Selected article for: "model predict and predict number"
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_64
    Snippet: For this test model we shall only predict the number of deaths in only one region (Kampala metropolitan area that includes people in Kampala and Wakiso districts, as per the data obtained from Uganda national Bureau of Statistics. Statistics were established on how the population in the region is distributed based on the age brackets of 2-20, 20 -64, 64 and above as shown in the table below. The general death rate of all infected individuals arou.....
    Document: For this test model we shall only predict the number of deaths in only one region (Kampala metropolitan area that includes people in Kampala and Wakiso districts, as per the data obtained from Uganda national Bureau of Statistics. Statistics were established on how the population in the region is distributed based on the age brackets of 2-20, 20 -64, 64 and above as shown in the table below. The general death rate of all infected individuals around the globe is estimated to be at 3.4%. However, data generated from Chinese center for disease control estimates people of different age brackets to have different death rates as shown in the graph below. In our own predictions we match the death rates to the people living in Kampala metropolitan area.

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