Question 2 :  Consider a disease for which only 25% of individuals who have become exposed are progressing to  become infectious. However, whether or not an individual becomes infectious can only be determined  after a 5-day latent period. Individuals who are not progressing to become infectious will remain  susceptible. The average time an individual stays infective is 2 days. Also, after an average of 10 days  after having recovered, 10% of recovered individuals will revert to become susceptible again. 90% of the  individuals, however, acquire lifelong immunity.   (a) Develop the transition diagram that depicts the move of individuals between compartments. Hint: you can use PowerPoint or online tool such as https://app.diagrams.net/ to draw the diagram.  The diagram should contain the labels of the stages and have arrows indicating from one stage to  another stage. ******Susceptible, invectives, and recovered individuals in the SIR model are moving through "the compartments " S-I-R. The SIR model is referred to as compartmental model as you move individuals out of one compartment into another. *******

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Question 2 

Consider a disease for which only 25% of individuals who have become exposed are progressing to 

become infectious. However, whether or not an individual becomes infectious can only be determined 

after a 5-day latent period. Individuals who are not progressing to become infectious will remain 

susceptible. The average time an individual stays infective is 2 days. Also, after an average of 10 days 

after having recovered, 10% of recovered individuals will revert to become susceptible again. 90% of the 

individuals, however, acquire lifelong immunity.

 

(a) Develop the transition diagram that depicts the move of individuals between compartments.

Hint: you can use PowerPoint or online tool such as https://app.diagrams.net/ to draw the diagram. 

The diagram should contain the labels of the stages and have arrows indicating from one stage to 

another stage. ******Susceptible, invectives, and recovered individuals in the SIR model are moving through "the compartments " S-I-R. The SIR model is referred to as compartmental model as you move individuals out of one compartment into another. *******

**The Basic Reproduction Number \( R_0 \)**

To initiate an epidemic, an increase in the number of infectives is necessary:

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

**Graph Explanation:**

The accompanying graph illustrates the typical progression of an infectious disease outbreak over time. The y-axis represents the number of infectious individuals, while the x-axis marks the duration of the outbreak.

- **Peak of Outbreak:** Displayed by the highest point on the graph, signifying the maximum number of infectious individuals.
- **Measurement Area:** A small shaded region at the beginning of the outbreak, representing early data collection or initial cases.
- **Outbreak Duration:** The span from the start to the end of the outbreak, depicted by the graph's length on the time axis.

**Conditions for Epidemics:**

- \(\frac{\alpha}{\gamma} S > 1 \Rightarrow \Delta I > 0\): Indicates an increase in infectives, essential for an epidemic.
- \(\frac{\alpha}{\gamma} S = 1 \Rightarrow \Delta I = 0\): Suggests a stable number of infectives with no epidemic growth.
- \(\frac{\alpha}{\gamma} S < 1 \Rightarrow \Delta I < 0\): Reflects a decrease in infectives, leading to the decline of the epidemic.

This framework provides a mathematical basis for understanding how changes in the number of susceptible individuals and the transmission dynamics affect the potential onset of an epidemic.
Transcribed Image Text:**The Basic Reproduction Number \( R_0 \)** To initiate an epidemic, an increase in the number of infectives is necessary: \[ \Delta I = \alpha SI - \gamma I = \gamma \left(\frac{\alpha}{\gamma} S - 1\right) I \] **Graph Explanation:** The accompanying graph illustrates the typical progression of an infectious disease outbreak over time. The y-axis represents the number of infectious individuals, while the x-axis marks the duration of the outbreak. - **Peak of Outbreak:** Displayed by the highest point on the graph, signifying the maximum number of infectious individuals. - **Measurement Area:** A small shaded region at the beginning of the outbreak, representing early data collection or initial cases. - **Outbreak Duration:** The span from the start to the end of the outbreak, depicted by the graph's length on the time axis. **Conditions for Epidemics:** - \(\frac{\alpha}{\gamma} S > 1 \Rightarrow \Delta I > 0\): Indicates an increase in infectives, essential for an epidemic. - \(\frac{\alpha}{\gamma} S = 1 \Rightarrow \Delta I = 0\): Suggests a stable number of infectives with no epidemic growth. - \(\frac{\alpha}{\gamma} S < 1 \Rightarrow \Delta I < 0\): Reflects a decrease in infectives, leading to the decline of the epidemic. This framework provides a mathematical basis for understanding how changes in the number of susceptible individuals and the transmission dynamics affect the potential onset of an epidemic.
**Deriving \( R_0 \)**

The change in the number of infected individuals (\(\Delta I\)) over time is given by the equation:

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

Where:
- \(\Delta I\) is the change in the number of infected individuals.
- \(\gamma\) is the recovery rate.
- \(I_t\) is the number of infected individuals at time \(t\).
- \(\alpha\) is the transmission rate.
- \(S_t\) is the number of susceptible individuals at time \(t\).

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

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

Where:
- \(R_0\) is the basic reproduction number.
- \(S_0\) is the initial number of susceptible individuals.

Interpretations of \(R_0\):
- If \(R_0 > 1\), there is a **possible epidemic**, meaning the infection will likely spread.
- If \(R_0 = 1\), the infection is considered **endemic**, remaining at steady levels.
- If \(R_0 < 1\), there will likely be **isolated cases**, and the infection might die out.

The diagram shows the relationship moving from understanding changes in infection levels to interpreting the significance of \(R_0\) for predicting the spread of an illness.
Transcribed Image Text:**Deriving \( R_0 \)** The change in the number of infected individuals (\(\Delta I\)) over time is given by the equation: \[ \Delta I = \gamma I_t \left( \frac{\alpha S_t}{\gamma} - 1 \right) \] Where: - \(\Delta I\) is the change in the number of infected individuals. - \(\gamma\) is the recovery rate. - \(I_t\) is the number of infected individuals at time \(t\). - \(\alpha\) is the transmission rate. - \(S_t\) is the number of susceptible individuals at time \(t\). The basic reproduction number \(R_0\) is defined as: \[ R_0 = \frac{\alpha}{\gamma} S_0 \] Where: - \(R_0\) is the basic reproduction number. - \(S_0\) is the initial number of susceptible individuals. Interpretations of \(R_0\): - If \(R_0 > 1\), there is a **possible epidemic**, meaning the infection will likely spread. - If \(R_0 = 1\), the infection is considered **endemic**, remaining at steady levels. - If \(R_0 < 1\), there will likely be **isolated cases**, and the infection might die out. The diagram shows the relationship moving from understanding changes in infection levels to interpreting the significance of \(R_0\) for predicting the spread of an illness.
Expert Solution
Step 1: Introduction

Susceptible Infectious Recovered model (SIR) helps in predicting the number of individuals which are susceptible or infected or been recovered from infection. 

Infectious individuals:  25% of individuals are exposed to disease are said to be progressing to become infectious. Decision factor is the latent period of 5 days.

Susceptible individuals: Individuals who are not progressing to become infectious are susceptible to disease.

Average time an individual will be infective =2 days.

Recovered but yet susceptible: 10% of recovered individuals will revert to become susceptible again after 10 days.

Life long acquired immunity: Rest recovered 90% of the individuals will be recovered completely acquiring immunity.

 

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