DETECTING DISEASE

Stephen Reames

ISBN 10: 3843368945 / ISBN 13: 9783843368940

Published by LAP LAMBERT Academic Publishing Okt 2010, 2010

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -There is currently no effective tool available to quickly and economically measure a change in landmass in the setting of biomedical professionals and environmental specialists. The purpose of this study is to structure and demonstrate a statistical change- detection method using remotely sensed data that can detect the presence of an infectious land borne disease. Data sources included the Texas Department of Health database, which provided the types of infectious land borne diseases and indicated the geographical area to study. A method was developed to identify statistically the severity of changes of the landmass over a three-year period. Data analysis included using a unique statistical detection procedure to measure the severity of change in landmass when a disease was not present and when the disease was present. The statistical detection method was applied to two different remotely sensed platform types and again to two like remotely sensed platform types. The results indicated that when the statistical change detection method was used for two different types of remote sensing mediums (i.e.- digital orthophoto quadrangle and aerial videography)VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch.

Seller Inventory # 9783843368940

Bibliographic Details

• Title: DETECTING DISEASE
• Publisher: LAP LAMBERT Academic Publishing Okt 2010
• Publication Date: 2010
• Language: English
• ISBN 10: 3843368945
• ISBN 13: 9783843368940
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 10D millimeters 220 millimeters width by 150 millimeters height by 10 millimeters depth
• Weight: 250 grams

About this title

Synopsis

There is currently no effective tool available to quickly and economically measure a change in landmass in the setting of biomedical professionals and environmental specialists. The purpose of this study is to structure and demonstrate a statistical change- detection method using remotely sensed data that can detect the presence of an infectious land borne disease. Data sources included the Texas Department of Health database, which provided the types of infectious land borne diseases and indicated the geographical area to study. A method was developed to identify statistically the severity of changes of the landmass over a three-year period. Data analysis included using a unique statistical detection procedure to measure the severity of change in landmass when a disease was not present and when the disease was present. The statistical detection method was applied to two different remotely sensed platform types and again to two like remotely sensed platform types. The results indicated that when the statistical change detection method was used for two different types of remote sensing mediums (i.e.- digital orthophoto quadrangle and aerial videography)

About the Author

Dr. Steve Reames, Fulbright Scholar (2006-2007), has taught in higher education since 1989. Graduated with a Ph.D. in Information Science from the University of North Texas and is a retired tenured professor from the Texas Tech University System. He researches environmental impact on society and global information interchange