exponential growth equation in matlab
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Use the exponential growth equation to understand how it spreads
Coronavirus, and also in order to understand a number
Potential casualties on a specific day. If we come back
The exponential growth equation, what we're interested in knowing is
The growth rate of the virus and what are the factors
Associated with it which will only be two factors - from
The door to simplification. These factors are the average
For people who will be met by an infected person
Virus every day and let's call this factor the symbol
E, and the probability that each exposure leads to an injury
Let's call this factor a symbol. Hence and for
Predict the number of people infected with the Coronavirus
Day
What, we can use the exponential growth equation as
Follows:
No = (1 + E.p) ºn.
+
Na = (1 + E.p) ºn.
d
The symbol Nd represents the number of people infected with a virus
Corona has a day, and the symbol NO represents the number of people
Infected with the virus when the expectation begins, and in this state
Suppose it is March 6, and that means the number of infections
Outside China, there are 21,395 injuries. The last one represents the fish
E.p growth rate, which will be taken to be equal
The value of 1.15 is approximately equal to the rate value
Virus-specific real growth.
Now suppose the current growth rate will remain at
His condition, and let's try to calculate the number of possible infections
Outside China, we consider March 6 as the date
For a start, when using the exponential growth equation
And enter all available information about the virus
On this date, the first thing we'll notice is
Injuries will increase at a rate of 10 times every 16 days
That number
댓글 수: 2
James Tursa
2020년 12월 22일
What have you done so far? What specific problems are you having with your code?
답변 (1개)
Jesús Zambrano
2020년 12월 23일
It will be difficult to help you by starting from scratch here. I can refer you this implementation of COVID-19 modeling so you can read it and get inspiration for your particular implementation:
Hope it helps!
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