EDUARDO MASSAD

(Fonte: Lattes)
Índice h a partir de 2011
24
Projetos de Pesquisa
Unidades Organizacionais
Departamento de MedicinaLegal, Ética Médica e Medicina Social e do Trabalho, Faculdade de Medicina - Docente
LIM/01 - Laboratório de Informática Médica, Hospital das Clínicas, Faculdade de Medicina - Líder

Resultados de Busca

Agora exibindo 1 - 10 de 11
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    Madeira's dengue outbreak in 2012: could it happen again in the near future?
    (2015) QUAM, M. B.; HELMERSSON, J. L.; MASSAD, E.; WILDER-SMITH, A.; ROCKL, J.
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    The risk of infectious diseases introduction into non-infected countries by travelers visiting endemic countries
    (2015) MASSAD, E.; LOPEZ, L. F.; AMAKU, M.; COUTINHO, F. A. B.; QUAM, M.; BURATTINI, M. N.; STRUCHINER, C. J.; WILDER-SMITH, A.
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    Seasonality of dengue epidemic potential in Europe - based on vectorial capacity for Aedes mosquitoes
    (2015) HELMERSSON, J. L.; QUAM, M.; STENLUND, H.; WILDER-SMITH, A.; EBI, K.; MASSAD, E.; ROCKLOV, J.
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    Potential impact of dengue vaccination: a modeling approach
    (2012) MASSAD, E.
    Dengue is a major public health concern in Brazil. Dengue vaccines should help, when available, to significantly reduce the burden of dengue but raise a number of question around their best use. In this context, mathematical models can provide insights on questions such as optimal age for vaccination or respective benefits of routine and catch-up vaccination at different coverage rates. We first present analytical results related to the optimal age for vaccination and expected benefits from catch-up campaigns using the most recent seroprevalence data available for Brazil. We then present the results obtained with an age-structured, host-vector compartmental model that captures seasonality and interactions between the four dengue serotypes. This model was adapted to the Brazilian situation through the use of surveillance data for age and severity-specific incidence as well as available information on vector density and dengue seroprevalence according to age. Both analyses lead to the conclusion that starting routine vaccination at an early age (2 years of age) provides the largest reduction of dengue incidence per vaccine dose administered whatever the force of infection, vaccine coverage or efficacy considered. Routine vaccination alone is however expected to get a limited impact on dengue incidence the first year of its implementation. Complementing routine vaccination by catch-up campaigns enables to obtain very rapidly a high level of disease control if offered to a sufficient number of cohorts (e.g. children from 3 to 14 years of age). The results of an ongoing efficacy and large scale safety study should help to refine the results on the benefits expected from a dengue vaccination program.
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    ANALYSIS OF THE BASIC REPRODUCTION NUMBER FROM THE INITIAL GROWTH PHASE OF THE OUTBREAK IN DISEASES CAUSED BY VECTORS
    (2014) SANCHES, R. P.; MASSAD, E.
    The basic reproduction number, R-0, is defined as the expected number of secondary cases of a disease produced by a single infection in a completely susceptible population. The value of R-0 can be estimated in several ways, for example, of the stability analysis of a compartmental model, through the matrix of next generation, etc. In this work we studied the method for estimating R-0 from the initial growth phase of the outbreak. Some authors proposed different methods for estimating the value of (R)0 using the initial growth phase of the outbreak without assuming exponential growth of cases, which is suggested in most studies. We used the method proposed by Macdonald and studied by Massad et. al.(2010)(1) and the method proposed by Nishiura(2010)(2). Massad et. al.(2010)(1) studied the basic reproduction number proposed by Macdonald's, which it was divided in two components: the vector-to-human component (TV-H) and the human-to-vector component (TH-V), R-0 is the product of those two components. Nishiura(2010)(2) presented a correction of the actual reproduction number (R-a), he showed through this correction that the basic reproduction number and actual reproduction number are equal, then he offered a framework for estimating R-0. Our objective is to evaluate which technique best estimates the basic reproduction number applying them to diseases caused by vectors, in this particular case we used data of dengue.
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    The dengue outbreak in Madeira 2012: exploring the origins
    (2013) WILDER-SMITH, A.; ROCKLOV, J.; SESSIONS, O.; MASSAD, E.; KHAN, K.
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    QUANTIFYING THE RISK OF MOSQUITO-BORNE INFECTIONS BASING ON THE EQUILIBRIUM PREVALENCE IN HUMANS
    (2013) AMAKU, Marcos; COUTINHO, Francisco Antonio Bezerra; MASSAD, Eduardo
    This paper proposes a general model for vector-borne infections that is flexible enough to comprise the dynamics of some known diseases transmitted by arthropods. From equilibrium analysis, we determined the number of infected vectors as an explicit function of the model's parameters and the prevalence of infection in the hosts. From the analysis, it is also possible to derive the Basic Reproduction Number and the equilibrium force of infection as a function of those parameters and variables. From the force of infection, we were able to conclude that, depending on the disease's structure and the model's parameters, it is possible to estimate a risk quantifier for those diseases. The analysis is exemplified by the case of malaria.
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    Brain Mapping and Interpretation of Reading Processing in Children Using EEG and Multivariate Statistical Analysis
    (2014) ROCHA, Fabio Theoto; THOMAZ, Carlos Eduardo; ROCHA, Armando Freitas da; MASSAD, Eduardo
    Difficulties in learning to read may have a number of causes and children tend to experience on the phonological route the most common disturbance in this cognitive task. Using two sample groups of children with and without reading difficulties and their corresponding EEG signals captured during the reading processing, we describe in this work a set of techniques that investigates such disturbance by generating whole brain mappings based on the entropy of each EEG electrode and non-supervised and supervised multivariate statistical analyses. Our experimental results have clearly showed specific neural organizations well suited to interpreting the word/phrase reading processing in these children. We believe that these techniques might become an effective computational tool in helping the diagnostic process of children with learning disabilities.
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    THE MATHEMATICS OF LIVER TRANSPLANTATION
    (2014) COUTINHO, Francisco Antonio Bezerra; CHAIB, Eleazar; AMAKU, Marcos; BURATTINI, Marcelo Nascimento; MASSAD, Eduardo
    Sao Paulo is the pioneer Brazilian state in transplantation surgery. The Brazilian model for organ sharing has developed a system that prioritizes liver transplantion (LT) for patients who have the highest risk of wait-list mortality. In this paper we present a brief review of the application of mathematical models to the problem of how to improve the speed with which patients with liver failure can receive a liver graft and how alternative criteria for prioritizing patients in the waiting list can be proposed.