Disease Lab Simulation

Here is the Disease Lab Simulation, hope it is some help to you!

DISEASE LAB                                                                    Name:_______________________Per: ____

Problem:

How does change in population density affect the spread of influenza in a population?

Hypothesis:

Write your hypothesis with an “if… then…because” statement.  The IF discusses the independent (manipulated) variable and the THEN describes how it affects the spread of the disease.

                                                                                                                                                                                                                                                                                                                                                                         

                                                                                                                                                                                     

Materials:

The Habitable Planet simulator (http://www.learner.org/courses/envsci/interactives/disease/disease_help.php)

Procedure:

1. Open the simulator by entering http://www.learner.org/courses/envsci/interactives/disease/disease_help.php

Or search for “disease lab simulator” and select the link for www.learner.org

2. You will need to set up your variables in the simulator parameters: Set population mixing to none; countermeasure vaccination rate to none.  Record the values in the control table.  Make sure you select Impfluenza for the disease to be tested.
3. Run 10 trials for population density LOW.  Record the sick days reported and # dead in your data table.
4. Reset after each trial before you run another test.  Record sick days and dead in your data table.  Calculate the average sick days and deaths.  
5. Repeat steps 3 and 4 for both MEDIUM and HIGH population density.

Control Table:

Population Mixing
Vaccination Rate

Population Density =                         Population Density =             Population Density =

LOW	Sick Days Reported	Dead		MEDIUM	Sick Days Reported	Dead		HIGH	Sick Days Reported	Dead
Trial 1				Trial 1				Trial 1
Trial 2				Trial 2				Trial 2
Trial 3				Trial 3				Trial 3
Trial 4				Trial 4				Trial 4
Trial 5				Trial 5				Trial 5
Trial 6				Trial 6				Trial 6
Trial 7				Trial 7				Trial 7
Trial 8				Trial 8				Trial 8
Trial 9				Trial 9				Trial 9
Trial 10				Trial 10				Trial 10
Average				Average				Average

 Problem:

How does change in receipt of vaccination affect the spread of influenza in a population?

Hypothesis:

Write your hypothesis with an “if… then…because” statement.  The IF discusses the independent (manipulated) variable and the THEN describes how it affects the spread of the disease.

                                                                                                                                                                                                                                                                                                                                                                         

                                                                                                                                                                                   

Materials:

The Habitable Planet simulator (http://www.learner.org/courses/envsci/interactives/disease/disease_help.php)

Procedure:

1. Open the simulator by entering http://www.learner.org/courses/envsci/interactives/disease/disease_help.php

Or search for “disease lab simulator” and select the link for www.learner.org

1. You will need to setup your variables in the simulator parameters: Set population density to medium and mixing to none. Make sure you select Impfluenza for the disease to be tested.
2. Run 10 trials for vaccination rate LOW (10%).  Record the population number in your data table.
3. Reset after each trial before you run another test.  Record sick days and dead in your data table.  Calculate the average sick days and deaths. 
4. Repeat steps 3 and 4 for both MEDIUM (25%) and HIGH (75%) vaccination rate.
5. Answer the discussion and analysis questions.

Control Table:

Population Number
Population Density
Population Mixing

Vaccination Rate 10%                        Vaccination Rate 25%                        Vaccination Rate 75%

LOW	Sick Days Reported	Dead		MEDIUM	Sick Days Reported	Dead		HIGH	Sick Days Reported	Dead
Trial 1				Trial 1				Trial 1
Trial 2				Trial 2				Trial 2
Trial 3				Trial 3				Trial 3
Trial 4				Trial 4				Trial 4
Trial 5				Trial 5				Trial 5
Trial 6				Trial 6				Trial 6
Trial 7				Trial 7				Trial 7
Trial 8				Trial 8				Trial 8
Trial 9				Trial 9				Trial 9
Trial 10				Trial 10				Trial 10
Average				Average				Average

Discussion and Analysis Questions:

1.     How did your independent variable (density and vaccination rate) affect the number of sick days?  Death toll?

4 Statements needed.

2.     Is your hypothesis supported? (Answer for both!)

3.     Are your results the same each time?  How do the results compare to one another?  

 

4.     How will the spread of disease in Montana compare to spread of disease in an area with higher population density?

5.     Should a person who is ill go to school or the grocery store?  Use lab data to support your answer.

6.     Which variable has the greatest impact on the spread of disease: population density or vaccination rate?