Víctor Sánchez-Alonso

Víctor Sánchez-Alonso
Universitat Politècnica de València | UPV · Institute for Multidisciplinary Mathematics (im2)

Phd in Mathematics

About

10
Publications
499
Reads
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33
Citations
Introduction
Ph.D. student at Universitat Politècnica de València in Spain, currently enrolled in the National Institute of Informatics (NII) in Tokyo Japan, working in Prof. Shin'ichi Satoh's group. I received the NII International Internship Program for a period of 4 months. My research interest includes machine learning, deep learning and computer vision.
Additional affiliations
November 2017 - present
National Institute of Informatics
Position
  • Machine learning, deep learning
June 2014 - present
Universitat Politècnica de València
Position
  • PhD Student
Description
  • Project 'Papillomavirus transmission dynamics on lifetime sexual partners networks' using random networks and PSO algorithm.
Education
October 2012 - June 2014
National Distance Education University
Field of study
  • Engineering of systems and control
October 2005 - July 2008
University Carlos III de Madrid
Field of study
  • Computer Science
October 2001 - June 2004
Complutense University of Madrid
Field of study
  • Computer Science

Publications

Publications (10)
Article
Full-text available
Cervical cancer is the fourth most common malignancy in women worldwide, although it is preventable with prophylactic HPV vaccination. HPV transmission-dynamic models can predict the potential for the global elimination of cervical cancer. The random network model is a new approach that allows individuals to be followed, and to implement a given va...
Preprint
Full-text available
Cervical cancer is the fourth most common malignancy in women worldwide, although it is preventable with prophylactic HPV vaccination. HPV transmission-dynamic models can predict the potential for global elimination of cervical cancer. The random network model is a new approach that allows individuals to be followed, and to implement a given vaccin...
Article
Full-text available
In this paper, we consider a random network model for sexual contacts in a population developed from real statistical data in order to assess vaccination policies against sexually transmitted diseases (STDs). The model is constructed by imposing a constraint requiring that individuals of a given sex, in a given age group, would have an average conn...
Article
Full-text available
A major challenge in human papillomavirus (HPV) vaccine programs is the universal gender-neutral recommendation, as well as estimation of its long-term effect. The objective of this study is to predict the added benefit of male vaccination, especially in men who have sex with men (MSM), and to analyze the impact of the program on society. We propos...
Article
Full-text available
Taking into account the public health importance of the human papillomavirus (HPV) control in the future, it is mandatory to assess the effect of the vaccination campaigns on the control of HPV spread and the associated diseases using reliable mathematical models. We propose a computational random network model with the aim of studying the transmis...
Thesis
Full-text available
Sexually transmitted diseases (STDs) have been a major public health threat for a long time in human history. Modern concerns about STD began with the pandemic of syphilis which spread over Europe in the early sixteenth century. The human papillomavirus (HPV) is the direct cause of more than half million new cases of cervical cancer, the second m...
Article
Full-text available
The Human papillomaviruses (HPV) vaccine induces a herd immunity effect in genital warts when a large number of the population is vaccinated. This aspect should be taken into account when devising new vaccine strategies, like vaccination at older ages or male vaccination. Therefore, it is important to develop mathematical models with good predictiv...
Preprint
HPV vaccine induces a herd immunity effect in genital warts when a large number of the population is vaccinated. That aspect should be taken into account when devising new vaccine strategies, like vaccination at older ages or male vaccination. Therefore it is important to develop mathematical models with good predictive capacities. We devised a sex...
Article
Working in large networks applied to epidemiological-type models has led us to design a simple but effective computed distributed environment to perform a large amount of model simulations in a reasonable time in order to study the behavior of these models and to calibrate them. Finding the model parameters that best fit the available data in the d...
Chapter
The structure and properties of sexual-contacts networks in human populations is a topic of key interest in connection with the spread of sexually transmitted infections (STI). However, this problem has received scarce attention, and the modelling of STI epidemiology is usually based on theoretical proposals in terms of the network structure usuall...

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Projects

Project (1)
Project
1.- Build feasible lifetime sexual partners networks using data from surveys. 2.- Define on these networks the transmission dynamics of high risk (oncogenic) and low risk (warts related) papillomavirus. 3.- Calibrate the model parameters to describe the present papillomavirus scenario. 4.- Predict the spread of the two types of papilloma virus over the next years. 5.- Simulate public health vaccination strategies. 6.- Study the implementation cost of the vaccination strategies.