Abstract
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.
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References
Armstrong MP (1988) Temporality in spatial databases. Proc GIS/LIS’88 2:880–889
Aronoff S (1989) Geographic information system. A Management Perspecive, WDL, Ottawa
Bailey TC, Gatrell AC (1995) Interactive spatial data analysis. Longman Group, Harlow, Essex, England, p 413
Berry BJL, Marble DF (eds) (1968) Spatial analysis: a reader in statistical geography. Prentice-Hall, Eng, ewood Cliffs New Jersey
Bhunia GS, Kesari S, Chatterjee N, Kumar V, Das P (2013) Spatial and temporal variation and hotspot detection of kala-azar disease in Vaishali district (Bihar), India. BMC Infect Dis 13(1):1–13
Bhunia GS, Kesari S, Chatterjee N, Pal DK, Kumar V, Ranjan A, Das P (2011) Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies. Geospatial health 5(2):205–215
Bithell JF (1990) An application of density estimation to geographical epidemiology. Stat Med 9:691–701
Burrough PA (1986) Principles of geographical information systems for land resources assessement. Clarendon, Oxford
Chang KT (2006) Introduction to geographic information systems, 3rd edn, McGraw-Hill, p 432
Cohen MJ et al (2010) Research identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit Care 14(1):R10
Cromley E, McLafferty S (2011) GIS and public health. Guilford Press, New York
Diez Roux AV (2011) Investigating neighbourhood and area effects on health. Am J Public Health 91(11):1783–1789
Goodchild MF (1988) A spatial analytical perspective on geographical information systems (PDF). Int J Geogr Inf Syst 1:327–344
Gregory J, Smith E (1986) Procedimentos quantitativos (principalmente estatísticos) e técnicas aplicadas no trabalho analítico de localizações, p 446
Hagerstrand T (1973) The domain of human geography. In: Chorley RJ (ed) Directions in geography. Methuen, London, pp 67–87
Haining R (1994) Designing spatial data analysis modules for geographical information systems. In: Fotheringham AS, Rogerson P (eds) Spatial analysis and GIS. Taylor and Francis, London
Kanhabua N, Stewart A, Nejd W, Romano S (2012) Supporting temporal analytics for health-related events in microblogs. In: CIKM’12, 29 Oct–2 Nov, Maui, HI, USA
Kingham SP, Gatrel AC, Rowlingson B (1995) Testing for clustering of health events within a geographical information system framework. Environ Plann A 27:809–821
Kumar A, Valecha N, Jain T, Dash AP (2007) Burden of malaria in India: retrospective and prospective view. Am J Trop Med Hyg 77(6):69–78
Lai PC, So FM, Chan KW (eds) (2009) Spatial epidemiological approaches in disease mapping and analysis. CRC Press Taylor and Francis Group, Boca Ratón, FL
Langran G, Chrisman NR (1988) A framework for temporal geographic information. Cartographica 25(3):1–14
Longley PA, Goodchild MF, Maguire DJ, Rhind DW (2010) Geographic information systems and science. Third Edition. Hoboken, NJ: Wiley
Meyer S, Held L, Höhle M (2015) Spatio-temporal analysis of epidemic phenomena using the R package surveillance. https://arxiv.org/pdf/1411.0416.pdf
Myers WP, Myers AP, Cox-Singh J, Lau HC, Mokuai B, Malley R (2009) Micro-geographic risk factors for malarial infection. Malar J 8:27
Nadi S, Delavar MR (2003) Spatio-Temporal modeling of dynamic phenomena in GIS. In: ScanGIS 2003 Proceeding, pp 215–225
Naus J (1965) The distribution of the size of maximum cluster of points on the line. J Am Stat Assoc 60:532–538
Noor AM, Gething PW, Alegana VA, Patil AP, Hay SI, Muchiri E, Juma E, Snow RW (2009) The risks of malaria infection in Kenya in 2009. BMC Infect Dis 9:180
Openshaw S (1990) Towards a spatial analysis research strategy for the regional Research Laboratory initiative. In: Masser J, Blackmore MJ (eds) Geographical information management: methodology and applications. Longman, London
Openshaw S (1984) The modifiable areal unit problem. Norwich, UK: Geo Books
Pfeiffer DU (1996) Issues related to handling of spatial data. In: McKenzie J (ed) Proceedings of the epidemiology and state veterinary programmes. New Zealand Veterinary Association/Australian Veterinary Association Second Pan Pacific Veterinary Conference, Christchurch, 23–28 June, pp 83–105
Picquet C (1832) Rapport sur la Marche et les Effets du Choléra-Morbus dans Paris et les Communes Rurales du Departement de la Seine. Le Ministre du Commerce et des Travaux Public, Paris
Rezaeian M, Dunn G, St Leger S, Appleby L (2007) Geographical epidemiology, spatial analysis and geographical information systems: a multidisciplinary glossary. J Epidemiol Community Health 61:98–102
Root ED (2012) Moving Neighborhoods and Health Research Forward: Using Geographic Methods to Examine the Role of Spatial Scale in Neighborhood Effects on Health. Ann Assoc Am Geogr 102(5):986–995
Saxena R, Nagpal BN, Srivastava A, Gupta SK, Dash AP (2009) Application of spatial technology in malaria research & control: some new insights. Indian J Med Res 130:125–132
Shirayama Y, Phompida S, Shibuya K (2009) Geographic information system (GIS) maps and malaria control monitoring: intervention coverage and health outcome in distal villages of Khammouane province. Laos Malar J 8:217
Snow J (1855) On the mode of communication of cholera
Srivastava A, Nagpal BN, Joshi PL, Paliwal JC, Dash AP (2009) Identification of malaria hot spots for focused intervention in tribal state of India: a GIS based approach. Int J Health Geogr 8:30
Taylor PJ (1977) Quantitative methods in geography. Houghton Miffin, Boston
Teodoro PE, de Oliveira-Júnior JF, da Cunha ER et al (2016) Cluster analysis applied to the spatial and temporal variability of monthly rainfall in Mato Grosso do Sul State, Brazil. Meteorol Atmos Phys 128:197
Tobler WR (1970) A computer movie simulating urban growth in the Detroit region. Econ Geog Suppl 46:234–240
Tomlin CD (1990) Geographic information systems and cartographic modelling. Prentice-Hall, Englewood Cliffs, New Jersey
Waller LA, Lawson AB (1995) The power of focused tests to detect disease clustering. Stat Med 14:2291–2308
WHO (2010). http://www.who.int/malaria-/world_malaria_report_-2010/worldmalariareport2010.pdf. Accessed 15 Feb 2012
Wilson AG, Bennett RJ (1985) Mathematical methods in human geography and planning. Wiley, London
Worboys MF (1992) A generic model for planner geographical objects. Int J Geogr Inf Syst 6:353–372
World Bank (2007) Jharkhand—addressing the challenges of inclusive development. Poverty reduction and economic management India country management Unit South Asia. Report No. 36437-IN
Yuan M (1996) Temporal GIS and spatio-temporal modeling, published on CD-ROM by the national center for geographical information and analysis
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Bhunia, G.S., Shit, P.K. (2019). Basic of GIS and Spatio-Temporal Assessment of Health Events. In: Geospatial Analysis of Public Health. Springer, Cham. https://doi.org/10.1007/978-3-030-01680-7_3
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DOI: https://doi.org/10.1007/978-3-030-01680-7_3
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