Author: Ali Kyagulanyi; Joel Tibabwetiza Muhanguzi; Oscar Dembe; Sheba Kirabo
Title: RISK ANALYSIS AND PREDICTION FOR COVID19 DEMOGRAPHICS IN LOW RESOURCE SETTINGS USING A PYTHON DESKTOP APP AND EXCEL MODELS. Document date: 2020_4_17
ID: 7okyyb2m_79
Snippet: At B = 0.594 For this simulation a normal sustainable public transport do innated city of Kampala was assumed with very less government action to tackle the disease, for the first twenty days cases are very low and there is less rise mainly because of the incubation period, the sharp rise starts after the twentieth day and the epidemiological peak is reached at around the fourth day , by this time close to a million people may have been exposed o.....
Document: At B = 0.594 For this simulation a normal sustainable public transport do innated city of Kampala was assumed with very less government action to tackle the disease, for the first twenty days cases are very low and there is less rise mainly because of the incubation period, the sharp rise starts after the twentieth day and the epidemiological peak is reached at around the fourth day , by this time close to a million people may have been exposed or contracted the infection and it's until the peak is reached , the cases begin to fall as more people begin to recover or die from the disease. There are no significant recoveries until the fourth day as more and more people start to recover.
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