CoolDengue: A Climate–Health and Life-Cycle Dataset for Air-Conditioner Eco-Efficiency Across Eight Dengue-Endemic Cities
Description
This dataset supports the study “Eco-efficiency of Room Air Conditioner Units in a Dengue-Prone Climate: A Comprehensive Life Cycle Analysis Integrating Epidemiological Perspectives.” It contains the inputs, calculations, and model outputs used to investigate the relationship between indoor thermal conditions, room air-conditioner energy consumption, environmental impacts, household costs, and dengue transmission risk. The dataset covers eight dengue-endemic cities in South and Southeast Asia: Bangkok, Cebu, Chennai, Colombo, Dhaka, Ho Chi Minh City, Jakarta, and Yangon. It includes climate and dengue observations used for model development, physics-informed machine-learning predictions of the indoor basic reproduction number, estimated hospitalized secondary dengue cases per household, Variable Cooling Degree Day energy calculations, life-cycle assessment results, environmental externality and consumer-cost estimates, and integrated eco-efficiency indicators. Scenarios span air-conditioned and non-air-conditioned living spaces, indoor temperatures of approximately 18–30 °C, different mosquito densities, vector-control interventions, and national-grid and decentralized-solar electricity supplies. Uncertainty ranges generated through Monte Carlo analysis are also provided where applicable. These data enable reproduction and further analysis of the climate–cooling–dengue nexus and can support research on climate-resilient cooling, household energy policy, environmental sustainability, and vector-borne disease prevention in tropical regions.
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Institutions
- University of South DakotaSouth Dakota, Vermillion