scieee AI-readable full text Open interactive document viewer

rhap: A tool to analyze health impacts attributable to household air pollution

Sampedro, Jon; Rodés-Bachs, Clàudia; Smith, Steven; Tomás, Manuel; Urrutia, Ismael; van de Ven, Dirk-Jan

Abstract

ABSTRACT: Household air pollution (HAP) is a major health risk, especially in the Global South, yet is often overlooked in integrated assessment models. Alternative socioeconomic and climate policy scenarios could affect access to clean energy and, in turn, HAP exposure. The rhap R package estimates health impacts from HAP under alternative scenarios using outputs from the Global Change Analysis Model (GCAM). It is based on an econometric model linking health outcomes to direct emissions and diverse socioeconomic factors. Though originally built for GCAM, rhap is flexible and can be adapted for use with other IAMs in global scenario analysis. This poster will be presented at the IAMC Annual Meeting 2025, Onsite Poster Festival Session 2. The session takes place on Tuesday, 11th November, 2025.

Full text

Jon Sampedro1,2, Clàudia Rodés-Bachs1, Steven J. Smith3, Manuel Tomás1, Ismael Urrutia4, and Dirk-Jan Van de Ven1 INTRODUCTION METHODOLOGY •Household Air Pollution (HAP) is a major risk factor for human health, causing around 3.2 million deaths in 2020, with most cases concentrated in the global South and disproportionately affecting infants and the elderly •HAP also has broader socioeconomic consequences: reduced work productivity and the exacerbation of gender inequalities •IAMs typically estimate future emissions of air pollutants but do not report on air pollution or their health consequences in global or regional scenario analyses rhap: A tool to analyze health impacts attributable to household air pollution •Extract and process the required socioeconomic and emissions (BC, OC, NOx, and VOC) data from GCAM databases or project files •Estimate health impacts based on a fixed-effects econometric model, fitted using cross-regional and multi-year data from different sources OUTPUT EXAMPLES 1Basque Center for Climate Change, 2IKERBASQUE, Basque Foundation for Science 3Joint Global Change Research Institute, Pacific Northwest National Laboratory 4University of the Basque Country rhap is an R package developed to estimate health impacts attributable to household air pollution (HAP) under alternative scenarios simulated using the Global Change Analysis Model (GCAM) Bennitt, F.B., Wozniak, S., Causey, K., Spearman, S., Okereke, C., Garcia, V., Hashmeh, N., Ashbaugh, C., Abdelkader, A., Abdoun, M. and Abdurebi, M.J., 2025. Global, regional, and national burden of household air pollution, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021. The Lancet , 405 (10485), pp.1167-1181. Age-standardised rate per 100 000 population of DALYs attributable to HAP (B), by location in 2021 (Global Burden of Disease 2021) IAMC –18th Annual Meeting Búzios, November 11-13, 2025 [email protected] ACKNOWLEDGEMENTS This research is funded by the European Union’s Horizon research program under grant agreements 101060679 (GRAPHICS) •rhap offers flexibility in generating three distinct health impact metrics: premature mortalities, Years of Life Lost (YLLs), and Disability-Adjusted Life Years (DALYs) •The package can also generate damage maps and animations Premature deaths per 100.000 inhabitants attributable to HAP in 2050 rhap can also quantify the contribution of within-region consumer groups to emissions of various pollutants driving HAP BC emissions from the residential sector in India in 2050 by decile