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_9
Snippet: The desired population is divided into compartments susceptible infected and recovered. Each individual in the entire population(N) is assigned to any of the three compartments. Susceptible . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity......
Document: The desired population is divided into compartments susceptible infected and recovered. Each individual in the entire population(N) is assigned to any of the three compartments. Susceptible . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
Search related documents:
Co phrase search for related documents- entire individual and International license: 1
- entire individual and susceptible infect: 1
- recover susceptible infect and susceptible infect: 1, 2
Co phrase search for related documents, hyperlinks ordered by date