Leprosy diagnosis in municipalities other than the patients' place of residence: spatial analysis, 2001-2009

Morais de Alencar, Carlos Henrique, Ramos Jr., Alberto Novaes, de Sena Neto, Sebastiao Alves, Murto, Christine, Freitas de Alencar, Maria de Jesus, Barbosa, Jaqueline Caracas, and Heukelbach, Jorg (2012) Leprosy diagnosis in municipalities other than the patients' place of residence: spatial analysis, 2001-2009. Cadernos de Saude Publica, 28 (9). pp. 1685-1698.

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Abstract

The study analyzed the flow of persons with leprosy from their municipality (county) of residence to that of their diagnosis in a highly endemic area in Brazil. The study was based on data from the National Information System for Notifiable Diseases from 2001 to 2009 in the States of Maranhao, Para, Tocantins, and Piaui. Of the 373 municipalities, 349 (93.6%) had at least one resident with leprosy that had been diagnosed in a different municipality (4,325 cases, or 5.2% of the total). The municipalities with the most cases reported elsewhere were Timon (248) and Sao Jose de Ribamar (201), Maranhao State. The municipalities that received the most exogenous cases for diagnosis were Sao Luis (719.), capital of Maranhao, and Teresina (516), capital of Piaui. Goiania (146), capital of Goias, and the Federal District (42) also reported numerous cases, even though they are located more than 1,000km from the endemic area. The flow indicates gaps in the decentralization of comprehensive care for persons with leprosy and calls attention to the difficulties associated with patient monitoring during and after multidrug therapy.

Item ID: 25491
Item Type: Article (Research - C1)
ISSN: 1678-4464
Keywords: leprosy, geographic information systems, internal migration
Additional Information:

Paper is written in Portuguese. Open access to publication at publisher website.

Date Deposited: 13 Mar 2013 05:28
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1117 Public Health and Health Services > 111706 Epidemiology @ 50%
11 MEDICAL AND HEALTH SCIENCES > 1108 Medical Microbiology > 110801 Medical Bacteriology @ 50%
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920299 Health and Support Services not elsewhere classified @ 50%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920499 Public Health (excl. Specific Population Health) not elsewhere classified @ 50%
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