Question

3. Consider the following data (table 1) reported during an outbreak of bubonic plague in Eyam, England. It can be described by the SIR model without demographics. (2) \frac{dS}{dt} = -\beta SI, \frac{dI}{dt} = \beta SI - \gamma I, \frac{dR}{dt} = \gamma I, where $S(0) = 254$ and $I(0) = 7$. (a) For $\beta = 0.0134$ and $\gamma = 2.19$ plot the model and the data. TABLE 1. Bubonic plague from year 1666. Date (1666) Susceptibles Infectives July 3/4 235 14.5 July 19 201 22 August 3/4 153.5 29 August 19 121 21 September 3/4 108 8 September 19 97 8 October 20 83 0 (b) Explain why this is not a good model by researching the way bubonic plague is transmitted. Write a more realistic model for this outbreak and plot its solutions.

          3. Consider the following data (table 1) reported during an outbreak of bubonic plague in Eyam, England. It can be described by the SIR model without demographics.
(2)
\frac{dS}{dt} = -\beta SI,
\frac{dI}{dt} = \beta SI - \gamma I,
\frac{dR}{dt} = \gamma I,
where $S(0) = 254$ and $I(0) = 7$.
(a) For $\beta = 0.0134$ and $\gamma = 2.19$ plot the model and the data.
TABLE 1. Bubonic plague from year 1666.
Date (1666) Susceptibles Infectives
July 3/4 235 14.5
July 19 201 22
August 3/4 153.5 29
August 19 121 21
September 3/4 108 8
September 19 97 8
October 20 83 0
(b) Explain why this is not a good model by researching the way bubonic plague is transmitted. Write a more realistic model for this outbreak and plot its solutions.
        
Show more…
3. Consider the following data (table 1) reported during an outbreak of bubonic plague in Eyam, England. It can be described by the SIR model without demographics.
(2)
(dS)/(dt) = -βSI,
(dI)/(dt) = βSI - γI,
(dR)/(dt) = γI,
where S(0) = 254 and I(0) = 7.
(a) For β = 0.0134 and γ = 2.19 plot the model and the data.
TABLE 1. Bubonic plague from year 1666.
Date (1666) Susceptibles Infectives
July 3/4 235 14.5
July 19 201 22
August 3/4 153.5 29
August 19 121 21
September 3/4 108 8
September 19 97 8
October 20 83 0
(b) Explain why this is not a good model by researching the way bubonic plague is transmitted. Write a more realistic model for this outbreak and plot its solutions.

Added by Rebecca T.

Close

Calculus: Early Transcendentals
Calculus: Early Transcendentals
James Stewart 8th Edition
AceChat toggle button
Close icon
Ace pointing down

Please give Ace some feedback

Your feedback will help us improve your experience

Thumb up icon Thumb down icon
Thanks for your feedback!
Profile picture
Consider the following data (Table 1) reported during an outbreak of bubonic plague in Eyam, England. It can be described by the SIR model without demographics. dP/dt = -BSI dI/dt = 3SI - I dR/dt = I where S(0) = 254 and I(0) = 7. (a) For β = 0.0134 and γ = 2.19, plot the model and the data. TABLE 1. Bubonic plague from year 1666 Date (1666) Susceptibles Infectives July 3/4 235 14.5 July 19 201 22 August 3/4 153.5 29 August 19 121 21 September 3/4 108 8 September 19 97 8 October 20 83 0 (b) Explain why this is not a good model by researching the way bubonic plague is transmitted. Write a more realistic model for this outbreak and plot its solutions.
Close icon
Play audio
Feedback
Powered by NumerAI
David Collins Danielle Fairburn
Jennifer Stoner verified

Ankit Gupta and 61 other subject Calculus 1 / AB educators are ready to help you.

Ask a new question

*

Labs

-

Want to see this concept in action?

NEW

Explore this concept interactively to see how it behaves as you change inputs.

View Labs

*

Key Concepts

-
Key Concept
Premium Feature
Explore the core concept behind this problem.
Play button
Key Concept
Premium Feature
Explore the core concept behind this problem.
Your browser does not support the video tag.

*

Recommended Videos

-
in-1666-the-village-of-eyam-located-in-england-experienced-an-outbreak-of-the-great-plague-out-of-26

In 1666 the village of Eyam, located in England, experienced an outbreak of the Great Plague. Out of 261 people in the community, only 83 survived. The table shows a function $f$ that computes the number of people who had not (yet) been infected after $x$ days. $$\begin{array}{|c|r|r|r|r|}\hline x & 0 & 15 & 30 & 45 \\\hline f(x) & 254 & 240 & 204 & 150 \\\hline\end{array}$$ $$\begin{array}{|c|c|c|c|c|}\hline x & 60 & 75 & 90 & 125 \\\hline f(x) & 125 & 103 & 97 & 83\\\hline\end{array}$$ (a) Use a table to represent a function $g$ that computes the number of people in Eyam who were infected after $x$ days. (b) Write an equation that shows the relationship between $f(x)$ and $g(x)$ (c) Use graphing to decide which equation represents $g(x)$ better $y_{1}=\frac{171}{1+18.6 e^{-0.0747 x}}$ or $y_{2}=18.3(1.024)^{x}$ (d) Use your results from parts (b) and (c) to find a formula for $f(x)$

A Graphical Approach to College Algebra

Inverse, Exponential, and Logarithmic Functions

Further Applications and Modeling with Exponential and Logarithmic Functions

identity-and-discuss-a-bacterial-disease-that-caused-a-historically-important-plague-or-epidemic-wha

Identity and discuss a bacterial disease that caused a historically important plague or epidemic. What is the modern distribution of this disease? a. Bubonic plague caused by Yersinia pestis was a pandemic that occurred in the 14th century. In modern times, there are only about 100 cases of bubonic plague each year. The bacterium responds well to modern antibiotics. b. Bubonic plague caused by Yersinia enterocolitica was a pandemic that occurred in the 14 th century. In modern times, there are about $1,000$ to $3,000$ cases of bubonic plague each year. The bacterium responic plague modern antibiotics. c. Pneumonic plague caused by Yersinia pestis was a pandemic that occurred in the 14 th century. In modern times, there are about $1,000$ to $3,000$ cases of pneumonic plague each year. The bacterium responds well to modern antibiotics. d. Bubonic plague caused by Yersinia pestis was a pandemic that occurred in the 14th century. In modern times, there are about $1,000$ to $3,000$ cases of bubonic plague each year. The bacterium responds well to modern antibiotics.

Biology for AP Courses

differential-equations-can-be-used-to-model-disease-epidemics-in-the-next-set-of-problems-we-exami-4

Differential equations can be used to model disease epidemics. In the next set of problems, we examine the change of size of two sub-populations of people living in a city: individuals who are infected and individuals who are susceptible to infection. $S$ represents the size of the susceptible population, and $I$ represents the size of the infected population. We assume that if a susceptible person interacts with an infected person, there is a probability $c$ that the susceptible person will become infected. Each infected person recovers from the infection at a rate $r$ and becomes susceptible again. We consider the case of influenza, where we assume that no one dies from the disease, so we assume that the total population size of the two sub-populations is a constant number, $N$. The differential equations that model these population sizes are $$S^{\prime}=r I-c S I \quad \text { and} $$ $$I^{\prime}=c S I-r I.$$ Here $c$ represents the contact rate and $r$ is the recovery rate. Draw the directional field

Calculus Volume 2

Introduction to Differential Equations

Direction Fields and Numerical Methods


*

Recommended Textbooks

-
Calculus: Early Transcendentals

Calculus: Early Transcendentals

James Stewart 8th Edition
achievement 1,241 solutions
Calculus: Early Transcendentals

Calculus: Early Transcendentals

William Briggs, Lyle Cochran, Bernard Gillet 3rd Edition
achievement 1,671 solutions
Thomas Calculus

Thomas Calculus

George B. Thomas Jr. 14th Edition
achievement 1,059 solutions

*

Transcript

-
00:01 So hello student now we are going to understand this question and i just solve here and look because there's nothing to solve here it is already given everything in the table.
00:12 So it is given in table that now gx it is used the table to represent function g that compute the number of people who were infected after x -dase.
00:30 So these are this formula we have generated the people are affected after x -ds.
00:37 So just subtract fx from 261 will get gx the people affected after accident...
Need help? Use Ace
Ace is your personal tutor. It breaks down any question with clear steps so you can learn.
Start Using Ace
Ace is your personal tutor for learning
Step-by-step explanations
Instant summaries
Summarize YouTube videos
Understand textbook images or PDFs
Study tools like quizzes and flashcards
Listen to your notes as a podcast
Continue solving this problem
Create a free account to:
  • View full step-by-step solution
  • Ask follow-up questions with Ace AI
  • Save progress and study later
Continue Free
Join the community

18,000,000+

Students on Numerade


Trusted by students at 8,000+ universities

Numerade

Get step-by-step video solution
from top educators

Continue with Clever
or



By creating an account, you agree to the Terms of Service and Privacy Policy
Already have an account? Log In

A free answer
just for you

Watch the video solution with this free unlock.

Numerade

Log in to watch this video
...and 100,000,000 more!


EMAIL

PASSWORD

OR
Continue with Clever