COVID-19 patients' interracial prevalence analysis: A statistically analysed distribution study
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COVID-19, Survey on Peak Pandemic Months, Intra-Continental and Intercontinental Data Distribution, Statistical Resolution, Dietary Factor Evolved
Abstract
The objective of this study is inspired from the immeasurable difference of COVID-19 incidence data between African & Indian population at peak prevalence month of its pandemic. Raw data analysis of Africa and India was schemed when COVID-19 situation as in peak on pandemic all over the world. The detected data distributions of inter-countries and other countries of Africa were comparatively studied on statistical basis of Correlation coefficient. The evaluation of p-values, ANOVA study with graphical representation on the comparative basis was carried out and interpreted. The screening of the large variation of data distribution has made uniform to get proper variation. The different mean±SD values are 67.142±69.91, 76.642±66.747 & 77.21±67.0215 and CV of these African countries shows 1.080, 0.90377 & 0.90076 respectively. Thus, ANOVA study showed no significance value, p < .05, where P-value is 0.913928 because of least variations. On the other hand, the % distribution of COVID-19 pandemic represents the wide difference of inter-continental difference of Africa from India, specifically of pie-chart. However, due to vast difference in COVID-19 intercontinental cases on restricted travellers interconnectivity tends to focus our attention to examine dietary roles in COVID-19.
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References
Afolabi, O. A., Abboah-Offei, M., Namisango, E., Chukwusa, E., Oluyase, A. O., Luyirika, E. 2020. Do the clinical management guidelines for Covid-19 in African Countries reflect the African quality palliative care standards? A rapid review. Bull World Health Organ, 61(5):e17–e23.
Belkhadir, J. 2020. COVID-19 and diabetes from IDF MENA region. Diabetes Research and Clinical Practice, 166:108277. ISSN: 0168-8227.
Coetzee, A., Taljaard, J. J., Hugo, S. S., Conradie, M., Conradie-Smit, M., Dave, J. A. 2020. Diabetes mellitus and COVID-19: A review and management guidance for South Africa. South African Medical Journal, 110(8):761–766.
John, J. E., John, N. A. 2020. Imminent risk of COVID-19 in diabetes mellitus and undiagnosed diabetes mellitus patients. Pan African Medical Journal, 36(158).
Lone, S. A., Ahmad, A. 2020. COVID-19 pandemic – an African perspective. Emerging Microbes and Infections, 9(1):1300–1308.
Naude, C. 2013. Would an increase in vegetable and fruit intake help to reduce the burden of nutrition- related disease in South Africa? An umbrella review of the evidence. South African Journal of Clinical Nutrition, 26(3):104–114. ISSN: 1607-0658, 2221-1268.
Oldewage-Theron, W. H., Kruger, R. 2008. Food Variety and Dietary Diversity as Indicators of the Dietary Adequacy and Health Status of an Elderly Population in Sharpeville, South Africa. Journal of Nutrition for the Elderly, 27(1-2):101–133. ISSN: 0163-9366, 1540-8566.
Olusola, A., Olusola, B., Onafeso, O. 2020. Early geography of the coronavirus disease outbreak in Nigeria. Geo Journal. Published on: 13 August 2020.
Steyn, N. P., Mann, J., Bennett, P. H., Temple, N., Zimmet, P., Tuomilehto, J., Lindström, J., Louheranta, A. 2004. Diet, nutrition and the prevention of type 2 diabetes. Public Health Nutrition, 7(1a):147–165. ISSN: 1368-9800, 1475-2727.
Teuscher, T., Rosman, J. B., Baillod, P., Teuscher, A. 1987. Absence of Diabetes in a Rural west African Population with a High Carbohydrate/Cassava Diet. The Lancet, 329:765–768. ISSN: 0140-6736.
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