Special Issue "GIS in Healthcare"

Special Issue Editor

Prof. Dr. Fazlay S. Faruque
Website
Guest Editor
Department of Preventive Medicine, University of Mississippi Medical Center, 2500 North State Street Jackson, MS 39216-4505, USA
Interests: geospatial health; environmental health; landscape epidemiology; population health geography; geospatial health disparities; geospatial analysis of eco-social determinants; application of Earth observation resources in health studies
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Special Issue Information

Dear Colleagues,

The entire healthcare sector, including health businesses, academia, and policy makers, is facing a challenge to become more efficient by reducing costs while reaching out to a broader range of communities. GIS is a proven tool for improving efficiency and planning in different areas of healthcare. From non-critical applications, such as primary care or preventive care, to critical situations, such as emergency care or organ replacement, GIS is increasingly being utilized to develop better business models and make lifesaving decisions. This Special Issue of IJGI is expected to serve as a knowledge exchange platform presenting the latest advancements in GIS applications in a dynamic healthcare landscape.

We invite authors to submit original scientific papers on the application of geospatial technologies in healthcare including, but not limited to, the following topics: 

  • Catchment area;
  • Distance decay;
  • Drive time pattern;
  • Healthcare business model;
  • Healthcare geomatics;
  • Healthcare disparities;
  • Healthcare needs assessment and planning;
  • Healthcare shortage areas;
  • Healthcare utilization;
  • Healthcare resource allocation;
  • Remote patient monitoring;
  • Social medicine;
  • Spatial surveillance;
  • Telehealth.

Prof. Fazlay S. Faruque
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • accessibility
  • geospatial health
  • GIS
  • healthcare
  • healthcare delivery
  • needs assessment
  • service area
  • spatial disparities
  • spatial modeling

Published Papers (3 papers)

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Research

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Open AccessArticle
A Multi-factor Spatial Optimization Approach for Emergency Medical Facilities in Beijing
ISPRS Int. J. Geo-Inf. 2020, 9(6), 361; https://doi.org/10.3390/ijgi9060361 - 01 Jun 2020
Abstract
The outcomes for emergency medical services (EMS) are highly dependent on space-time accessibility. Prior research describes the location of EMS needs with low accuracy and has not integrated a temporal analysis of the road network, which accounts for varying mobility in a dynamic [...] Read more.
The outcomes for emergency medical services (EMS) are highly dependent on space-time accessibility. Prior research describes the location of EMS needs with low accuracy and has not integrated a temporal analysis of the road network, which accounts for varying mobility in a dynamic transportation network. In this study, we formulated a network-based location-allocation model (NLAM) and analyzed the spatial characteristics of emergency medical facilities within the fifth ring road in Beijing by considering time, traffic, and population characteristics. The conclusions are as follows: (1) The high demand area for EMS is concentrated in the areas in middle, north, and east during the daytime (8:00–20:00) and in the middle and north during the nighttime (20:00–8:00). From day to night, the centroid of the potential demand distribution shifts in the Western and Southern areas. (2) The road traffic data is sampled 20 times throughout the week, and variations in the average driving speed affect a higher mean driving speed on the weekend. This primarily impacts the main roads, due to these roads experiencing the greatest fluctuation in speed throughout the week of any roadway in the study area. (3) Finally, the 15-min coverage of emergency medical facilities are sampled 20 times in one week and analyzed. Fortunately, there is 100% coverage at night; however, due to traffic congestion, there were a few blind coverage areas in the daytime. The blind area is prevalent in Shijingshan South Station and the Jingxian Bridge in the South fifth ring. Full article
(This article belongs to the Special Issue GIS in Healthcare)
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Open AccessArticle
Using GIS for Disease Mapping and Clustering in Jeddah, Saudi Arabia
ISPRS Int. J. Geo-Inf. 2020, 9(5), 328; https://doi.org/10.3390/ijgi9050328 - 18 May 2020
Abstract
Geographic information systems (GIS) can be used to map the geographical distribution of the prevalence of disease, trends in disease transmission, and to spatially model environmental aspects of disease occurrence. The aim of this study is to discuss a GIS application created to [...] Read more.
Geographic information systems (GIS) can be used to map the geographical distribution of the prevalence of disease, trends in disease transmission, and to spatially model environmental aspects of disease occurrence. The aim of this study is to discuss a GIS application created to produce mapping and cluster modeling of three diseases in Jeddah, Saudi Arabia: diabetes, asthma, and hypertension. Data about these diseases were obtained from health centers’ registered patient records. These data were spatially evaluated using several spatial–statistical analytical models, including kernel and hotspot models. These models were created to explore and display the disparate patterns of the selected diseases and to illustrate areas of high concentration, and may be invaluable in understanding local patterns of diseases and their geographical associations. Full article
(This article belongs to the Special Issue GIS in Healthcare)
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Review

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Open AccessEditor’s ChoiceReview
Issues of Healthcare Planning and GIS: A Review
ISPRS Int. J. Geo-Inf. 2020, 9(6), 352; https://doi.org/10.3390/ijgi9060352 (registering DOI) - 27 May 2020
Abstract
Introduction: For the past 2400 years, the spatial relationship between health and location has been a concern for researchers. Studies have been conducted for decades to understand such a relationship, which has led to the identification of a number of healthcare planning issues. [...] Read more.
Introduction: For the past 2400 years, the spatial relationship between health and location has been a concern for researchers. Studies have been conducted for decades to understand such a relationship, which has led to the identification of a number of healthcare planning issues. Geographic Information Systems (GIS) technology has contributed to addressing such issues by applying analytical approaches at the level of epidemiological surveillance and evaluating the spatial inequality of access to healthcare. Consequently, the importance of reviewing healthcare planning issues and recognition of the role of GIS are integral to relevant studies. Such research will contribute to increasing the understanding of how to apply analytical approaches for dealing with healthcare planning issues using GIS. Methods: This paper aims to provide an examination of healthcare planning issues and focuses on reviewing the potential of GIS in dealing with such issues by applying analytical approaches. The method of a typical literature review was used through collecting data from various studies selected based on temporal and descriptive considerations. Results: Researchers have focused on developing and applying analytical approaches using GIS to support two important aspects of healthcare planning: first, epidemic surveillance and modeling, despite a lack of health information and its management, and, second, evaluating the spatial inequality of access to healthcare in order to determine the optimum distribution of health resources. Conclusion: GIS is an effective tool to support spatial decision-making in public health through applying the evolving analytical approaches to dealing with healthcare planning issues. This requires a literature review before preparing relevant studies, particularly because of the continuous development of GIS technologies. Full article
(This article belongs to the Special Issue GIS in Healthcare)
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