data:image/png;base64,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ECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQICLAfIECAAAECgYAAB+gmCRAgQICAAPsBAgQIECAQCAhwgG6SAAECBAgIsB8gQIAAAQKBgAAH6CYJECBAgIAA+wECBAgQIBAICHCAbpIAAQIECAiwHyBAgAABAoGAAAfoJgkQIECAgAD7AQIECBAgEAgIcIBukgABAgQIHLFxAWmhEwHPAAAAAElFTkSuQmCCsickSee the hints page linked on the project page for some explanation of these blocks5.2.3.1 What really matters is the population density but as the area where the population lives in the simulation is fixed, we can safely focus on the effects of population size. A sensible hypothesis would be as population size (density) increases, the rate at which the disease spreads also increase (duration of outbreak decreases).5.2.3.4 Some of the simplifying assumptions:
1) assume population is restricted to a fixed area, in reality population always in flux moving in/out of a locality. (think international travelers for example)
2. assume there is no healing or immunity after infection
3. assume agents continue interacting after infection, in reality the sick will either die or be restricted in movement due to laying in hospital bed etc.).
5.2.3.5 One possible hypothesis: As POPULATION SIZE increases, the duration of outbreak (TIME ELAPSED) will decrease because the rate of infection increases.
5.2.3.6 A graph like an exponential decay is expected.LABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.Hello!121datamapmany1data lists11110i121contcatchtagcontcatchtagSpriteSprite1360-240240-180180false2100225.928