The spread of coronavirus boils down to a simple math lesson according to Matthew
Cappucci, a meteorologist from Washington D.C. On your own understanding, how would
you apply the key concepts of rational exponents to the spread of coronavirus?
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Answer:
Let's say you spend $10 a day commuting to and from work by public transportation (or at least you did before social distancing). How much might you shell out over time? Neglecting weekends, that's a simple system to model because the total spent goes up by the same amount each day. We call that a linear function, or linear growth. Now let's imagine that while riding to work you happen upon one of those viral challenges circulating around social media, like the wildly popular Ice Bucket Challenge from a few years ago. You decide to complete a task, then tag and challenge three of your friends. The next day, they do it, too. But if each of them tags three friends, suddenly nine people have completed the challenge... then 27 .. and then 81, then 243, and so on each day – all from something that started with you. It's sort of like paying it forward. We call this exponential growth. An exponential growth curve means that with each unit of time, a quantity – in the case of the virus, it's the number of infected individuals – increases in proportion to the running total. In most cases, it takes a while to get going, but before long it's like a runaway train.
Step-by-step explanation:
Matthew Cappucci is a meteorologist for Capital Weather Gang. He earned a B.A. in atmospheric sciences from Harvard University in 2019, and has contributed to The Washington Post since he was 18. A Cape Cod native, Cappucci's fascination of weather traces all the way back to when he was 2 years old and trying to pronounce "wind meter." At 7, he saved his money to purchase a video camera, routinely running outdoors during summertime thunderstorms to capture bolts of lightning on film. When he was 14, Cappucci became the youngest-ever presenter at the American Meteorological Society