Epidemiological characteristics and spatial analysis of leprosy cases in an endemic municipality
DOI:
https://doi.org/10.15253/2175-6783.20192041257Keywords:
Leprosy; Epidemiology; Spatial Analysis.Abstract
Objective: to analyze the epidemiological characteristics and spatial distribution of leprosy cases in an endemic municipality. Methods: epidemiological, retrospective study with spatial analysis techniques developed with data from the National System of Compulsory Notification. Leprosy cases were georeferenced using a Geographic Positioning System receiver for the spatial location of the households. Spatial analysis was performed by the Kernel method. Results: one hundred new cases of leprosy were reported, and there was predominance of males and patients with low education. The Virchowian clinical form was predominant (32.0%) and 48.0% of the cases presented some degree of disability at the time of diagnosis. There was an increasing temporal trend in the detection rate. The spatial analysis identified critical areas for occurrence of leprosy, which was concentrated in the urban area (71.0%). Conclusion: the municipality presented high endemicity for leprosy, with heterogeneous distribution of cases and risk cluster in the urban area.
References
Araújo AERA, Aquino DMC, Goulart IMB, Pereira SRF, Figueiredo IA, Serra HO, et al. Neural complications and physical disabilities in leprosy in a capital of northeastern Brazil with high endemicity. Rev Bras Epidemiol. 2014; 17(4):899-910. doi: http://doi.org/10.1590/1809-4503201400040009
Ministério da Saúde (BR). Secretaria de Vigilância em Saúde. Boletim Epidemiológico: Hanseníase [Internet]. 2018 [citado 2019 mai. 14]. Disponível em: http://portalarquivos2.saude.gov.br/images/pdf/2018/janeiro/31/2018-004-Hanseniase-publicacao.pdf
Moreira RS, Costa JS, Moreira-Junior VT, Góes MAO. Temporal trend of leprosy in Aracaju, Sergipe, Brazil. Rev Epidemiol Controle Infec. 2019; 9(1):67-74. doi: https://doi.org/10.17058/reci.v9i1.11957
Santana EMF, Brito KKG, Soares MJGO. Estado da arte na Hanseníase: revisão integrativa em três periódicos brasileiros de impacto internacional. Hansen Int [Internet]. 2016 [citado 2019 mai. 14]; 41(1-2):84-98. Disponível em: http://www.ilsl.br/revista/detalhe_artigo.php?id=12782
Silva MC. Sistemas de Informações Geográficas na Identificação de Doenças e Epidemias. Tekhne Logos [Internet]. 2017 [citado 2019 mai. 18]; 8(4)94-106. Disponível em: http://www.fatecbt.edu.br/seer/index.php/tl/article/view/511
Antunes JLF, Cardoso MRA. Uso da análise de séries temporais em estudos epidemiológicos. Epidemiol Serv Saúde. 2015; 24(3)565-76. doi: http://doi.org/10.5123/S1679-49742015000300024
World Health Organization. International statistical classification of diseases and related health problems [Internet]. 2016 [cited Feb 10, 2019]. Available from: http://apps.who.int/classifications/icd10/browse/2016/en
Instituto Brasileiro de Geografia e Estatística. Cidades e estados [Internet]. 2019 [citado 2019 jan. 10]. Disponível em: https://www.ibge.gov.br/cidades-e-estados/se/simao-dias.html?.
Ministério da Saúde (BR). Datasus - Departamento de Informática do SUS. Informações de Saúde [Internet]. 2017 [citado 2019 jan. 30]. Disponível em:http://tabnet.datasus.gov.br/cgi/deftohtm.exe?sim/cnv/obt10se.def
Google Developers. Google maps geocoding API [Internet]. 2016 [cited Jan 27, 2019]. Available from: https://developers.google.com/maps/documentation/geocoding
Rocha J, Henriques C. A importância da análise espacial na reconstituição da oferta educativa em Portugal. Interacções. 2014; (28):21-30. doi: https://doi.org/10.25755/int.3909
Ribeiro MDA, Silva JCA, Oliveira SB. Estudo epidemiológico da hanseníase no Brasil: reflexão sobre as metas de eliminação. Rev Panam Salud Publica. 2018; 42. doi: https://doi.org/10.26633/RPSP.2018.42
Silva GAS, Oliveira CMG. O registro das doenças de notificação compulsória: a participação dos profissionais da saúde e da comunidade. Rev Epidemiol Controle Infec. 2014; 4(3):215-20. doi: https://doi.org/10.17058/reci.v4i3.4578
Quaresma MSM, Souza LSC, Silva FBM, Pontes CDN, Silva YJA. Perfil clínico e epidemiológico dos pacientes portadores de hanseníase em uma unidade de referência no estado do Pará. Rev Eletr Acervo Saúde. 2019; 18(18):269. doi: https://doi.org/10.25248/reas.e269.2019
Santos AD, Santos MB, Barreto AS, Carvalho DS, Alves JAB, Araújo KCGM. Spatial analysis and epidemiological characteristics of cases of leprosy in an endemic area. Rev Enferm UFPE online [Internet]. 2016 [cited Feb 13, 2019; 10(5):4188-97. Available from: https://periodicos.ufpe.br/revistas/revistaenfermagem/article/view/11163/12689
Dadun D, Peters RHM, Van Brakel WH, Bunders JGF, Irwanto I, Regeer BJ. Assessing the impact of the twin track socio-economic intervention on reducing leprosy-related stigma in Cirebon district, Indonesia. Int J Eviron Res Public Health. 2019; 16(3):349. doi: http://doi.org/10.3390/ijerph16030349
Brito AL, Monteiro LD, Ramos Junior AN, Heukelbach J, Alencar CH. Tendência temporal da hanseníase em uma capital do Nordeste do Brasil: epidemiologia e análise por pontos de inflexão, 2001 a 2012. Rev Bras Epidemiol. 2016; 19(1):194-204. doi: http://dx.doi.org/10.1590/1980-5497201600010017
World Health Organization. Global leprosy strategy 2016-2020: accelerating towards a leprosy-free world [Internet]. 2016 [cited Jan 15, 2019]. Available from: http://www.searo.who.int/entity/global_leprosy_programme/documents/global_leprosy_strategy_2020/en/
Araújo KMFA, Leano HAM, Rodrigues RN, Bueno IC, Lana FCF. Epidemiological trends of leprosy in an endemic state. Rev Rene. 2017; 18(6):771-8. doi: https://doi.org/10.15253/2175-6783.2017000600010
Cunha MHCM, Silvestre MPSA, Silva AR, Rosário AAS, Xavier MB. Fatores de risco em contatos intradomiciliares de pacientes com hanseníase utilizando variáveis clínicas, sociodemográficas e laboratoriais. Rev Pan-Amaz Saúde. 2017; 8(2):23-30. doi: http://dx.doi.org/10.5123/s2176-62232017000200003
