Basic of GIS and Spatio-Temporal Assessment of Health Events

The availability of geographic information systems in combination with fast and relatively inexpensive computer hardware leaves the epidemiologist with the responsibility of making effective use of the information. Present chapter described about the basic concept of geographical information system (GIS). In this chapter, different types of GIS data model, data error, and spatial analysis, spatio-temporal data model has also been analyzed. Moreover, this chapter describes about the concept of spatial epidemiology, such as, disease mapping, spatial exposure assessment, disease risk assessment and cluster detection. The sources and utilization of disease mapping software briefly described in this chapter. An example of point data, and areal data in association with epidemiological analysis has also been described here. A case study of spatio-temporal distribution of vector borne disease has been analyzed to reconnoiter the control of the interference coverage and the devotion to the intervention on malaria health outcome.

[1]  Robert J. Bennett,et al.  Mathematical methods in human geography and planning , 1985 .

[2]  Graham Dunn,et al.  Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary , 2007, Journal of Epidemiology and Community Health.

[3]  M. Goodchild,et al.  Geographic Information Systems and Science (second edition) , 2005 .

[4]  Michael F. Goodchild,et al.  A spatial analytical perspective on geographical information systems , 1987, Int. J. Geogr. Inf. Sci..

[5]  A B Lawson,et al.  The power of focused tests to detect disease clustering. , 1995, Statistics in medicine.

[6]  J. Snow.  On the Mode of Communication of Cholera , 1856, Edinburgh medical journal.

[7]  A. Dash,et al.  Burden of malaria in India: retrospective and prospective view. , 2007, The American journal of tropical medicine and hygiene.

[8]  J. Naus.  The Distribution of the Size of the Maximum Cluster of Points on a Line , 1965 .

[9]  Avare Stewart,et al.  Supporting temporal analytics for health-related events in microblogs , 2012, CIKM.

[10]  B. Nagpal,et al.  Identification of malaria hot spots for focused intervention in tribal state of India: a GIS based approach , 2009, International journal of health geographics.

[11]  Daniela Munteanu,et al.  Correlation between inflammatory biomarkers and metabolic disorders in HIV infected patients undergoing antiretroviral therapy , 2013, BMC Infectious Diseases.

[12]  G. Langran,et al.  A Framework For Temporal Geographic Information , 1988 .

[13]  Poh-Chin Lai,et al.  Spatial Epidemiological Approaches in Disease Mapping and Analysis , 2020 .

[14]  Anand P. Patil,et al.  BMC Infectious Diseases BioMed Central Research article Using high titer West Nile intravenous immunoglobulin from selected Israeli donors for treatment of West Nile virus infection , 2009 .

[15]  Elisabeth Dowling Root,et al.  Moving Neighborhoods and Health Research Forward: Using Geographic Methods to Examine the Role of Spatial Scale in Neighborhood Effects on Health , 2012, Annals of the Association of American Geographers. Association of American Geographers.

[16]  W. Tobler.  A Computer Movie Simulating Urban Growth in the Detroit Region , 1970 .

[17]  S. McLafferty,et al.  GIS and Public Health , 2002 .

[18]  J. Bithell.  An application of density estimation to geographical epidemiology. , 1990, Statistics in medicine.

[19]  Atul J Butte,et al.  Identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis , 2010, Critical care.

[20]  P. Burrough.  Principles of Geographical Information Systems for Land Resources Assessment , 1986 .

[21]  Trevor C. Bailey,et al.  Interactive Spatial Data Analysis , 1995 .

[22]  K. Shibuya,et al.  Geographic information system (GIS) maps and malaria control monitoring: intervention coverage and health outcome in distal villages of Khammouane province, Laos , 2009, Malaria Journal.

[23]  A. Roux.  Investigating Neighborhood and Area Effects on Health , 2001 .

[24]  Gouri Sankar Bhunia,et al.  Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India , 2013, BMC Infectious Diseases.

[25]  Michael F. Worboys,et al.  A generic model for planar geographical objects , 1992, Int. J. Geogr. Inf. Sci..

[26]  Stan Openshaw,et al.  Modifiable Areal Unit Problem , 2008, Encyclopedia of GIS.

[27]  G. S. Bhunia,et al.  Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies. , 2011, Geospatial health.

[28]  R. Malley,et al.  Micro-geographic risk factors for malarial infection , 2009, Malaria Journal.

[29]  Simon Kingham,et al.  Testing for Clustering of Health Events within a Geographical Information System Framework , 1995 .

[30]  Marc P. Armstrong,et al.  Temporality in Spatial Databases , 1988 .

[31]  J. F. Oliveira‐Júnior,et al.  Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Mato Grosso do Sul State, Brazil , 2016, Meteorology and Atmospheric Physics.

[32]  Aruna Srivastava,et al.  Application of spatial technology in malaria research & control: some new insights. , 2009, The Indian journal of medical research.

[33]  Duane F. Marble,et al.  Spatial Analysis: A Reader in Statistical Geography , 1968 .