Letter to Editor
Epidemiology
Abdel-Hady El-Gilany
Abstract
This letter is concerned with the term stataphobia, which is an interesting and common among researchers of different disciplines but not well-known type of phobia. Definition, causes, effect on research productivity and how to combat stataphobia are briefly discussed. This letter is concerned with the ...
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This letter is concerned with the term stataphobia, which is an interesting and common among researchers of different disciplines but not well-known type of phobia. Definition, causes, effect on research productivity and how to combat stataphobia are briefly discussed. This letter is concerned with the term stataphobia, which is an interesting and common among researchers of different disciplines but not well-known type of phobia. Definition, causes, effect on research productivity and how to combat stataphobia are briefly discussed. This letter is concerned with the term stataphobia, which is an interesting and common among researchers of different disciplines but not well-known type of phobia. Definition, causes, effect on research productivity and how to combat stataphobia are briefly discussed. This letter is concerned with the term stataphobia, which is an interesting and common among researchers of different disciplines but not well-known type of phobia. Definition, causes, effect on research productivity and how to combat stataphobia are briefly discussed.
Original Article
HIV/AIDS
Samuel Olorunfemi Adams; Haruna Umar Yahaya; Tanimu Mohammed
Abstract
Background: The HIV/AIDS epidemic has made a nasty dent on sub-Saharan Africa’s development and has contributed to discrimination against those who live on the fringes of society or people at risk of contracting virus because of their behaviours, race, ethnicity, gender, sexual orientation or social ...
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Background: The HIV/AIDS epidemic has made a nasty dent on sub-Saharan Africa’s development and has contributed to discrimination against those who live on the fringes of society or people at risk of contracting virus because of their behaviours, race, ethnicity, gender, sexual orientation or social characteristics. Methods: Cluster Analysis techniques were implemented on cluster HIV prevalence rate in Sub- Saharan Africa so as to find out countries that could be considered same category and to investigate the concentration of the disease in respect to Socio-economic status of the country. Analysis was implemented through the general methods of Hierarchical (Agglomerative nesting) and Partitioning methods (K-Means). Relative type of validation was used for cluster validation (a mechanism for evaluating the correctness of clustering). Results: The result shows a steady increase in the prevalence of HIV/AIDs from 1990 (6.74) to 1995(9.13) after which the incidence began to decline to (2.60) in 2018. The analysis created 3 clusters from the 44 observations supplied. After clustering, Only Lesotho and Eswatini belong to the third cluster. South Africa, Zambia, Zimbabwe, Namibia, Malawi, Mozambique and Botswana belong to the second clusters which are the countries with the highest HIV/AID prevalence over the years of this study. All other countries fall in the first cluster. Conclusion: The high prevalence rate of HIV/AIDS in the sub-saharan Africa countries has created an unprecedented effect. So, understanding these variables that have influenced the path of HIV/AIDS scourge constitutes an important stake, both on the humanitarian and economic aspects due to the
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