| Lesson Plan |
| Grade: |
Date: 25/02/2026 |
| Subject: Geography |
| Lesson Topic: global distribution and spatial variation of malaria and spread due to changing environmental conditions |
Learning Objective/s:
- Describe the worldwide zones of malaria endemicity and the key environmental factors that shape them.
- Analyse how altitude, temperature, rainfall and land‑use influence malaria risk within a region.
- Explain the likely impacts of climate change and land‑use change on future malaria distribution.
- Interpret epidemiological data to predict emerging high‑risk areas.
- Evaluate control strategies in the context of shifting spatial patterns.
|
Materials Needed:
- Projector and screen
- World map / GIS layer of malaria risk
- Printed data tables (altitude, temperature, rainfall)
- Worksheet with guided analysis questions
- Markers and flip‑chart paper
- Short video clip on Anopheles ecology (optional)
|
Introduction:
Begin with a striking image of a malaria‑affected community and ask students what they know about why malaria is common there. Briefly recap the parasite‑vector cycle and link it to environmental conditions. Explain that by the end of the lesson they will be able to map current risk zones and predict future changes.
|
Lesson Structure:
- Do‑now (5') – Quick quiz on malaria basics (vector, life cycle, current global hotspots).
- Mini‑lecture (10') – Overview of the three WHO endemicity zones and the role of climate.
- Data‑analysis activity (15') – In pairs, students examine the provided altitude/temperature/rainfall table and colour‑code a blank map to show risk gradients.
- Group discussion (10') – How do rising temperatures, altered rainfall and land‑use change modify mosquito habitats? Record ideas on flip‑chart.
- Case‑study review (10') – Examine the East African highlands scenario; students predict the year a new zone might appear.
- Check for understanding (5') – Exit ticket: one sentence summarising the most important environmental driver of malaria spread.
|
Conclusion:
Recap the link between environmental variables and malaria distribution, highlighting the case‑study outcome. Collect exit tickets to gauge retention and assign a short homework: students locate a local area at risk of future malaria emergence using online climate data.
|