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About

Bruno M. P. M. Oliveira is an auxiliary professor at the University of Porto (Portugal) and a researcher of the LIAAD, INESC TEC. He has a degree in Astronomy, a MSc in Applied Mathematics, a PhD in Applied Mathematics and an Habilitation in Clinical Nutrition - Basic Sciences.
His research reaches several Mathematical areas that include Dynamical Systems, Game Theory and Statistics.
Of his particular interest are applications to Nutrition and Food Sciences (in particular to Clinical Nutrition and Food and Nutrition Consumption Sciences), Immunology (in particular modelling T cell and Tregs), Epidemiology and Economy (in particular in Cournot competition and random pairing markets).
He has participated in research projects funded by EU and the Portuguese FCT covering Nutrition and Food Sciences and Mathematics.

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Details

Details

  • Name

    Bruno Mendes Oliveira
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    01st April 2012
001
Publications

2021

FOREWORD: SPECIAL ISSUE "EURO 2019: GAMES IN ECONOMICS, FINANCE AND BIOLOGY"

Authors
Daniele, P; Fulga, C; Martn Herran, G; Mazalov, V; Petrosyan, L; Oliveira, BMPM; Ramos, C; Weber, GW; Zenkevich, N;

Publication
JOURNAL OF DYNAMICS AND GAMES

Abstract

2021

Prevalence of Nutritional Risk at Admission in Internal Medicine Wards in Portugal: The Multicentre Cross-Sectional ANUMEDI Study

Authors
Marinho, R; Pessoa, A; Lopes, M; Rosinhas, J; Pinho, J; Silveira, J; Amado, A; Silva, S; Oliveira, B; Marinho, A; Jager Wittenaar, H;

Publication
ACTA MEDICA PORTUGUESA

Abstract
Introduction: Disease-related undernutrition is highly prevalent and requires timely intervention. However, identifying undernutrition often relies on physician judgment. As Internal Medicine wards are the backbone of the hospital setting, insight into the prevalence of nutritional risk in this population is essential. We aimed to determine the prevalence of nutritional risk in Internal Medicine wards, to identify its correlates, and to assess the agreement between the physicians' impression of nutritional risk and evaluation by Nutritional Risk Screening 2002. Material and Methods: A cross-sectional multicentre study was performed in Internal Medicine wards of 24 Portuguese hospitals during 2017. Data on demographics, previous hospital admissions, primary diagnosis, and Charlson comorbidity index score were collected. Nutritional risk at admission was assessed using Nutritional Risk Screening 2002. Agreement between physicians' impression of nutritional risk and Nutritional Risk Screening 2002 was tested by Cohen's kappa. Results: The study included 729 participants (mean age 74 +/- 14.6 years, 51% male). The main reason for admission was respiratory disease. Mean Charlson comorbidity index score was 5.8 +/- 2.8. Prevalence of nutritional risk was 51%. Nutritional risk was associated with admission during the previous year (odds ratio = 1.65, 95% confidence interval: 1.22 - 2.24), solid tumour with metastasis (odds ratio = 4.73, 95% confidence interval: 2.06 - 10.87), any tumour without metastasis (odds ratio = 2.04, 95% confidence interval:1.24 - 3.34), kidney disease (odds ratio = 1.83, 95% confidence interval: 1.21 - 2.75), peptic ulcer (odds ratio = 2.17, 95% confidence interval: 1.10 - 4.25), heart failure (odds ratio = 1.51, 95% confidence interval: 1.11 - 2.04), dementia (odds ratio = 3.02, 95% confidence interval: 1.96 - 4.64), and cerebrovascular disease (odds ratio = 1.62, 95% confidence interval: 1.12 - 2.35). Agreement between physicians' evaluation of nutritional status and Nutritional Risk Screening 2002 was weak (Cohen's kappa = 0.415, p < 0.001). Discussion: Prevalence of nutritional risk in the Internal Medicine population is very high. Admission during the previous year and multiple comorbidities increase the odds of being at-risk. Subjective physician evaluation is not appropriate for nutritional screening. Conclusion: The high prevalence of at-risk patients and poor subjective physician evaluation suggest the need to implement mandatory nutritional screening.

2021

Firms, technology, training and government fiscal policies: An evolutionary approach

Authors
Accinelli, E; Martins, F; Muniz, H; Oliveira, BMPM; Pinto, AA;

Publication
Discrete & Continuous Dynamical Systems - B

Abstract
<p style='text-indent:20px;'>In this paper we propose and analyze a game theoretical model regarding the dynamical interaction between government fiscal policy choices toward innovation and training (I&amp;T), firm's innovation, and worker's levels of training and education. We discuss four economic scenarios corresponding to strict pure Nash equilibria: the government and I&amp;T poverty trap, the I&amp;T poverty trap, the I&amp;T high premium niche, and the I&amp;T ideal growth. The main novelty of this model is to consider the government as one of the three interacting players in the game that also allow us to analyse the I&amp;T mixed economic scenarios with a unique strictly mixed Nash equilibrium and with I&amp;T evolutionary dynamical cycles.</p>

2021

Immune Response Model Fitting to CD4$$^+$$ T Cell Data in Lymphocytic Choriomeningitis Virus LCMV infection

Authors
Afsar, A; Martins, F; Oliveira, BMPM; Pinto, AA;

Publication
Springer Proceedings in Mathematics & Statistics - Modeling, Dynamics, Optimization and Bioeconomics IV

Abstract

2021

Dietary Patterns in Portuguese Children and Adolescent Population: The UPPER Project

Authors
de Moraes, MM; Oliveira, B; Afonso, C; Santos, C; Torres, D; Lopes, C; de Miranda, RC; Rauber, F; Antoniazzi, L; Levy, RB; Rodrigues, S;

Publication
Nutrients

Abstract
Considering the nature, extent, and purpose of food processing, this study aims to identify dietary patterns (DPs) and their associations with sociodemographic factors and diet quality in Portuguese children and adolescents. Cross-sectional data were obtained from the National Food, Nutrition and Physical Activity Survey (2015–2016) of the Portuguese population. Dietary intake was obtained from two non-consecutive days and food items were classified according to the NOVA system. The proportion (in grams) of foods in the total daily diet was considered to identify DPs by latent class analysis, with age and sex as concomitant variables. Associations of DPs with sociodemographic characteristics were assessed using multinomial logistic regression. Linear regressions adjusted by sociodemographic characteristics tested associations of DPs with diet quality. DPs identified were: “Unhealthy” (higher sugar-sweetened beverages, industrial breads, and sausages intake), “Traditional” (higher vegetables, fish, olive oil, breads, ultra-processed yogurts, and sausages intake), and “Dairy” (higher intake of milk, yogurt, and milk-based beverages). “Unhealthy” was associated with older ages and lower intake of dietary fibre and vitamins and the highest free sugars and ultra-processed foods (UPF), although all DPs presented significant consumption of UPF. These findings should be considered for the design of food-based interventions and school-feeding policies in Portugal.

Supervised
thesis

2021

A Perceção dos consumidores universitários face ao desperdício alimentar e à sustentabilidade

Author
Maria Eduarda Fernandes de Melo

Institution
UP-FCNAUP

2021

Applications of game theory and dynamical systems on biology and economy

Author
Atefeh Afsar

Institution
UP-FCUP

2021

Rotulagem: visão, posição e opinião do profissional português da área alimentar

Author
Daniela Salgueiro Brás Aurora Vareiro

Institution
UP-FCNAUP

2021

"Mais Perto das Estrelas" do Planetário do Porto: Análise da interação dos participantes com a atividade

Author
Ricardo Samuel dos Santos Cardoso Reis

Institution
UP-FCUP

2020

Avaliação do impacto da ingestão de proteína na glicemia pós-prandial em indivíduos adultos com Diabetes Mellitus tipo I com insulinoterapia funcional

Author
Lisandra Marina Baptista Ribeiro

Institution
UP-FCNAUP