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Environmental and socioeconomic analysis of malaria transmission in the Brazilian Amazon, 2010-2015
Canelas, Tiago; Castillo-Salgado, Carlos; Baquero, Oswaldo Santos; Ribeiro, Helena.
  • Canelas, Tiago; Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Saúde Ambiental. São Paulo. BR
  • Castillo-Salgado, Carlos; Johns Hopkins University. Johns Hopkins Bloomberg School of Public Health. Baltimore. US
  • Baquero, Oswaldo Santos; Universidade de São Paulo. Faculdade de Medicina Veterinária e Zootecnia. Departamento de Medicina Veterinária Preventiva e Saúde Animal. São Paulo. BR
  • Ribeiro, Helena; Universidade de São Paulo. Faculdade de Saúde Pública. Departamento de Saúde Ambiental. São Paulo. BR
Rev. saúde pública (Online) ; 53: 49, jan. 2019. tab, graf
Article in English | LILACS | ID: biblio-1004511
ABSTRACT
ABSTRACT OBJECTIVE To analyze the environmental and socioeconomic risk factors of malaria transmission at municipality level, from 2010 to 2015, in the Brazilian Amazon. METHODS The municipalities were stratified into high, moderate, and low transmission based on the annual parasite incidence. A multinomial logistic regression that compared low with medium transmission and low with high transmission was performed. For each category, three models were analyzed one only with socioeconomic risk factors (Gini index, illiteracy, number of mines and indigenous areas); a second with the environmental factors (forest coverage and length of the wet season); and a third with all covariates (full model). RESULTS The full model showed the best performance. The most important risks factors for high transmission were Gini index, length of the wet season and illiteracy, OR 2.06 (95%CI 1.19-3.56), 1.73 (95%CI 1.19-2.51) and 1.10 (95%CI 1.03-1.17), respectively. The medium transmission showed a weaker influence of the risk factors, being illiteracy, forest coverage and indigenous areas statistically significant but with marginal influence. CONCLUSIONS As a disease of poverty, the reduction in wealth inequalities and, therefore, health inequalities, could reduce the transmission considerably. Besides, environmental risk factors as length of the wet season should be considered in the planning, prevention and control. Municipality-level and fine-scale analysis should be done together to improve the knowledge of the local dynamics of transmission.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Forests / Disease Transmission, Infectious / Malaria Type of study: Etiology study / Incidence study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. saúde pública (Online) Journal subject: Sa£de P£blica Year: 2019 Type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Johns Hopkins University/US / Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Forests / Disease Transmission, Infectious / Malaria Type of study: Etiology study / Incidence study / Prognostic study / Risk factors Limits: Humans Country/Region as subject: South America / Brazil Language: English Journal: Rev. saúde pública (Online) Journal subject: Sa£de P£blica Year: 2019 Type: Article Affiliation country: Brazil / United States Institution/Affiliation country: Johns Hopkins University/US / Universidade de São Paulo/BR