Surveying HIV/AIDS Incidence in Sudan
The present paper introduces results of an analysis conducted on data collected from Khartoum state for the yea 2009. It aims to apply statistical models for the HIV/AIDS data in Khartoum state centers of testing blood and counseling. AIDS is recognized as an emerging disease only in the early 1980s, AIDS has rapidly established itself throughout the world, and is likely to endure and persist well into the 21s century. AIDS has evolved from a mysterious illness to a global pandemic which has infected tens of millions less than 20 years. The importance of the study is to emphasize that the disease exists even under the special conditions of the country and its status. The study constructs three main hypotheses that non-linear models fit the HIV/AIDS data well especially binary logistic regression. Moreover, it is assumed that demographic variables affect the HIV/AIDS incidence in Khartoum state. It is also assumed that incidences of HIV/AIDS are increasing as manifested among volunteers in the three centers Khartoum, Khartoum North, and Omdurman. The main objective of the paper was to apply statistical models for HIV/AIDS in Khartoum state so as to obtain a good analysis, beside other sub objectives. Data were from secondary sources and volunteers centers for blood testing and counseling inside Omdurman, Khartoum, and Khartoum North teaching hospitals. Also data were collected through questionnaires designed to get all the information registered inside the three centers. The main idea of analysis was to apply and identify statistical model that related to AIDS by using statistical packages to construct the models depends on the collected data about HIV/AIDS of Khartoum state. The focus was on binary logistic regression, because it’s suitable to the data collected from the three centers inside the three hospitals in Khartoum. Estimated coefficients and statistical tests were conducted to distinguish between the variables that related to HIV/AIDS incidence and spread through people in the three cities Khartoum, Khartoum North, and Omdurman. It is concluded that there is no effect of education level on n HIV/AIDS infection for the data collected from Omdurman. However, there is dependency between HIV/AIDS incidence and occupation of volunteers. So the job of individuals affects the HIV/AIDS incidence inside Omdurman area. Also there is an association between HIV/AIDS incidence and social status of individuals. High numbers of positive HIV/AIDS in Omdurman center are among married people.
|Date of creation:||2011|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Markus Haacker, 2002. "Modeling the Macroeconomic Impact of HIV/AIDS," IMF Working Papers 02/195, International Monetary Fund.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:31781. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.