Literature DB >> 17294029

Geoprocessing in health area.

Paula Hino1, Tereza Cristina Scatena Villa, Cinthia Midori Sassaki, Jordana de Almeida Nogueira, Claudia Benedita dos Santos.   

Abstract

The map's usage and the concerns about geographic distribution related with diseases are not a recent issue. A classical example is the John Snow survey -maps were used to locate cholera's cases and related them with the water supplying. The spatial representation techniques are fewer used in health sectors due to troubles in managing such information. So, the aim of this survey was to establish the disease spatial distribution in Ribeirão Preto, 2002. Secondary data were used to elaborate this study. The spatial distribution of cases was realized by using the MapInfo 7.8 software. Although many cases were concentrated in the northeast region in the city, which consists the quarters of low economical income. The results contribute to show the Tb spatial distribution in Ribeirao Preto, they also reinforce the space category as a methodological alternative to manage, to monitor and to evaluate the health actions by directing interventions to decrease the iniquities.

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Year:  2006        PMID: 17294029     DOI: 10.1590/s0104-11692006000600016

Source DB:  PubMed          Journal:  Rev Lat Am Enfermagem        ISSN: 0104-1169


  2 in total

1.  Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.

Authors:  Debebe Shaweno; Malancha Karmakar; Kefyalew Addis Alene; Romain Ragonnet; Archie Ca Clements; James M Trauer; Justin T Denholm; Emma S McBryde
Journal:  BMC Med       Date:  2018-10-18       Impact factor: 8.775

2.  Spatiotemporal-based clusters as a method for dengue surveillance.

Authors:  Mayara Romero Canal; Elis Regina da Silva Ferreira; Cássia Fernanda Estofolete; Andréia Martiniano Dias; Caroline Tukasan; Ana Carolina Bertoque; Vitor Dantas Muniz; Maurício Lacerda Nogueira; Natal Santos da Silva
Journal:  Rev Panam Salud Publica       Date:  2017-12-12
  2 in total

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