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The risk of malaria infection for travelers visiting the Brazilian Amazonian region: A mathematical modeling approach.
Massad, Eduardo; Laporta, Gabriel Zorello; Conn, Jan Evelyn; Chaves, Leonardo Suveges; Bergo, Eduardo Sterlino; Figueira, Elder Augusto Guimarães; Bezerra Coutinho, Francisco Antonio; Lopez, Luis Fernandez; Struchiner, Claudio; Sallum, Maria Anice Mureb.
Afiliação
  • Massad E; Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
  • Laporta GZ; Setor de Pós-graduação, Pesquisa e Inovação, Centro Universitário Saúde ABC, Fundação do ABC, Santo André, SP, Brazil.
  • Conn JE; Wadsworth Center, New York State Department of Health, Albany, NY, USA.
  • Chaves LS; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brazil.
  • Bergo ES; Superintendência de Controle de Endemias, Secretaria de Estado da Saúde de São Paulo, Araraquara, SP, Brazil.
  • Figueira EAG; Fundação de Vigilância em Saúde do Amazonas, Manaus, AM, Brazil.
  • Bezerra Coutinho FA; Faculdade de Medicina, Universidade de São Paulo e LIM01-HCFMUSP, SP, Brazil.
  • Lopez LF; Faculdade de Medicina, Universidade de São Paulo e LIM01-HCFMUSP, SP, Brazil.
  • Struchiner C; Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
  • Sallum MAM; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brazil. Electronic address: masallum@usp.br.
Travel Med Infect Dis ; 37: 101792, 2020.
Article em En | MEDLINE | ID: mdl-32771653
ABSTRACT

BACKGROUND:

Human mobility between malaria endemic and malaria-free areas can hinder control and elimination efforts in the Amazon basin, maintaining Plasmodium circulation and introduction to new areas.

METHODS:

The analysis begins by estimating the incidence of malaria in areas of interest. Then, the risk of infection as a function of the duration of stay after t0 was calculated as the number of infected travelers over the number of arrived travelers. Differential equations were employed to estimate the risk of nonimmune travelers acquiring malaria in Amazonian municipalities. Risk was calculated as a result of the force of the infection in terms of local dynamics per time of arrival and duration of visit.

RESULTS:

Maximum risk occurred at the peak or at the end of the rainy season and it was nonlinearly (exponentially) correlated with the fraction of infected mosquitoes. Relationship between the risk of malaria and duration of visit was linear and positively correlated. Relationship between the risk of malaria and the time of arrival in the municipality was dependent on local effects of seasonality.

CONCLUSIONS:

The risk of nonimmune travelers acquiring malaria is not negligible and can maintain regional circulation of parasites, propagating introductions in areas where malaria has been eliminated.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasmodium / Doença Relacionada a Viagens / Malária Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Travel Med Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plasmodium / Doença Relacionada a Viagens / Malária Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limite: Animals / Humans País/Região como assunto: America do sul / Brasil Idioma: En Revista: Travel Med Infect Dis Assunto da revista: DOENCAS TRANSMISSIVEIS Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil