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The representation and analysis of maps of vector born disease (VBD) and other related data is an important tool in the analysis and representation of local and regional variation in public health care system. GIS plays a variety of roles in the planning and management of the dynamic and complex healthcare system and disease mapping. Important vector born diseases like malaria, dengue fever, kala-azar etc. are discussed in this chapter. Spatial disease models study and predict the movements of people, information, and goods from one area to the other area. By accurately modeling these movements through GIS techniques, it is effortlessly to identify areas most at risk for disease transmission and thus target intervention efforts. Development block-wise report of VBD cases are mapped to recognize clusters necessitating intense attention for the control of disease. Location of dengue and kala-azar cases are identified through GPS. Important favorable indicators i.e. stream, ponds/water tanks, nalas, sewage zone, overhead tanks and slum areas in the Varanasi city also are very helpful malaria breeding sources and these indicators are extracted from remote sensing satellite data for the analysis. Outcomes of the present study recognized target variables that potentially favor mosquito breeding locations in the survey areas.
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Bhattacharya, S., Chakravarty, S., Maity, S., Dureja, V., & Gupta, K. K. (2005). Metal contents in the groundwater of Sahebgunj district, Jharkhand, India, with special reference to arsenic. Chemosphere, 58, 1203–1217. CrossRef
Bhattacharya, S., Sharma, C., Dhiman, R. C., & Mitra, A. P. (2006). Climate change and malaria in India. Current Science, 90(3), 369–375.
Boscoe, F. P., Ward, M. H., & Reynolds, P. (2004). Current practices in spatial analysis of cancer data: Data characteristics and data sources for geographic studies of cancer. International Journal of Health Geography, 97, 14041–14043.
Craig, M. H., Snow, R. W., & Le Sueur, D. (1999). A climate-based distribution model of malaria transmission in sub-Saharan Africa. Parasitology Today, 15, 105–111. CrossRef
Eisen, L., & Eisen, R. J. (2011). Using geographic information systems and decision support systems for the prediction, prevention, and control of vector-borne diseases. Annual Review of Entomology, 56, 41–61. CrossRef
Foley, R. (2002). Assessing the applicability of GIS in a health and social care setting: Planning services for informal carers in East Sussex, England. Social Science and Medicine, 55, 79–96. CrossRef
Gatrell, A. C. (2002). Geographies of health: An introduction. Oxford: Blackwell Publishers.
Gatrell, A., & Loytonen, M. (1998). GIS and health. London: Taylor & Francis. CrossRef
Kleinschmidt, I., Bagayoko, M., Clarke, G. P. Y., Craig, M., & le Sueur, D. (2000). A spatial statistical approach to malaria mapping. International Journal of Epidemiology, 29, 355–361. CrossRef
Lai, P. C., So, F. M., & Chan, K. W. (2009). Spatial epidemiological approach in disease mapping and analysis (pp. 1–169). Boca Raton: CRC press.
Mushinzimana, E. S., Munga, N., Minakawa, L. L., Feng, C. C., Bian, L., & Kitron, U. (1997). Landscape determinants and remote sensing of anopheline mosquito larval habitats in the western Kenya highlands. Indian Malaria Journal, 5(1), 13. CrossRef
Napier, L. E. (1926). An epidemiological consideration of the transmission of Kala-azar in India. Indian Medical Research Memoirs, 4, 219–265.
Nipada, R. (2005). GIS and epidemiology. Journal of Medical Association, Thai, 88(11), 1735–1738.
Palaniyandi, M. (2013). GIS mapping of vector breeding habitats. Geospatial World Weekly, (GIS e-news magazine), 9(2):1–4.
Palaniyandi, M., & Nagarathinam, V. (1997). Land use/land cover mapping and change detection using space borne data. Journal of the Indian Society of Remote Sensing, 25(1), 27–33. CrossRef
Palaniyandi, M., Anand, P. H., & Maniyosai, R. (2014). Spatial cognition: A geospatial analysis of vector borne disease transmission and the environment, using remote sensing and GIS. International Journal of Mosquito Research, 1(3), 39–54.
Rai, P. K., Nathawat, M. S., Mishra, A., Singh, S. B., & Onagh, M. (2011). Role of GIS and GPS in VBD Mapping: A Case Study. Journal of GIS Trends. Academy Science Journals, North America, 2(1), 20–27. ISSN:2146 0892.
Rai, P. K., Nathawat, M. S., & Onagh, M. (2012). Application of multiple linear regression model through GIS and remote sensing for malaria mapping in Varanasi District, INDIA. Health Science Journal (International Journal of Nursing Research and Review), 6(4), 731–749. ISSN 1108-7366E. Available at http://www.hsj.gr/volume6/issue4/6414
Rai, P. K., Nathawat, M. S., & Rai S. (2013). Using the information valuemethod in Geographic Information System (GIS) and remote sensing for malaria mapping. A case study from India, Informatics in Primary Care (University of Surrey, U.K.), 21(1), 43–52. ISSN 1475-9985. Available at http://dx.doi.org/10.14236/jhi.v21i1.38
Thakur, C. P. (2000). Socio-economics of visceral leishmaniasis in Bihar (India). Transactions of The Royal Society of Tropical Medicine and Hygiene, 94, 156–157. CrossRef
- GIS in Vector Born Disease Mapping
Praveen Kumar Rai
Mahendra Singh Nathawat
- Chapter 5
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