Human migration and the spread of malaria in Brazil

Marques, Agostinho Cruz

doi:10.1016/0169-4758(87)90170-0

Cited by 145 publications

(124 citation statements)

References 7 publications

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“…Possible explanations for this phenomenon include the effect of higher temperatures on the development of the parasite in the mosquito (11) and the increase in the vector density related to manmade secondary larval breeding sites (12). However, we found no relationship in the Lower-Napo area between malaria incidence and either rainfall or temperature.…”

Section: Discussioncontrasting

confidence: 53%

Epidemiology of malaria in the Amazon basin of Ecuador

M¹,

Játiva²,

Goicolea³

2000

Rev Panam Salud Publica

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Section: Discussioncontrasting

confidence: 53%

Epidemiology of malaria in the Amazon basin of Ecuador

M¹,

Játiva²,

Goicolea³

2000

Rev Panam Salud Publica

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“…In addition, the Bayesian model here proposed suggests that the number of inhabitants per km 2 and the HDI index have some association with the number of malaria cases. The growing population in the Brazilian Amazon region is associated with human migration motivated by new agricultural settlements and informal mines (garimpos) 31 that promote environmental changes and contribute to the spread of malaria. The association of malaria with the HDI index and poverty was also discussed in a recent article 32 , which argued that the North and Northeast regions of Brazil have the lowest HDI indexes and the highest rates of neglected tropical diseases.…”

Section: Discussionmentioning

confidence: 99%

Use of Poisson spatiotemporal regression models for the Brazilian Amazon Forest: malaria count data

Achcar

Martinez

Souza

et al. 2011

Rev. Soc. Bras. Med. Trop.

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Introduction: Malaria is a serious problem in the Brazilian Amazon region, and the detection of possible risk factors could be of great interest for public health authorities. The objective of this article was to investigate the association between environmental variables and the yearly registers of malaria in the Amazon region using Bayesian spatiotemporal methods. Methods: We used Poisson spatiotemporal regression models to analyze the Brazilian Amazon forest malaria count for the period from 1999 to 2008. In this study, we included some covariates that could be important in the yearly prediction of malaria, such as deforestation rate. We obtained the inferences using a Bayesian approach and Markov Chain Monte Carlo (MCMC) methods to simulate samples for the joint posterior distribution of interest. The discrimination of different models was also discussed. Results: The model proposed here suggests that deforestation rate, the number of inhabitants per km 2 , and the human development index (HDI) are important in the prediction of malaria cases. Conclusions: It is possible to conclude that human development, population growth, deforestation, and their associated ecological alterations are conducive to increasing malaria risk. We conclude that the use of Poisson regression models that capture the spatial and temporal effects under the Bayesian paradigm is a good strategy for modeling malaria counts.

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“…O número de criadouros de mosquito aumenta significativamente e o contacto entre o homem e o mosquito torna-se mais intenso. Exemplos de associação entre malária e meio ambiente na Amazônia incluem áreas de garimpo (SCHMINK, 1985;COIMBRA JR., 1988;ARON;PATZ, 2001) e projetos de infra-estrutura (FEARNSIDE, 1989;IÑIGUEZ ROJAS;TOLEDO, 1998;FEARNSIDE, 1999;GUIMARÃES et al, 2004), além de projetos de assentamento (MARQUES, 1987;SINGER;CASTRO, 2001).…”

Section: Meio Ambiente E Maláriaunclassified

“…Além disso, importantes e significativas transformações ecológicas foram observadas (desmatamento, construção de estradas e hidrelétricas, etc. ), contribuindo para um crítico aumento do número de casos de malária (COIMBRA, 1985;MARQUES, 1987).…”

Section: Expansão Da Fronteira Amazônica E Incidência De Maláriaunclassified

Meio ambiente e saúde: metodologia para análise espacial da ocorrência de malária em projetos de assentamento

Castro¹,

Singer²

2007

Rev. bras. estud. popul.

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IntroduçãoA malária é provavelmente tão antiga quanto a espécie humana, porém sua etiologia só foi descoberta no final do século XIX. Em 1898, Ronald Ross provou que o vetor de transmissão era o mosquito. Alguns anos antes, em 1880, Charles-Louis-Alphonse Laveran foi o primeiro a identificar o parasita da malária no microscópio (DESOWITZ, 1991). Em 1820, o quinino começou a ser produzido em larga escala, permanecendo como única droga para tratamento da malária por cerca de 110 anos (BOYD, 1949; JARCHO; TORTI, 1993). Em 1905, Carlos Chagas estabeleceu a importância das condições da habitação para a transmissão da doença, sugerindo o uso de telas e a fumigação das casas pelo vapor de enxofre (CHAGAS, 1934;SILVEIRA;REZENDE, 2001). Pela primeira vez foi caracterizado o conceito de malária como doença domiciliar, raramente adquirida no exterior do domicílio, e foi adotada medida visando a eliminação do mosquito transmissor (DEANE, 1986). Em 1940 Paul Müller patenteou o DDTque permite eliminar mosquitos presentes no interior de domicílios através da borrifação (DESOWITZ, 1991). Com base nesse conhecimento adquirido desde o final do

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Human migration and the spread of malaria in Brazil

Cited by 145 publications

References 7 publications

Epidemiology of malaria in the Amazon basin of Ecuador

Epidemiology of malaria in the Amazon basin of Ecuador

Use of Poisson spatiotemporal regression models for the Brazilian Amazon Forest: malaria count data

Meio ambiente e saúde: metodologia para análise espacial da ocorrência de malária em projetos de assentamento

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