Evidence map›Paper›PMID 26789994›Full record

ArticleJournal of preventive medicine and hygiene2015

Geocoding health data with Geographic Information Systems: a pilot study in northeast Italy for developing a standardized data-acquiring format.

T Baldovin, D Zangrando, P Casale, F Ferrarese, C Bertoncello, A Buja, A Marcolongo, V Baldo

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Article in Journal of preventive medicine and hygiene, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

T BaldovinDepartment of Molecular Medicine, Institute of Hygiene, Laboratory of Public Health and Population Studies, University of Padua, Italy;
D ZangrandoDepartment of Molecular Medicine, Institute of Hygiene, Laboratory of Public Health and Population Studies, University of Padua, Italy;
P CasaleAzienda ULSS 18 Rovigo, Veneto Region, Rovigo, Italy;
F FerrareseDepartment of Historical and Geographic Sciences and the Ancient World, University of Padua, Italy.
C BertoncelloDepartment of Molecular Medicine, Institute of Hygiene, Laboratory of Public Health and Population Studies, University of Padua, Italy;
A BujaDepartment of Molecular Medicine, Institute of Hygiene, Laboratory of Public Health and Population Studies, University of Padua, Italy;
A MarcolongoAzienda ULSS 18 Rovigo, Veneto Region, Rovigo, Italy;
V BaldoDepartment of Molecular Medicine, Institute of Hygiene, Laboratory of Public Health and Population Studies, University of Padua, Italy;

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGeographic Information Systems (GIS) have become an innovative and somewhat crucial tool for analyzing relationships between public health data and environment. This study, though focusing on a Local Health Unit of northeastern Italy, could be taken as a benchmark for developing a standardized national data-acquiring format, providing a step-by-step instructions on the manipulation of address elements specific for Italian language and traditions.

methodsGeocoding analysis was carried out on a health database comprising 268,517 records of the Local Health Unit of Rovigo in the Veneto region, covering a period of 10 years, starting from 2001 up to 2010. The Map Service provided by the Environmental Research System Institute (ESRI, Redlands, CA), and ArcMap 10.0 by ESRI(®) were, respectively, the reference data and the GIS software, employed in the geocoding process.

resultsThe first attempt of geocoding produced a poor quality result, having about 40% of the addresses matched. A procedure of manual standardization was performed in order to enhance the quality of the results, consequently a set of guiding principle were expounded which should be pursued for geocoding health data. High-level geocoding detail will provide a more precise geographic representation of health related events.

conclusionsThe main achievement of this study was to outline some of the difficulties encountered during the geocoding of health data and to put forward a set of guidelines, which could be useful to facilitate the process and enhance the quality of the results. Public health informatics represents an emerging specialty that highlights on the application of information science and technology to public health practice and research. Therefore, this study could draw the attention of the National Health Service to the underestimated problem of geocoding accuracy in health related data for environmental risk assessment.

Indexed as

Data matchingEnvironment and Public HealthGeographic Information Systems

Identifiers

PMID26789994
PMCPMC4718356

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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.