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Preparation of Acute Gastro Enteritis Distribution Maps and Estimation of Population at Risk in Coimbatore District of Tamilnadu, India

Author Affiliations

  • 1Nirmala College for women (Autonomous) Coimbatore, INDIA
  • 2 JSS Medical University, Mysore, INDIA

Int. Res. J. Environment Sci., Volume 3, Issue (3), Pages 43-48, March,22 (2014)

Abstract

Factors such as booming population, environmental pollution, rapid urbanization, and global warming all influence the conditions for disease outbreaks. Disease studies have revealed strong spatial aspects, including disease case location and disease diffusion. Thus, mapping spatial aspects of diseases could help people understand some puzzles of disease outbreak. Geographical Information Systems (GIS) provide an effective way of managing, storing, analyzing, and mapping disease information. GIS has strong capabilities in mapping and analyzing not only spatial data, but also non-spatial data, and can integrate many kinds of data to greatly enhance disease surveillance. This paper deals with the preparation of Acute Gastroenteritis incidence distribution maps based on population density that would constitute a useful tool for disease control and for the health planners of Coimbatore district of Tamilnadu. The Acute gastroenteritis incidence data was collected from the Deputy Directorate of Health services, Coimbatore district for the period (2000-2009). The data was imported into ArcGIS 10.0. The mean Acute gastroenteritis incidences of Coimbatore district were used for the preparation of the thematic maps. For the present study, Natural breaks classification was used to classify the Acute gastroenteritis incidences data for thematic mapping. Mettupalayam predominantly remains a high incidence area from 2000 to 2009. From the year 2003 onwards and upto 2009, Avinashi and Coimbatore North taluks have consistently shown high incidences. Two village panchayats Irumbarai and Ikkaraiboluvampatti are at high risk which has an Acute Gastroenteritis incidence rate of more than 1; whereas the villages Maruthur and Coimbatore corporation have an incidence rate between 0.5 and 1 and the incidence rate below 0.5 is observed in ninety six villages. The risk map clearly visualizes the regions where efforts to control Acute Gastroenteritis have to be concentrated.

References

  1. Koch T., Cartographies of disease: maps, mapping, and medicine, ESRI Press (2005)
  2. Cliff A. and Haggett P., Atlas of the distribution of diseases: Analytical approaches to epidemiological data, Oxford, Oxford University Press (1988)
  3. Myers M.F., Rogers D.J., Cox J. and Hay S.I., Forecasting disease risk for increased epidemic preparedness in public health, Advances in Parasitology., 47, 309-330 (2000)
  4. Choynowski M., Maps based on probabilities, J. American Statistical Association., 54, 385-388 (1959)
  5. Foody G.M., GIS: Health applications. Progress in Physical Geography, 30(5), 691-695 (2006)
  6. Greene S.K., Schmidt M.A., Stobierski M.G. and Wilson M.L., Spatio-temporal pattern of viral meningitis in Michigan, 1993–2001, J. Geographical Systems, 7(1), 85-99 (2005)
  7. Greiling D.A., Jacquez G.M., Kaufmann A.M. and Rommel R.G., Space-time visualization and analysis in the Cancer Atlas Viewer, Journal of Geographical Systems, 7(1), 67-84 (2005)
  8. Ramani S., Banerjee I., Gladstone B.P., Selvapandian D., Le Fevre A.M., Gray J.J., Jaffar S., Gomara M.I., Estes M.K., Brown D.W. and Kang G., Geographic information systems and genotyping in identification of Rotavirus G12 infections in residents of an urban slum with subsequent detection in hospitalised children: Emergence of G12 genotype in South India, J. clin Micro.,45 (2), 432-437 (2007)
  9. Sarkar R., Prabhakar A.T., Manickam S., Selvapandian D., VenkataRaghava M., kang G. and Balraj V., Epidemiological investigation of an outbreak of acute diarrhoeal disease using geographic information systems, Transactions. Royal Society of Tropical Medicine and Hygiene.,101, 587-593 (2007)
  10. Moonan P.K., Bayona M., Quitugua T.N., Oppong J., Dunber D., JostJr K.C., Burgess G., Singh K.P. and Weiss S.E., Using GIS technology to identify areas of tuberculosis transmission and incidence, Int. J. Health Geog., 3, 23 (2004)
  11. Porter J.D.H., Editorial: Geographical information systems and the tuberculosis DOTs strategy, Trop Medand Int Health., 4 (10), 631-633 (1999)
  12. Tiwari N., Adhikari C.M.S., Tewari A. and Kandpal V., Investigation of geospatial hotspots for the occurrence of hotspots in Almoradt, India, Using GIS and spatial scan statistics, Int. J. health Geog., 5, 33 (2006)
  13. Bavia M.E., Hale L.F., Malone J.B., Braud D.H. and Shane S.M., Geographic information systems and the environmental risk of shistosomiasis in Bahia, Brazil, Am. J. Trop Med &Hyg.,60 (4), 566-572 (1999)
  14. Hope L.A.K., Alonso W.J., Theim V.D., Anh D.D., Canh D.G., Lee H., Smith D.L. and Miller M.A., Geographical distribution and risk factors associated with enteric diseases in Vietnam, Am. J. Trop Med Hyg.,76 (4), 706-712 (2007)
  15. Bohra A. and Andrianasolo H., Applications of GIS in modelling of dengue risk based on socio cultural data: Case of Jalor, Rajasthan, India, 22nd Asian conference on Remote sensing, Centre for Remote Imaging, sensing and Processing (CRISP),National University of Singapore, Singapore Institute of Surveyors and Valuers, Asian Association on Remote Sensing (2001)
  16. Rushton G. and Lolonis P., Exploratory spatial analysis of birth defect rates in an urban population, Statistics in Medicine., 15, 717-726 (1996)
  17. Kafadar K., Smoothing Geographical data, particularly rates of disease, Statistics in Medicine., 15, 2539-2560 (1996)
  18. Talbot T.O., Kuldorff M., Teven P.F. and Haley V.B., Evaluation of spatial filters to create smoothed maps of health data. Statistics in Medicine., 18, 2399-2408 (2000)
  19. Bates S.J., Trostle J., Cevallos W.T., Hubbard A. and Eisenberg J.N.S., Relating diarrhoeal disease to social networks and the geographic configuration of communities in rural Ecuador, Am. J. Epidemologyy., 166 (9), 1088 – 95 (2007)
  20. Venkatkumar N., Mathew S. and Swaminathan G., A preliminary investigation for groundwater quality and health effects – A case study, Asian. J. Water, Environment and Pollution., 5 (4), 99-107 (2008)
  21. Hope L.A.K., Alonso W.J., Theim V.D., Anh D.D., Canh D.G., Lee H., Smith D.L. and Miller M.A., Geographical distribution and risk factors associated with enteric diseases in Vietnam, Am. J. Trop Med Hyg.,76 (4), 706-712 (2007)
  22. Prashanthi D.M., “Point” Chapter in thesis “GIS for epidemic malaria – Integration of spatial analysis and modelling: A case study of Salem district, India, pages 67-73, Doctoral thesis submitted to Bharathiar University (2006)
  23. Bhattacharya M.K., Ghosh S., Mukhopadhyay A.K., Deb A. and Bhattacharya S.K., Outbreak of cholera caused by Vibrio cholerae 01 intermediately resistant to norflaxin at Malda, West Bengal, J. Indian Med Assoc.,98, 389-390 (2000)
  24. Gopal S., Sarkar R., Banda K., Govindarajan J., Harijan B.B., Jeyakumar M.B., Philip Mitta M.E., Sadanala M.E., Selwyn T., Suresh C.R., Thomas V.A., Devadasan P., Selvapandian R.D., Kang G. and Balraj V., Study of water supply and sanitation practices in India using Geographic Information systems: some design and other considerations is a village setting, Indian. J. Med Res.,129, 233-241 (2009)
  25. Gorter A.C., Sandiford P., Smith G.D. and Pauw J.P., Water supply, Sanitation and diarrhoeal disease in Nicaragua: Results from a case control study, Int. J. Epidemiology.,20(2), 527-533 (1991)
  26. Victoria C.G., Vaughan J.P. and Barros F.C., The seasonality of infant deaths due to diarrhoeal and respiratory diseases in Southern Brazil, 1974 – 1978, Bul. Pan. Am Health Organ., 19, 29 – 39 (1985)
  27. Salazar-Lindo E., Pinell-Salles P., Maruy A. and Chea-Woo E., El Nino and diarrhoea and dehydration in Lima, Peru, Lancet., 350, 1597-1598 (1997)
  28. Checkley W. I., Epstain L. D., Gilman R. H., Figueroa R. I., Cama J.A., Patz J.A. and Black R. E., Effect of El nino and ambient temperature on hospital admissions and diarrhoeal diseases in Bolivian children, Lancet., 355, 422 – 450 (2000)
  29. Kovats R.S. and Tirado C., Climate, weather and enteric disease. In: Menne B, Ebbe KC (eds) Climate change and adaptation strategies for human health, Steinkopff Verlag, Darmstadt, 270-295 (2006)
  30. Curriero F.C., Patz J.A., Rose J.B. and Lele S., The association between extreme precipitation and waterborne disease outbreaks in the United States, 1948-1994, Am. J. Publ Health., 91, 1194-1199 (2001)
  31. Brandt C.D., Kim H.W., Yolken R.H., Kapikian A.Z., Arrobio J.O., Rodriguez W.J., Wyatt R.G., Chanock R.M. and Parrott R.H., Comparative epidemiology of the rotavirus serotypes and other viral agents associated with paediatric gastroenteritis, Am.J.Epidemiol., 110, 243-254 (1979)