Academic literature on the topic 'Geocoding[9]'

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Journal articles on the topic "Geocoding[9]"

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STRESMAN, G. H., J. C. STEVENSON, C. OWAGA, et al. "Validation of three geolocation strategies for health-facility attendees for research and public health surveillance in a rural setting in western Kenya." Epidemiology and Infection 142, no. 9 (2014): 1978–89. http://dx.doi.org/10.1017/s0950268814000946.

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SUMMARYUnderstanding the spatial distribution of disease is critical for effective disease control. Where formal address networks do not exist, tracking spatial patterns of clinical disease is difficult. Geolocation strategies were tested at rural health facilities in western Kenya. Methods included geocoding residence by head of compound, participatory mapping and recording the self-reported nearest landmark. Geocoding was able to locate 72·9% [95% confidence interval (CI) 67·7–77·6] of individuals to within 250 m of the true compound location. The participatory mapping exercise was able to c
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Fisher, Jared A., Maya Spaur, Ian D. Buller, et al. "Spatial Heterogeneity in Positional Errors: A Comparison of Two Residential Geocoding Efforts in the Agricultural Health Study." International Journal of Environmental Research and Public Health 18, no. 4 (2021): 1637. http://dx.doi.org/10.3390/ijerph18041637.

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Geocoding is a powerful tool for environmental exposure assessments that rely on spatial databases. Geocoding processes, locators, and reference datasets have improved over time; however, improvements have not been well-characterized. Enrollment addresses for the Agricultural Health Study, a cohort of pesticide applicators and their spouses in Iowa (IA) and North Carolina (NC), were geocoded in 2012–2016 and then again in 2019. We calculated distances between geocodes in the two periods. For a subset, we computed positional errors using “gold standard” rooftop coordinates (IA; N = 3566) or Glo
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Kaplan, henry G., Molly Scannell Bryan, Xiaohan Hu, et al. "Census tract–level social determinants of health and variability in stage at diagnosis of bladder, breast, and non-small cell lung cancers." Journal of Clinical Oncology 42, no. 16_suppl (2024): 11170. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.11170.

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11170 Background: Social determinants of health (SDOH) can identify underserved populations, inform the patient journey, and identify opportunities to improve outcomes. In cancer, SDOH may influence stage at diagnosis through exposure to risk factors for aggressive cancer and decreased access to care. However, privacy restrictions can limit research with SDOH in real world datasets, which often only know a patient’s broad location. Methods: Geocoding was undertaken on addresses of patients diagnosed between 1/1/17 and 9/30/22 with bladder (n=6078), breast (n=28,958), and non-small cell lung ca
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Troncoso Espinosa, Fredy Humberto, and Nicolás Esteban Fernández Rozas. "Limpieza, corrección y geocodificación de grandes bases de direcciones utilizando minería de texto." Universidad Ciencia y Tecnología 25, no. 109 (2021): 80–87. http://dx.doi.org/10.47460/uct.v25i109.451.

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Para la georreferenciación de un gran número de direcciones, es necesaria la previa geocodificación mediante sistemas de carácter público o privado. La geocodificación no es una ciencia exacta porque las direcciones generalmente son escritas y almacenadas por personas, lo que provoca diferentes problemas de precisión en el registro, como errores ortográficos, datos innecesarios o falta de datos mínimos. Para enfrentar este problema, en este artículo se describe una metodología que limpia y corrige las direcciones optimizando el proceso de geocodificación utilizando los sistemas existentes. Par
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Hartanto, Susi. "PEMBARUAN UI/UX ZALORA UNTUK PENINGKATAN PENGALAMAN MARKETPLACE SELLER & CUSTOMER." Jurnal Da Moda 4, no. 1 (2022): 21–28. http://dx.doi.org/10.35886/damoda.v4i1.414.

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To improve the shopping experience for customers, and provide better selling experience services for marketplace sellers, as of 2021-2022, Zalora updated the UI/UX on the Zalora platform and seller center. There are 8 additional features that are considered to help sellers and customers interact better: 1) Seller Rating Information; 2) There are new payment methods, especially pay later; 3) Payment method improvement; 4) Account verification via email and cellphone number; 5) Address input via geocoding; 6) Voucher in PDV; 7) Zalora Interactive Store; 8) Loyalty Programs; and 9) Z-Live.
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Barry Born, Theo. "Proactive state geographies: Geocoded intelligence in London’s ‘suburban shanty towns’." Environment and Planning D: Society and Space 39, no. 4 (2021): 609–26. http://dx.doi.org/10.1177/02637758211030925.

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This article draws on an ethnographic approach to concrete institutional practices and machine learning algorithms to analyse emergent proactive state geographies in London’s suburbs. The article assesses predictive modelling in housing enforcement in respect of the government of migrant housing precarity in the interstices of rentier and racial capitalism. The article develops two central contentions concerning these proactive state geographies. First, relations between geopolitics, the racialisation of urban space and algorithms need to be situated in relation to institutional state prosaics
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Nafieva, E. N., and A. V. Grechishchev. "CREATION OF A DIGITAL ELENATION MODEL BY THE METHOD OF RADAR INTERFEROMETRY." ECOLOGY ECONOMY INFORMATICS. GEOINFORMATION TECHNOLOGIES AND SPACE MONITORING 2, no. 5 (2020): 96–103. http://dx.doi.org/10.23885/2500-123x-2020-2-5-96-103.

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The article discusses the experience of applying the technique of constructing a digital elevation model (DEM) by the method of radar interferometry using Sentinel-1A / 1B data on the territory of the Amur region near the city of Svobodny in June 2019. The presented method, which consists of 9 main stages, is implemented in the PHOTOMOD Radar software package. The stages of processing include: loading the initial data and converting them into the internal format of the program; creating a project for processing and combining images of an interferometric pair (recalculating the raster of the au
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Milleville, Kenzo, Steven Verstockt, and Nico Van de Weghe. "Automatic Georeferencing of Topographic Raster Maps." ISPRS International Journal of Geo-Information 11, no. 7 (2022): 387. http://dx.doi.org/10.3390/ijgi11070387.

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In recent years, many scientific institutions have digitized their collections, which often include a large variety of topographic raster maps. These raster maps provide accurate (historical) geographical information but cannot be integrated directly into a geographical information system (GIS) due to a lack of metadata. Additionally, the text labels on the map are usually not annotated, making it inefficient to query for specific toponyms. Manually georeferencing and annotating the text labels on these maps is not cost-effective for large collections. This work presents a fully automated geor
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Finkel, Deborah, Ida Karlsson, Malin Ericsson, Tom Russ, Anna Dahl Aslan, and Nancy L. Pedersen. "Twin Similarity for Neighborhood, Geographic Mobility, and Health Outcomes in Late Adulthood." Innovation in Aging 5, Supplement_1 (2021): 245–46. http://dx.doi.org/10.1093/geroni/igab046.948.

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Abstract Socioeconomic status (SES) is one of the most robust predictors of health. The source of SES-health associations is heavily debated; one approach is investigating neighborhood-level environmental characteristics. Challenges include selection effects and the possibility of reverse causation: people choose their neighborhoods. Longitudinal twin research can overcome these issues by assessing location choice over time as well as twin similarity; however, few existing twin studies have incorporated neighborhood-level data, and none of those focus on aging. Using longitudinal data from the
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Thompson, Caroline A., Mindy DeRouen, Su-Ying Liang, et al. "Abstract PR08: Linking electronic health records with cancer registry data for epidemiology and health services research: Challenges and opportunities." Cancer Epidemiology, Biomarkers & Prevention 29, no. 9_Supplement (2020): PR08. http://dx.doi.org/10.1158/1538-7755.modpop19-pr08.

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Abstract Background: There is tremendous potential to leverage the value from electronic health records (EHRs) and population-based cancer registry data by integrating them to study the cancer continuum from screening to diagnosis and treatment. Registries provide detailed diagnosis and tumor characteristics and initial treatment summaries (even across health care systems), while EHRs contain rich clinical detail such as medical histories and preventive screenings. Moreover, to the extent that EHR systems may be comparable across health care systems, pooling EHRs from multiple health care syst
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Books on the topic "Geocoding[9]"

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Press, Editors of ESRI. Geocoding in ArcGIS: ArcGIS 9 (Arcgis 9). Esri Press, 2004.

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Book chapters on the topic "Geocoding[9]"

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Marrouch, Natasza, and Blair T. Johnson. "Geocoding." In Measurement in Social Psychology. Routledge, 2018. http://dx.doi.org/10.4324/9780429452925-9.

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"Lexicons, Entity Extraction, and Geocoding." In Data Mining Methods for the Content Analyst. Routledge, 2012. http://dx.doi.org/10.4324/9780203149386-9.

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Rastegar-Mojarad Majid, Bales Michael E., and Yu Hong. "ResearcherMap: A Tool for Visualizing Author Locations Using Google Maps." In Studies in Health Technology and Informatics. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-289-9-1187.

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We hereby present ResearcherMap, a tool to visualize locations of authors of scholarly papers. In response to a query, the system returns a map of author locations. To develop the system we first populated a database of author locations, geocoding institution locations for all available institutional affiliation data in our database. The database includes all authors of Medline papers from 1990 to 2012. We conducted a formative heuristic usability evaluation of the system and measured the system's accuracy and performance. The accuracy of finding the accurate address is 97.5% in our system.
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Chung, Lau Tiu, Lau Bee Theng, and H. Lee Seldon. "An Android Mobile-Based Environmental Health Information Source for Malaysian Context." In Social Media and Mobile Technologies for Healthcare. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6150-9.ch011.

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An anticipated research activity in healthcare is the involvement of populations and social media to identify health problems, including environmental ones. In this chapter, the authors propose an Android mobile-based system for collection and targeted distribution of the latest alerts and real-time environmental factors to the Malaysian population. This mobile system is designed to facilitate and encourage research into environmental health quality issues by providing a comprehensive tracking and monitoring tool correlated to social media networks. This system is embedded with Google Maps and
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