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

The Scientific World Journal

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