Araujo, Marcio Luis Valenca

@portal.ifba.edu.br

Teacher at Instituto Federal da Bahia



              

https://researchid.co/marcioaraujo

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Science Applications, Computational Theory and Mathematics, Computational Mathematics, Epidemiology

11

Scopus Publications

Scopus Publications

  • Fatal Oropouche Virus Infections in Nonendemic Region, Brazil, 2024
    Antonio Carlos Bandeira, Felicidade Mota Pereira, Arabela Leal, Sara P.O. Santos, Ana Claudia Barbosa, Marcia Sao Pedro Leal Souza, Daniele Ribeiro de Souza, Natalia Guimaraes, Vagner Fonseca, Marta Giovanetti,et al.

    Centers for Disease Control and Prevention (CDC)
    We report acute Oropouche virus infections in 2 previously healthy women from a nonendemic region of Brazil outside the Amazon Basin. Infections rapidly progressed to hemorrhagic manifestations and fatal outcomes in 4–5 days. These cases highlight the critical need for enhanced surveillance to clarify epidemiology of this neglected disease.

  • Complex network analysis of arboviruses in the same geographic domain: Differences and similarities
    Eslaine S. Santos, José G.V. Miranda, Hugo Saba, Lacita M. Skalinski, Marcio L.V. Araújo, Rafael V. Veiga, Maria da Conceição N. Costa, Luciana L. Cardim, Enny S. Paixão, Maria Glória Teixeira,et al.

    Elsevier BV

  • Synchronized spread of COVID-19 in the cities of Bahia, Brazil
    Hugo Saba, A.S. Nascimento Filho, José G.V. Miranda, Raphael S. Rosário, Thiago B. Murari, Eduardo M.F. Jorge, Elaine C.B. Cambui, Márcia S.P.L. Souza, Ana C.F.N. Silva, and Márcio L.V. Araújo

    Elsevier BV

  • A Critical Analysis of the COVID-19 Hospitalization Network in Countries with Limited Resources
    Marcio L. V. Araujo, José G. V. Miranda, Rodrigo N. Vasconcelos, Elaine C. B. Cambui, Raphael S. Rosário, Márcio C. F. Macedo, Antonio C. Bandeira, Márcia S. P. L. Souza, Ana C. F. N. Silva, Aloisio S. Nascimento Filho,et al.

    MDPI AG
    To effectively combat the COVID-19 pandemic, countries with limited resources could only allocate intensive and non-intensive care units to a low number of regions. In this work, we evaluated the actual displacement of infected patients in search of care, aiming to understand how the networks of planned and actual hospitalizations take place. To assess the flow of hospitalizations outside the place of residence, we used the concepts of complex networks. Our findings indicate that the current distribution of health facilities in Bahia, Brazil, is not sufficient to effectively reduce the distances traveled by patients with COVID-19 who require hospitalization. We believe that unnecessary trips to distant hospitals can put both the sick and the healthy involved in the transport process at risk, further delaying the stabilization of the COVID-19 pandemic in each region of the state of Bahia. From the results found, we concluded that, to mitigate this situation, the implementation of health units in countries with limited resources should be based on scientific methods, and international collaborations should be established.

  • Analysis of hydrous ethanol price competitiveness after the implementation of the Fossil fuel import price parity policy in Brazil
    Aloisio S. Nascimento Filho, Hugo Saba, Rafael G. O. dos Santos, João Gabriel A. Calmon, Marcio L. V. Araújo, Eduardo M. F. Jorge, and Thiago B. Murari

    MDPI AG
    Competition is a relevant element in any open economy. Public policies are necessary to induce economic efficiency and to create conditions to preserve or stimulate a competitive environment. This paper aims to assess the competitiveness of hydrous ethanol price in a period of political, social and economic crises, in 15 Brazilian state capitals between the years 2012 and 2019. We compared the ethanol–gasoline price ratio behavior in two different periods, before and after the import parity price policy implemented by Petrobras in 2016. Mann–Whitney and Levene’s tests, two non-parametric statistical methods, were applied to verify significant changes between these periods. The implementation of changes in Petrobras’ pricing policy from 2016 onwards caused a statistically significant increase in the ratio coefficient of variation in two-thirds of the distribution market and more than the half of analyzed retail markets. Second, overall, the cities that showed statistically significant changes in the median and coefficient of variation in the distribution market price ratio were followed by the retail market. Our findings suggest that government interventions in the fuel and byproduct final selling prices to distributors negatively impact competition between companies that are part of the fuel distribution and retail chain, also affecting the sale of biofuels in Brazil and discouraging the initiatives to use renewable fuels to reduce the emission of pollutants.

  • Erratum: Correlation between hospitalized patients’ demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil (PLoS ONE (2020) 15:12 (e0243966) DOI: 10.1371/journal.pone.0243966)
    Márcio C. F. Macedo, Isabelle M. Pinheiro, Caio J. L. Carvalho, Hilda C. J. R. Fraga, Isaac P. C. Araujo, Simone S. Montes, Otávio A. C. Araujo, Lucas A. Alves, Hugo Saba, Márcio L. V. Araújo,et al.

    Public Library of Science (PLoS)
    [This corrects the article DOI: 10.1371/journal.pone.0243966.].

  • Scaling effect in COVID-19 spreading: The role of heterogeneity in a hybrid ODE-network model with restrictions on the inter-cities flow
    José Garcia Vivas Miranda, Mateus Souza Silva, José Gabriel Bertolino, Rodrigo Nogueira Vasconcelos, Elaine Cristina Barbosa Cambui, Marcio Luis Valença Araújo, Hugo Saba, Diego Pereira Costa, Soltan Galano Duverger, Matheus Teles de Oliveira,et al.

    Elsevier BV

  • Correlation between hospitalized patients' demographics, symptoms, comorbidities, and COVID-19 pandemic in Bahia, Brazil
    Márcio C. F. Macedo, Isabelle M. Pinheiro, Caio J. L. Carvalho, Hilda C. J. R. Fraga, Isaac P. C. Araujo, Simone S. Montes, Otávio A. C. Araujo, Lucas A. Alves, Hugo Saba, Márcio L. V. Araújo,et al.

    Public Library of Science (PLoS)
    In this paper, we provide a retrospective cohort study with patients that have been hospitalized for general or intensive care unit admission due to COVID-19, between March 3 and July 29, 2020, in the state of Bahia, Brazil. We aim to correlate those patients’ demographics, symptoms and comorbidities, with the risk of mortality from COVID-19, length of hospital stay, and time from diagnosis to definitive outcome. On the basis of a dataset provided by the Health Secretary of the State of Bahia, we selected 3,896 hospitalized patients from a total of 154,868 COVID-19 patients that included non-hospitalized patients and patients with invalid registration in the dataset. Then, we statistically analyzed whether there was a significant correlation between the patient record data and the COVID-19 pandemic, and our main findings reinforced by the use of a multivariable logistic regression were that older age (Odds Ratio [OR] = 1.03, 95% Confidence Interval [CI] = 1.03-1.04, p-value (p) <0.001), an initial symptom of shortness of breath (OR = 1.88, 95% CI = 1.60-2.20, p < 0.001), and the presence of comorbidities, mainly chronic kidney disease (OR = 2.41, 95% CI = 1.67-3.48, p < 0.001) are related to an increased risk of mortality from COVID-19. On the other hand, sore throat (OR = 0.74, 95% CI = 0.58-0.95, p = 0.02) and length of hospital stay (OR = 0.96, 95% CI = 0.58-0.95, p < 0.001) are more related to a reduced risk of mortality from COVID-19. Moreover, a multivariable linear regression conducted with statistically significant variables (p < 0.05) showed that age (OR = 0.97, 95% CI = 0.95-0.98, p < 0.001) and time from diagnosis to definitive outcome (OR = 1.67, 95% CI = 1.64-1.71, p < 0.001) are associated with the length of hospital stay.

  • Nonlocal dispersal of dengue in the state of Bahia
    Marcio Luis Valença Araújo, José Garcia Vivas Miranda, Renelson Sampaio, Marcelo A. Moret, Raphael S. Rosário, and Hugo Saba

    Elsevier BV

  • Self-affinity and self-organized criticality applied to the relationship between the economic arrangements and the dengue fever spread in Bahia
    A.S. Nascimento Filho, M.L.V. Araújo, J.G.V. Miranda, T.B. Murari, H. Saba, and M.A. Moret

    Elsevier BV

  • Relevance of transportation to correlations among criticality, physical means of propagation, and distribution of dengue fever cases in the state of Bahia
    Hugo Saba, Marcelo A. Moret, Florisneide R. Barreto, Marcio Luis Valença Araújo, Eduardo Manuel F. Jorge, Aloisio S. Nascimento Filho, and Jose Garcia Vivas Miranda

    Elsevier BV