Predicted and user perceived heat strain using the ClimApp mobile tool for individualized alert and advice

Thermal models and indices integrated into a mobile application could provide relevant information regarding thermal stress strain to the general public. The aim of current paper is validate such application, ClimApp, users needs in heat. ClimApp combines weather data with personal user data, estimate user. output ranges from −4 +4, where values below 0 indicate cold above heat strain. 134 Participants filled required settings app, indicated if estimated by matched their perception. 45 participants satisfaction questionnaire. Results show that able predict user, but may underestimate perceived when ambient temperature increases. Furthermore, were positive about user-friendliness did not think they would use frequently believed was irrelevant for them. This quite remarkable as number illness cases are increasing negative effects occur all populations exposing themselves There be more focus on making people aware health risks play role tool make warnings accessible everyone appropriate behavior during periods high temperatures.