output
20052025
most citedThe Magnitude and Frequency Variations of Vector-Borne Infections Outbreaks with the Ross-Macdonald Model: Explaining and Predicting Outbreaks of Dengue Fever

41 citations

11 papers

stat.ML2025★ 4 cited

Clinical characteristics, complications and outcomes of critically ill patients with Dengue in Brazil, 2012-2024: a nationwide, multicentre cohort study

Igor Tona Peres, Otavio T. Ranzani, Leonardo S. L. Bastos +4

Background. Dengue outbreaks are a major public health issue, with Brazil reporting 71% of global cases in 2024. Purpose. This study aims to describe the profile of severe dengue p…

cs.DC2024

Efficiently Scheduling Parallel DAG Tasks on Identical Multiprocessors

Shardul Lendve, Konstantinos Bletsas, Pedro F. Souto

Parallel real-time embedded applications can be modelled as directed acyclic graphs (DAGs) whose nodes model subtasks and whose edges model precedence constraints among subtasks. E…

cs.HC2022★ 30 cited

ClinicalPath: a Visualization tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making

Claudio D. G. Linhares, Daniel M. Lima, Jean R. Ponciano +5

Physicians work at a very tight schedule and need decision-making support tools to help on improving and doing their work in a timely and dependable manner. Examining piles of shee…

eess.IV2021★ 1 cited

Convolutional module for heart localization and segmentation in MRI

Daniel Lima, Catharine Graves, Marco Gutierrez +2

Magnetic resonance imaging (MRI) is a widely known medical imaging technique used to assess the heart function. Deep learning (DL) models perform several tasks in cardiac MRI (CMR)…

eess.IV2021★ 4 cited

A study of CNN capacity applied to Left Venticle Segmentation in Cardiac MRI

Marcelo Toledo, Daniel Lima, José Krieger +1

CNN (Convolutional Neural Network) models have been successfully used for segmentation of the left ventricle (LV) in cardiac MRI (Magnetic Resonance Imaging), providing clinical me…

eess.IV2019★ 22 cited

Synthetic Elastography using B-mode Ultrasound through a Deep Fully-Convolutional Neural Network

R. R. Wildeboer, R. J. G. van Sloun, C. K. Mannaerts +5

Shear-wave elastography (SWE) permits local estimation of tissue elasticity, an important imaging marker in biomedicine. This recently-developed, advanced technique assesses the sp…

q-bio.PE2017

Estimating the prevalence of infectious diseases from under-reported age-dependent compulsorily notification databases

Marcos Amaku, Marcelo Nascimento Burattini, Eleazar Chaib +4

Background: National or local laws, norms or regulations (sometimes and in some countries) require medical providers to report notifiable diseases to public health authorities. Rep…

q-bio.PE2016★ 41 cited

The Magnitude and Frequency Variations of Vector-Borne Infections Outbreaks with the Ross-Macdonald Model: Explaining and Predicting Outbreaks of Dengue Fever

Marcos Amaku, Franciane Azevedo, Marcelo Nascimento Burattini +3

It is possible to model vector-borne infection using the classical Ross-Macdonald model. This attempt, however fails in several respects. First, using measured (or estimated) param…

stat.ME2009★ 9 cited

Vector Autoregressive Models With Measurement Errors for Testing Ganger Causality

Alexandre G. Patriota, Joao R. Sato, Betsabe G. Blas

This paper develops a method for estimating parameters of a vector autoregression (VAR) observed in white noise. The estimation method assumes the noise variance matrix is known an…

q-bio.OT2009★ 38 cited

Vaccination against rubella: Analysis of the temporal evolution of the age-dependent force of infection and the effects of different contact patterns

M. Amaku, F. A. B. Coutinho, R. S. Azevedo +3

In this paper, we analyze the temporal evolution of the age-dependent force of infection and incidence of rubella, after the introduction of a very specific vaccination programme i…

q-bio.PE2005

A schematic age-structured compartment model of the impact of antiretroviral therapy on HIV incidence and prevalence

L. F. Lopez, F. A. B. Coutinho, M. N. Burattini +1

A simple deterministic model is proposed to represent the basic aspects concerning the effects of different antiretroviral treatment schedules on HIV incidence and prevalence of af…