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Application Of Remotely-Sensed Data For Modeling Malaria Infection In Lokoja, Nigeria, Fanan Ujoh Ph.D, Olarewaju Oluseyi Ifatimehin Ph.D
Application Of Remotely-Sensed Data For Modeling Malaria Infection In Lokoja, Nigeria, Fanan Ujoh Ph.D, Olarewaju Oluseyi Ifatimehin Ph.D
Dr. Fanan Ujoh
Aims: To estimate incidences of malaria infection in an urban setting using Remotely sensed data and matching same with hospital records to validate the use of Remote sensing data as a methodology for studying the prevalence of malaria.
Study Design: Analyses of 2006 Nigeriasat-1 and Land sat ETM+satellite data for modeling malaria infection.
Place and Duration of Study: Lokoja, Capital city of Kogi State in Central Nigeria, between March 2012 and January 2013.
Methodology: Extraction of land use types, NDVI and LST maps using ILWIS 3.3 and Idrisi software. Cross tabulation of extracted maps to carry out correlational analyses while …