Geographical heterogeneity in the analysis of factors associated with leprosy in an endemic area of Brazil: are we eliminating the disease?

BMC Infectious Diseases

Research Article

Reinaldo Souza-Santos¹  Geraldo Marcelo da Cunha²  Mônica Duarte-Cunha³ 

[1] Department of Endemic Diseases Samuel Pessoa, National School of Public Health Oswaldo Cruz Foundation, Rua Leopoldo Bulhões, 1480, 21041-210, Rio de Janeiro, Rio de Janeiro, Brazil;Department of Epidemiology, National School of Public Health Oswaldo Cruz Foundation, Rua Leopoldo Bulhões, 1480, 21041-210, Rio de Janeiro, Rio de Janeiro, Brazil;Department of Health Surveillance, Municipal Health Secretariat, Duque de Caxias, Rua James Franco, 3, 25215-260, Duque de Caxias, Rio de Janeiro, Brazil;

关键词: Leprosy;    Epidemiology;    Disease control;   

DOI  :  10.1186/s12879-015-0924-x

 received in 2014-12-08, accepted in 2015-04-01,  发布年份 2015

来源: Springer

【 摘 要 】

BackgroundThe leprosy transmission chain is very complex and, in order to intervene in this transmission, more must be known about the factors linked to falling ill. There are doubts as to the influence of population size, population density and the disease’s magnitude in detection rate trends. This paper aimed to identify factors associated with detection of leprosy in an endemic municipality of Rio de Janeiro State, Brazil.MethodsThis ecological study in Duque de Caxias municipality, Rio de Janeiro State, Brazil, used neighbourhoods (bairros) as the unit of analysis. Selecting new cases of leprosy detected from 1998 to 2006, the analysis examined clinical, socioeconomic and service variables using a Poisson log-Normal model.ResultsIn the municipality overall, 2572 new cases were detected, a rate of 3.70 cases/10,000 inhabitants. The results describe a heterogeneous distribution of cases and rates in the municipality. The final model displayed a significant association with indeterminate clinical form (β = 2.599), proportion of homes with running water (β = -2.334) and presence of a decentralised health care unit (β = 0.524).ConclusionAlthough the results indicate progress towards elimination of the disease in the municipality, high rates continue to be detected in municipal sub-regions. The following question can thus be posed: over how wide a geographical area could the disease be thoroughly eliminated, given this heterogeneity within a small municipality?

【 授权许可】

CC BY   
© Duarte-Cunha et al.; licensee BioMed Central. 2015

【 图 表 】

Fig. 1