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Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study.
Laporta, Gabriel Z; Ilacqua, Roberto C; Bergo, Eduardo S; Chaves, Leonardo S M; Rodovalho, Sheila R; Moresco, Gilberto G; Figueira, Elder A G; Massad, Eduardo; de Oliveira, Tatiane M P; Bickersmith, Sara A; Conn, Jan E; Sallum, Maria Anice M.
Afiliação
  • Laporta GZ; Setor de Pós-Graduação, Pesquisa e Inovação, Centro Universitário Saúde ABC (FMABC), Fundação ABC, Santo André, SP, Brazil. gabriel.laporta@fmabc.br.
  • Ilacqua RC; Setor de Pós-Graduação, Pesquisa e Inovação, Centro Universitário Saúde ABC (FMABC), Fundação ABC, Santo André, SP, Brazil.
  • Bergo ES; Superintendência de Controle de Endemias (SUCEN), Secretaria de Estado da Saúde de São Paulo, Araraquara, SP, Brazil.
  • Chaves LSM; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo (FSP-USP), São Paulo, SP, Brazil.
  • Rodovalho SR; Unidade Técnica de Doenças Transmissíveis e Análise de Situação em Saúde, Pan American Health Organization (PAHO/WHO), Brasília, DF, Brazil.
  • Moresco GG; Coordenação-Geral de Vigilância de Zoonoses e Doenças de Transmissão Vetorial, Secretaria de Vigilância em Saúde, Ministério da Saúde (MS), Brasília, DF, Brazil.
  • Figueira EAG; Fundação de Vigilância em Saúde do Amazonas, Manaus, AM, Brazil.
  • Massad E; Escola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, RJ, Brazil.
  • de Oliveira TMP; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo (FSP-USP), São Paulo, SP, Brazil.
  • Bickersmith SA; New York State Department of Health, The Wadsworth Center, Slingerlands, NY, USA.
  • Conn JE; New York State Department of Health, The Wadsworth Center, Slingerlands, NY, USA.
  • Sallum MAM; Department of Biomedical Sciences, School of Public Health, State University of New York, Albany, NY, USA.
Sci Rep ; 11(1): 6477, 2021 03 19.
Article em En | MEDLINE | ID: mdl-33742028
ABSTRACT
The relationship between deforestation and malaria is a spatiotemporal process of variation in Plasmodium incidence in human-dominated Amazonian rural environments. The present study aimed to assess the underlying mechanisms of malarial exposure risk at a fine scale in 5-km2 sites across the Brazilian Amazon, using field-collected data with a longitudinal spatiotemporally structured approach. Anopheline mosquitoes were sampled from 80 sites to investigate the Plasmodium infection rate in mosquito communities and to estimate the malaria exposure risk in rural landscapes. The remaining amount of forest cover (accumulated deforestation) and the deforestation timeline were estimated in each site to represent the main parameters of both the frontier malaria hypothesis and an alternate scenario, the deforestation-malaria hypothesis, proposed herein. The maximum frequency of pathogenic sites occurred at the intermediate forest cover level (50% of accumulated deforestation) at two temporal deforestation peaks, e.g., 10 and 35 years after the beginning of the organization of a settlement. The incidence density of infected anophelines in sites where the original forest cover decreased by more than 50% in the first 25 years of settlement development was at least twice as high as the incidence density calculated for the other sites studied (adjusted incidence density ratio = 2.25; 95% CI, 1.38-3.68; p = 0.001). The results of this study support the frontier malaria as a unifying hypothesis for explaining malaria emergence and for designing specific control interventions in the Brazilian Amazon.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Mosquitos Vetores / Malária / Anopheles Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Conservação dos Recursos Naturais / Mosquitos Vetores / Malária / Anopheles Idioma: En Ano de publicação: 2021 Tipo de documento: Article