Identification of Urban Leprosy Clusters
Joint Authors
Paschoal, José Antonio Armani
Paschoal, Vania Del’Arco
Nardi, Susilene Maria Tonelli
Rosa, Patrícia Sammarco
Ismael, Manuela Gallo y Sanches
Sichieri, Eduvaldo Paulo
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-30
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Paschoal, José Antonio Armani& Paschoal, Vania Del’Arco& Nardi, Susilene Maria Tonelli& Rosa, Patrícia Sammarco& Ismael, Manuela Gallo y Sanches& Sichieri, Eduvaldo Paulo. 2013. Identification of Urban Leprosy Clusters. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1011731
Modern Language Association (MLA)
Paschoal, José Antonio Armani…[et al.]. Identification of Urban Leprosy Clusters. The Scientific World Journal No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-1011731
American Medical Association (AMA)
Paschoal, José Antonio Armani& Paschoal, Vania Del’Arco& Nardi, Susilene Maria Tonelli& Rosa, Patrícia Sammarco& Ismael, Manuela Gallo y Sanches& Sichieri, Eduvaldo Paulo. Identification of Urban Leprosy Clusters. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-1011731
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011731