@article{32664,
  keywords = {leprosy, Spatial analysis, Information Systems, Ecological studies, Spatial distribution, Brazil},
  author = {Souza CDF and Santos FGB and Marques CS and Leal TC and Paiva JPS and Araújo EMCF},
  title = {Spatial study of leprosy in Bahia, Brazil, 2001-2012: an approach based on the local empirical Bayesian model.},
  abstract = {<p><strong>OBJECTIVE: </strong>to compare the temporal evolution and spatial distribution of epidemiological indicators of leprosy, both crude and also corrected using the empirical Bayesian model, Bahia, Brazil, 2001-2012.</p>

<p><strong>METHODS: </strong>this was an ecological study using data from the Notifiable Diseases Information System; all 417 municipalities in Bahia were included and the following indicators per 100,000 inhabitants were analyzed - detection rate of new cases in the general population, in those &lt;15 years old, and in those with grade 2 physical disability -; the local empirical Bayesian model was used to smoothen the indicators, and Student's t-test was used to compare means.</p>

<p><strong>RESULTS: </strong>indicators estimated by the model were higher than crude indicators; estimated detection rates in the general population and in those &lt;15 years old were higher than crude rates in 253 (60.7%) and 209 (50.1%) municipalities, respectively; areas of greatest risk were concentrated in the northwestern and southern regions of the state.</p>

<p><strong>CONCLUSION: </strong>spatial distribution of the disease was heterogeneous and there was possible underreporting of cases.</p>
},
  year = {2018},
  journal = {Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil},
  volume = {27},
  pages = {e2017479},
  issn = {2237-9622},
  url = {http://www.scielo.br/pdf/ress/v27n4/en_2237-9622-ress-27-04-e2017479.pdf},
  doi = {10.5123/S1679-49742018000400013},
  language = {eng},
}