Spatial Technology in Health-Care Planning and Policy

  • Gouri Sankar BhuniaEmail author
  • Pravat Kumar Shit


Geography and health are inherently connected. Although health geography is diligently united with epidemiology its distinctive primary accent is on the spatial associations and configurations. This chapter describes about the health care planning and policy based on geospatial technology. The role of geospatial technology aids to extract the environmental variable to identify the risk areas for disease transmission. Moreover, the high spatial and spectral resolution data increase our appreciative of the epidemiology, transmission patterns and risk factors of vector borne diseases. Geographical approach and telehealth approach have been analyzed to envisage the zones that might be at imminent risk for disease transmission as well as providing suitable information for the alert and preparedness phase of the disease.


  1. Bhunia GS, Kesari S, Chatterjee N, Kumar V, Das P (2012) Telehealth: a perspective approach for visceral leishmaniasis (kala-azar) control in India. Pathogens Global Health 106(3):150–158CrossRefGoogle Scholar
  2. Boothby J, Dummer TGB (2003) Facilitating mobility? The role of GIS. Geography 88(4): 300–311Google Scholar
  3. Davis GS, Sevdalis N, Drumright LN (2014) Spatial and temporal analyses to investigate infectious disease transmission within healthcare settings. J Hosp Infect 86:227–243CrossRefGoogle Scholar
  4. Dummer TJB (2008) Health geography: supporting public health policy and planning. CMAJ 178(9):1177–1180CrossRefGoogle Scholar
  5. Gupta N, Zurn P, Diallo K, Dal Poz MR (2003) Uses of population census data for monitoring geographical imbalance in the health workforce: snapshots from three developing countries. Int J Equity Health 2:11CrossRefGoogle Scholar
  6. Hesse BW, Hansen D, Finholt T, Munson S, Kellogg W, Thomas JC (2010) Social participation in health 2.0. IEEE Comput 43(11):45–52CrossRefGoogle Scholar
  7. Kitron U (2000) Risk maps: transmission and burden of vector-borne diseases. Parasitol Today 16(8):324–325CrossRefGoogle Scholar
  8. Schlachta-Fairchild L, Elfrink V, Deickman A (2008) Patient safety, telenursing, and telehealth, patient safety and quality: an evidence-based handbook for nurses, vol 3, pp 3–40.
  9. Souarès Y (2000) Telehealth and outbreak prevention and control: the foundations and advances of the Pacific Public Health Surveillance Network. Pacific Health Dialog 7(2):11–28Google Scholar
  10. Stroetmann KA, Robinson LKS, Stroetmann KC, McDaid D (2010) How can telehealth help in the provision of integrated care? World health organization. Denmark, CopenhagenGoogle Scholar
  11. Ward MH, Nuckols JR, Weigel SJ, Maxwell SK, Cantor KP, Miller RS (2000) Identifying populations potentially exposed to agricultural pesticides using remote sensing and a geographic information system. Environ Health Perspect 108(1):5–12Google Scholar
  12. Wilson ML (2002) Emerging and vector-borne diseases: role of high spatial resolution and hyperspectral images in analyses and forecasts. J Geograph Syst 4:31–42CrossRefGoogle Scholar
  13. Xue Y, Cracknell AP, Guo HD (2002) Telegeoprocessing: the integration of remote sensing, geographic information system (GIS), global positioning system (GPS) and telecommunication. Int J Remote Sens 23:1851–1893CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Science and TechnologyBihar Remote Sensing Application CentrePatnaIndia
  2. 2.Department of GeographyRaja Narendra Lal Khan Women’s CollegeMidnaporeIndia

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