Literature DB >> 6623127

The role of spatial analysis and geographic data in the detection of disease causation.

J D Mayer.   

Abstract

Spatial analyses of disease patterns have been used by investigators as one tool with which to address problems of disease causation. However, while the results of spatial studies may be suggestive, they have been definitive only rarely. This is because there are numerous epistemological, logical and methodological problems which are encountered in spatial analysis. It is important to address these problems as one step in answering the basic issues concerning the role of spatial analysis in the detection of disease causation.

Mesh：

Year:  1983        PMID： 6623127     DOI： 10.1016/0277-9536(83)90014-x

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN： 0277-9536            Impact factor:   4.634


  16 in total

1.  Geographical distribution of mortality rates for cerebrovascular disease in Lower Saxony (Federal Republic of Germany).

Authors:  M C Angermeyer; K Buser; U Patzold; P Piccolo
Journal:  J Neurol       Date:  1988-01       Impact factor: 4.849

2.  Two simple methods of spatial analysis and their applications in location-oriented health services research.

Authors:  A A Khan
Journal:  Am J Public Health       Date:  1986-10       Impact factor: 9.308

Review 3.  Spatial modeling in environmental and public health research.

Authors:  Michael Jerrett; Sara Gale; Caitlin Kontgis
Journal:  Int J Environ Res Public Health       Date:  2010-03-26       Impact factor: 3.390

4.  An information value based analysis of physical and climatic factors affecting dengue fever and dengue haemorrhagic fever incidence.

Authors:  Kanchana Nakhapakorn; Nitin Kumar Tripathi
Journal:  Int J Health Geogr       Date:  2005-06-08       Impact factor: 3.918

5.  Spatial autocorrelation of cancer incidence in Saudi Arabia.

Authors:  Khalid Al-Ahmadi; Ali Al-Zahrani
Journal:  Int J Environ Res Public Health       Date:  2013-12-16       Impact factor: 3.390

6.  The spatial distribution of known predictors of autism spectrum disorders impacts geographic variability in prevalence in central North Carolina.

Authors:  Kate Hoffman; Amy E Kalkbrenner; Veronica M Vieira; Julie L Daniels
Journal:  Environ Health       Date:  2012-10-31       Impact factor: 5.984

7.  The application of geographical information systems to important public health problems in Africa.

Authors:  Frank C Tanser; David Le Sueur
Journal:  Int J Health Geogr       Date:  2002-12-09       Impact factor: 3.918

8.  Use of satellite imagery in constructing a household GIS database for health studies in Karachi, Pakistan.

Authors:  Mohammad Ali; Shahid Rasool; Jin-Kyung Park; Shamoon Saeed; Rion Leon Ochiai; Qamaruddin Nizami; Camilo J Acosta; Zulfiqar Bhutta
Journal:  Int J Health Geogr       Date:  2004-09-28       Impact factor: 3.918

9.  Differences in health symptoms among residents living near illegal dump sites in Los Laureles Canyon, Tijuana, Mexico: a cross sectional survey.

Authors:  Wael K Al-Delaimy; Catherine Wood Larsen; Keith Pezzoli
Journal:  Int J Environ Res Public Health       Date:  2014-09-15       Impact factor: 3.390

10.  Application of Moran's test with an empirical Bayesian rate to leading health care problems in Taiwan in a 7-year period (2002-2008).

Authors:  Pui-Jen Tsai
Journal:  Glob J Health Sci       Date:  2012-07-24
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