Air pollution adversely affects human health, and the climate crisis intensifies the global imperative for action. Low-/middle-income countries (LMIC) suffer particularly high attributable disease burdens. In rural low-resource settings, these are linked to cooking using biomass. Proposed biomedical solutions to air pollution typically involve ‘improved cooking technologies’, often introduced by high-income country research teams. This ethnography, set in a rural Malawian village, aimed to understand air pollution within its social and environmental context. The results provide a multifaceted account through immersive participant observations with concurrent air quality monitoring, interviews and participatory workshops. Data included quantitative measures of individuals’ air pollution exposures paired with activity, qualitative insights into how smoke is experienced in daily life throughout the village, and participants’ reflections on potential cleaner air solutions. Individual air quality monitoring demonstrated that particulate levels frequently exceeded upper limits recommended by the WHO, even in the absence of identified sources of biomass burning. Ethnographic findings revealed the overwhelming impact of economic scarcity on individual air pollution exposures. Scarcity affected air pollution exposures through three pathways: daily hardship, limitation and precarity. We use the theory of structural violence, as described by Paul Farmer, and the concept of slow violence to interrogate the origins of this scarcity and global inequality. We draw on the ethnographic findings to critically consider sustainable approaches to cleaner air, without re-enacting existing systemic inequities.

Background Compensation for research participants can be provided for reasons including reimbursement of costs; compensation for time lost, discomfort or inconvenience; or expression of appreciation for participation. This compensation involves numerous ethical complexities, at times entailing competing risks. In the context of transnational research, often incorporating contexts of economic inequality, power differentials and post-colonialism, these issues extend into wider questions of ethical research conduct. Methods We describe experiences of conducting a community-based study of air pollution in southern Malawi incorporating ethnographic, participatory and air quality monitoring elements. Decisions surrounding participant compensation evolved in response to changing circumstances in the field. Results Attention to careful researcher–participant relationships and responsiveness to community perspectives allowed dynamic, contextualised decision-making around participant compensation. Despite widely cited risks, including but not restricted to undue influence of monetary compensation on participation, we learned that failure to adequately recognise and compensate participants has its own risks, notably the possibility of ‘ethics dumping’. Conclusions We recommend active engagement with research participants and communities with integration of contextual insights throughout, including participant compensation, as for all elements of research conduct. Equitable research relationships encompass four central values: fairness, care, honesty and respect.

Background: Air pollution is a major environmental risk factor for cardiorespiratory disease. Exposures to household air pollution from cooking and other activities, are particularly high in Southern Africa. Following an extended period of participant observation in a village in Malawi, we aimed to assess individuals’ exposures to fine particulate matter (PM2.5) and carbon monoxide (CO) and to investigate the different sources of exposure, including different cooking methods. Methods: Adult residents of a village in Malawi wore personal PM2.5 and CO monitors for 24-48 hours, sampling every 1 (CO) or 2 minutes (PM2.5). Subsequent in-person interviews recorded potential exposure details over the time periods. We present means and interquartile ranges for overall exposures and summaries stratified by time and activity (exposure). We employed multivariate regression to further explore these characteristics, and Spearman rank correlation to examine the relationship between paired PM2.5 and CO exposures. Results: Twenty participants (17 female; median age 40 years, IQR: 37–56) provided 831 hours of paired PM2.5 and CO data. Concentrations of PM2.5 during combustion activity, usually cooking, far exceeded background levels (no combustion activity): 97.9μg/m3 (IQR: 22.9–482.0), vs 7.6μg/m3, IQR: 2.5–20.6 respectively. Background PM2.5 concentrations were higher during daytime hours (11.7μg/m3 [IQR: 5.2–30.0] vs 3.3μg/m3 at night [IQR: 0.7–8.2]). Highest exposures were influenced by cooking location but associated with charcoal use (for CO) and firewood on a three-stone fire (for PM2.5). Cooking-related exposures were higher in more ventilated places, such as outside the household or on a walled veranda, than during indoor cooking. Conclusions: The study demonstrates the value of combining personal PM2.5 exposure data with detailed contextual information for providing deeper insights into pollution sources and influences. The finding of similar/lower exposures during cooking in seemingly less-ventilated places should prompt a re-evaluation of proposed clean air interventions in these settings.

Background: Air pollution exposure is responsible for a substantial burden of respiratory disease globally. Household air pollution from cooking using biomass is a major contributor to overall exposure in rural low-income settings. Previous research in Malawi has revealed how precarity and food insecurity shape individuals’ daily experiences, contributing to perceptions of health. Aiming to avoid a mismatch between research intervention and local context, we introduced a simple cookstove intervention in rural Malawi, analysing change in fine particulate matter (PM2.5) exposures, and community perceptions. Methods: Following a period of baseline ethnographic research, we distributed ‘chitetezo mbaula’, locally-made cookstoves, to all households (n=300) in a rural Malawian village. Evaluation incorporated village-wide participant observation and concurrent exposure monitoring using portable PM2.5 monitors at baseline and follow-up (three months post-intervention). Qualitative data were thematically analysed. Quantitative analysis of exposure data included pre-post intervention comparisons, with datapoints divided into periods of combustion activity (almost exclusively cooking) and non-combustion periods. Findings were integrated at the interpretation stage, using a convergent design mode of synthesis. Results: Individual exposure monitoring pre- and post-cookstove intervention involved a sample of 18 participants (15 female; mean age 43). Post-intervention PM2.5 exposures (median 9.9μg/m3 [interquartile range: 2.2–46.5]) were not significantly different to pre-intervention (11.8μg/m3 [3.8–44.4]); p=0.71. On analysis by activity, background exposures were found to be reduced post-intervention (from 8.2μg/m3 [2.5–22.0] to 4.6μg/m3 [1.0–12.6]; p=0.01). Stoves were well-liked and widely used by residents as substitutes for previous cooking methods (mainly three-stone fires). Commonly cited benefits related to fuel saving and shorter cooking times. Conclusions: The cookstove intervention had no impact on cooking-related PM2.5 exposures. A significant reduction in background exposures may relate to reduced smouldering emissions. Uptake and continued use of the stoves was high amongst community members, who preferred using the stoves to cooking over open fires.