a Random Social Network” (J. Díez-Domingo, J. Villanueva-Oller, L. Acevo, R.J. Villanueva, J.A. Moraño) in the Modelling for addictive behaviour, medicine and engineering 2010, ISBN 978-84-693-9537-0, pp. 1-4

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28th September 2010

Random Networks to study the dynamics of respiratory syncitial virus (VRS) in the Spanish region of Valencia

Presented conference “Random Networks to study the dynamics of respiratory syncitial virus (VRS) in the Spanish region of Valencia” (L. Acedo, J.A. Moraño, R.J. Villanueva, J. Villanueva Oller) in the
Seventh International Conference on Engineering Computational Technology ECT2010
Civil-Comp Press (Editor)
ECT2010, Valencia, Spain, 14-17/09/2010
ISSN 1759-3433

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26th September 2010

Random Networks in a Distributed Computing Environment: An Approach to the Transmission Dynamics of Epidemic Diseases

Published paper “Random Networks in a Distributed Computing Environment: An Approach to the Transmission Dynamics of Epidemic Diseases” (L. Acedo, J.A. Moraño, R.J. Villanueva, J. Villanueva Oller) in the
Proceedings of the Seventh International Conference on Engineering Computational Technology, CCP 94 , ISSN 1759-3433 (año 2010)

Random networks are emerging in epidemiology as a way of simulation more realistic random contact behaviours. A network is a set of nodes representing individuals. Labels or properties may be assigned to each node, for instance, age, sex, state respect to disease (susceptibility, infection, recovery, etc.). Nodes are connected by ties that represent disease transmission paths. Once the network model and the disease evolution rules are stated, it is possible to simulate the evolution of the network over time and study the effect of disease on the population.

Moreover, random networks provide an easy way of modelling those scenarios where it is required the monitoring of the specific individuals, the design of single or combined vaccination strategies or to control and apply therapies in chosen target groups, something difficult to achieve in continuous models. However, essential aspects in epidemiology like the model fitting with data in order to obtain the transmission rate of a disease in a specific region turns out to be highly complex in computational terms (requiring for an average desktop computer several weeks, months
or even years of calculation time) whereas it is an issue with some valid approaches in continuous models which are able to solve the model in an affordable quantity of time.

In this paper, we present the description of a computational system following the paradigm of distributed computing, which will allow the estimation of parameters in random network epidemic models. This paradigm consists of a server that delivers tasks to be carried out by client computers. When the task is finished, the client sends the obtained results to the server to be stored until all tasks are finished and then, ready to be analysed.

Keywords: random network, distributed computing, epidemic diseases, transmission
dynamics.

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10th September 2010

El proyecto Falúa: computación distribuida mediante BOINC en el Campus de Aranjuez de la UCM

Presented conference “El proyecto Falúa: computación distribuida mediante BOINC en el Campus de Aranjuez de la UCM” (J. Villanueva-Oller, D. Martín, I. Hidalgo, M. Alberquilla, I. Contreras) in the
Congreso Español de Informática 2010 – XXI Jornadas de Paralelismo
Ibergarceta Publicaciones, S.L. (Editor)
CEDI2010, Valencia, España, 08-10/09/2010

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