Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil

Dengue fever is currently the most important arthropod-borne viral disease in Brazil. Mathematical modeling of disease dynamics is a very useful tool for the evaluation of control measures. To be used in decision-making, however, a mathematical model must be carefully parameterized and validated with epidemiological and entomological data. In this work, we developed a simple dengue model to answer three questions: (i) which parameters are worth pursuing in the field in order to develop a dengue transmission model for Brazilian cities; (ii) how vector density spatial heterogeneity influences control efforts; (iii) with a degree of uncertainty, what is the invasion potential of dengue virus type 4 (DEN-4) in Rio de Janeiro city. Our model consists of an expression for the basic reproductive number (R0) that incorporates vector density spatial heterogeneity. To deal with the uncertainty regarding parameter values, we parameterized the model using a priori probability density functions covering a range of plausible values for each parameter. Using the Latin Hypercube Sampling procedure, values for the parameters were generated. We conclude that, even in the presence of vector spatial heterogeneity, the two most important entomological parameters to be estimated in the field are the mortality rate and the extrinsic incubation period. The spatial heterogeneity of the vector population increases the risk of epidemics and makes the control strategies more complex. At last, we conclude that Rio de Janeiro is at risk of a DEN-4 invasion. Finally, we stress the point that epidemiologists, mathematicians, and entomologists need to interact more to find better approaches to the measuring and interpretation of the transmission dynamics of arthropod-borne diseases.

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Main Authors: Luz,Paula Mendes, Codeço,Cláudia Torres, Massad,Eduardo, Struchiner,Claudio José
Format: Digital revista
Language:English
Published: Instituto Oswaldo Cruz, Ministério da Saúde 2003
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762003000700002
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spelling oai:scielo:S0074-027620030007000022004-01-07Uncertainties regarding dengue modeling in Rio de Janeiro, BrazilLuz,Paula MendesCodeço,Cláudia TorresMassad,EduardoStruchiner,Claudio José dengue modeling uncertainties vector density spatial heterogeneity control measures of arthropod-borne diseases Rio de Janeiro Brazil Dengue fever is currently the most important arthropod-borne viral disease in Brazil. Mathematical modeling of disease dynamics is a very useful tool for the evaluation of control measures. To be used in decision-making, however, a mathematical model must be carefully parameterized and validated with epidemiological and entomological data. In this work, we developed a simple dengue model to answer three questions: (i) which parameters are worth pursuing in the field in order to develop a dengue transmission model for Brazilian cities; (ii) how vector density spatial heterogeneity influences control efforts; (iii) with a degree of uncertainty, what is the invasion potential of dengue virus type 4 (DEN-4) in Rio de Janeiro city. Our model consists of an expression for the basic reproductive number (R0) that incorporates vector density spatial heterogeneity. To deal with the uncertainty regarding parameter values, we parameterized the model using a priori probability density functions covering a range of plausible values for each parameter. Using the Latin Hypercube Sampling procedure, values for the parameters were generated. We conclude that, even in the presence of vector spatial heterogeneity, the two most important entomological parameters to be estimated in the field are the mortality rate and the extrinsic incubation period. The spatial heterogeneity of the vector population increases the risk of epidemics and makes the control strategies more complex. At last, we conclude that Rio de Janeiro is at risk of a DEN-4 invasion. Finally, we stress the point that epidemiologists, mathematicians, and entomologists need to interact more to find better approaches to the measuring and interpretation of the transmission dynamics of arthropod-borne diseases.info:eu-repo/semantics/openAccessInstituto Oswaldo Cruz, Ministério da SaúdeMemórias do Instituto Oswaldo Cruz v.98 n.7 20032003-10-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762003000700002en10.1590/S0074-02762003000700002
institution SCIELO
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country Brasil
countrycode BR
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region America del Sur
libraryname SciELO
language English
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author Luz,Paula Mendes
Codeço,Cláudia Torres
Massad,Eduardo
Struchiner,Claudio José
spellingShingle Luz,Paula Mendes
Codeço,Cláudia Torres
Massad,Eduardo
Struchiner,Claudio José
Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil
author_facet Luz,Paula Mendes
Codeço,Cláudia Torres
Massad,Eduardo
Struchiner,Claudio José
author_sort Luz,Paula Mendes
title Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil
title_short Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil
title_full Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil
title_fullStr Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil
title_full_unstemmed Uncertainties regarding dengue modeling in Rio de Janeiro, Brazil
title_sort uncertainties regarding dengue modeling in rio de janeiro, brazil
description Dengue fever is currently the most important arthropod-borne viral disease in Brazil. Mathematical modeling of disease dynamics is a very useful tool for the evaluation of control measures. To be used in decision-making, however, a mathematical model must be carefully parameterized and validated with epidemiological and entomological data. In this work, we developed a simple dengue model to answer three questions: (i) which parameters are worth pursuing in the field in order to develop a dengue transmission model for Brazilian cities; (ii) how vector density spatial heterogeneity influences control efforts; (iii) with a degree of uncertainty, what is the invasion potential of dengue virus type 4 (DEN-4) in Rio de Janeiro city. Our model consists of an expression for the basic reproductive number (R0) that incorporates vector density spatial heterogeneity. To deal with the uncertainty regarding parameter values, we parameterized the model using a priori probability density functions covering a range of plausible values for each parameter. Using the Latin Hypercube Sampling procedure, values for the parameters were generated. We conclude that, even in the presence of vector spatial heterogeneity, the two most important entomological parameters to be estimated in the field are the mortality rate and the extrinsic incubation period. The spatial heterogeneity of the vector population increases the risk of epidemics and makes the control strategies more complex. At last, we conclude that Rio de Janeiro is at risk of a DEN-4 invasion. Finally, we stress the point that epidemiologists, mathematicians, and entomologists need to interact more to find better approaches to the measuring and interpretation of the transmission dynamics of arthropod-borne diseases.
publisher Instituto Oswaldo Cruz, Ministério da Saúde
publishDate 2003
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762003000700002
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