A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies

Lyseen, Anders Knørr; Nøhr, Christian; Sørensen, Esben Munk; Gudes, Ori; Geraghty, Estella M.; Shaw, Nicola; Bivona-Tellez, Christina

doi:10.15265/iy-2014-0008

Cited by 87 publications

(38 citation statements)

References 167 publications

(184 reference statements)

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“…Geographic location of disease cases can be a crucial first step in identifying and eventually preventing the source of disease outbreaks. The GIS may be used to manage the modeling and mapping of disease, to develop a new hypothesis in a geographic context, to analyze and predict future disease risks, and to undertake location/allocation analysis on the distribution of services and resources 31,32 .…”

Section: Spatial Data Analysismentioning

confidence: 99%

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Tlacuilo‐Parra

Garibaldi-Covarrubias

Romo-Rubio

et al. 2017

RIC

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Background: Acute leukemia is the most common cancer in childhood. Analyzing the spatial distribution of acute leukemia may generate the identification of risk factors. Objective: To study the incidence rate of acute leukemia, its geographic distribution, and cluster detection in the metropolitan area of Guadalajara, Mexico. Methods: We included children under 15 years of age diagnosed with acute leukemia during the period 2010-2014 in the metropolitan area of Guadalajara. Each case was geo-referenced to street level to latitude and longitude coordinates using Quantum Geographic Information System (QGIS). Spatial clusters were found in the location of the acute leukemia cases applying the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm with R statistical software. Results: A total of 269 cases of leukemia were registered, 227 (84%) were acute lymphoblastic leukemia and 42 (16%) acute myeloblastic leukemia. The mean age was 6 ± 4 years. The mean incidence of acute leukemia was 6.44 cases/100,000 inhabitants: El Salto 10.12/100,000, Guadalajara 7.55/100,000, and Tlaquepaque 6.74/100,000. The DBSCAN found three clusters, all located within the municipality of Guadalajara. Conclusions: The incidence of acute leukemia in our population is higher than that in Canada and the USA. We found three spatial clusters of childhood acute lymphoblastic leukemia in the municipality of Guadalajara, suggesting the presence of local predisposing factors. (REV INVES CLIN. 2017;69:159-65)

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Section: Spatial Data Analysismentioning

confidence: 99%

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Tlacuilo‐Parra

Garibaldi-Covarrubias

Romo-Rubio

et al. 2017

RIC

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“…Spatial tools have also been used for many years to explore environmental determinants of cancer, describe risk factors for chronic disease, investigate disease transmission, and plan for and respond to natural disasters, including in low-resource settings, where application to infectious disease surveillance and outbreak response predominates (7). Indeed, modern public health, in the English-speaking world, was founded in the work of John Snow and his carefully drawn cholera maps in the London of the 1850s (8).…”

Section: The Future Is Spatial But Health Sector Uptake Is Patchymentioning

confidence: 99%

Spatially Enabling the Health Sector

Weeramanthri

Woodgate

2016

Front. Public Health

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Spatial information describes the physical location of either people or objects, and the measured relationships between them. In this article, we offer the view that greater utilization of spatial information and its related technology, as part of a broader redesign of the architecture of health information at local and national levels, could assist and speed up the process of health reform, which is taking place across the globe in richer and poorer countries alike. In making this point, we describe the impetus for health sector reform, recent developments in spatial information and analytics, and current Australasian spatial health research. We highlight examples of uptake of spatial information by the health sector, as well as missed opportunities. Our recommendations to spatially enable the health sector are applicable to high- and low-resource settings.

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“…4,5 The potential uses of GIS in health include simple mapping of diseases, identifying associations between exposures and spatial distribution of disease, estimating exposures in individuals within defined geographic regions, identifying populations at risk for environmental hazards, and identifying disease clusters. 6 However, the use of GIS in health is not new.…”

Section: -3mentioning

confidence: 99%

A feasibility study using geographic access to general practices and routinely collected data in public health and health services research

Chong¹,

Byun²,

Jalaludin³

2015

Public Health Res Pr

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Background: Advances in geographic information systems (GIS) and increased availability of routinely collected data have the potential to contribute to public health and health services research. The aim of this feasibility study was to explore the use of GIS to measure access to general practices and its relationship to selected antenatal behaviours. Methods:We obtained the Perinatal Data Collection, 2004−2008, for South Western Sydney Local Health District from the New South Wales Ministry of Health. Using a GIS, we generated circular and polygon-based 1 km and 2 km road network buffers from a maternal residential address and then calculated the number of general practices within those buffers (density measures). Distances to general practices from maternal residences were also calculated in the GIS as another measure of geographic access to general practices (proximity measures). We used generalised estimating equations logistic regression to examine associations between access to general practices, and smoking during pregnancy and late first antenatal visit. Results:The numbers of general practices within circular buffers were significantly greater than within polygon-based road network buffers. The average distance to the five closest general practices from a mother's residence was 2.3 km ± 3.0 km (median 1.4 km, range 0.05 km to 40.0 km). For two of the five measures of access, a higher number of general practices was associated with increased risk for late first antenatal visit. However, the associations were weak, with odds ratios very close to unity. Choice of metrics of geographic access to general practices did not alter the associations with smoking during pregnancy or late first antenatal visit. Conclusion:GIS can be used to quantify measures of geographic access to health services for public health and health services research. Geographic access to general practices was generally not associated with smoking during pregnancy or late first antenatal visit. GIS and routinely collected health data can be used to answer novel questions in public health and health services research.

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A Review and Framework for Categorizing Current Research and Development in Health Related Geographical Information Systems (GIS) Studies

Cited by 87 publications

References 167 publications

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Geographical Distribution and Cluster Detection of Childhood Leukemia in the Metropolitan Area of Guadalajara, Mexico

Spatially Enabling the Health Sector

A feasibility study using geographic access to general practices and routinely collected data in public health and health services research

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