Vaccine and disease-model lab
Model how a vaccine triggers adaptive immunity and use disease-spread data to test a simple outbreak prediction.
Adaptive immunity diagram, two-scenario disease-model data table, and one comparison sentence.
- 1Do thisModel how a vaccine triggers adaptive immunity and use disease-spread data to test a simple outbreak prediction.
- 2Use this resource
- 3Submit thisLab report: Adaptive immunity diagram, two-scenario disease-model data table, and one comparison sentence.
- 4Submit it here
- 1CMSD website. Go to clevelandmetroschools.org and click the Clever button.
- 2Clever. Clever opens. Sign in if it asks.
- 3Microsoft (district) login. Use your district Microsoft account (the one for school).
- 4Schoology. Open Schoology, then your class, then Assignments, and find the file named below.
The file to submit is named: Genetics of Disease (Medical Interventions) › Auditory anatomy, audiograms, cochlear implants, immune response, vaccine design, herd immunity. › Lab reportOpen Schoology
- CER:
- Claim, Evidence, Reasoning — make a claim, back it with evidence, explain your reasoning.
- SOP:
- Standard Operating Procedure — the exact steps to follow (especially in a lab).
- Tracker:
- Your PLTW progress log where you record completed evidence.
- myPLTW:
- The PLTW course site where you do the online activities — you open it through Schoology.
Minute-by-minute · 80-minute block
💡 Big idea: How does the body's memory of a pathogen stop an outbreak before it starts?
- 0-5Hook curves and safety review for dataset work
- 5-20Draw and label adaptive immune response: antigen in, antibody and memory cell out
- 20-40Open disease-model dataset; identify columns; run two vaccination-rate scenarios
- 40-55Record new-infection counts in data table; calculate difference between rates
- 55-70Write comparison sentence; connect molecular diagram to population curve
- 70-80Save all three artifacts to course shell; teacher debrief
- • Hook: Show two outbreak curves side by side: one unvaccinated population, one at 80% coverage.
- • Why it matters: The same immune logic that protects one person, at population scale, protects those who cannot be vaccinated.
- • Today's work: You diagram the molecular response, then run a model to see it at population scale.
- • Exit goal: Diagram, data table, and comparison sentence saved before the bell.
- 1Diagram the adaptive immune response: antigen, antibody, and memory cell, labeling each step.
- 2Open the disease-model dataset in the shell and identify the columns for infected, recovered, and vaccinated.
- 3Run the model at two vaccination rates and record new infections at each rate in a data table.
- 4Write one sentence comparing how the antibody response and the population data each slow disease spread.
- 5Save your diagram, data table, and comparison sentence as your lab evidence.
- • You'll be able to trace how a vaccine produces antibodies and memory cells.
- • You'll be able to use model data to compare outbreak outcomes at different vaccination rates.
- • Adaptive immunity produces antigen-specific antibodies and long-lived memory B and T cells on first exposure.
- • A vaccine delivers antigen without disease, priming memory cells so the secondary response is faster and stronger.
- • Herd immunity depends on the fraction vaccinated exceeding the threshold derived from R-zero.
Your PLTW work today
Auditory anatomy, audiograms, cochlear implants, immune response, vaccine design, herd immunity. · Vaccine and disease-model lab
Day 3 of this lesson. Open this exact section in myPLTW (reached through Schoology), then do the work below.
Do this: Open Activity 1.4.1 Disease Prevention Through Vaccination in myPLTW and complete the adaptive immunity diagram alongside the disease-model dataset.
Mark the vaccination model activity complete after your antibody diagram and data table are saved.
Audiogram work should be done (Tuesday); immunity diagram and disease-model data table due today.
Adaptive immunity diagram, two-scenario data table, and comparison sentence saved in the course shell.
All PLTW activities are completed inside the PLTW course environment — this page only gives direction. Submit producibles on Schoology.
Today's PLTW tracker
Check things off as you work, then submit. This tells Mr. Mendoza how you're doing so he can help the class. It does not replace turning in your producible on Schoology.
Use the code Mr. Mendoza gave you, not your name. Saved on this device.
Auditory anatomy, audiograms, cochlear implants, immune response, vaccine design, herd immunity. · Vaccine and disease-model lab
Open Activity 1.4.1 Disease Prevention Through Vaccination in myPLTW and complete the adaptive immunity diagram alongside the disease-model dataset.
Audiogram work should be done (Tuesday); immunity diagram and disease-model data table due today.
This is how Mr. Mendoza sees the class keeping pace with PLTW. Be honest, it only helps if it is accurate.
🎯 Model how a vaccine triggers adaptive immunity and use disease-spread data to test a simple outbreak prediction.
- Diagram the adaptive immune response: antigen, antibody, and memory cell, labeling each step.
- Open the disease-model dataset in the shell and identify the columns for infected, recovered, and vaccinated.
- Run the model at two vaccination rates and record new infections at each rate in a data table.
- Write one sentence comparing how the antibody response and the population data each slow disease spread.
- Save your diagram, data table, and comparison sentence as your lab evidence.
Lab report: Adaptive immunity diagram, two-scenario disease-model data table, and one comparison sentence.
Submit on SchoologyUpload by 11:29 PM for full credit.
| Task | Who |
|---|---|
| Diagram the adaptive immune response: antigen, antibody, and memory cell, labeling each step. | _______ |
| Open the disease-model dataset in the shell and identify the columns for infected, recovered, and vaccinated. | _______ |
| Run the model at two vaccination rates and record new infections at each rate in a data table. | _______ |
| Write one sentence comparing how the antibody response and the population data each slow disease spread. | _______ |
| Save your diagram, data table, and comparison sentence as your lab evidence. | _______ |
Working solo? Put your own name in "Who" for every row.
- You'll be able to trace how a vaccine produces antibodies and memory cells.
- You'll be able to use model data to compare outbreak outcomes at different vaccination rates.
Teacher-posted resources
Classroom documents for this lesson. Ones marked “Open the file” open right here; the rest are posted in Schoology. Use the label on each card to choose the right move.
Use this with the vaccination lesson to connect vaccine development to a real example.
Placement rationale
Relocated to the vaccination lesson (Unit 1.4), where the COVID vaccine activity supports the day. Visibility: student-schoology.
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Hearing loss, cochlear implants, vaccines by path:Medical-Interventions/Unit-1_How-to-Fight-Infection/1.3_Hearing-Loss; keywords:hearing, audiogram, cochlear. Score 142. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Use this if you were absent, got stuck, or need another pass before you submit the lesson artifact.
Placement rationale
Matched Hearing loss, cochlear implants, vaccines by path:Medical-Interventions/Unit-1_How-to-Fight-Infection/1.4_Vaccination; keywords:vaccine, vaccination. Score 142. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Open this when the class reaches this activity and use it to complete the required lesson artifact.
Placement rationale
Matched Hearing loss, cochlear implants, vaccines by path:Medical-Interventions/Unit-1_How-to-Fight-Infection/1.4_Vaccination; keywords:vaccine, vaccination. Score 142. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
How to get there: open the CMSD website, click Clever, sign in with your Microsoft (district) account, then open Schoology from Clever.
Lab & supplies
- • No wet lab materials today; all work is computational and diagrammatic.
- • Dataset is anonymized class-aggregate; do not enter or share any personal health information.
- • If the simulation software requires a login, use only your school account credentials.
WebXam practice
Cumulative WebXam review
A quick mixed-review pulling questions from earlier units plus today, so the WebXam material stays fresh.
Where this leads — careers
What today's skills lead to. These are real health-science careers this course builds toward. Tap one to see, on the US Department of Labor's O*NET site, what the job actually involves, what it pays, and how fast it is growing.
What to do if you were absent
Run the assigned virtual immunology lab from home, then complete the same case and data analysis: build the antibody diagram and compare new infections at two vaccination rates from the provided dataset.
HHMI BioInteractive Immunology Virtual LabThen submit your Lab report on Schoology.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
NIH MedlinePlus- CompleteEvery required part of the artifact is present, nothing left blank.
- AccurateThe science and the data are correct and match the evidence.
- Scientific reasoningYou explain your claim with evidence and reasoning (CER), not just an answer.
- Professional communicationClear, organized, labeled, and written the way a clinician or scientist would.
- SubmittedTurned in the right way (Schoology for routine work) and confirmed.
Drop your Mon, Oct 12, 2026 · Vaccine and disease-model lab here. Use a clear file name (your initials + project). Routine work still goes to Schoology (via the CMSD portal).
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