Statistical Validation of a Web-Based GIS Application and Its Applicability to Cardiovascular-Related Studies

Lee, Jae Eun; Sung, Jung Hye; Malouhi, Mohamad

doi:10.3390/ijerph13010002

Cited by 12 publications

(3 citation statements)

References 29 publications

(29 reference statements)

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“…This technology can provide high-resolution environmental characteristics, and researchers could use this first-hand information to model contextual and environmental risk (e.g., air pollution) and protective factors (e.g., access to publicly open green and blue spaces). However, despite of Web-GIS potential for real-time data management, query, and visualization, it is surprising that this review has not found examples of web-based GIS applications in dementia, when there are successful examples of its use for other chronic diseases, such as cardiovascular [139], diabetes [140], or cancer [141].…”

Section: Discussionmentioning

confidence: 97%

The role of geographic information system and global positioning system in dementia care and research: a scoping review

et al. 2022

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Background Geographic Information System (GIS) and Global Positioning System (GPS), vital tools for supporting public health research, provide a framework to collect, analyze and visualize the interaction between different levels of the health care system. The extent to which GIS and GPS applications have been used in dementia care and research is not yet investigated. This scoping review aims to elaborate on the role and types of GIS and GPS applications in dementia care and research. Methods A scoping review was conducted based on Arksey and O’Malley’s framework. All published articles in peer-reviewed journals were searched in PubMed, Scopus, and Web of Science, subject to involving at least one GIS/GPS approach focused on dementia. Eligible studies were reviewed, grouped, and synthesized to identify GIS and GPS applications. The PRISMA standard was used to report the study. Results Ninety-two studies met our inclusion criteria, and their data were extracted. Six types of GIS/GPS applications had been reported in dementia literature including mapping and surveillance (n = 59), data preparation (n = 26), dementia care provision (n = 18), basic research (n = 18), contextual and risk factor analysis (n = 4), and planning (n = 1). Thematic mapping and GPS were most frequently used techniques in the dementia field. Conclusions Even though the applications of GIS/GPS methodologies in dementia care and research are growing, there is limited research on GIS/GPS utilization in dementia care, risk factor analysis, and dementia policy planning. GIS and GPS are space-based systems, so they have a strong capacity for developing innovative research based on spatial analysis in the area of dementia. The existing research has been summarized in this review which could help researchers to know the GIS/GPS capabilities in dementia research.

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Section: Discussionmentioning

confidence: 97%

The role of geographic information system and global positioning system in dementia care and research: a scoping review

et al. 2022

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“…This application was developed using publically accessible resources from US Census Bureau, Yahoo, Google, MapQuest, Microsoft, Street Smart WalkScore, and ESRI (ArcGIS, Esri, Redlands, CA, USA). Functions of the GIS application include geocoding, geo-referencing, abstracting US Census data, and deriving GIS variables for fast-food restaurant density, accessibility to health facilities and walkability [ 24 ].…”

Section: Strategic Approaches For Collaborationmentioning

confidence: 99%

Knowledge Management for Fostering Biostatistical Collaboration within a Research Network: The RTRN Case Study

Lee

Sung

Sarpong

et al. 2018

IJERPH

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Purpose: While the intellectual and scientific rationale for research collaboration has been articulated, a paucity of information is available on a strategic approach to facilitate the collaboration within a research network designed to reduce health disparities. This study aimed to (1) develop a conceptual model to facilitate collaboration among biostatisticians in a research network; (2) describe collaborative engagement performed by the Network’s Data Coordinating Center (DCC); and (3) discuss potential challenges and opportunities in engaging the collaboration. Methods: Key components of the strategic approach will be developed through a systematic literature review. The Network’s initiatives for the biostatistical collaboration will be described in the areas of infrastructure, expertise and knowledge management and experiential lessons will be discussed. Results: Components of the strategic approach model included three Ps (people, processes and programs) which were integrated into expert management, infrastructure management and knowledge management, respectively. Ongoing initiatives for collaboration with non-DCC biostatisticians included both web-based and face-to-face interaction approaches: Network’s biostatistical capacities and needs assessment, webinar statistical seminars, mobile statistical workshop and clinics, adjunct appointment program, one-on-one consulting, and on-site workshop. The outreach program, as a face-to-face interaction approach, especially resulted in a useful tool for expertise management and needs assessment as well as knowledge exchange. Conclusions: Although fostering a partnered research culture, sustaining senior management commitment and ongoing monitoring are a challenge for this collaborative engagement, the proposed strategies centrally performed by the DCC may be useful in accelerating the pace and enhancing the quality of the scientific outcomes within a multidisciplinary clinical and translational research network.

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“…A noteworthy GIS technique is the geocoding, which has enabled an innovative approach: associating places of residence or neighbourhood scale with health indicators and healthcare needs. Analysis at this scale has become a growing trend in several sectors of health and boosted geomedicine, the personalizing health [19,[27][28][29][30][31][32][33]. Geomedicine shows that health is a continuum and being in good health does not come by accident.…”

Section: Introductionmentioning

confidence: 99%

Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning

Morais¹,

Lopes²,

Rocha³

et al. 2022

Port J Public Health

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Introduction: In the context of climate emergency, advances in geographic information systems, geocoding, and geomedicine allow us to go beyond the conventional usual scales and be aligned with people’s needs, improving knowledge and accuracy of the spatial pattern of health outcomes. This study shows that the geographical scale of analysis affects the interpretation of health outcomes. Methods: All mortality that occurred in Portugal in 2014–2017 was geocoded. From 435,291 addresses, 412,608 were geocoded with success. As an example, we use the spatial patterns of the elderly’s heat-related cardiorespiratory mortality. Results: It is shown: (i) it is possible to have high quality and accuracy of spatial data used in health outcomes analysis; (ii) how geographic scales reveal different degrees of detail in health outcomes analysis; (iii) the neighbourhood scale revealed different patterns of cardiorespiratory mortality from the usually available scale (parish). Discussion: Our findings suggest the relevance of geocoding health outcomes with a finer scale in tackling the challenges of the healthcare sector, and in support of planning decision-making, closely matching citizens’ needs. Without running the risk of losing potentially major prospects, better healthcare management is achievable, with optimal resource allocation, and improved detailed and informed policymaking, allowing enhanced climate health equity in cities promotion.

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Statistical Validation of a Web-Based GIS Application and Its Applicability to Cardiovascular-Related Studies

Cited by 12 publications

References 29 publications

The role of geographic information system and global positioning system in dementia care and research: a scoping review

The role of geographic information system and global positioning system in dementia care and research: a scoping review

Knowledge Management for Fostering Biostatistical Collaboration within a Research Network: The RTRN Case Study

Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning

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