Notes

How this research connects to local context—Minna, Niger State, Nigeria 1. The air we actually breathe here Most asthma research is based on US/EU data: pollen, mold, cold air. In Minna the main triggers are different: Harmattan haze: Nov-Feb, PM2.5 often hits unhealthy levels. It’s invisible, but it clogs airways. A MEMS shield detects it in real time so users don’t wait for symptoms. Biomass + generator emissions: Frequent power outages = petrol/diesel generators + firewood/charcoal cooking. That pumps VOCs, NOx, and CO into neighborhoods. Dust + unpaved roads: Construction and dry-season dust along major roads like Bosso Rd. and Old Airport Rd. Patients walking those routes get hit without warning. 2. Practical application on the ground For the individual: “Low-power” is key because NEPA is unreliable. Duty-cycled MEMS + BLE means 2-3 days on one charge. User gets a buzz + phone alert: “High PM + pollen detected. Mask recommended.” Then GPS logs that spot. Over time the app shows, “Your attacks = 70% near Tuesday Market 8-10am. "That's actionable. For clinics: Doctors at Minna General Hospital or IBB Specialist Hospital currently treat the blind. With exposure logs, they can personalize advice: “Your trigger is dust, not cold. Avoid route X; use mask Y.” Reduces ER visits. For the city: 100+ wearables = a live, crowd-sourced air quality map for Minna. NASENI, NESREA, and city planners get street-level data they don’t have now, instead of relying on 1-2 stations in Abuja. That informs where to pave roads, plant trees, or restrict burning. 3. Why this work matters / Context readers must know Treatment gap: Asthma kills ∼1000 Nigerians yearly, mostly from poor trigger management. Bottom line for readers: Don’t read this as “another IoT gadget." Read it as a tool built for Harmattan, generators, and dusty roads. If it can help a student in Minna avoid an attack walking to FUTMinna, it can help millions across the Sahel dealing with the same conditions.