Mapping leprosy patients and notification rates is an important first step in identifying priority areas for targeted interventions and monitoring and evaluating leprosy control programmes. A geographic information system (GIS) is a computer system designed to capture, store, manipulate, analyze, manage, and present all types of geographical data. A GIS can be used to study the spatial distribution of leprosy patients, identify risk areas and areas for special interventions, to monitor interventions and to improve access to care. By creating this dossier we want to emphasize on the importance of the use of GIS in leprosy control and stimulates leprosy control programmes and other organisations to use it.

Please contact Mirjam Bakker or Infolep for further information.

Overview of key publications:
Barreto JG, Bisanzio D, Guimarães Lde S, Spencer JS, Vazquez-Prokopec GM, Kitron U, Salgado CG. Spatial analysis spotlighting early childhood leprosy transmission in a hyperendemic municipality of the Brazilian Amazon region. PLoS Negl Trop Dis. 2014 Feb 6;8(2):e2665.

Cury MR, Paschoal VD, Nardi SM, Chierotti AP, Rodrigues Júnior AL, Chiaravalloti-Neto F.Spatial analysis of leprosy incidence and associated socioeconomic factors. Rev Saude Publica. 2012 Feb;46(1):110-8. Epub 2011 Dec 20.

De Souza Dias MC, Dias GH, Nobre ML. 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. Lepr Rev. 2007 Sep;78(3):261-9.

Queiroz JW, Dias GH, Nobre ML, De Sousa Dias MC, Araújo SF, Barbosa JD, Bezerra da Trindade-Neto P, Blackwell JM, Jeronimo SM. 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. Am J Trop Med Hyg. 2010 Feb;82(2):306-14.

Alencar CH, Ramos AN Jr, dos Santos ES, Richter J, Heukelbach J. Clusters of leprosy transmission and of late diagnosis in a highly endemic area in Brazil: focus on different spatial analysis approaches. Trop Med Int Health. 2012 Apr;17(4):518-25.

Cardona-Castro N, Beltrán-Alzate JC, Romero-Montoya IM, Li W, Brennan PJ, Vissa V. Mycobacterium leprae in Colombia described by SNP7614 in gyrA, two minisatellites and geography. Infect Genet Evol. 2013 Mar;14:375-82.

Bakker MI, Scheelbeek PF, Van Beers SM. The use of GIS in leprosy control. Lepr Rev. 2009 Sep;80(3):327-31.

Bakker MI, Hatta M, Kwenang A, Faber WR, van Beers SM, Klatser PR, Oskam L. Population survey to determine risk factors for Mycobacterium leprae transmission and infection. Int J Epidemiol. 2004 Dec;33(6):1329-36. Epub 2004 Jul 15.

Overview of other relevant publications

Related organization(s):