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Function: insertAPISummary
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Geocoding is the science and process of assigning geographical coordinates (i.e. latitude, longitude) to a postal address. The quality of the geocode can vary dramatically depending on several variables, including incorrect input address data, missing address components, and spelling mistakes. A dataset with a considerable number of geocoding inaccuracies can potentially result in an imprecise analysis and invalid conclusions. There has been little quantitative analysis of the amount of effort (i.e. time) to perform geocoding correction, and how such correction could improve geocode quality type. This study used a low-cost and easy to implement method to improve geocode quality type of an input database (i.e. addresses to be matched) through the processes of manual geocode intervention, and it assessed the amount of effort to manually correct inaccurate geocodes, reported the resulting match rate improvement between the original and the corrected geocodes, and documented the corresponding spatial shift by geocode quality type resulting from the corrections. Findings demonstrated that manual intervention of geocoding resulted in a 90% improvement of geocode quality type, took 42 hours to process, and the spatial shift ranged from 0.02 to 151,368 m. This study provides evidence to inform research teams considering the application of manual geocoding intervention that it is a low-cost and relatively easy process to execute.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5978681 | PMC |
http://dx.doi.org/10.4081/gh.2017.526 | DOI Listing |
Int J Hyg Environ Health
December 2024
Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.
Background: Little is known about the association between air pollution and self-perceived health (including both health-related quality of life [HRQoL] and self-rated health [SRH]). The aim of this study was therefore to explore whether long-term air pollution exposure is associated with worse self-perceived health, as measured by different tools.
Methods: We used a land-use regression model to determine the annual average levels of particulate matter with a diameter <10 μm (PM), coarse particles (PM), fine particles (PM), fine particle absorbances (PM), particle number concentration (PNC), ozone (O), nitrogen dioxide (NO), and nitrogen oxide (NO) for geocoded residential addresses (2014-2015).
PLoS One
December 2024
Department of Bacteriology, Pasteur Institute of Iran, Tehran, Iran.
Background: Carbapenem-resistant Acinetobacter baumannii (CRAB) is of critical concern in healthcare settings, leading to limited treatment options. In this study, we conducted a comprehensive meta-analysis to assess the prevalence of CRAB by examining temporal, geographic, and bias-related variations.
Methods: We systematically searched prominent databases, including Scopus, PubMed, Web of Science, and EMBASE.
Child Dev
December 2024
Fordham University, New York, New York, USA.
Crime impacts both the immediate victims and has indirect effects on the community. This study examined associations between daily neighborhood crime and actigraphy-assessed sleep outcomes using multilevel modeling. Data were from a longitudinal (14-day) study of 288 adolescents (M = 15.
View Article and Find Full Text PDFObstet Gynecol
December 2024
Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Boston, Massachusetts; and the Program in Public Health, the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern Library Geospatial and Data Services, and the Division of General Internal Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Objective: To evaluate the association between area poverty and adverse birth outcomes in the diverse birthing population of a large health system.
Methods: This was a retrospective cohort study using electronic health record and hospital administrative data for pregnant people at nine hospitals within a large health system in the Chicago metropolitan area from 2018 to 2023. Patient addresses were geocoded and categorized by Census tract area percent poor households.
Eye (Lond)
December 2024
Department of Ophthalmology, Scheie Eye Institute, University of Pennsylvania, Philadelphia, PA, USA.
Background/objectives: Glaucoma is the leading cause of irreversible blindness, disproportionately affecting individuals of African ancestry. Limited research has examined the impact of neighbourhood quality and socioeconomic factors on primary open-angle glaucoma (POAG) risk in this population. This study aims to address these gaps by evaluating associations between ocular health and neighbourhood characteristics using geospatial data.
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