Browsing by Author "Zeka, Ariana"
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- All-cause, cardiovascular, and respiratory mortality and wildfire-related ozone: a multicountry two-stage time series analysisPublication . Chen, Gongbo; Guo, Yuming; Yue, Xu; Xu, Rongbin; Yu,Wenhua; Ye, Tingting; Tong, Shilu; Gasparrini, Antonio; Bell,Michelle L.; Armstrong, Ben; Schwartz, Joel; Jaakkola, Jouni J.K.; Lavigne, Eric; Saldiva, Paulo Hilario Nascimento; Kan, Haidong; Royé, Dominic; Urban, Aleš; Vicedo-Cabrera, Ana Maria; Tobias, Aurelio; Forsberg, Bertil; Sera, Francesco; Lei, Yadong; Abramson, Michael J.; Li, Shanshan; Abrutzky, Rosana; Alahmad, Barrak; Ameling, Caroline; Åström, Christofer; Breitner, Susanne; Carrasco-Escobar, Gabriel; Coêlho, Micheline de Sousa Zanotti Stagliorio; Colistro, Valentina; Correa, Patricia Matus; Dang, Tran Ngoc; de'Donato, Francesca; Dung, Do Van; Entezari, Alireza; Garcia, Samuel David Osorio; Garland, Rebecca M.; Goodman, Patrick; Guo, Yue Leon; Hashizume, Masahiro; Holobaca, Iulian-Horia; Honda, Yasushi; Houthuijs, Danny; Hurtado-Díaz, Magali; Íñiguez, Carmen; Katsouyanni, Klea; Kim, Ho; Kyselý, Jan; Lee, Whanhee; Maasikmets, Marek; Madureira, Joana; Mayvaneh, Fatemeh; Nunes, Baltazar; Orru, Hans; Ortega, Nicol´s Valdés; Overcenco, Ala; Pan, Shih-Chun; Pascal, Mathilde; Ragettli, Martina S.; Rao, Shilpa; Ryti, Niilo R.I.; Samoli, Evangelia; Schneider, Alexandra; Scovronick, Noah; Seposo, Xerxes; Stafoggia, Massimo; Valencia, César De la Cruz; Zanobetti, Antonella; Zeka, Ariana; behalf of the Multi-Country Multi-City Collaborative Research NetworkBackground: Wildfire activity is an important source of tropospheric ozone (O3) pollution. However, no study to date has systematically examined the associations of wildfire-related O3 exposure with mortality globally. Methods: We did a multicountry two-stage time series analysis. From the Multi-City Multi-Country (MCC) Collaborative Research Network, data on daily all-cause, cardiovascular, and respiratory deaths were obtained from 749 locations in 43 countries or areas, representing overlapping periods from Jan 1, 2000, to Dec 31, 2016. We estimated the daily concentration of wildfire-related O3 in study locations using a chemical transport model, and then calibrated and downscaled O3 estimates to a resolution of 0·25° × 0·25° (approximately 28 km2 at the equator). Using a random-effects meta-analysis, we examined the associations of short-term wildfire-related O3 exposure (lag period of 0-2 days) with daily mortality, first at the location level and then pooled at the country, regional, and global levels. Annual excess mortality fraction in each location attributable to wildfire-related O3 was calculated with pooled effect estimates and used to obtain excess mortality fractions at country, regional, and global levels. Findings: Between 2000 and 2016, the highest maximum daily wildfire-related O3 concentrations (≥30 μg/m3) were observed in locations in South America, central America, and southeastern Asia, and the country of South Africa. Across all locations, an increase of 1 μg/m3 in the mean daily concentration of wildfire-related O3 during lag 0-2 days was associated with increases of 0·55% (95% CI 0·29 to 0·80) in daily all-cause mortality, 0·44% (-0·10 to 0·99) in daily cardiovascular mortality, and 0·82% (0·18 to 1·47) in daily respiratory mortality. The associations of daily mortality rates with wildfire-related O3 exposure showed substantial geographical heterogeneity at the country and regional levels. Across all locations, estimated annual excess mortality fractions of 0·58% (95% CI 0·31 to 0·85; 31 606 deaths [95% CI 17 038 to 46 027]) for all-cause mortality, 0·41% (-0·10 to 0·91; 5249 [-1244 to 11 620]) for cardiovascular mortality, and 0·86% (0·18 to 1·51; 4657 [999 to 8206]) for respiratory mortality were attributable to short-term exposure to wildfire-related O3. Interpretation: In this study, we observed an increase in all-cause and respiratory mortality associated with short-term wildfire-related O3 exposure. Effective risk and smoke management strategies should be implemented to protect the public from the impacts of wildfires.
- 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.
- Fluctuating temperature modifies heat-mortality association around the globePublication . Wu, Yao; Wen, Bo; Li, Shanshan; Gasparrini, Antonio; Tong, Shilu; Overcenco, Ala; Urban, Aleš; Schneider, Alexandra; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zanobetti, Antonella; Analitis, Antonis; Zeka, Ariana; Tobias, Aurelio; Alahmad, Barrak; Armstrong, Ben; Forsberg, Bertil; Íñiguez, Carmen; Ameling, Caroline; De la Cruz Valencia, César; Åström, Christofer; Houthuijs, Danny; Van Dung, Do; Royé, Dominic; Indermitte, Ene; Lavigne, Eric; Mayvaneh, Fatemeh; Acquaotta, Fiorella; de’Donato, Francesca; Sera, Francesco; Carrasco-Escobar, Gabriel; Kan, Haidong; Orru, Hans; Kim, Ho; Holobaca, Iulian-Horia; Kyselý, Jan; Madureira, Joana; Schwartz, Joel; Katsouyanni, Klea; Hurtado-Diaz, Magali; Ragettli, Martina S.; Hashizume, Masahiro; Pascal, Mathilde; de Sousa Zanotti Stagliorio Coélho, Micheline; Scovronick, Noah; Michelozzi, Paola; Goodman, Patrick; Nascimento Saldiva, Paulo Hilario; Abrutzky, Rosana; Osorio, Samuel; Dang, Tran Ngoc; Colistro, Valentina; Huber, Veronika; Lee, Whanhee; Seposo, Xerxes; Honda, Yasushi; Bell, Michelle L.; Guo, YumingStudies have investigated the effects of heat and temperature variability (TV) on mortality. However, few assessed whether TV modifies the heat-mortality association. Data on daily temperature and mortality in the warm season were collected from 717 locations across 36 countries. TV was calculated as the standard deviation of the average of the same and previous days' minimum and maximum temperatures. We used location-specific quasi-Poisson regression models with an interaction term between the cross-basis term for mean temperature and quartiles of TV to obtain heat-mortality associations under each quartile of TV, and then pooled estimates at the country, regional, and global levels. Results show the increased risk in heat-related mortality with increments in TV, accounting for 0.70% (95% confidence interval [CI]: -0.33 to 1.69), 1.34% (95% CI: -0.14 to 2.73), 1.99% (95% CI: 0.29-3.57), and 2.73% (95% CI: 0.76-4.50) of total deaths for Q1-Q4 (first quartile-fourth quartile) of TV. The modification effects of TV varied geographically. Central Europe had the highest attributable fractions (AFs), corresponding to 7.68% (95% CI: 5.25-9.89) of total deaths for Q4 of TV, while the lowest AFs were observed in North America, with the values for Q4 of 1.74% (95% CI: -0.09 to 3.39). TV had a significant modification effect on the heat-mortality association, causing a higher heat-related mortality burden with increments of TV. Implementing targeted strategies against heat exposure and fluctuant temperatures simultaneously would benefit public health.
- Geographical Variations of the Minimum Mortality Temperature at a Global ScalePublication . Tobías, Aurelio; Hashizume, Masahiro; Honda, Yasushi; Sera, Francesco; Ng, Chris Fook Sheng; Kim, Yoonhee; Roye, Dominic; Chung, Yeonseung; Dang, Tran Ngoc; Kim, Ho; Lee, Whanhee; Íñiguez, Carmen; Vicedo-Cabrera, Ana; Abrutzky, Rosana; Guo, Yuming; Tong, Shilu; Coelho, Micheline de Sousa Zanotti Stagliorio; Saldiva, Paulo Hilario Nascimento; Lavigne, Eric; Correa, Patricia Matus; Ortega, Nicolás Valdés; Kan, Haidong; Osorio, Samuel; Kyselý, Jan; Urban, Aleš; Orru, Hans; Indermitte, Ene; Jaakkola, Jouni J.K.; Ryti, Niilo R.I.; Pascal, Mathilde; Huber, Veronika; Schneider, Alexandra; Katsouyanni, Klea; Analitis, Antonis; Entezari, Alireza; Mayvaneh, Fatemeh; Goodman, Patrick; Zeka, Ariana; Michelozzi, Paola; de’Donato, Francesca; Alahmad, Barrak; Diaz, Magali Hurtado; De la Cruz Valencia, César; Overcenco, Ala; Houthuijs, Danny; Ameling, Caroline; Rao, Shilpa; Di Ruscio, Francesco; Carrasco, Gabriel; Seposo, Xerxes; Nunes, Baltazar; Madureira, Joana; Holobaca, Iulian-Horia; Scovronick, Noah; Acquaotta, Fiorella; Forsberg, Bertil; Åström, Christofer; Ragettli, Martina S.; Guo, Yue-Liang Leon; Chen, Bing-Yu; Li, Shanshan; Colistro, Valentina; Zanobetti, Antonella; Schwartz, Joel; Dung, Do Van; Armstrong, Ben; Gasparrini, AntonioBackground: Minimum mortality temperature (MMT) is an important indicator to assess the temperature-mortality association, indicating long-term adaptation to local climate. Limited evidence about the geographical variability of the MMT is available at a global scale. Methods: We collected data from 658 communities in 43 countries under different climates. We estimated temperature-mortality associations to derive the MMT for each community using Poisson regression with distributed lag nonlinear models. We investigated the variation in MMT by climatic zone using a mixed-effects meta-analysis and explored the association with climatic and socioeconomic indicators. Results: The geographical distribution of MMTs varied considerably by country between 14.2 and 31.1 °C decreasing by latitude. For climatic zones, the MMTs increased from alpine (13.0 °C) to continental (19.3 °C), temperate (21.7 °C), arid (24.5 °C), and tropical (26.5 °C). The MMT percentiles (MMTPs) corresponding to the MMTs decreased from temperate (79.5th) to continental (75.4th), arid (68.0th), tropical (58.5th), and alpine (41.4th). The MMTs indreased by 0.8 °C for a 1 °C rise in a community's annual mean temperature, and by 1 °C for a 1 °C rise in its SD. While the MMTP decreased by 0.3 centile points for a 1 °C rise in a community's annual mean temperature and by 1.3 for a 1 °C rise in its SD. Conclusions: The geographical distribution of the MMTs and MMTPs is driven mainly by the mean annual temperature, which seems to be a valuable indicator of overall adaptation across populations. Our results suggest that populations have adapted to the average temperature, although there is still more room for adaptation.
- Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019: a multi-country time-series studyPublication . Huang, Wenzhong; Li, Shanshan; Vogt, Thomas; Xu, Rongbin; Tong, Shilu; Molina, Tomás; Masselot, Pierre; Gasparrini, Antonio; Armstrong, Ben; Pascal, Mathilde; Royé, Dominic; Sheng Ng, Chris Fook; Vicedo-Cabrera, Ana Maria; Schwartz, Joel; Lavigne, Eric; Kan, Haidong; Goodman, Patrick; Zeka, Ariana; Hashizume, Masahiro; Diaz, Magali Hurtado; De la Cruz Valencia, César; Seposo, Xerxes; Nunes, Baltazar; Madureira, Joana; Kim, Ho; Lee, Whanhee; Tobias, Aurelio; Íñiguez, Carmen; Guo, Yue Leon; Pan, Shih-Chun; Zanobetti, Antonella; Dang, Tran Ngoc; Van Dung, Do; Geiger, Tobias; Otto, Christian; Johnson, Amanda; Hales, Simon; Yu, Pei; Yang, Zhengyu; Ritchie, Elizabeth A.; Guo, YumingBackground: The global spatiotemporal pattern of mortality risk and burden attributable to tropical cyclones is unclear. We aimed to evaluate the global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019. Methods: The wind speed associated with cyclones from 1980 to 2019 was estimated globally through a parametric wind field model at a grid resolution of 0·5° × 0·5°. A total of 341 locations with daily mortality and temperature data from 14 countries that experienced at least one tropical cyclone day (a day with maximum sustained wind speed associated with cyclones ≥17·5 m/s) during the study period were included. A conditional quasi-Poisson regression with distributed lag non-linear model was applied to assess the tropical cyclone-mortality association. A meta-regression model was fitted to evaluate potential contributing factors and estimate grid cell-specific tropical cyclone effects. Findings: Tropical cyclone exposure was associated with an overall 6% (95% CI 4-8) increase in mortality in the first 2 weeks following exposure. Globally, an estimate of 97 430 excess deaths (95% empirical CI [eCI] 71 651-126 438) per decade were observed over the 2 weeks following exposure to tropical cyclones, accounting for 20·7 (95% eCI 15·2-26·9) excess deaths per 100 000 residents (excess death rate) and 3·3 (95% eCI 2·4-4·3) excess deaths per 1000 deaths (excess death ratio) over 1980-2019. The mortality burden exhibited substantial temporal and spatial variation. East Asia and south Asia had the highest number of excess deaths during 1980-2019: 28 744 (95% eCI 16 863-42 188) and 27 267 (21 157-34 058) excess deaths per decade, respectively. In contrast, the regions with the highest excess death ratios and rates were southeast Asia and Latin America and the Caribbean. From 1980-99 to 2000-19, marked increases in tropical cyclone-related excess death numbers were observed globally, especially for Latin America and the Caribbean and south Asia. Grid cell-level and country-level results revealed further heterogeneous spatiotemporal patterns such as the high and increasing tropical cyclone-related mortality burden in Caribbean countries or regions. Interpretation: Globally, short-term exposure to tropical cyclones was associated with a significant mortality burden, with highly heterogeneous spatiotemporal patterns. In-depth exploration of tropical cyclone epidemiology for those countries and regions estimated to have the highest and increasing tropical cyclone-related mortality burdens is urgently needed to help inform the development of targeted actions against the increasing adverse health impacts of tropical cyclones under a changing climate.
- Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019: a multi-country time-series studyPublication . Huang, Wenzhong; Li, Shanshan; Vogt, Thomas; Xu, Rongbin; Tong, Shilu; Molina, Tomás; Masselot, Pierre; Gasparrini, Antonio; Armstrong, Ben; Pascal, Mathilde; Royé, Dominic; Sheng Ng, Chris Fook; Vicedo-Cabrera, Ana Maria; Schwartz, Joel; Lavigne, Eric; Kan, Haidong; Goodman, Patrick; Zeka, Ariana; Hashizume, Masahiro; Diaz, Magali Hurtado; Valencia, César De la Cruz; Seposo, Xerxes; Nunes, Baltazar; Madureira, Joana; Kim, Ho; Lee, Whanhee; Tobias, Aurelio; Íñiguez, Carmen; Guo, Yue Leon; Pan, Shih-Chun; Zanobetti, Antonella; Dang, Tran Ngoc; Dung, Do Van; Geiger, Tobias; Otto, Christian; Johnson, Amanda; Hales, Simon; Pei Yu; Yang, Zhengyu; Ritchie, Elizabeth A.; Guo, YumingBackground: The global spatiotemporal pattern of mortality risk and burden attributable to tropical cyclones is unclear. We aimed to evaluate the global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019. Methods: The wind speed associated with cyclones from 1980 to 2019 was estimated globally through a parametric wind field model at a grid resolution of 0·5° × 0·5°. A total of 341 locations with daily mortality and temperature data from 14 countries that experienced at least one tropical cyclone day (a day with maximum sustained wind speed associated with cyclones ≥17·5 m/s) during the study period were included. A conditional quasi-Poisson regression with distributed lag non-linear model was applied to assess the tropical cyclone-mortality association. A meta-regression model was fitted to evaluate potential contributing factors and estimate grid cell-specific tropical cyclone effects. Findings: Tropical cyclone exposure was associated with an overall 6% (95% CI 4-8) increase in mortality in the first 2 weeks following exposure. Globally, an estimate of 97 430 excess deaths (95% empirical CI [eCI] 71 651-126 438) per decade were observed over the 2 weeks following exposure to tropical cyclones, accounting for 20·7 (95% eCI 15·2-26·9) excess deaths per 100 000 residents (excess death rate) and 3·3 (95% eCI 2·4-4·3) excess deaths per 1000 deaths (excess death ratio) over 1980-2019. The mortality burden exhibited substantial temporal and spatial variation. East Asia and south Asia had the highest number of excess deaths during 1980-2019: 28 744 (95% eCI 16 863-42 188) and 27 267 (21 157-34 058) excess deaths per decade, respectively. In contrast, the regions with the highest excess death ratios and rates were southeast Asia and Latin America and the Caribbean. From 1980-99 to 2000-19, marked increases in tropical cyclone-related excess death numbers were observed globally, especially for Latin America and the Caribbean and south Asia. Grid cell-level and country-level results revealed further heterogeneous spatiotemporal patterns such as the high and increasing tropical cyclone-related mortality burden in Caribbean countries or regions. Interpretation: Globally, short-term exposure to tropical cyclones was associated with a significant mortality burden, with highly heterogeneous spatiotemporal patterns. In-depth exploration of tropical cyclone epidemiology for those countries and regions estimated to have the highest and increasing tropical cyclone-related mortality burdens is urgently needed to help inform the development of targeted actions against the increasing adverse health impacts of tropical cyclones under a changing climate.
- Global, regional, and national burden of mortality associated with cold spells during 2000–19: a three-stage modelling studyPublication . Gao, Yuan; Huang, Wenzhong; Zhao, Qi; Ryti, Niilo; Armstrong, Ben; Gasparrini, Antonio; Tong, Shilu; Pascal, Mathilde; Urban, Aleš; Zeka, Ariana; Lavigne, Eric; Madureira, Joana; Goodman, Patrick; Huber, Veronika; Forsberg, Bertil; Kyselý, Jan; Sera, Francesco; Guo, Yuming; Li, Shanshan; Gao, Yuan; Huang, Wenzhong; Zhao, Qi; Ryti, Niilo; Armstrong, Ben; Gasparrini, Antonio; Tong, Shilu; Pascal, Mathilde; Urban, Aleš; Zeka, Ariana; Lavigne, Eric; Madureira, Joana; Goodman, Patrick; Huber, Veronika; Forsberg, Bertil; Kyselý, Jan; Sera, Francesco; Bell, Michelle; Simon Hales; Honda, Yasushi; Jaakkola, Jouni J.K.; Tobias, Aurelio; Vicedo-Cabrera, Ana Maria; Abrutzky, Rosana; Coelho, Micheline de Sousa Zanotti Stagliorio; Saldiva, Paulo Hilario Nascimento; Correa, Patricia Matus; Ortega, Nicolás Valdés; Kan, Haidong; Osorio, Samuel; Roye, Dominic; Orru, Hans; Indermitte, Ene; Schneider, Alexandra; Katsouyanni, Klea; Analitis, Antonis; Carlsen, Hanne Krage; Mayvaneh, Fatemeh; Roradeh, Hematollah; Raz, Raanan; Michelozzi, Paola; de'Donato, Francesca; Hashizume, Masahiro; Kim, Yoonhee; Alahmad, Barrak; Cauchy, John Paul; Diaz, Magali Hurtado; Arellano, Eunice Elizabeth Félix; Valencia, César De la Cruz; Overcenco, Ala; Houthuijs, Danny; Ameling, Caroline; Rao, Shilpa; Carrasco, Gabriel; Seposo, Xerxes; Chua, Paul Lester Carlos; Silva, Susana das Neves Pereira da; Nunes, Baltazar; Holobaca, Iulian-Horia; Cvijanovic, Ivana; Mistry, Malcolm; Scovronick, Noah; Acquaotta, Fiorella; Kim, Ho; Lee, Whanhee; Íñiguez, Carmen; Åström, Christofer; Ragettli, Martina S.; Guo, Yue Leon; Pan, Shih-Chun; Colistro, Valentina; Zanobetti, Antonella; Schwartz, Joel; Dang, Tran Ngoc; Dung, Do Van; Guo, Yuming; Li, ShanshanBackground: Exposure to cold spells is associated with mortality. However, little is known about the global mortality burden of cold spells. Methods: A three-stage meta-analytical method was used to estimate the global mortality burden associated with cold spells by means of a time series dataset of 1960 locations across 59 countries (or regions). First, we fitted the location-specific, cold spell-related mortality associations using a quasi-Poisson regression with a distributed lag non-linear model with a lag period of up to 21 days. Second, we built a multivariate meta-regression model between location-specific associations and seven predictors. Finally, we predicted the global grid-specific cold spell-related mortality associations during 2000-19 using the fitted meta-regression model and the yearly grid-specific meta-predictors. We calculated the annual excess deaths, excess death ratio (excess deaths per 1000 deaths), and excess death rate (excess deaths per 100 000 population) due to cold spells for each grid across the world. Findings: Globally, 205 932 (95% empirical CI [eCI] 162 692-250 337) excess deaths, representing 3·81 (95% eCI 2·93-4·71) excess deaths per 1000 deaths (excess death ratio), and 3·03 (2·33-3·75) excess deaths per 100 000 population (excess death rate) were associated with cold spells per year between 2000 and 2019. The annual average global excess death ratio in 2016-19 increased by 0·12 percentage points and the excess death rate in 2016-19 increased by 0·18 percentage points, compared with those in 2000-03. The mortality burden varied geographically. The excess death ratio and rate were highest in Europe, whereas these indicators were lowest in Africa. Temperate climates had higher excess death ratio and rate associated with cold spells than other climate zones. Interpretation: Cold spells are associated with substantial mortality burden around the world with geographically varying patterns. Although the number of cold spells has on average been decreasing since year 2000, the public health threat of cold spells remains substantial. The findings indicate an urgency of taking local and regional measures to protect the public from the mortality burdens of cold spells. Funding: Australian Research Council, Australian National Health and Medical Research Council, EU's Horizon 2020 Project Exhaustion.
- Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling studyPublication . Zhao, Qi; Guo, Yuming; Ye, Tingting; Gasparrini, Antonio; Tong, Shilu; Overcenco, Ala; Urban, Aleš; Schneider, Alexandra; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zanobetti, Antonella; Analitis, Antonis; Zeka, Ariana; Tobias, Aurelio; Nunes, Baltazar; Alahmad, Barrak; Armstrong, Ben; Forsberg, Bertil; Pan, Shih-Chun; Íñiguez, Carmen; Ameling, Caroline; De la Cruz Valencia, César; Åström, Christofer; Houthuijs, Danny; Dung, Do Van; Royé, Dominic; Indermitte, Ene; Lavigne, Eric; Mayvaneh, Fatemeh; Acquaotta, Fiorella; de'Donato, Francesca; Di Ruscio, Francesco; Sera, Francesco; Carrasco-Escobar, Gabriel; Kan, Haidong; Orru, Hans; Kim, Ho; Holobaca, Iulian-Horia; Kyselý, Jan; Madureira, Joana; Schwartz, Joel; Jaakkola, Jouni J.K.; Katsouyanni, Klea; Hurtado Diaz, Magali; Ragettli, Martina S.; Hashizume, Masahiro; Pascal, Mathilde; de Sousa Zanotti Stagliorio Coélho, Micheline; Valdés Ortega, Nicolás; Ryti, Niilo; Scovronick, Noah; Michelozzi, Paola; Matus Correa, Patricia; Goodman, Patrick; Nascimento Saldiva, Paulo Hilario; Abrutzky, Rosana; Osorio, Samuel; Rao, Shilpa; Fratianni, Simona; Dang, Tran Ngoc; Colistro, Valentina; Huber, Veronika; Lee, Whanhee; Seposo, Xerxes; Honda, Yasushi; Guo, Yue Leon; Bell, Michelle L.; Li, ShanshanBackground: Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. Methods: In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe. A three-stage analysis strategy was used. First, the temperature-mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the grid-specific temperature-mortality association between 2000 and 2019 was predicted by use of the fitted meta-regression and the grid-specific meta-predictors. Excess deaths due to non-optimal temperatures, the ratio between annual excess deaths and all deaths of a year (the excess death ratio), and the death rate per 100 000 residents were then calculated for each grid across the world. Grids were divided according to regional groupings of the UN Statistics Division. Findings: Globally, 5 083 173 deaths (95% empirical CI [eCI] 4 087 967-5 965 520) were associated with non-optimal temperatures per year, accounting for 9·43% (95% eCI 7·58-11·07) of all deaths (8·52% [6·19-10·47] were cold-related and 0·91% [0·56-1·36] were heat-related). There were 74 temperature-related excess deaths per 100 000 residents (95% eCI 60-87). The mortality burden varied geographically. Of all excess deaths, 2 617 322 (51·49%) occurred in Asia. Eastern Europe had the highest heat-related excess death rate and Sub-Saharan Africa had the highest cold-related excess death rate. From 2000-03 to 2016-19, the global cold-related excess death ratio changed by -0·51 percentage points (95% eCI -0·61 to -0·42) and the global heat-related excess death ratio increased by 0·21 percentage points (0·13-0·31), leading to a net reduction in the overall ratio. The largest decline in overall excess death ratio occurred in South-eastern Asia, whereas excess death ratio fluctuated in Southern Asia and Europe. Interpretation: Non-optimal temperatures are associated with a substantial mortality burden, which varies spatiotemporally. Our findings will benefit international, national, and local communities in developing preparedness and prevention strategies to reduce weather-related impacts immediately and under climate change scenarios.
- Mortality risk attributable to wildfire-related PM2·5 pollution: a global time series study in 749 locationsPublication . Chen, Gongbo; Guo, Yuming; Yue, Xu; Tong, Shilu; Gasparrini, Antonio; Bell, Michelle L.; Armstrong, Ben; Schwartz, Joel; Jaakkola, Jouni J.K.; Zanobetti, Antonella; Lavigne, Eric; Nascimento Saldiva, Paulo Hilario; Kan, Haidong; Royé, Dominic; Milojevic, Ai; Overcenco, Ala; Urban, Aleš; Schneider, Alexandra; Entezari, Alireza; Vicedo-Cabrera, Ana Maria; Zeka, Ariana; Tobias, Aurelio; Nunes, Baltazar; Alahmad, Barrak; Forsberg, Bertil; Pan, Shih-Chun; Íñiguez, Carmen; Ameling, Caroline; De la Cruz Valencia, César; Åström, Christofer; Houthuijs, Danny; Van Dung, Do; Samoli, Evangelia; Mayvaneh, Fatemeh; Sera, Francesco; Carrasco-Escobar, Gabriel; Lei, Yadong; Orru, Hans; Kim, Ho; Holobaca, Iulian-Horia; Kyselý, Jan; Teixeira, João Paulo; Madureira, Joana; Katsouyanni, Klea; Hurtado-Díaz, Magali; Maasikmets, Marek; Ragettli, Martina S.; Hashizume, Masahiro; Stafoggia, Massimo; Pascal, Mathilde; Scortichini, Matteo; de Sousa Zanotti Stagliorio Coêlho, Micheline; Valdés Ortega, Nicolás; Ryti, Niilo R.I.; Scovronick, Noah; Matus, Patricia; Goodman, Patrick; Garland, Rebecca M.; Abrutzky, Rosana; Garcia, Samuel Osorio; Rao, Shilpa; Fratianni, Simona; Dang, Tran Ngoc; Colistro, Valentina; Huber, Veronika; Lee, Whanhee; Seposo, Xerxes; Honda, Yasushi; Guo, Yue Leon; Ye, Tingting; Yu, Wenhua; Abramson, Michael J.; Samet, Jonathan M.; Li, ShanshanBackground: Many regions of the world are now facing more frequent and unprecedentedly large wildfires. However, the association between wildfire-related PM2·5 and mortality has not been well characterised. We aimed to comprehensively assess the association between short-term exposure to wildfire-related PM2·5 and mortality across various regions of the world. Methods: For this time series study, data on daily counts of deaths for all causes, cardiovascular causes, and respiratory causes were collected from 749 cities in 43 countries and regions during 2000-16. Daily concentrations of wildfire-related PM2·5 were estimated using the three-dimensional chemical transport model GEOS-Chem at a 0·25° × 0·25° resolution. The association between wildfire-related PM2·5 exposure and mortality was examined using a quasi-Poisson time series model in each city considering both the current-day and lag effects, and the effect estimates were then pooled using a random-effects meta-analysis. Based on these pooled effect estimates, the population attributable fraction and relative risk (RR) of annual mortality due to acute wildfire-related PM2·5 exposure was calculated. Findings: 65·6 million all-cause deaths, 15·1 million cardiovascular deaths, and 6·8 million respiratory deaths were included in our analyses. The pooled RRs of mortality associated with each 10 μg/m3 increase in the 3-day moving average (lag 0-2 days) of wildfire-related PM2·5 exposure were 1·019 (95% CI 1·016-1·022) for all-cause mortality, 1·017 (1·012-1·021) for cardiovascular mortality, and 1·019 (1·013-1·025) for respiratory mortality. Overall, 0·62% (95% CI 0·48-0·75) of all-cause deaths, 0·55% (0·43-0·67) of cardiovascular deaths, and 0·64% (0·50-0·78) of respiratory deaths were annually attributable to the acute impacts of wildfire-related PM2·5 exposure during the study period. Interpretation: Short-term exposure to wildfire-related PM2·5 was associated with increased risk of mortality. Urgent action is needed to reduce health risks from the increasing wildfires.
- Predicted temperature-increase-induced global health burden and its regional variabilityPublication . Lee, Jae Young; Kim, Ho; Gasparrini, Antonio; Armstrong, Ben; Bell, Michelle L.; Sera, Francesco; Lavigne, Eric; Abrutzky, Rosana; Tong, Shilu; Coelho, Micheline de Sousa Zanotti Stagliorio; Saldiva, Paulo Hilario Nascimento; Correa, Patricia Matus; Ortega, Nicolas Valdes; Kan, Haidong; Garcia, Samuel Osorio; Kyselý, Jan; Urban, Aleš; Orru, Hans; Indermitte, Ene; Jaakkola, Jouni J.K.; Ryti, Niilo R.I.; Pascal, Mathilde; Goodman, Patrick G.; Zeka, Ariana; Michelozzi, Paola; Scortichini, Matteo; Hashizume, Masahiro; Honda, Yasushi; Hurtado, Magali; Cruz, Julio; Seposo, Xerxes; Nunes, Baltazar; Teixeira, João Paulo; Tobias, Aurelio; Íñiguez, Carmen; Forsberg, Bertil; Åström, Christofer; Vicedo-Cabrera, Ana Maria; Ragettli, Martina S.; Guo, Yue-Liang Leon; Chen, Bing-Yu; Zanobetti, Antonella; Schwartz, Joel; Dang, Tran Ngoc; Do Van, Dung; Mayvaneh, Fetemeh; Overcenco, Ala; Li, Shanshan; Guo, YumingAn increase in the global health burden of temperature was projected for 459 locations in 28 countries worldwide under four representative concentration pathway scenarios until 2099. We determined that the amount of temperature increase for each 100 ppm increase in global CO2 concentrations is nearly constant, regardless of climate scenarios. The overall average temperature increase during 2010-2099 is largest in Canada (1.16 °C/100 ppm) and Finland (1.14 °C/100 ppm), while it is smallest in Ireland (0.62 °C/100 ppm) and Argentina (0.63 °C/100 ppm). In addition, for each 1 °C temperature increase, the amount of excess mortality is increased largely in tropical countries such as Vietnam (10.34%p/°C) and the Philippines (8.18%p/°C), while it is decreased in Ireland (-0.92%p/°C) and Australia (-0.32%p/°C). To understand the regional variability in temperature increase and mortality, we performed a regression-based modeling. We observed that the projected temperature increase is highly correlated with daily temperature range at the location and vulnerability to temperature increase is affected by health expenditure, and proportions of obese and elderly population.
