ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress
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...
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MDPI AG
2021
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oai:doaj.org-article:af5e38d34b034c0b9fd2a43f731d51292021-11-11T16:27:42ZClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress10.3390/ijerph1821113171660-46011661-7827https://doaj.org/article/af5e38d34b034c0b9fd2a43f731d51292021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11317https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601This 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.B. R. M. KingmaH. SteenhoffJ. ToftumH. A. M. DaanenM. A. FolkertsN. GerrettC. GaoK. KuklaneJ. PeterssonA. HalderM. ZuurbierS. W. GarlandL. NyboMDPI AGarticleheat assessmentcold assessmentmobile applicationhuman thermal modelsMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11317, p 11317 (2021) |
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heat assessment cold assessment mobile application human thermal models Medicine R |
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heat assessment cold assessment mobile application human thermal models Medicine R B. R. M. Kingma H. Steenhoff J. Toftum H. A. M. Daanen M. A. Folkerts N. Gerrett C. Gao K. Kuklane J. Petersson A. Halder M. Zuurbier S. W. Garland L. Nybo ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress |
description |
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. |
format |
article |
author |
B. R. M. Kingma H. Steenhoff J. Toftum H. A. M. Daanen M. A. Folkerts N. Gerrett C. Gao K. Kuklane J. Petersson A. Halder M. Zuurbier S. W. Garland L. Nybo |
author_facet |
B. R. M. Kingma H. Steenhoff J. Toftum H. A. M. Daanen M. A. Folkerts N. Gerrett C. Gao K. Kuklane J. Petersson A. Halder M. Zuurbier S. W. Garland L. Nybo |
author_sort |
B. R. M. Kingma |
title |
ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress |
title_short |
ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress |
title_full |
ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress |
title_fullStr |
ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress |
title_full_unstemmed |
ClimApp—Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress |
title_sort |
climapp—integrating personal factors with weather forecasts for individualised warning and guidance on thermal stress |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/af5e38d34b034c0b9fd2a43f731d5129 |
work_keys_str_mv |
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