Skip to main content

Basic of GIS and Spatio-Temporal Assessment of Health Events

  • Chapter
  • First Online:
Book cover Geospatial Analysis of Public Health

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Armstrong MP (1988) Temporality in spatial databases. Proc GIS/LIS’88 2:880–889

    Google Scholar 

  • Aronoff S (1989) Geographic information system. A Management Perspecive, WDL, Ottawa

    Google Scholar 

  • Bailey TC, Gatrell AC (1995) Interactive spatial data analysis. Longman Group, Harlow, Essex, England, p 413

    Google Scholar 

  • Berry BJL, Marble DF (eds) (1968) Spatial analysis: a reader in statistical geography. Prentice-Hall, Eng, ewood Cliffs New Jersey

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Bithell JF (1990) An application of density estimation to geographical epidemiology. Stat Med 9:691–701

    Article  Google Scholar 

  • Burrough PA (1986) Principles of geographical information systems for land resources assessement. Clarendon, Oxford

    Google Scholar 

  • Chang KT (2006) Introduction to geographic information systems, 3rd edn, McGraw-Hill, p 432

    Google Scholar 

  • Cohen MJ et al (2010) Research identification of complex metabolic states in critically injured patients using bioinformatic cluster analysis. Crit Care 14(1):R10

    Article  Google Scholar 

  • Cromley E, McLafferty S (2011) GIS and public health. Guilford Press, New York

    Google Scholar 

  • Diez Roux AV (2011) Investigating neighbourhood and area effects on health. Am J Public Health 91(11):1783–1789

    Article  Google Scholar 

  • Goodchild MF (1988) A spatial analytical perspective on geographical information systems (PDF). Int J Geogr Inf Syst 1:327–344

    Article  Google Scholar 

  • Gregory J, Smith E (1986) Procedimentos quantitativos (principalmente estatísticos) e técnicas aplicadas no trabalho analítico de localizações, p 446

    Google Scholar 

  • Hagerstrand T (1973) The domain of human geography. In: Chorley RJ (ed) Directions in geography. Methuen, London, pp 67–87

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • Langran G, Chrisman NR (1988) A framework for temporal geographic information. Cartographica 25(3):1–14

    Article  Google Scholar 

  • Longley PA, Goodchild MF, Maguire DJ, Rhind DW (2010) Geographic information systems and science. Third Edition. Hoboken, NJ: Wiley

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Nadi S, Delavar MR (2003) Spatio-Temporal modeling of dynamic phenomena in GIS. In: ScanGIS 2003 Proceeding, pp 215–225

    Google Scholar 

  • Naus J (1965) The distribution of the size of maximum cluster of points on the line. J Am Stat Assoc 60:532–538

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • Openshaw S (1984) The modifiable areal unit problem. Norwich, UK: Geo Books

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Snow J (1855) On the mode of communication of cholera

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Taylor PJ (1977) Quantitative methods in geography. Houghton Miffin, Boston

    Google Scholar 

  • 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

    Article  Google Scholar 

  • Tobler WR (1970) A computer movie simulating urban growth in the Detroit region. Econ Geog Suppl 46:234–240

    Article  Google Scholar 

  • Tomlin CD (1990) Geographic information systems and cartographic modelling. Prentice-Hall, Englewood Cliffs, New Jersey

    Google Scholar 

  • Waller LA, Lawson AB (1995) The power of focused tests to detect disease clustering. Stat Med 14:2291–2308

    Article  Google Scholar 

  • 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

    Google Scholar 

  • Worboys MF (1992) A generic model for planner geographical objects. Int J Geogr Inf Syst 6:353–372

    Google Scholar 

  • 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

    Google Scholar 

  • Yuan M (1996) Temporal GIS and spatio-temporal modeling, published on CD-ROM by the national center for geographical information and analysis

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gouri Sankar Bhunia .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

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

Download citation

Publish with us

Policies and ethics