Time series analysis of malaria cases in the Berekum municipality

dc.contributor.authorKissiwaa, Vivian
dc.contributor.author
dc.date.accessioned2021-06-28T09:34:04Z
dc.date.accessioned2023-04-19T04:02:25Z
dc.date.available2021-06-28T09:34:04Z
dc.date.available2023-04-19T04:02:25Z
dc.date.issuedSEPTEMBER, 2019
dc.descriptionA thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology, in partial fufillment of the requirement for the degree of Msc. Applied Statisticsen_US
dc.description.abstractHealth is a very essential aspect of human life. It is however imperative to know that one of the endemic diseases which deteriorates our health, Malaria poses a threat to 40% of the world’s population. In Ghana, it has become one of the leading causes of mortality and morbility particularly among pregnant women and children under five years. This research, therefore, sought to model the trend of Malaria cases from 2011 to 2015 and to forecast the incidence of Malaria cases for the years 2016 to 2018. The time series methods were used to explore the historical pattern of the variable of interest. The study adopted quantitative research approach and design. The pragmatic worldview as an interpretive framework which made use of quantitative methods in collecting data from the Berekum Municipal Hospital. Data collected during the study showed three trends from 2011 to 2017. From 2011-2013, a similar trend was seen where two peaks were recorded in a year (the middle and towards the end of the year) being the highest cases of malaria recorded. It further declined from 2014 to 2015 and continued for the predicted time series cases from 2016 to 2017. Therefore the community should expect a decline in malaria cases in subsequent years but there should be a system to monitor the trend in case there is any change. The trend of malaria cases should be modeled for different localities since climate factors may affect the prevalence and incidence of malaria.en_US
dc.description.sponsorshipKNUSTen_US
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/14151
dc.language.isoen_USen_US
dc.subjectMalariaen_US
dc.subjectHealthen_US
dc.subjectGhanaen_US
dc.titleTime series analysis of malaria cases in the Berekum municipalityen_US
dc.typeThesisen_US
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