ArticleInternational journal of health geographics2011
Development of spatial density maps based on geoprocessing web services: application to tuberculosis incidence in Barcelona, Spain.
Article in International journal of health geographics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.International journal of health geographics · 2018Pooled it
- Methods used in the spatial analysis of tuberculosis epidemiology: a systematic review.BMC medicine · 2018Pooled it
- Visualization and analytics tools for infectious disease epidemiology: a systematic review.Journal of biomedical informatics · 2014Pooled it
- Spatio-Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection.GeoHealth · 2024Article
- Geospatial distribution and predictive modeling of onchocerciasis in Ogun State, Nigeria.PloS one · 2023Article
- Spatio-temporal co-occurrence of hotspots of tuberculosis, poverty and air pollution in Lima, Peru.Infectious diseases of poverty · 2020Article
- Online Advanced Analytical Service: Profiles for Dengue Hemorrhagic Fever Transmission in Southern Thailand.Iranian journal of public health · 2019Article
- Spatiotemporal epidemiology of, and factors associated with, the tuberculosis prevalence in northern China, 2010-2014.BMC infectious diseases · 2019Article
- Men's health: non-communicable chronic diseases and social vulnerability.Revista latino-americana de enfermagem · 2016Article
- Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam.SpringerPlus · 2016Article
- Managing and monitoring tuberculosis using web-based tools in combination with traditional approaches.Clinical epidemiology · 2013Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealth 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.
methodsData 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.
resultsThe 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.
conclusionsIn 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.