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ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress

Datos Bibliográficos

ID15515580
AutoresBoris Kingma (0000-0001-5961-0215, University of Copenhagen, autor de correspondencia), B R M Kingma (University of Copenhagen), henriette Steenhoff (Technical University of Denmark), Jørn Toftum (0000-0001-7697-7617, Technical University of Denmark), Hein A M Daanen (0000-0002-7459-0678, Vrije Universiteit Amsterdam), Mireille Folkerts (0000-0003-4029-6822, Vrije Universiteit Amsterdam), M A Folkerts (Vrije Universiteit Amsterdam), Nicola Gerrett (0000-0002-5210-902X, Vrije Universiteit Amsterdam), Chuansi Gao (0000-0001-7386-692X, Lund University), Kalev Kuklane (0000-0003-3169-436X, Lund University), Jakob Petersson (Lund University), Amitava Halder (0000-0003-1873-7353, Lund University), Moniek Zuurbier (Veiligheids- en Gezondheidsregio Gelderland-Midden), Stephen Garland, S W Garland (FritzdorfSport, 218 51 Klagshamn, Sweden), Lars Nybo (0000-0002-9090-1958, University of Copenhagen)
Año2021
Volumen18
Número21
Páginas11317-11317
Fecha de publicación2021-10-28
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph182111317
PMID34769832
OpenAlexW3210556988
IdiomaEN
Citas recibidas4
Referencias citadas18

This paper describes the functional development of the ClimApp tool (available for free on iOS and Android devices), which combines current and 24 h weather forecasting with individual information to offer personalised guidance related to thermal exposure. Heat and cold stress assessments are based on ISO standards and thermal models where environmental settings and personal factors are integrated into the ClimApp index ranging from -4 (extremely cold) to +4 (extremely hot), while a range of -1 and +1 signifies low thermal stress. Advice for individuals or for groups is available, and the user can customise the model input according to their personal situation, including activity level, clothing, body characteristics, heat acclimatisation, indoor or outdoor situation, and geographical location. ClimApp output consists of a weather summary, a brief assessment of the thermal situation, and a thermal stress warning. Advice is provided via infographics and text depending on the user profile. ClimApp is available in 10 languages: English, Danish, Dutch, Swedish, Norwegian, Hellenic (Greek), Italian, German, Spanish and French. The tool also includes a research functionality providing a platform for worker and citizen science projects to collect individual data on physical thermal strain and the experienced thermal strain. The application may therefore improve the translation of heat and cold risk assessments and guidance for subpopulations. ClimApp provides the framework for personalising and downscaling weather reports, alerts and advice at the personal level, based on GPS location and adjustable input of individual factors

Android (operating system · Geography · Heat stress · Meteorology · Telecommunications · Warning system · Climate Change and Health Impacts · Computer Science · Environmental Science · Thermoregulation and physiological responses · Urban Heat Island Mitigation

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Obras citantes distintas4
Citas por año1
Intervalo de citas2022 - 2024 (3)
Velocidad de citaciónrecent
Altamente citadoNo
Tipos de citaNeutras: 4
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae