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|Title: ||Time Series Analysis on Syphilis in Asikuma Ododen Brakwa District|
|Authors: ||Dzimabe, William Bob Kwame Hudzafor|
|Issue Date: ||21-Dec-2012|
|Abstract: ||Syphilis has re-emerged as a global public health issue. In lesser developed countries, millions of people are contracting the disease which can be fatal without access to proper treatment. This thesis has been aimed to study the behavior pattern and trend in syphilis cases in the Asikuma Odoben Brakwa district in the Central Region. The best model among various ARIMA models was chosen which possess high power of predictability for forecasting the syphilis prevalent rate between the female and males in Asikuma Odoben Brakwa district from 2007 to 2011. Finally the data for the positive cases for both male and female from 2007 – 2011 was examined. The Box–Jenkins method for analyzing Time Series was used in the research finding. The model was ARIMA(1,1,1)〖(0,1,1)〗_() was selected to be the best model to forecast syphilis cases in the district.
|Description: ||A thesis submitted to the Institute of Distance Learning, Kwame Nkrumah University of Science and Technology in partial fulfilment of the requirements for the award of Master of Science degree in Industrial Mathematics, December-2012|
|Appears in Collections:||Distance Learning|
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