Density and local attribute estimation of an infectious disease using MapInfo

Atkinson, Phil; Unwin, David

doi:10.1016/s0098-3004(02)00026-2

Cited by 26 publications

(23 citation statements)

References 19 publications

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“…Total data volume, size of data transfer packets, or processing complexity in time or space were cited in a few studies [28, 29, 82, 87]. These articles suggested the use of data warehousing and caching as possible approaches to address processing time related issues, noting that it takes time to calculate statistical values for use in infectious disease mapping.…”

Section: Resultsmentioning

confidence: 99%

Visualization and analytics tools for infectious disease epidemiology: A systematic review

Carroll

Detwiler

et al. 2014

Journal of Biomedical Informatics

203

171

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Background A myriad of new tools and algorithms have been developed to help public health professionals analyze and visualize the complex data used in infectious disease control. To better understand approaches to meet these users' information needs, we conducted a systematic literature review focused on the landscape of infectious disease visualization tools for public health professionals, with a special emphasis on geographic information systems (GIS), molecular epidemiology, and social network analysis. The objectives of this review are to: (1) Identify public health user needs and preferences for infectious disease information visualization tools; (2) Identify existing infectious disease information visualization tools and characterize their architecture and features; (3) Identify commonalities among approaches applied to different data types; and (4) Describe tool usability evaluation efforts and barriers to the adoption of such tools. Methods We identified articles published in English from January 1, 1980 to June 30, 2013 from five bibliographic databases. Articles with a primary focus on infectious disease visualization tools, needs of public health users, or usability of information visualizations were included in the review. Results A total of 88 articles met our inclusion criteria. Users were found to have diverse needs, preferences and uses for infectious disease visualization tools, and the existing tools are correspondingly diverse. The architecture of the tools was inconsistently described, and few tools in the review discussed the incorporation of usability studies or plans for dissemination. Many studies identified concerns regarding data sharing, confidentiality and quality. Existing tools offer a range of features and functions that allow users to explore, analyze, and visualize their data, but the tools are often for siloed applications. Commonly cited barriers to widespread adoption included lack of organizational support, access issues, and misconceptions about tool use. Discussion and Conclusion As the volume and complexity of infectious disease data increases, public health professionals must synthesize highly disparate data to facilitate communication with the public and inform decisions regarding measures to protect the public's health. Our review identified several themes: consideration of users' needs, preferences, and computer literacy; integration of tools into routine workflow; complications associated with understanding and use of visualizations; and the role of user trust and organizational support in the adoption of these tools. Interoperability also emerged as a prominent theme, highlighting challenges associated with the increasingly collaborative and interdisciplinary nature of infectious disease control and prevention. Future work should address methods for representing uncertainty and missing data to avoid misleading users as well as strategies to minimize cognitive overload.

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Section: Resultsmentioning

confidence: 99%

Visualization and analytics tools for infectious disease epidemiology: A systematic review

Carroll

Detwiler

et al. 2014

Journal of Biomedical Informatics

203

171

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“…One of the most basic methods of exploring spatial incidence data is 2D kernel density estimation (Atkinson & Unwin, 2002;Silverman, 1986). This produces an unadjusted risk mapping that makes no assumption about the underlying …”

Section: Teenage Conception Risk Mappingmentioning

confidence: 99%

Social Marketing and Public Health

Petersen¹

2017

Oxford Medicine Online

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“…Hence, some method of hot spot detection and visualization involving GIS is usually deployed. In this case study, kernel density estimation (KDE; Silverman 1986) was used, run in MapInfo TM using the MapBasic TM utility of Atkinson and Unwin (2002). Use of KDE is common among police analysts (Innes, Fielding, and Cope 2005;Weir and Bangs 2007), and reviews of different mapping methods (e.g., Chainey and Ratcliffe 2005) consider KDE the most suitable technique for visualizing point event crime data.…”

Section: A Case Study Of Satnav Theftmentioning

confidence: 99%

Did GIS Start a Crime Wave? SatNav Theft and Its Implications for Geo-Information Engineering

Brimicombe

2012

The Professional Geographer

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In-car satellite navigation systems (SatNavs) are among the first products based on geographic information systems to have widespread fashionable appeal. In the United Kingdom, portable versions that are easily installed on the dashboard or front windshield have become a popular vehicle accessory. As prices have fallen, demand has increased over the last few years to the point that SatNavs might soon achieve the ubiquity of in-car entertainment systems. The rise of popularity of SatNavs, however, has also brought with it increased vulnerability to vehicle crime. Our analysis for the London borough of Newham shows a threefold increase in SatNav theft that occurred from 2005-2006 to 2006-2007. This is not limited to SatNavs being on display, but criminals also looking for the telltale signs of suction marks on the windshield indicating that a portable SatNav might be in the glove compartment or trunk of the car. A geographical analysis of these crime data is presented. Whereas the geo-engineering has focused on improving real-time visualization of position and articulation of navigational instructions, the product engineering as a portable accessory has insufficiently addressed the social implications of vulnerability in a high-crime society, the consequence being a focused acquisitive crime wave. Key Words: crime, geo-information engineering, routine activity, SatNav, spatial analysis, United Kingdom, urban geography.Los sistemas satelitales de navegación para carros (SatNavs) figuran entre los primeros productos basados en sistemas de información geográfica que han logrado una amplia aceptación como cosa de moda. En el Reino Unido las versiones portátiles que pueden instalarse fácilmente en el panel de control o en el parabrisas delantero del vehículo se han convertido en un accesorio muy popular. En tanto que los precios bajaban la demanda aumentó en losúltimos años hasta el punto de que pronto los SatNavs podrían llegar a ser ubicuos como sistemas de entretenimiento a bordo de los carros. El aumento de la popularidad de los SatNavs, sin embargo, también ha acarreado un incremento en vulnerabilidad para el crimen vehicular. Nuestro análisis del burgo londinense de Newham muestra un aumento del robo de SatNavs al triple en el lapso de 2005-2006 a 2006-2007. Esta acción criminal no se limita a los SatNavs visibles sino que los criminales también están en alerta por indicios como las marcas de succión del parabrisas que indican la posible existencia de un SatNav portátil en la guantera o en el baúl del carro. El estudio presenta un análisis geográfico de estos datos de

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Density and local attribute estimation of an infectious disease using MapInfo

Cited by 26 publications

References 19 publications

Visualization and analytics tools for infectious disease epidemiology: A systematic review

Visualization and analytics tools for infectious disease epidemiology: A systematic review

Social Marketing and Public Health

Did GIS Start a Crime Wave? SatNav Theft and Its Implications for Geo-Information Engineering

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