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Distribution of dengue disease in lahore City
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Distribution of dengue disease in lahore City

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I created maps on those peoples who are affected from dengue disease,and this analysis is

I created maps on those peoples who are affected from dengue disease,and this analysis is

Published in: Health & Medicine, Technology

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  • 1. Final projectFinal projectDengue distribution And Relation With ArsenicDengue distribution And Relation With ArsenicSUBIMITTED TO:SUBIMITTED TO:Mrs.Qudsia HamidMrs.Qudsia HamidSUBMITTED BY:SUBMITTED BY:Muhammad Burhan KhalidMuhammad Burhan KhalidM.Sc GISM.Sc GISPUNJAB UNVERSITY (COLLEGE OF INFORMATION ANDPUNJAB UNVERSITY (COLLEGE OF INFORMATION ANDTECHNOLOGY)TECHNOLOGY)
  • 2. WhyWhySpatial Analysis:Spatial Analysis:Help us ?Help us ? Properties of spatial features and/orProperties of spatial features and/orrelationships between them:relationships between them: size,size,distribution, pattern, neighborhood, shape,distribution, pattern, neighborhood, shape,scale, orientationscale, orientation
  • 3. ObjectiveObjective The main objective is to:The main objective is to:o To find out the how many people affected by theTo find out the how many people affected by thedengue virus.dengue virus.o And how to over come the spread of the dengueAnd how to over come the spread of the denguedisease.disease.
  • 4. DATA AQUISITIONDATA AQUISITION We have a shape file of different town in LahoreWe have a shape file of different town in Lahorewhich is digitized with the help of satellite image.which is digitized with the help of satellite image. We have a data about dengue effected people inWe have a data about dengue effected people indifferent town in Lahore ( Data is gather fromdifferent town in Lahore ( Data is gather fromTOWN HALL)TOWN HALL) We have a data about tube well in different townsWe have a data about tube well in different townsin Lahore.in Lahore. We also have a data about arsenic contaminationWe also have a data about arsenic contaminationin tube well water.in tube well water.
  • 5. Layers Used In This ProjectLayers Used In This ProjectInfected peopleTube well waterHuman settlements... ............ ............... ....... ....Adultmosquitoes
  • 6. Analysis are performed on patient, U.C wise and tubewell shape fileOverlay analysisSplineANALYSISInterpolation techniquesInverse DistanceWeightedKrigingHotspot analysis
  • 7. Task: 1Task: 1InterpolationInterpolation Patients 2010(IDW)Patients 2010(IDW) Patients 2010 (Spline)Patients 2010 (Spline) Patients 2010 (Krging)Patients 2010 (Krging)On the Basis Of AgesOn the Basis Of Ages Tube wells 2010 (IDW)Tube wells 2010 (IDW) Tube wells 2010 (Spline)Tube wells 2010 (Spline) Tube wells 2010 (Krging)Tube wells 2010 (Krging)On the Basis OfOn the Basis OfArsenicArsenic
  • 8. Spatial InterpolationSpatial Interpolation A process of using locations with known dataA process of using locations with known datavalues to estimate values at other locations.values to estimate values at other locations. A “A “statistical surfacestatistical surface” is constructed by” is constructed byinterpolating unknown values from known values.interpolating unknown values from known values.
  • 9. Inverse Distance weightedInverse Distance weightedInverse DistanceInverse DistanceWeighted enforcesWeighted enforcesthat the estimatedthat the estimatedvalue of a point isvalue of a point isinfluenced more byinfluenced more bynearby known pointsnearby known pointsthan those fartherthan those fartheraway.away.We make a map ofWe make a map ofpatients IDW andpatients IDW andtubewell.tubewell.
  • 10. SplineSplineSplines create aSplines create asurface that passessurface that passesthrough the controlthrough the controlpoints and has thepoints and has theleast possibleleast possiblechange in slope atchange in slope atall points (minimumall points (minimumcurvature surface).curvature surface).
  • 11. KRIGINGKRIGING Kriging a geostatisticalKriging a geostatisticalmethod for spatialmethod for spatialinterpolation where theinterpolation where themean is estimated frommean is estimated fromthe best linear unbiasedthe best linear unbiasedestimator or best linearestimator or best linearweighted movingweighted movingaverage.average. We making a krigingWe making a krigingmap of patients and tubemap of patients and tubewell datawell data
  • 12. Task:2Task:2OverlayingOverlaying IDW (IDW (Patient and Tube wellPatient and Tube well)) Spline (Spline (Patient and Tube wellPatient and Tube well)) Krging (Krging (Patient and Tube wellPatient and Tube well))
  • 13. Overlay analysisOverlay analysis ““Overlay is a GIS operation in which layers withOverlay is a GIS operation in which layers witha common, registered map base are joined ona common, registered map base are joined onthe basis of their occupation.”the basis of their occupation.” Weighted Sum technique is used for overlayingWeighted Sum technique is used for overlayingtwo raster images.two raster images.
  • 14. Task:3Task:3Hot Spot AnalysisHot Spot Analysis Analysis perform on theAnalysis perform on thetube well data on thetube well data on thebasis of arsenic .basis of arsenic .
  • 15. Patients in 2007Patients in 2007
  • 16. Patients in 2008Patients in 2008
  • 17. Patients in 2009Patients in 2009
  • 18. Patients in Aug,2010Patients in Aug,2010
  • 19. Patients in Oct,2010Patients in Oct,2010
  • 20. Patients in Nov,2010Patients in Nov,2010
  • 21. Graph of 2009 PatientsGraph of 2009 Patients
  • 22. Graph of Patients 2010Graph of Patients 2010
  • 23. Comparison between 2009 andComparison between 2009 and20102010
  • 24. Comparison AnalysisComparison Analysis
  • 25. ConclusionConclusionWe concluded that where the tube well isWe concluded that where the tube well isin greater amount the patient is less andin greater amount the patient is less andwhere the tube well is in less amount thewhere the tube well is in less amount thepatient is greater.patient is greater.
  • 26. THANKSTHANKS