Health and GIS: Toward Spatial Statistical Analyses

Chung, Kyusuk; Yang, Deying; Bell, Ralph

doi:10.1023/b:joms.0000032850.04124.33

Cited by 24 publications

(20 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Implementation within GIS of spatial tools for analysis appropriate for collected data over a locality will multiply the use of GIS beyond easy GIS operations in public health domain [10]. 1) Level 1 : Basic data collection and report generation using IT tools like a mobile based application which can take input in the desired form helps in following a uniform protocol of patients data collection.…”

Section: Use Of Ict and Gis Can Be At Various Levels Of Involvemenmentioning

confidence: 99%

Improving Healthcare Management System using Efficient Geo-Spatial Data Analysis

2015

IJSR

View full text Add to dashboard Cite

Chronic medical diseases take a huge toll on lives of growing people and are a major contributor to the rising costs in healthcare. Information Technology (IT) can be used greatly to bring improvement in healthcare domain. A further dimension proposed in improving public management is to add non-spatial and spatial data to create a management system that provide support and logical approach to manage public health using Geographic Information System (GIS). The knowledge of medical geographic information systems (Medical GIS) has become very important in having larger picture and understanding of public health. A GIS can be used as a source of data repository. Electronic health records of patients will be served as input to GIS, on which knowledge engines and study systems will operate to create support systems for taking appropriate decisions by professionals of public health domain. Electronic systems can be additionally embedded to generate and communicate results, alert and alarm public automatically. The proposed analytical tool in the current study focuses on introspection of GIS in public health, provide awareness and take responsible decisions related to geographical, demographical and socio-economical factors linked to epidemics, diseases and health of public. The proposed knowledge system is capable of predicting many other concerned consequences like disease spread, requirement of clinicians, equipment and medicines requirements etc. to help sustained management of resources. Such proposed systems hence if replicated in developing nations like India will help eliminating rise of epidemics by making government and public both vigilant.

show abstract

Section: Use Of Ict and Gis Can Be At Various Levels Of Involvemenmentioning

confidence: 99%

Improving Healthcare Management System using Efficient Geo-Spatial Data Analysis

2015

IJSR

View full text Add to dashboard Cite

show abstract

“…If specific features form data clusters, descriptive statistics can also be used to examine non-spatial aspects of data (e.g., comparison of data distributions to normal distributions) (Rushton 2003;Chung 2004). Analytical statistical methods are used to test hypotheses and develop conclusions regarding the distribution or characterization of the analyzed data.…”

Section: Quantitative and Statistical Analysismentioning

confidence: 99%

Applying GIS Methods to Public Health Research at Harvard University

Blossom

Finkelstein

Guan

et al. 2011

Journal of Map & Geography Libraries

View full text Add to dashboard Cite

The Center for Geographic Analysis (CGA) at Harvard University supports research and teaching that relies on geographic information. This includes supporting geographic analysis for public health research at Harvard. This article reviews geographic concepts that apply to public health, pertinent data available in geographic format, and GIS analytical techniques. The workflow methodology the CGA has developed for conducting research with geographic data will be presented, highlighting successful practices to follow and pitfalls to avoid. Applications of this workflow are illustrated through an in-depth discussion of specific case studies in public health research at the University.

show abstract

“…Using a smoothing technique (Chung et al, 2004) to create smooth rates is a good alternative to overcome the variation (nonuniformity) of features in small areas on choropleth maps (Melnick, 2002) and to stabilize the variance of small areal unit rates. While most widely used GIS applications now incorporate some smoothing procedures, users must make themselves aware of the assumptions on which these methods are based.…”

Section: Spatial Statistical Considerationsmentioning

confidence: 99%