ArticleInternational journal of biometeorology2015
Searching for the best modeling specification for assessing the effects of temperature and humidity on health: a time series analysis in three European cities.
Article in International journal of biometeorology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
- Best-fit heat stress metric for modelling the heat-mortality relation across climatically distinct subregions of Southern California.Environmental research · 2026Article
- Lethal Heat and Humidity Events.Annual review of environment and resources · 2025Article
- Study protocol for an observational panel study of heat strain in the general adult population in Basse Santa Su, The Gambia.PloS one · 2025Observational
- Article
- Heat, humidity and health impacts: how causal diagrams can help tell the complex story.Environmental research letters : ERL [Web site] · 2024Article
- Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches.Environmental science and pollution research international · 2022Article
- The need for location-specific biometeorological indexes in Taiwan.Frontiers in public health · 2022Article
- The Role of Humidity in Associations of High Temperature with Mortality: A Multicountry, Multicity Study.Environmental health perspectives · 2019Article
- Assessment of the combination of temperature and relative humidity on kidney stone presentations.Environmental research · 2018Article
- Changes in relative fit of human heat stress indices to cardiovascular, respiratory, and renal hospitalizations across five Australian urban populations.International journal of biometeorology · 2018Article
- Estimated Effect of Temperature on Years of Life Lost: A Retrospective Time-Series Study of Low-, Middle-, and High-Income Regions.Environmental health perspectives · 2018Article
- Humidity May Modify the Relationship between Temperature and Cardiovascular Mortality in Zhejiang Province, China.International journal of environmental research and public health · 2017Article
- Adaptation to Climate Change: A Comparative Analysis of Modeling Methods for Heat-Related Mortality.Environmental health perspectives · 2017Article
- Associations between environmental factors and hospital admissions for sickle cell disease.Haematologica · 2017Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epidemiological time series studies suggest daily temperature and humidity are associated with adverse health effects including increased mortality and hospital admissions. However, there is no consensus over which metric or lag best describes the relationships. We investigated which temperature and humidity model specification most adequately predicted mortality in three large European cities. Daily counts of all-cause mortality, minimum, maximum and mean temperature and relative humidity and apparent temperature (a composite measure of ambient and dew point temperature) were assembled for Athens, London, and Rome for 6 years between 1999 and 2005. City-specific Poisson regression models were fitted separately for warm (April-September) and cold (October-March) periods adjusting for seasonality, air pollution, and public holidays. We investigated goodness of model fit for each metric for delayed effects up to 13 days using three model fit criteria: sum of the partial autocorrelation function, AIC, and GCV. No uniformly best index for all cities and seasonal periods was observed. The effects of temperature were uniformly shown to be more prolonged during cold periods and the majority of models suggested separate temperature and humidity variables performed better than apparent temperature in predicting mortality. Our study suggests that the nature of the effects of temperature and humidity on mortality vary between cities for unknown reasons which require further investigation but may relate to city-specific population, socioeconomic, and environmental characteristics. This may have consequences on epidemiological studies and local temperature-related warning systems.
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