A GIS Based Methodology for Identifying the Pattern of Polio Disease

Usman Ahmad

Editorial: LAP Lambert Academic Publishing Okt 2015, 2015
ISBN 10: 3659784141 / ISBN 13: 9783659784149
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Neuware - Pakistan is one of the countries in the world, who is affected with polio virus. The main objective of this present study was applying spatial statistics to examine the spatiotemporal patterns and areas of hotspot detection for describing the pattern of polio disease in Pakistan. In this study, statistical data smoothing process was used to decrease noise in polio records which is registered at a district level from 2011 to 2014. Moran's I (Spatial analysis method) was applied to measure spatial association in polio disease distribution in study area and examined how districts were spread or clustered. Getis-Ord Gi (d) statistics was utilized for the identification of cold spot and hotspot within study area and IDW technique applied for Interpolation. This predicts the trend of polio disease distribution around the study area. The incidence rate of polio disease through mapping depicted uneven distribution of poliovirus in affected districts of Pakistan. Spatial statistics are used to perform Moran's I test and it measured considerable positive spatial autocorrelation of polio disease incidences for previous four successive years. 76 pp. Englisch. N° de ref. de la librería

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Sinopsis: Pakistan is one of the countries in the world, who is affected with polio virus. The main objective of this present study was applying spatial statistics to examine the spatiotemporal patterns and areas of hotspot detection for describing the pattern of polio disease in Pakistan. In this study, statistical data smoothing process was used to decrease noise in polio records which is registered at a district level from 2011 to 2014. Moran's I (Spatial analysis method) was applied to measure spatial association in polio disease distribution in study area and examined how districts were spread or clustered. Getis-Ord Gi* (d) statistics was utilized for the identification of cold spot and hotspot within study area and IDW technique applied for Interpolation. This predicts the trend of polio disease distribution around the study area. The incidence rate of polio disease through mapping depicted uneven distribution of poliovirus in affected districts of Pakistan. Spatial statistics are used to perform Moran’s I test and it measured considerable positive spatial autocorrelation of polio disease incidences for previous four successive years.

About the Author: Usman Ahmad received his Master of Philosophy degree in Geomatics from University of the Punjab Lahore, Pakistan in 2015. He did his Graduation in Space Science from University of the Punjab. Area of interest GIS, Meteorology, Remote Sensing.

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Título: A GIS Based Methodology for Identifying the ...
Editorial: LAP Lambert Academic Publishing Okt 2015
Año de publicación: 2015
Encuadernación: Taschenbuch
Condición del libro: Neu

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Descripción Estado de conservación: New. Publisher/Verlag: LAP Lambert Academic Publishing | Pakistan is one of the countries in the world, who is affected with polio virus. The main objective of this present study was applying spatial statistics to examine the spatiotemporal patterns and areas of hotspot detection for describing the pattern of polio disease in Pakistan. In this study, statistical data smoothing process was used to decrease noise in polio records which is registered at a district level from 2011 to 2014. Moran's I (Spatial analysis method) was applied to measure spatial association in polio disease distribution in study area and examined how districts were spread or clustered. Getis-Ord Gi (d) statistics was utilized for the identification of cold spot and hotspot within study area and IDW technique applied for Interpolation. This predicts the trend of polio disease distribution around the study area. The incidence rate of polio disease through mapping depicted uneven distribution of poliovirus in affected districts of Pakistan. Spatial statistics are used to perform Moran's I test and it measured considerable positive spatial autocorrelation of polio disease incidences for previous four successive years. | Format: Paperback | Language/Sprache: english | 76 pp. Nº de ref. de la librería K9783659784149

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Descripción LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Estado de conservación: Neu. Neuware - Pakistan is one of the countries in the world, who is affected with polio virus. The main objective of this present study was applying spatial statistics to examine the spatiotemporal patterns and areas of hotspot detection for describing the pattern of polio disease in Pakistan. In this study, statistical data smoothing process was used to decrease noise in polio records which is registered at a district level from 2011 to 2014. Moran's I (Spatial analysis method) was applied to measure spatial association in polio disease distribution in study area and examined how districts were spread or clustered. Getis-Ord Gi (d) statistics was utilized for the identification of cold spot and hotspot within study area and IDW technique applied for Interpolation. This predicts the trend of polio disease distribution around the study area. The incidence rate of polio disease through mapping depicted uneven distribution of poliovirus in affected districts of Pakistan. Spatial statistics are used to perform Moran's I test and it measured considerable positive spatial autocorrelation of polio disease incidences for previous four successive years. 76 pp. Englisch. Nº de ref. de la librería 9783659784149

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Descripción LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Estado de conservación: Neu. Neuware - Pakistan is one of the countries in the world, who is affected with polio virus. The main objective of this present study was applying spatial statistics to examine the spatiotemporal patterns and areas of hotspot detection for describing the pattern of polio disease in Pakistan. In this study, statistical data smoothing process was used to decrease noise in polio records which is registered at a district level from 2011 to 2014. Moran's I (Spatial analysis method) was applied to measure spatial association in polio disease distribution in study area and examined how districts were spread or clustered. Getis-Ord Gi (d) statistics was utilized for the identification of cold spot and hotspot within study area and IDW technique applied for Interpolation. This predicts the trend of polio disease distribution around the study area. The incidence rate of polio disease through mapping depicted uneven distribution of poliovirus in affected districts of Pakistan. Spatial statistics are used to perform Moran's I test and it measured considerable positive spatial autocorrelation of polio disease incidences for previous four successive years. 76 pp. Englisch. Nº de ref. de la librería 9783659784149

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Descripción LAP Lambert Academic Publishing Okt 2015, 2015. Taschenbuch. Estado de conservación: Neu. This item is printed on demand - Print on Demand Neuware - Pakistan is one of the countries in the world, who is affected with polio virus. The main objective of this present study was applying spatial statistics to examine the spatiotemporal patterns and areas of hotspot detection for describing the pattern of polio disease in Pakistan. In this study, statistical data smoothing process was used to decrease noise in polio records which is registered at a district level from 2011 to 2014. Moran's I (Spatial analysis method) was applied to measure spatial association in polio disease distribution in study area and examined how districts were spread or clustered. Getis-Ord Gi (d) statistics was utilized for the identification of cold spot and hotspot within study area and IDW technique applied for Interpolation. This predicts the trend of polio disease distribution around the study area. The incidence rate of polio disease through mapping depicted uneven distribution of poliovirus in affected districts of Pakistan. Spatial statistics are used to perform Moran's I test and it measured considerable positive spatial autocorrelation of polio disease incidences for previous four successive years. 76 pp. Englisch. Nº de ref. de la librería 9783659784149

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Descripción LAP Lambert Academic Publishing, United States, 2015. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****.Pakistan is one of the countries in the world, who is affected with polio virus. The main objective of this present study was applying spatial statistics to examine the spatiotemporal patterns and areas of hotspot detection for describing the pattern of polio disease in Pakistan. In this study, statistical data smoothing process was used to decrease noise in polio records which is registered at a district level from 2011 to 2014. Moran s I (Spatial analysis method) was applied to measure spatial association in polio disease distribution in study area and examined how districts were spread or clustered. Getis-Ord Gi* (d) statistics was utilized for the identification of cold spot and hotspot within study area and IDW technique applied for Interpolation. This predicts the trend of polio disease distribution around the study area. The incidence rate of polio disease through mapping depicted uneven distribution of poliovirus in affected districts of Pakistan. Spatial statistics are used to perform Moran s I test and it measured considerable positive spatial autocorrelation of polio disease incidences for previous four successive years. Nº de ref. de la librería AAV9783659784149

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