Int J Health Geogr - Development of spatial density maps based on geoprocessing web services: application to tuberculosis incidence in Barcelona, Spain.

Tópicos

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Resumo

CKGROUND: Health professionals and authorities strive to cope with heterogeneous data, services, and statistical models to support decision making on public health. Sophisticated analysis and distributed processing capabilities over geocoded epidemiological data are seen as driving factors to speed up control and decision making in these health risk situations. In this context, recent Web technologies and standards-based web services deployed on geospatial information infrastructures have rapidly become an efficient way to access, share, process, and visualize geocoded health-related information.METHODS: Data used on this study is based on Tuberculosis (TB) cases registered in Barcelona city during 2009. Residential addresses are geocoded and loaded into a spatial database that acts as a backend database. The web-based application architecture and geoprocessing web services are designed according to the Representational State Transfer (REST) principles. These web processing services produce spatial density maps against the backend database.RESULTS: The results are focused on the use of the proposed web-based application to the analysis of TB cases in Barcelona. The application produces spatial density maps to ease the monitoring and decision making process by health professionals. We also include a discussion of how spatial density maps may be useful for health practitioners in such contexts.CONCLUSIONS: In this paper, we developed web-based client application and a set of geoprocessing web services to support specific health-spatial requirements. Spatial density maps of TB incidence were generated to help health professionals in analysis and decision-making tasks. The combined use of geographic information tools, map viewers, and geoprocessing services leads to interesting possibilities in handling health data in a spatial manner. In particular, the use of spatial density maps has been effective to identify the most affected areas and its spatial impact. This study is an attempt to demonstrate how web processing services together with web-based mapping capabilities suit the needs of health practitioners in epidemiological analysis scenarios.

Resumo Limpo

ckground health profession author strive cope heterogen data servic statist model support decis make public health sophist analysi distribut process capabl geocod epidemiolog data seen drive factor speed control decis make health risk situat context recent web technolog standardsbas web servic deploy geospati inform infrastructur rapid becom effici way access share process visual geocod healthrel informationmethod data use studi base tuberculosi tb case regist barcelona citi residenti address geocod load spatial databas act backend databas webbas applic architectur geoprocess web servic design accord represent state transfer rest principl web process servic produc spatial densiti map backend databaseresult result focus use propos webbas applic analysi tb case barcelona applic produc spatial densiti map eas monitor decis make process health profession also includ discuss spatial densiti map may use health practition contextsconclus paper develop webbas client applic set geoprocess web servic support specif healthspati requir spatial densiti map tb incid generat help health profession analysi decisionmak task combin use geograph inform tool map viewer geoprocess servic lead interest possibl handl health data spatial manner particular use spatial densiti map effect identifi affect area spatial impact studi attempt demonstr web process servic togeth webbas map capabl suit need health practition epidemiolog analysi scenario

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