Consider a population (or more precisely a population density) of size N in a small city in the former  Soviet Union, which is completely susceptible to a rare disease known as Suriv-Sugob-A, named after a  Russian admiral who was the first to contract the disease after an encounter with indigenous people in the  Siberian rain forest. The disease is transmitted by droplets through the air or direct contact. It has a  transmission coefficient of ?, which is the probability of successful transmission once a susceptible  individual is exposed. The corresponding recovery period is 1/? days. Suppose you are in charge of managing an immunization campaign to protect against an outbreak of Suriv[1]Sugob-A. Assume the following disease characteristics: ? = 1 ×10-6

Algebra and Trigonometry (6th Edition)
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ISBN:9780134463216
Author:Robert F. Blitzer
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ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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Consider a population (or more precisely a population density) of size N in a small city in the former 

Soviet Union, which is completely susceptible to a rare disease known as Suriv-Sugob-A, named after a 

Russian admiral who was the first to contract the disease after an encounter with indigenous people in the 

Siberian rain forest. The disease is transmitted by droplets through the air or direct contact. It has a 

transmission coefficient of ?, which is the probability of successful transmission once a susceptible 

individual is exposed. The corresponding recovery period is 1/? days.

Suppose you are in charge of managing an immunization campaign to protect against an outbreak of Suriv[1]Sugob-A. Assume the following disease characteristics:

? = 1 ×10-6

, ? = .25, and a population of N = 750,000.

 

Please Answer (A)

(a)  determine the length of the outbreak if your

entire population is susceptible. 

**Deriving \( R_0 \)**

The change in infected individuals (\( \Delta I \)) is given by the formula:

\[ \Delta I = \gamma I_t \left( \frac{\alpha S_t}{\gamma} - 1 \right) \]

The basic reproduction number (\( R_0 \)) is calculated as:

\[ R_0 = \frac{\alpha}{\gamma} S_0 \]

### Implications of \( R_0 \):

- If \( R_0 > 1 \): There is a possible **Epidemic**.
- If \( R_0 = 1 \): The situation is **Endemic**.
- If \( R_0 < 1 \): The cases are **isolated**. 

The arrow pointing in the visual suggests the flow or change indicated by the values of \( R_0 \).
Transcribed Image Text:**Deriving \( R_0 \)** The change in infected individuals (\( \Delta I \)) is given by the formula: \[ \Delta I = \gamma I_t \left( \frac{\alpha S_t}{\gamma} - 1 \right) \] The basic reproduction number (\( R_0 \)) is calculated as: \[ R_0 = \frac{\alpha}{\gamma} S_0 \] ### Implications of \( R_0 \): - If \( R_0 > 1 \): There is a possible **Epidemic**. - If \( R_0 = 1 \): The situation is **Endemic**. - If \( R_0 < 1 \): The cases are **isolated**. The arrow pointing in the visual suggests the flow or change indicated by the values of \( R_0 \).
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