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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/781

Title: Assessing the impact of the Anglogold Ashanti integrated malaria control programme on the number of malaria reported cases in the Obuasi municipality
Authors: Aabeyir, Boniface
Issue Date: 11-Aug-2010
Abstract: AngloGold Ashanti, a mining company in Obuasi realized the threat the malaria posed to its operation so it launched an intervention programme called integrated malaria programme. This research was aimed at assessing the impact of the programme on the number of reported cases over the five-year period of its implementation, formulating an autoregressive integrated moving average model for checking the trend of reported cases and finding ways of improving on the effectiveness of the programme. Secondary data on reported cases of the diseases was collected from the municipal health directorate and questionnaires were given to the four main hospitals in the municipality to seek their opinions on the effectiveness or otherwise of the programme. The management of the programme was given a questionnaire to find out the challenges encountered by the programme. Method of comparing two population means was used to compare the average monthly reported and statistical package was used to formulate an integrated autoregressive moving average model for forecasting the number of malaria reported cases. The results indicated that there is decreasing trend in the number of reported cases. Hence, the programme is having a positive impact on the number of reported cases. The model developed for forecasting the number of reported cases is . This model is recommended to the malaria control programme, municipal health directorate and researchers who want to monitor the malaria reported cases in the municipality. The programme is having positive impact on the number of malaria reported cases bin the municipality. Health facilities in the municipality should adopt the surveillance system put in place by the malaria control programme which is aimed at tracking communities with high number of reported cases.
Description: A Thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement for the degree of Master of Science, 2010
URI: http://hdl.handle.net/123456789/781
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