Gautam N. Yadama

Evaluation of mass and surface area concentration of particle emissions and development of emissions indices for cookstoves in rural India.

Mass-based dose parameters (for example, PM(2.5)) are most often used to characterize cookstove particulate matter emissions. Particle surface area deposition in the tracheobronchial (TB) and alveolar (A) regions of the human lung is also an important metric with respect to health effects, though very little research has investigated this dose parameter for cookstove emissions. Field sampling of cookstove emissions was performed in two regions of rural India, wherein PM(2.5), particulate surface area concentration in both TB and A regions, and carbon monoxide (CO) were measured in 120 households and two roadside restaurants. Novel indices were developed and used to compare the emissions and efficiency of several types of household and commercial cookstoves, as well as to compare mass-based (PM(2.5)) and surface area-based measurements of particle concentration. The correlation between PM(2.5) and surface area concentration was low to moderate: Pearsons correlation coefficient (R) for PM(2.5) vs surface area concentration in TB region is 0.38 and for PM(2.5) vs surface area concentration in A region is 0.47, indicating that PM(2.5) is not a sufficient proxy for particle surface area concentration. The indices will also help communicate results of cookstove studies to decision makers more easily.

Community Development Programs in Nepal: A Test of Diffusion of Innovation Theory

Many community development programs in developing countries distribute new technology to the rural poor to improve their quality of life. One such technology distributed widely is the improved cookstove. In disseminating improved cookstoves, community development programs have encountered social, cultural, and economic barriers to adoption. In this article, we examine the effect of several social-psychological factors, derived from diffusion of innovation theory, on adoption of new stoves. The analysis and findings are based on research conducted in central Nepal. We tested the hypotheses using a structural-modeling approach. All models were tested with the Linear Structural Relations (LISREL) program. We find that cultural compatibility and relative advantage are crucial for adoption of a new technology. We also find that complexity of a technology is not a deterrent to successful adoption and knowledge of a technology is not sufficient for adoption.

Real-time particulate and CO concentrations from cookstoves in rural households in Udaipur, India.

Almost 3 billion people around the globe use traditional three-stone cookstoves and open fires to warm and feed themselves. The World Health Organization estimates annual mortality rates from domestic solid fuel combustion to be around 4 million. One of the most affected countries is India. Quantifying pollutant concentrations from these cookstoves during different phases of operation and understanding the factors influencing their variability may help to identify where improvements should be targeted, enhancing indoor air quality for millions of the worlds most vulnerable people. Gas and particulate measurements were collected between June and August, 2012, for 51 households using traditional cookstoves, in the villages of Udaipur district, Rajasthan, India. Mean pollutant concentrations during steady-state mode were 4989 μm(2) cm(-3), 9835 μg m(-3), and 18.5 ppm for lung-deposited surface area, PM2.5, and CO, respectively. Simple and multivariate regression analysis was conducted. Fuel amount, fuel diameter, duration of the cookstove run, roof-type, and the room dimension explained between 7% and 21% of the variability for the pollutant metrics. CO demonstrated weaker correlations with explanatory variables. Some of these variables may be indicative of socio-economic status and could be used as proxies of exposure in lieu of pollutant measurements, hence these variables may help identify which households to prioritize for intervention. Such associations should be further explored.

Social, Economic, and Resource Predictors of Variability in Household Air Pollution from Cookstove Emissions

We examine if social and economic factors, fuelwood availability, market and media access are associated with owning a modified stove and variation in household emissions from biomass combustion, a significant environmental and health concern in rural India. We analyze cross-sectional household socio-economic data, and PM2.5 and particulate surface area concentration in household emissions from cookstoves (n = 100). This data set combines household social and economic variables with particle emissions indexes associated with the household stove. The data are from the Foundation for Ecological Society, India, from a field study of household emissions. In our analysis, we find that less access to ready and free fuelwood and higher wealth are associated with owning a replacement/modified stove. We also find that additional kitchen ventilation is associated with a 12% reduction in particulate emissions concentration (p<0.05), after we account for the type of stove used. We did not find a significant association between replacement/modified stove on household emissions when controlling for additional ventilation. Higher wealth and education are associated with having additional ventilation. Social caste, market and media access did not have any effect on the presence of replacement or modified stoves or additional ventilation. While the data available to us does not allow an examination of direct health outcomes from emissions variations, adverse environmental and health impacts of toxic household emissions are well established elsewhere in the literature. The value of this study is in its further examination of the role of social and economic factors and available fuelwood from commons in type of stove use, and additional ventilation, and their effect on household emissions. These associations are important since the two direct routes to improving household air quality among the poor are stove type and better ventilation.

Implementation Science to Accelerate Clean Cooking for Public Health

Summary: Clean cooking has emerged as a major concern for global health and development because of the enormous burden of disease caused by traditional cookstoves and fires. The World Health Organization has developed new indoor air quality guidelines that few homes will be able to achieve without replacing traditional methods with modern clean cooking technologies, including fuels and stoves. However, decades of experience with improved stove programs indicate that the challenge of modernizing cooking in impoverished communities includes a complex, multi-sectoral set of problems that require implementation research. The National Institutes of Health, in partnership with several government agencies and the Global Alliance for Clean Cookstoves, has launched the Clean Cooking Implementation Science Network that aims to address this issue. In this article, our focus is on building a knowledge base to accelerate scale-up and sustained use of the cleanest technologies in low- and middle-income countries. Implementation science provides a variety of analytical and planning tools to enhance effectiveness of clinical and public health interventions. These tools are being integrated with a growing body of knowledge and new research projects to yield new methods, consensus tools, and an evidence base to accelerate improvements in health promised by the renewed agenda of clean cooking.

Dynamics of sustained use and abandonment of clean cooking systems: study protocol for community-based system dynamics modeling

BackgroundMore than 3 billion of the world’s population are affected by household air pollution from relying on unprocessed solid fuels for heating and cooking. Household air pollution is harmful to human health, climate, and environment. Sustained uptake and use of cleaner cooking technologies and fuels are proposed as solutions to this problem. In this paper, we present our study protocol aimed at understanding multiple interacting feedback mechanisms involved in the dynamic behavior between social, ecological, and technological systems driving sustained use or abandonment of cleaner cooking technologies among the rural poor in India.Methods/DesignThis study uses a comparative case study design to understand the dynamics of sustained use or abandonment of cleaner cooking technologies and fuels in four rural communities of Rajasthan, India. The study adopts a community based system dynamics modeling approach. We describe our approach of using community based system dynamics with rural communities to delineate the feedback mechanisms involved in the uptake and sustainment of clean cooking technologies. We develop a reference mode with communities showing the trend over time of use or abandonment of cleaner cooking technologies and fuels in these communities. Subsequently, the study develops a system dynamics model with communities to understand the complex sub-systems driving the behavior in these communities as reflected in the reference mode. We use group model building techniques to facilitate participation of relevant stakeholders in the four communities and elicit a narrative describing the feedback mechanisms underlying sustained adoption or abandonment of cleaner cooking technologies.DiscussionIn understanding the dynamics of feedback mechanisms in the uptake and exclusive use of cleaner cooking systems, we increase the likelihood of dissemination and implementation of efficacious interventions into everyday settings to improve the health and wellbeing of women and children most affected by household air pollution. The challenge is not confined to developing robust technical solutions to reduce household air pollution and exposure to improve respiratory health, and prevent associated diseases. The bigger challenge is to disseminate and implement cleaner cooking technologies and fuels in the context of various social, behavioral, and economic constraints faced by poor households and communities.Trial registrationThe Institutional Review Board of Washington University in St. Louis has exempted community based system dynamics modeling from review.

Action research and social development in China : Creating synergy between marginalized populations and government officials

This article argues that the usefulness of action research hinges on a heightened sensitivity towards its relevance and irrelevance to social, economic and cultural environments in which the professional action researchers conduct their research. Its contribution to transforming social situations depends on how well the researchers can bring the different stakeholders of the local community together to learn about themselves and each other, and identify and find ways to address the implicit barriers to the effective use of action research. We also argue that it is this contribution that distinguishes action research from other approaches of social development in China. We draw from the lessons learned during one of our action research projects conducted in China with a focus on seeking effective strategies in dealing with the unemployment problem of middle-aged women workers. The researchers played the role of change agents to encourage participatory negotiation between the local officials and the women.