Instantaneous
Rate of Change: Severe Acute Respiratory Syndrome Death in Hong Kong
Introduction
On 12 March 2003, the World Health Organization issued a
global alert on atypical pneumonia, called severe acute respiratory syndrome, after
numerous reports of outbreaks from China, Singapore, Vietnam, Thailand,
Indonesia, Taiwan, Philippines, Canada, Germany, and the United States (Severe).
On 17 March 2003, your hometown Hong Kong also became a city under siege.
Severe acute respiratory syndrome, also known as SARS, is a
respiratory illness caused by SARS-associated coronavirus, According to the
World Health Organization, a total of 8,098 people worldwide became sick with
SARS during the 2003 outbreak. Of these, a total of 744 people resulted in
death with the majority of cases and deaths found in Hong Kong.
As a student who is concerned about the rate this outbreak
will be happening, you have decided to use your knowledge in calculus in order
to answer the question of “ Assuming that March 17th is t=0, what is
the instantaneous rate of change at t=5?”
Data
Date
|
Day
|
Cumulative
number of Death(s)
|
March 17
|
Day 1
|
1
|
March 18
|
Day 2
|
2
|
March 19
|
Day 3
|
7
|
March 20
|
Day 4
|
9
|
March 21
|
Day 5
|
19
|
March 22
|
Day 6
|
26
|
March 23
|
Day 7
|
30
|
Slopes of the Secant Lines
This can be
found using the slope formula. Since I wanted to find what happens when t=5, I
used the ordered pair (5,19) and another pair that was nearby. In this case, I
will use t=4, t=6, and t=7.
t=3 to t=5
(3,7) to (5,19)
(19 – 7) / (5-3)
= 6
t = 4 to t =5
(4, 9) to (5,19)
(19-9) / (5-4) =
10
t = 5 to t = 6
(5,19) to (6, 26)
(26-19)/(6-5)= 7
t= 5to t=7
(5,19) to (7,30)
(30-19) / (7-5)=
5.5
From the result,
it can be seen that the secant lines of the left side of t=5 were getting
bigger (from 6 to 13). The secant lines
of the right side of t=5 were getting larger as well (from 5.5 to 7). Hence, it
can be seen that the average number of deaths is increasing. Interestingly, the rate of change is slowing down after the fifth day. This may be caused by the fact that it takes longer for people to die than to catch the disease. Moreover, as death rates are increasing, hospitals probably began to employ different medications in
order to slow down the death rates. Hence, people lives continue to be taken away, but in a much slower rate than the first four days since the outbreak. Moreover, the calculation shows that interval of IRC should be within the interval
of (7, 10), and the average of the two values is 8.5. So the IRC that I should
get later on should be around 8.5.
Tangent Line
IRC
Based on the
tangent line, I chose the point (5,19) and (6,27) to calculate the slope of the
tangent line
(27 – 19) /
(6-5) = 8
The slope of the
line represents the instantaneous rate of change, which is the rate of change
at the specific point. Hence, the IRC is also the derivative at t=5. In this
case, the rate of change in deaths caused by SARS is approximately 8 deaths per
day. Or in other words, 8 means that by the fifth days since the outbreak, the
death caused by SARS is increasing at a rate of 8 deaths per day.
Conclusion
I know 8, or 8
deaths per day, is my IRC because the rate of change determined by the ARC
using secant lines were approaching 8.
Moreover, my IRC that I calculated (8) falls within the range (7,10) as
predicted by my ARC.
Your post is professional and it presents a different way to approach this activity. It is original. The experiment that you chose is interesting, and I like the way you used it for this activity. The information is well displayed and your explanation in each graph is neat and supported by the data. The math is correct (as far as I know.) I really like this post.
ReplyDeletethis comment is perfect, paula. encouraging and analytical. =]
Deleteprofessor little
This is so interesting. I didn't know any of this information and I enjoyed it being presented in this manner. Great job!
ReplyDeleteReally nice, you did a great job going in depth and I appreciate the clean graphs and tables. You did a 110% effort, you can tell.
ReplyDeleteWow! You did an amazing job presenting and analyzing your application. Your data makes sense, and is supported by your graphs, secants, and tangent.
ReplyDeleteI like that you did the graphs on the computer, it makes it so much easier to read and interpret the data. It's clear you put a lot of thought and effort into this and you chose a topic that we could actually learn something new from.
ReplyDeletei agree, stacey. amy really met the standard of "learning from each other" in this post.
Deleteprofessor little
amy,
ReplyDeletethis is excellent! i like that you chose a current topic and you really drew me in to wanting to read more about this topic through your introduction! your graphs are great, as well as your calculations. i like that you thoroughly explained your results AND i like how you calculated secant lines on EACH side of the point t = 5 days to really show the zooming effect of the IRC. how interesting this kind of analysis would be surrounding the ebola outbreak!
the only thing that i saw that was missing is your units in your secant calculations. other than that, fantastic job! =]
professor little