How Many People Become Ill with the Flu During the First 10 Days of an Epidemic?

  • Context: Undergrad 
  • Thread starter Thread starter helpm3pl3ase
  • Start date Start date
Click For Summary
SUMMARY

The rate at which individuals become ill with the flu during the initial 10 days of an epidemic is modeled by the equation r = 1000t e^(-t/20). To determine the total number of people who become ill in this period, one must compute the definite integral of this function from 0 to 10 days. The calculated result of this integral is 36,081, confirming that the approximation is accurate given the continuous nature of the function versus the discrete count of individuals.

PREREQUISITES
  • Understanding of calculus, specifically integration techniques
  • Familiarity with exponential functions and their properties
  • Knowledge of mathematical modeling in epidemiology
  • Basic statistics related to population health metrics
NEXT STEPS
  • Study integration techniques for continuous functions in calculus
  • Explore mathematical models used in epidemiology, such as the SIR model
  • Learn about the implications of discrete versus continuous data in health statistics
  • Investigate the impact of flu epidemics on public health policy
USEFUL FOR

Mathematicians, epidemiologists, public health officials, and students studying calculus or epidemiological modeling will benefit from this discussion.

helpm3pl3ase
Messages
79
Reaction score
0
Is this correct??

The rate r at which people become ill with the flu at time t days after
an epidemic begins is given by r = 1000 t e−t/20 people per day. How many
people become ill with the flu during the first 10 days of this epidemic?

take the integral from 0 to 10 of (1000t e^(-t/20)) and then plug in 10 and 0. Then subtract.. getting

36081
 
Physics news on Phys.org
Yes, assuming the information given is what you have said, that's correct. (More correctly,since the function you give is continuous while the number of people is discrete, its the "best approximation".)
 

Similar threads

Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
6
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 16 ·
Replies
16
Views
12K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 14 ·
Replies
14
Views
2K
Replies
9
Views
3K