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_10
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10. 1101 individuals have no immunity to the disease and they can therefore be infected through exposure to the virus or after contact with an infectious person, susceptible individuals can move to infectious after the infection. Infectious people have the disease and can spread it to others, once infectious people recovery they move to recovered. Since .....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10. 1101 individuals have no immunity to the disease and they can therefore be infected through exposure to the virus or after contact with an infectious person, susceptible individuals can move to infectious after the infection. Infectious people have the disease and can spread it to others, once infectious people recovery they move to recovered. Since people can move between the three compartments, the number of people in each compartment changes over time.
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