Intervention plan
Open your materials, follow the steps, then turn in your work.
Finalize and submit a public health intervention plan grounded in your outbreak data.
1. Open your materials
Use the materials named in the first step below. Open lesson resources.
2. Start the work
Combine your line list, calculations, and intervention model.
Show all 5 required steps
- Combine your line list, calculations, and intervention model.
- State the recommended intervention and the data that supports it.
- Define one success metric to track after rollout.
- Add citations for your data and methods.
- Submit the plan and confirm it in your tracker.
Lost your place? Lost your place? You are finalizing your intervention plan. Combine your line list, calculations, and model into one document (step 1), state the intervention and its supporting data (step 2), define one success metric (step 3), add citations (step 4), then submit and confirm in your tracker (step 5).
Check your work before submitting
- Your plan ties an intervention to outbreak evidence.
- It includes a success metric and is submitted.
Before lab work: read the safety rules
- Wear the required PPE, keep the bench clear, handle equipment only as directed, and know where the eyewash, sink, and spill kit are before you start.
- Human samples and data stay private: label with a code, never a name, and dispose of materials in the correct waste container, then wash your hands.
3. Turn in your work
DueCheck Schoology- Hand in
- Public health intervention plan combining line list, incidence and prevalence calculations, intervention model with epidemic curve, data-backed recommendation, one success metric, and citations.
How to submit and name your file
Use the submission route shown on today's today's page.
In Schoology, open your course and the assignment for this lesson. Attach your file, select Submit, and check that it appears in the submission.
PDF upload helpYou get two school days for every day you were absent, so this deadline moves with you.
How this lesson connects
Keep using what you learned last class: A line list is the foundational epidemiological tool because standardizing each case into one dated row is what lets you calculate incidence and prevalence and see whether the outbreak is speeding up. Today: A complete intervention plan connects outbreak evidence to a measurable action, because a defined success metric is what lets decision-makers verify whether the intervention worked and correct it if it did not.
Optional: listen or watch a unit review▸
Need help? Warm-up, timing, and directions▸
💡 Big idea: A complete intervention plan connects outbreak evidence to a measurable action, because a defined success metric is what lets decision-makers verify whether the intervention worked and correct it if it did not.
- 0-5 minWarm-up: what one number would you watch to know if your intervention worked?
- 5-25 minCombine , calculations, and intervention model into one document
- 25-45 minWrite recommendation statement backed by outbreak data; add citations
- 45-60 minDefine one post-rollout success metric with a target value
- 60-72 minFinal check: does every data claim have a citation?
- 72-80 minSubmit intervention plan and confirm in tracker
- • Today we finalize Problem 5 with a submission-ready intervention plan.
- • Your , incidence calculations, and intervention model come together into one document.
- • The plan needs one metric someone can monitor after rollout to know if it's working.
- • When you submit today, Problem 5 is complete.
- • A success metric gives decision-makers a way to know if the intervention is working.
- • Citing data sources lets others verify or replicate your recommendation.
- • Combining , model, and plan into one document makes the evidence chain clear.
PLTW connection and today's work
Open Problem 5 in your myPLTW course shell and confirm Problem 5 activities are complete, then finalize and submit your public health intervention plan.
Today's stopping point: All Problem 5 milestones (line list, intervention model) should be wrapped up by today.
PLTW activity titles identify the course connection. If your account will not open, use the posted materials for today and tell Mr. Mendoza. Do not mark an online activity complete unless you completed it.
Course connection
- Project 5.1.1 Disease Detectives
Use the turn-in directions at the top of this page. Do not create a second submission unless your teacher asks for one.
Show another explanation or a smaller first step
Need help? Choose a starting point
Finish the assigned lab safely before starting extra practice.
Lesson resources: reading, slides, and vocabulary▸
The deck carries the prior idea forward, lets you inspect an analogy, maps the rule to biology, and ends with the same evidence decision and exit ticket used on this page.
Generated from this lesson's canonical data with a red-team citation check.
A is the foundational epidemiological tool because standardizing each case into one dated row is what lets you calculate incidence and prevalence and see whether the outbreak is speeding up.
A complete intervention plan connects outbreak evidence to a measurable action, because a defined success metric is what lets decision-makers verify whether the intervention worked and correct it if it did not.
Wet footprints appear across connected rooms after one person enters from the rain.
- Which footprint came first?
- Which rooms connect?
- What pattern would support more than one entry point?
Patterns across time and connection can narrow a explanation without proving it by themselves.
People change behavior, infections have periods, and surveillance data can be incomplete.
- • Footprints map to recorded cases.
- • Room connections map to exposures.
- • The route hypothesis maps to a limited claim.
Driving question: Can you turn your and your intervention model into one plan that a real official could read and act on, with a number they could check in two weeks?
What you already know: A is the foundational epidemiological tool because standardizing each case into one dated row is what lets you calculate incidence and prevalence and see whether the outbreak is speeding up.
New idea: A complete intervention plan connects outbreak evidence to a measurable action, because a defined success metric is what lets decision-makers verify whether the intervention worked and correct it if it did not.
Visual or model: F1. F1. A lesson illustration or teaching diagram for Intervention plan. Use it with E1-E3; it is a model or context image, not experimental or patient data. What to notice: Trace the labeled system, test, or design relationship and identify which evidence should trigger revision.
- Observe or measure the relevant feature in intervention plan.
- Organize the observation with a stable evidence ID.
- Apply this rule: Patterns across time and connection can narrow a explanation without proving it by themselves.
- Choose the option the evidence supports and state the limit of the conclusion.
Real biomedical example: Can you turn your and your intervention model into one plan that a real official could read and act on, with a number they could check in two weeks?
What the evidence supports: E1-E3 and F1 support the daily take-home when the response meets the stated success criteria.
What it cannot prove: The package does not support claims beyond this lesson's or any real patient diagnosis.
- • incidence: The number of new cases of a disease that appear in a population during a set period of time.
- • prevalence: The share of a population that has a particular disease or condition at a given time, often shown as a percentage.
- • morbidity: The presence or rate of disease and illness in a population, describing how often people are sick rather than how many die.
- • mortality: A measure of death within a population, often expressed as the number of deaths from a cause over a set period.
- • : Finding and notifying people who were near someone with an infectious disease so they can be tested, watched, or isolated to slow spread.
Use it now: Choose one decision option. Cite E1 and E3, then explain how the rule connects the evidence to your choice.
Go further, optional: The source links below are optional enrichment. Every fact required for today's local evidence decision appears in this lesson package.
Patterns across person, place, and time can narrow an outbreak hypothesis, but they require case definitions, comparison data, and laboratory or epidemiological confirmation before a source is established.
Limit: A classroom map or curve can support a limited hypothesis and next investigation step, not a confirmed source or individual diagnosis.
Patterns across time and connection can narrow a explanation without proving it by themselves.
Limit: People change behavior, infections have periods, and surveillance data can be incomplete.
Your plan ties an intervention to outbreak evidence.
Limit: E3 defines the classroom product or success criterion. It is not independent scientific evidence and cannot justify a clinical or causal claim.
PLTW-BFH-2027-04-22 · Simulated classroom evidence scenario
Your role: biomedical design team member
Decision: Your team must decide what the evidence from intervention plan supports before submitting the lab report named on today's page.
- • Write the plan as a strong persuasive paragraph, because a convincing case is what makes an official act on it.
- • No data compares sick people with neighbors who stayed well, so gather that before choosing what to change.
- • Tie your intervention to a specific line-list pattern and name a target drop in weekly incidence officials can check.
Response: State one choice, cite at least two evidence IDs, explain the rule that connects them, and add one limitation. Submit it as the lab report.
Claim ceiling: Today's evidence supports a classroom claim about intervention plan. It cannot prove causation, diagnose a real patient, or justify action outside this room.
Reason for review: Your team must decide what the evidence from intervention plan supports before submitting the lab report named on today's page.
Context: A recommendation only counts as when it links specific outbreak evidence to a measurable action, because decision-makers need to see both why you are acting and how they will know it worked.
- • T1: Combine your , calculations, and intervention model.
- • T2: State the recommended intervention and the data that supports it.
- • T3: Define one success metric to track after rollout.
- • T4: Add citations for your data and methods.
- • T5: Submit the plan and confirm it in your tracker.
- • E1: Patterns across person, place, and time can narrow an outbreak hypothesis, but they require case definitions, comparison data, and laboratory or epidemiological confirmation before a source is established.
- • E2: Patterns across time and connection can narrow a explanation without proving it by themselves.
- • E3: Your plan ties an intervention to outbreak evidence.
Measurements: No patient measurement is supplied unless it appears explicitly in E1-E3 or F1. Do not invent a value.
Figure finding: Teaching diagram for Intervention plan. Trace the labeled system, test, or design relationship and identify which evidence should trigger revision. This is a teaching model, not patient or experimental data.
Uncertainty: This is a composite classroom scenario. Missing history, measurements, or confirmation tests remain unknown and limit the conclusion.
Students often think Students think a strong plan is a persuasive paragraph, so writing it convincingly is enough to make it a good recommendation.. The trap: The trap is that persuasion without a success metric cannot be evaluated: if your plan never defines a measurable outcome (like a target drop in weekly incidence), no one can tell whether the intervention worked or failed, so decision-makers cannot act on it or correct it.
Title: Intervention Plan, School Gastrointestinal Outbreak.
Evidence summary: line list of 5 cases; incidence rose every day through day 4; prevalence on day 4 was 3 active cases.
Recommended intervention: isolate symptomatic students and add a handwashing/surface-cleaning protocol, because the data shows ongoing day-to-day transmission and a likely contact/surface route.
Supporting data: the steady daily incidence (2, 1, 1, 1 new cases) shows transmission had not stopped on its own.
Success metric: number of NEW cases per day after rollout. Target: incidence drops to 0 new cases for 2 consecutive days (about one incubation period).
Citations: CDC norovirus prevention guidance (cdc.gov); class line-list dataset.
Tracker: marked the Problem 5 intervention plan as submitted.
| Plan element | Content |
|---|---|
| Evidence | 5-case line list; daily incidence 2,1,1,1 |
| Intervention | Isolation + handwashing/cleaning |
| Success metric | 0 new cases for 2 straight days |
| Data source | CDC guidance; class line list |
This model shows the level of evidence and organization needed to complete: Completes the Problem 5 deliverable: an intervention plan combining the line list, incidence and prevalence, the intervention model, a data-backed recommendation, a success metric, and citations.
- State the question and method.
- Present the observations and data with units.
- Explain the result, limitations, and next investigation.
Keep the structure. Replace the question, facts, measurements, and evidence. Then recheck units, vocabulary, and whether the conclusion goes beyond the evidence.
Also due today: Submit the finalized intervention plan on Schoology and confirm in your tracker.
- 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. Find it in Clever with your Microsoft sign-in, right next to Schoology.
Tap the speaker to hear a term. Add two of these to your notebook glossary with a definition and an example in your own words.
Pick just 2 or 3 words from today and make them yours: write what each one means in your own words, name the context clue or evidence that helped, then give one example from what you actually did in Intervention plan. Try your own words first; the glossary is there if you get stuck. This is voluntary and counts as extra credit, so keep it short.
Saved on this device. Show Mr. Mendoza or add these to your notebook glossary to claim the extra credit.
Classroom documents for this lesson are posted in Schoology. Open Clever, then Schoology, and find each one by the name shown on its card.
Open this when the class reaches this activity and use it to complete the required lesson artifact.
Placement rationale
Matched intervention and epidemiology by path:Biomedical-Innovations/Problem-5_Public-Health-Issue/00_Problem-Overview; keywords:public health, epidemiology, outbreak. Score 154. 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 intervention and epidemiology by path:Biomedical-Innovations/Problem-5_Public-Health-Issue/00_Problem-Overview; keywords:public health, epidemiology, outbreak. Score 154. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Use this after the required lesson work when you are ready for a harder application or a deeper connection.
Placement rationale
Matched intervention and epidemiology by path:Biomedical-Innovations/Problem-5_Public-Health-Issue/5.1_Public-Health-Issue; keywords:public health, epidemiology, outbreak. Score 146. Visibility: student-schoology (student-facing resource; link through Schoology rather than local path).
Sign in to Clever with your district Microsoft account to open Schoology or myPLTW. Follow today's posted steps. If myPLTW will not open, use the posted alternative and tell Mr. Mendoza. Turn in your completed work through the Schoology assignment.
Practice: try a question, then check your answer▸
Claim ceiling for this check: Today's evidence supports a classroom claim about intervention plan. It cannot prove causation, diagnose a real patient, or justify action outside this room.
Your plan recommends isolating symptomatic cases to slow the outbreak. Write one success metric that is actually measurable, and say what would count as the intervention failing.
Write an answer and pick a confidence to unlock the key.
Fast retrieval with instant answers, not the commit-then-reveal check above. Try each from memory first: write what you remember about the earlier units, then check yourself here.
Missed class or ready for more?▸
Run this before you touch the bench. It is built from the real lab procedure, so the decisions you make here are the ones you will make with the equipment in your hands.
I can name the procedure's purpose and the evidence I will record. I can state today's specific hazards and the control for each. If this deck does not name them, I ask Mr. Mendoza before I touch anything. My data table is ready before materials are handled.
Finish the checklist before you handle any material.
- • Wear the required PPE, keep the bench clear, handle equipment only as directed, and know where the eyewash, sink, and spill kit are before you start.
- • Human samples and data stay private: label with a code, never a name, and dispose of materials in the correct waste container, then wash your hands.
- 1Before materials are handled, identify the purpose, variables or comparison, controls, measurement units, and stop-work condition.
- 2Combine your line list, calculations, and intervention model.
- 3State the recommended intervention and the data that supports it.
- 4Define one success metric to track after rollout.
- 5Add citations for your data and methods.
- 6Submit the plan and confirm it in your tracker.
- 7Record each result in the prepared table before interpreting it. Mark missing, repeated, or invalid results truthfully.
- 8Complete the named cleanup and waste route, remove PPE safely, wash hands when required, and confirm the station is ready for the next group.
| Trial or sample ID | Independent condition | Measured result with units | Observation before interpretation | Quality-control note |
|---|---|---|---|---|
Before the procedure, predict the result and cite the rule behind the prediction.
After the procedure, compare the result with the prediction and name one limitation or source of uncertainty.
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.
Today is individual work you can do from home: complete the same target above, then submit your Lab report.
Go to Schoology to turn this in. Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf. If you cannot get in, see Mr. Mendoza. Do not skip the work.
Class still runs. Complete the online activity above (it's self-guided). Need the concept taught without a teacher? Use this authoritative explainer:
CDC: Principles of EpidemiologyYou've passed Unit 2, so the optional extra-credit track is open. Complete reserved-unit work from home, including virtual labs, for extra credit. Each item shows its correct submission route.
Open the extra-credit track- 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.
- SubmittedGo to Schoology to turn this in. Submit one PDF. Put your first and last name in the document header. Name the file: FirstName LastName - Assignment Title - YYYY-MM-DD.pdf. If you cannot get in, see Mr. Mendoza. Do not skip the work.
- Error analysis and method · counts doubleName a specific limit of the method and how it moved your result, and compare what you predicted to what happened. "Human error" does not count; say what about the procedure or instrument caused it.
This week
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