Identification of Urban Leprosy Clusters
Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
---|---|
Data(s) |
19/11/2013
19/11/2013
2013
|
Resumo |
Overpopulation of urban areas results from constant migrations that cause disordered urban growth, constituting clusters defined as sets of people or activities concentrated in relatively small physical spaces that often involve precarious conditions. Aim. Using residential grouping, the aim was to identify possible clusters of individuals in São José do Rio Preto, Sao Paulo, Brazil, who have or have had leprosy. Methods. A population-based, descriptive, ecological study using the MapInfo and CrimeStat techniques, geoprocessing, and space-time analysis evaluated the location of 425 people treated for leprosy between 1998 and 2010. Clusters were defined as concentrations of at least 8 people with leprosy; a distance of up to 300 meters between residences was adopted. Additionally, the year of starting treatment and the clinical forms of the disease were analyzed. Results. Ninety-eight (23.1%) of 425 geocoded cases were located within one of ten clusters identified in this study, and 129 cases (30.3%) were in the region of a second-order cluster, an area considered of high risk for the disease. Conclusion.This study identified ten clusters of leprosy cases in the city and identified an area of high risk for the appearance of new cases of the disease. The authors wish to thank “National Counsel of Technological and Scientific Development” (CNPq) for the support received; the librarian, Rosangela Kavanami, for assistance with the references; David A. Hewitt for the English version; and all employees of the “Hansen Project” for their valuable help in collecting data. |
Identificador |
The ScientificWorld Journal, Cairo, 2013 http://www.producao.usp.br/handle/BDPI/43367 10.1155/2013/219143 |
Idioma(s) |
eng |
Publicador |
Hindawi Publishing Corporation Cairo |
Relação |
The ScientificWorld Journal |
Direitos |
openAccess http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
Tipo |
article original article publishedVersion |