Literature DB >> 18035777

The use of Geographical Information System (GIS) to improve active leprosy case finding campaigns in the municipality of Mossoró, Rio Grande do Norte State, Brazil.

Márcia Célia Freitas De Souza Dias1, Gutemberg Henrique Dias, Maurício Lisboa Nobre.   

Abstract

There is a high incidence of leprosy in the municipality of Mossor6, Rio Grande do Norte state, where the detection coefficient has risen from 2.78/10,000 population in 1998 to 5.14 in 2004. While cases have been registered throughout the urban area, the disease is concentrated in select neighbourhoods. This study was undertaken using Geographical Information System (GIS) with the objective of defining low-cost, effective strategies to control leprosy. The land registry map of the city, Ikonos satellite images and the SINAN (National Morbidity Notification Information System) database were used as the cartographical basis for the study. The sample for the leprosy mapping was drawn from the 358 new cases of the disease diagnosed in the municipality between 1998 and 2002. The houses of 281 patients were located (78.5% of the total) and their addresses geo-referenced using a GPS handheld device. Subsequently, geographical analysis was carried out using ArcView 9.0 software showing predominant concentration of cases in the neighbourhoods of Barrocas, Santo Antônio, Bom Jardim and Paredões. This mapping served as the basis for four active case finding campaigns conducted in the most highly concentrated areas between March and September of 2005. Campaigns guided by spatial analysis led to the diagnosis of 104 new cases of the disease (50% of the total number of new cases detected in the municipality in 2005). The use of GIS in leprosy diagnosis has shown to be extremely effective, providing a clear visual understanding of the distribution of the disease in the municipality, which results in targeted interventions and important cost reductions in leprosy control activities.

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Year:  2007        PMID: 18035777

Source DB:  PubMed          Journal:  Lepr Rev        ISSN: 0305-7518            Impact factor:   0.537


  13 in total

Review 1.  A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies.

Authors:  A K Lyseen; C Nøhr; E M Sørensen; O Gudes; E M Geraghty; N T Shaw; C Bivona-Tellez
Journal:  Yearb Med Inform       Date:  2014-08-15

2.  Human migration, railways and the geographic distribution of leprosy in Rio Grande do Norte State--Brazil.

Authors:  Mauricio Lisboa Nobre; Kathryn Margaret Dupnik; Paulo José Lisboa Nobre; Márcia Célia Freitas De Souza; Nádia Cristina Dűppre; Euzenir Nunes Sarno; Selma Maria Bezerra Jerŏnimo
Journal:  Lepr Rev       Date:  2015-12       Impact factor: 0.537

3.  Geographic information systems and applied spatial statistics are efficient tools to study Hansen's disease (leprosy) and to determine areas of greater risk of disease.

Authors:  José Wilton Queiroz; Gutemberg H Dias; Maurício Lisboa Nobre; Márcia C De Sousa Dias; Sérgio F Araújo; James D Barbosa; Pedro Bezerra da Trindade-Neto; Jenefer M Blackwell; Selma M B Jeronimo
Journal:  Am J Trop Med Hyg       Date:  2010-02       Impact factor: 2.345

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Review 5.  Applications of Space Technologies to Global Health: Scoping Review.

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6.  Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review.

Authors:  McEwen Khundi; James R Carpenter; Marriott Nliwasa; Ted Cohen; Elizabeth L Corbett; Peter MacPherson
Journal:  BMJ Open       Date:  2021-07-13       Impact factor: 2.692

7.  Active surveillance of Hansen's Disease (leprosy): importance for case finding among extra-domiciliary contacts.

Authors:  Maria L N Moura; Kathryn M Dupnik; Gabriel A A Sampaio; Priscilla F C Nóbrega; Ana K Jeronimo; Jose M do Nascimento-Filho; Roberta L Miranda Dantas; Jose W Queiroz; James D Barbosa; Gutemberg Dias; Selma M B Jeronimo; Marcia C F Souza; Maurício L Nobre
Journal:  PLoS Negl Trop Dis       Date:  2013-03-14

8.  Spatial analysis spotlighting early childhood leprosy transmission in a hyperendemic municipality of the Brazilian Amazon region.

Authors:  Josafá Gonçalves Barreto; Donal Bisanzio; Layana de Souza Guimarães; John Stewart Spencer; Gonzalo M Vazquez-Prokopec; Uriel Kitron; Claudio Guedes Salgado
Journal:  PLoS Negl Trop Dis       Date:  2014-02-06

9.  Spatial epidemiology and serologic cohorts increase the early detection of leprosy.

Authors:  Josafá Gonçalves Barreto; Donal Bisanzio; Marco Andrey Cipriani Frade; Tania Mara Pires Moraes; Angélica Rita Gobbo; Layana de Souza Guimarães; Moisés Batista da Silva; Gonzalo M Vazquez-Prokopec; John Stewart Spencer; Uriel Kitron; Claudio Guedes Salgado
Journal:  BMC Infect Dis       Date:  2015-11-16       Impact factor: 3.090

10.  Spatial patterns of leprosy in a hyperendemic state in Northern Brazil, 2001-2012.

Authors:  Lorena Dias Monteiro; Francisco Rogerlândio Martins-Melo; Aline Lima Brito; Carlos Henrique Alencar; Jorg Heukelbach
Journal:  Rev Saude Publica       Date:  2015-11-24       Impact factor: 2.106

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