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A method for estimating the deforestation timeline in rural settlements in a scenario of malaria transmission in frontier expansion in the Amazon Region
Ilacqua, Roberto Cardoso; Chaves, Leonardo Suveges Moreira; Bergo, Eduardo Sterlino; Conn, Jan E; Sallum, Maria Anice Mubeb; Laporta, Gabriel Zorello.
Affiliation
  • Ilacqua, Roberto Cardoso; Faculdade de Medicina do ABC. Setor de Pós-Graduação, Pesquisa e Inovação. Santo André. BR
  • Chaves, Leonardo Suveges Moreira; Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Epidemiologia. São Paulo. BR
  • Bergo, Eduardo Sterlino; Secretaria de Estado da Saúde de São Paulo. Superintendência de Controle de Endemias. Araraquara. BR
  • Conn, Jan E; The Wadsworth Center. New York State Department of Health. Slingerlands. US
  • Sallum, Maria Anice Mubeb; Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Epidemiologia. São Paulo. BR
  • Laporta, Gabriel Zorello; Faculdade de Medicina do ABC. Setor de Pós-Graduação, Pesquisa e Inovação. Santo André. BR
Mem. Inst. Oswaldo Cruz ; 113(9): e170522, 2018. tab, graf
Article de En | LILACS | ID: biblio-955127
Bibliothèque responsable: BR1.1
ABSTRACT
The Malaria Frontier Hypothesis (MFH) is the current model for predicting malaria emergence in the Brazilian Amazon. It has two important dimensions, 'settlement time' and 'malaria incidence', and its prediction are malaria incidence peaks five years after the initiation of human settlement and declines towards zero after an estimated 10 years. Although MFH is currently accepted, it has been challenged recently. Herein, we described a novel method for estimating settlement timeline by using remote sensing technology integrated in an open-software geographic information system. Surprisingly, we found that of the majority of the rural settlements with high malaria incidence are more than 10 years old.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: LILACS Sujet principal: Systèmes d'information géographique / Paludisme Type d'étude: Prognostic_studies Limites: Humans Pays/Région comme sujet: America do sul / Brasil Langue: En Journal: Mem. Inst. Oswaldo Cruz Sujet du journal: MEDICINA TROPICAL / PARASITOLOGIA Année: 2018 Type de document: Article / Project document Pays d'affiliation: Brésil / États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: LILACS Sujet principal: Systèmes d'information géographique / Paludisme Type d'étude: Prognostic_studies Limites: Humans Pays/Région comme sujet: America do sul / Brasil Langue: En Journal: Mem. Inst. Oswaldo Cruz Sujet du journal: MEDICINA TROPICAL / PARASITOLOGIA Année: 2018 Type de document: Article / Project document Pays d'affiliation: Brésil / États-Unis d'Amérique
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