Browsing by Author "Schneider, Rochelle"
Now showing 1 - 5 of 5
Results Per Page
Sort Options
- Comparison of weather station and climate reanalysis data for modelling temperature-related mortalityPublication . Mistry, Malcolm N.; Schneider, Rochelle; Masselot, Pierre; Royé, Dominic; Armstrong, Ben; Kyselý, Jan; Orru, Hans; Sera, Francesco; Tong, Shilu; Lavigne, Éric; Urban, Aleš; Madureira, Joana; García-León, David; Ibarreta, Dolores; Ciscar, Juan-Carlos; Feyen, Luc; de Schrijver, Evan; de Sousa Zanotti Stagliorio Coelho, Micheline; Pascal, Mathilde; Tobias, Aurelio; Alahmad, Barrak; Abrutzky, Rosana; Saldiva, Paulo Hilario Nascimento; Correa, Patricia Matus; Orteg, Nicolás Valdés; Kan, Haidong; Osorio, Samuel; Indermitte, Ene; Jaakkola, Jouni J.K.; Ryti, Niilo; Schneider, Alexandra; Huber, Veronika; Katsouyanni, Klea; Analitis, Antonis; Entezari, Alireza; Mayvaneh, Fatemeh; Michelozzi, Paola; de’Donato, Francesca; Hashizume, Masahiro; Kim, Yoonhee; Diaz, Magali Hurtado; De la Cruz Valencia, César; Overcenco, Ala; Houthuijs, Danny; Ameling, Caroline; Rao, Shilpa; Seposo, Xerxes; Nunes, Baltazar; Holobaca, Iulian-Horia; Kim, Ho; Lee, Whanhee; Íñiguez, Carmen; Forsberg, Bertil; Åström, Christofer; Ragettli, Martina S.; Guo, Yue-Liang Leon; Chen, Bing-Yu; Colistro, Valentina; Zanobetti, Antonella; Schwartz, Joel; Dang, Tran Ngoc; Van Dung, Do; Guo, Yuming; Vicedo-Cabrera, Ana M.; Gasparrini, AntonioEpidemiological analyses of health risks associated with non-optimal temperature are traditionally based on ground observations from weather stations that offer limited spatial and temporal coverage. Climate reanalysis represents an alternative option that provide complete spatio-temporal exposure coverage, and yet are to be systematically explored for their suitability in assessing temperature-related health risks at a global scale. Here we provide the first comprehensive analysis over multiple regions to assess the suitability of the most recent generation of reanalysis datasets for health impact assessments and evaluate their comparative performance against traditional station-based data. Our findings show that reanalysis temperature from the last ERA5 products generally compare well to station observations, with similar non-optimal temperature-related risk estimates. However, the analysis offers some indication of lower performance in tropical regions, with a likely underestimation of heat-related excess mortality. Reanalysis data represent a valid alternative source of exposure variables in epidemiological analyses of temperature-related risk.
- Differential Mortality Risks Associated With PM2.5 Components: A Multi-Country, Multi-City StudyPublication . Masselot, Pierre; Sera, Francesco; Schneider, Rochelle; Kan, Haidong; Lavigne, Éric; Stafoggia, Massimo; Tobias, Aurelio; Chen, Hong; Burnett, Richard T.; Schwartz, Joel; Zanobetti, Antonella; Bell, Michelle L.; Chen, Bing-Yu; Guo, Yue-Liang Leon; Ragettli, Martina S.; Vicedo-Cabrera, Ana Maria; Åström, Christofer; Forsberg, Bertil; Íñiguez, Carmen; Garland, Rebecca M.; Scovronick, Noah; Madureira, Joana; Nunes, Baltazar; De la Cruz Valencia, César; Hurtado Diaz, Magali; Honda, Yasushi; Hashizume, Masahiro; Ng, Chris Fook Cheng; Samoli, Evangelia; Katsouyanni, Klea; Schneider, Alexandra; Breitner, Susanne; Ryti, Niilo R.I.; Jaakkola, Jouni J.K.; Maasikmets, Marek; Orru, Hans; Guo, Yuming; Valdés Ortega, Nicolás; Matus Correa, Patricia; Tong, Shilu; Gasparrini, AntonioBackground: The association between fine particulate matter (PM2.5) and mortality widely differs between as well as within countries. Differences in PM2.5 composition can play a role in modifying the effect estimates, but there is little evidence about which components have higher impacts on mortality. Methods: We applied a 2-stage analysis on data collected from 210 locations in 16 countries. In the first stage, we estimated location-specific relative risks (RR) for mortality associated with daily total PM2.5 through time series regression analysis. We then pooled these estimates in a meta-regression model that included city-specific logratio-transformed proportions of seven PM2.5 components as well as meta-predictors derived from city-specific socio-economic and environmental indicators. Results: We found associations between RR and several PM2.5 components. Increasing the ammonium (NH4+) proportion from 1% to 22%, while keeping a relative average proportion of other components, increased the RR from 1.0063 (95% confidence interval [95% CI] = 1.0030, 1.0097) to 1.0102 (95% CI = 1.0070, 1.0135). Conversely, an increase in nitrate (NO3-) from 1% to 71% resulted in a reduced RR, from 1.0100 (95% CI = 1.0067, 1.0133) to 1.0037 (95% CI = 0.9998, 1.0077). Differences in composition explained a substantial part of the heterogeneity in PM2.5 risk. Conclusions: These findings contribute to the identification of more hazardous emission sources. Further work is needed to understand the health impacts of PM2.5 components and sources given the overlapping sources and correlations among many components.
- Excess mortality attributed to heat and cold: a health impact assessment study in 854 cities in EuropePublication . Masselot, Pierre; Mistry, Malcolm; Vanoli, Jacopo; Schneider, Rochelle; Iungman, Tamara; Garcia-Leon, David; Ciscar, Juan-Carlos; Feyen, Luc; Orru, Hans; Urban, Aleš; Breitner, Susanne; Huber, Veronika; Schneider, Alexandra; Samoli, Evangelia; Stafoggia, Massimo; de’Donato, Francesca; Rao, Shilpa; Armstrong, Ben; Nieuwenhuijsen, Mark; Vicedo-Cabrera, Ana Maria; Gasparrini, Antonio; Achilleos, Souzana; Kyselý, Jan; Indermitte, Ene; Jaakkola, Jouni J.K.; Ryti, Niilo; Pascal, Mathilde; Katsouyanni, Klea; Analitis, Antonis; Goodman, Patrick; Zeka, Ariana; Michelozzi, Paola; Houthuijs, Danny; Ameling, Caroline; Silva, Susana; Madureira, Joana; Holobaca, Iulian-Horia; Tobias, Aurelio; Íñiguez, Carmen; Forsberg, Bertil; Åström, Christofer; Ragettli, Martina S.; Surname, First name; Zafeiratou, Sofia; Vazquez Fernandez, Liliana; Monteiro, Ana; Rai, Masna; Zhang, Siqi; Aunan, KristinBackground: Heat and cold are established environmental risk factors for human health. However, mapping the related health burden is a difficult task due to the complexity of the associations and the differences in vulnerability and demographic distributions. In this study, we did a comprehensive mortality impact assessment due to heat and cold in European urban areas, considering geographical differences and age-specific risks. Methods: We included urban areas across Europe between Jan 1, 2000, and Dec 12, 2019, using the Urban Audit dataset of Eurostat and adults aged 20 years and older living in these areas. Data were extracted from Eurostat, the Multi-country Multi-city Collaborative Research Network, Moderate Resolution Imaging Spectroradiometer, and Copernicus. We applied a three-stage method to estimate risks of temperature continuously across the age and space dimensions, identifying patterns of vulnerability on the basis of city-specific characteristics and demographic structures. These risks were used to derive minimum mortality temperatures and related percentiles and raw and standardised excess mortality rates for heat and cold aggregated at various geographical levels. Findings: Across the 854 urban areas in Europe, we estimated an annual excess of 203 620 (empirical 95% CI 180 882-224 613) deaths attributed to cold and 20 173 (17 261-22 934) attributed to heat. These corresponded to age-standardised rates of 129 (empirical 95% CI 114-142) and 13 (11-14) deaths per 100 000 person-years. Results differed across Europe and age groups, with the highest effects in eastern European cities for both cold and heat. Interpretation: Maps of mortality risks and excess deaths indicate geographical differences, such as a north-south gradient and increased vulnerability in eastern Europe, as well as local variations due to urban characteristics. The modelling framework and results are crucial for the design of national and local health and climate policies and for projecting the effects of cold and heat under future climatic and socioeconomic scenarios.
- Optimal heat stress metric for modelling heat‐related mortality varies from country to countryPublication . Lo, Eunice; Mitchell, Dann M.; Buzan, Jonathan R.; Zscheischler, Jakob; Schneider, Rochelle; Mistry, Malcolm N.; Kyselý, Jan; Lavigne, Éric; Silva, Susana; Royé, Dominic; Urban, Aleš; Armstrong, Ben; Gasparrini, Antonio; Vicedo‐Cabrera, Ana M.Combined heat and humidity is frequently described as the main driver of human heat-related mortality, more so than dry-bulb temperature alone. While based on physiological thinking, this assumption has not been robustly supported by epidemiological evidence. By performing the first systematic comparison of eight heat stress metrics (i.e., temperature combined with humidity and other climate variables) with warm-season mortality, in 604 locations over 39 countries, we find that the optimal metric for modelling mortality varies from country to country. Temperature metrics with no or little humidity modification associates best with mortality in ~40% of the studied countries. Apparent temperature (combined temperature, humidity and wind speed) dominates in another 40% of countries. There is no obvious climate grouping in these results. We recommend, where possible, that researchers use the optimal metric for each country. However, dry-bulb temperature performs similarly to humidity-based heat stress metrics in estimating heat-related mortality in present-day climate.
- Regional variation in the role of humidity on city-level heat-related mortalityPublication . Guo, Qiang; Mistry, Malcolm N.; Zhou, Xudong; Zhao, Gang; Kino, Kanon; Wen, Bo; Yoshimura, Kei; Satoh, Yusuke; Cvijanovic, Ivana; Kim, Yoonhee; Ng, Chris Fook Sheng; Vicedo-Cabrera, Ana M.; Armstrong, Ben; Urban, Aleš; Katsouyanni, Klea; Masselot, Pierre; Tong, Shilu; Sera, Francesco; Huber, Veronika; Bell, Michelle L.; Kyselý, Jan; Gasparrini, Antonio; Hashizume, Masahiro; Oki, Taikan; Abrutzky, Rosana; Guo, Yuming; de Sousa Zanotti Stagliorio Coelho, Micheline; Nascimento Saldiva, Paulo Hilario; Lavigne, Eric; Ortega, Nicolás Valdés; Correa, Patricia Matus; Kan, Haidong; Osorio, Samuel; Roye, Dominic; Indermitte, Ene; Orru, Hans; Jaakkola, Jouni J K.; Ryti, Niilo; Pascal, Mathilde; Schneider, Alexandra; Analitis, Antonis; Entezari, Alireza; Mayvaneh, Fatemeh; Zeka, Ariana; Goodman, Patrick; de'Donato, Francesca; Michelozzi, Paola; Alahmad, Barrak; De la Cruz Valencia, César; Hurtado Diaz, Magali; Overcenco, Ala; Ameling, Caroline; Houthuijs, Danny; Rao, Shilpa; Carrasco, Gabriel; Seposo, Xerxes; Madureira, Joana; Silva, Susana; Holobaca, Iulian-Horia; Acquaotta, Fiorella; Scovronick, Noah; Kim, Ho; Lee, Whanhee; Tobias, Aurelio; Íñiguez, Carmen; Forsberg, Bertil; Ragettli, Martina S.; Pan, Shih-Chun; Guo, Yue Leon; Li, Shanshan; Schneider, Rochelle; Colistro, Valentina; Zanobetti, Antonella; Schwartz, Joel; Van Dung, Do; Ngoc Dang, Tran; Honda, YasushiThe rising humid heat is regarded as a severe threat to human survivability, but the proper integration of humid heat into heat-health alerts is still being explored. Using state-of-the-art epidemiological and climatological datasets, we examined the association between multiple heat stress indicators (HSIs) and daily human mortality in 739 cities worldwide. Notable differences were observed in the long-term trends and timing of heat events detected by HSIs. Air temperature (Tair) predicts heat-related mortality well in cities with a robust negative Tair-relative humidity correlation (CT-RH). However, in cities with near-zero or weak positive CT-RH, HSIs considering humidity provide enhanced predictive power compared to Tair. Furthermore, the magnitude and timing of heat-related mortality measured by HSIs could differ largely from those associated with Tair in many cities. Our findings provide important insights into specific regions where humans are vulnerable to humid heat and can facilitate the further enhancement of heat-health alert systems.