CoolDengue: A Climate–Health and Life-Cycle Dataset for Air-Conditioner Eco-Efficiency Across Eight Dengue-Endemic Cities

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.本数据集支撑题为《登革热高发气候下房间空调器生态效率：整合流行病学视角的全生命周期综合分析》的研究。其收录了用于探究室内热环境、房间空调器能耗、环境影响、家庭成本与登革热传播风险之间关联的各类输入数据、计算过程及模型输出结果。 本数据集覆盖南亚及东南亚的8个登革热流行城市，分别为曼谷（Bangkok）、宿务（Cebu）、金奈（Chennai）、科伦坡（Colombo）、达卡（Dhaka）、胡志明市（Ho Chi Minh City）、雅加达（Jakarta）以及仰光（Yangon）。数据集包含用于模型开发的气候与登革热观测数据、室内基本再生数（basic reproduction number）的物理信息机器学习（Physics-Informed Machine Learning）预测结果、每户家庭登革热继发住院病例估算值、可变冷却度日（Variable Cooling Degree Day）能耗计算结果、全生命周期评估（Life Cycle Assessment）结果、环境外部性与消费者成本估算值，以及综合生态效率指标。研究场景涵盖有空调与无空调居住空间、18℃至30℃左右的室内温度区间、不同蚊虫密度、媒介控制（Vector-Control）干预措施，以及国家电网与分布式太阳能（Decentralized-Solar）供电方案。此外，在适用场景中还提供了通过蒙特卡洛（Monte Carlo）分析生成的不确定性区间。 本数据集可实现气候-制冷-登革热关联研究的复现与进一步拓展分析，同时可支撑热带地区气候适应型制冷、家庭能源政策、环境可持续性以及媒介传播疾病防控领域的相关研究工作。