ReviewInternational journal of environmental research and public health2019
Is There a Need to Integrate Human Thermal Models with Weather Forecasts to Predict Thermal Stress?
Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- On the Effects of Clothing Area Factor and Vapour Resistance on the Evaluation of Cold Environments via IREQ Model.International journal of environmental research and public health · 2025Article
- High-resolution projections of outdoor thermal stress in the twenty-first century: a Tasmanian case study.International journal of biometeorology · 2024Article
- Spatiotemporal link between El Niño Southern Oscillation (ENSO), extreme heat, and thermal stress in the Asia-Pacific region.Scientific reports · 2024Article
- Human thermal physiological response of wearing personal protective equipment: An educational building semi-open space experimental investigation.The Science of the total environment · 2023Article
- A Database of Static Thermal Insulation and Evaporative Resistance Values of Dutch Firefighter Clothing Items and Ensembles.Biology · 2022Article
- Use of Thermoregulatory Models to Evaluate Heat Stress in Industrial Environments.International journal of environmental research and public health · 2022Article
- Heat Strain Evaluation of Power Grid Outdoor Workers Based on a Human Bioheat Model.International journal of environmental research and public health · 2022Article
- ClimApp-Integrating Personal Factors with Weather Forecasts for Individualised Warning and Guidance on Thermal Stress.International journal of environmental research and public health · 2021Article
- Common clothing area factor estimation equations are inaccurate for highly insulating (IIndustrial health · 2021Article
- Heat warning and public and workers' health at the time of COVID-19 pandemic.The Science of the total environment · 2020Article
- Insulation and Evaporative Resistance of Clothing for Sugarcane Harvesters and Chemical Sprayers, and Their Application in PHS Model-Based Exposure Predictions.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
More and more people will experience thermal stress in the future as the global temperature is increasing at an alarming rate and the risk for extreme weather events is growing. The increased exposure to extreme weather events poses a challenge for societies around the world. This literature review investigates the feasibility of making advanced human thermal models in connection with meteorological data publicly available for more versatile practices and a wider population. By providing society and individuals with personalized heat and cold stress warnings, coping advice and educational purposes, the risks of thermal stress can effectively be reduced. One interesting approach is to use weather station data as input for the wet bulb globe temperature heat stress index, human heat balance models, and wind chill index to assess heat and cold stress. This review explores the advantages and challenges of this approach for the ongoing EU project ClimApp where more advanced models may provide society with warnings on an individual basis for different thermal environments such as tropical heat or polar cold. The biggest challenges identified are properly assessing mean radiant temperature, microclimate weather data availability, integration and continuity of different thermal models, and further model validation for vulnerable groups.
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Registered trials
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