Geoinformation and geospatial analyzes of leprosy cases from internet

Authors

  • Richarde Marques da Silva
  • Charlinton Ferreira da Costa
  • Alexandro Medeiros Silva

Keywords:

Geotechnologies, leprosy, Health Geography

Abstract

The objective of this paper is to identify clusters of the major occurrences of leprosy and their associated socio-environmental problems in the Bayeux, Paraiba State, Northeastern Brazil. Cases of leprosy that occurred between 2001 and 2015 in Bayeux were geocodified and the detection rates in all neighbors were calculated. Use of Geographic Information Systems (GIS) performed to identify major socio-environmental problems in the municipality of Bayeux. Use of Inverse Distance Weighting interpolation method created thematic maps to visualize the spatial distribution of the incidence of leprosy. The results showed that registered cases were found distributed in all neighborhoods, and its most significant presence in the neighborhoods Centro (54 cases – 19,29%), Imaculada (40 cases – 14,29%), Alto da Boa Vista (30 cases – 10,71%), Rio do Meio (28 cases – 10%), São Bento ( 26 cases – 9,29%) and Sesi (23 cases – 8,21%). The study of the spatial distribution of leprosy using GIS techniques proved to be effective and valuable to mapping of cases in the Bayeux and for for understanding the epidemiological and to help the actions in order to block the spread of the disease.

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Issue

Vol. 22 (2018)

Section

Artículos

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