Deforestation, drainage network, indigenous status, and geographical differences of malaria in the State of Amazonas

Malaria Journal

Research

José Ueleres Braga¹  Rosemary Costa Pinto²  Wagner Cosme Morhy Terrazas²  Bernardino Cláudio de Albuquerque²  Vanderson de Souza Sampaio²  Ricardo Augusto dos Passos²  Megumi Sadahiro²  Daniel Barros de Castro³ 

[1] Escola Nacional de Saúde Pública Sergio Arouca, FIOCRUZ, Rio de Janeiro, Brazil;Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil;PVS PECTI-SAÚDE/Fundação de Amparo à Pesquisa do Estado do Amazonas (FAPEAM), Manaus, Amazonas, Brazil;Fundação de Vigilância em Saúde do Amazonas, Manaus, Brazil;Fundação de Vigilância em Saúde do Amazonas, Manaus, Brazil;Escola Nacional de Saúde Pública Sergio Arouca, FIOCRUZ, Rio de Janeiro, Brazil;

关键词: Malaria;    Deforestation;    Drainage network;    Indigenous status;    Brazilian Amazon;   

DOI  :  10.1186/s12936-015-0859-0

 received in 2015-06-11, accepted in 2015-08-22,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundMalaria is a major public health problem worldwide. In Brazil, an average of 420,000 cases of malaria have been reported annually in the last 12 years, of which 99.7 % occurred in the Amazon region. This study aimed to analyse the distribution of malaria in the State of Amazonas and the influence of indigenous malaria in this scenario, to evaluate the correlation between incidence rates and socio-economic and environmental factors, and to evaluate the performance of health surveillance services.MethodsThis ecological study used secondary data obtained from the SIVEP-MALARIA malaria surveillance programme. The relationship between demographic, socio-economic and environmental factors, the performance of health surveillance services and the incidence of malaria in Amazonas, a multiple linear regression model was used.ResultsThe crude rate of malaria in Amazonas was 4142.72 cases per 100,000 inhabitants between 2003 and 2012. The incidence rates for the indigenous and non-indigenous populations were 12,976.02 and 3749.82, respectively, with an indigenous population attributable fraction of only 8 %. The results of the linear regression analysis indicated a negative correlation between the two socio-economic indicators (municipal human development index (MHDI) and poverty rate) and the incidence of malaria in the period. With regard to the environmental indicators (average annual deforestation rate and percentage of areas under the influence of watercourses), the correlation with the incidence rate was positive.ConclusionsThe findings underscore the importance of implementing economic and social development policies articulated with strategic actions of environmental protection and health care for the population.

【 授权许可】

CC BY   
© Terrazas et al. 2015