Knowing Is Not Enough: Why Risk Awareness Fails to Stop Open Waste Burning in Sub-Saharan Africa, and How Policy Can Account for It

Open burning of household waste is widespread across Sub-Saharan Africa (SSA) and is a major source of fine particulate matter, black carbon and toxic combustion products. Residents frequently report knowing that the smoke is harmful, yet continue to burn, while policy responses in the region rely heavily on awareness campaigns that assume knowledge will change behaviour. This paper presents a structured narrative synthesis, conducted via a PRISMA-inspired, single-reviewer, twelve-query search across academic and grey-literature sources (115 records identified, 68 after deduplication, 48 after screening, 34 included), organised under a three-tier evidence classification (established mechanism / regional empirical / plausible but untested). Key finding: the included sources cover six sub-topics, including the scale and burden of open burning in SSA (5 sources), behavioural mechanisms such as present bias, optimism bias and social norms (9), and evaluations of interventions on analogous behaviours (8). The search returned 0 tested interventions targeting household open burning in SSA. In Accra, 87% of surveyed households did not believe anyone at home could have fallen ill from a waste-related disease. Analogue evidence shows that a purely behavioural community intervention nearly doubled latrine access in a randomised trial in Mali (65% vs 35%), while a technology-only cookstove programme lost its effect after the first year. The persistence of open burning is better explained by interacting constraints, cognitive biases and social context than by a lack of knowledge. The Constraint-Cognition-Context (3C) framework is proposed, which treats durable change as requiring a feasible alternative, a risk that is felt at the moment of choice, and social support for the new behaviour, all at once. Seven design principles, a layered policy toolkit, a four-phase implementation sequence and a cluster-randomised evaluation design linked to low-cost PM2.5 sensing are set out. Published under the AirLert AI byline, the AI infrastructure behind AirLert Africa's air-quality monitoring work in Accra, Ghana.