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description Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Authors: Yao Wu; Shanshan Li; Yuming Guo; Bo Wen;pmid: 33915087
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For further information contact us at helpdesk@openaire.euAccess Routesgold 20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Elsevier BV Yao Wu; Bo Wen; Wenzhong Huang; Shanshan Li; Yuming Guo; Yuan Gao; Ke Ju;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 30 citations 30 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Elsevier BV Bo Wen; Rongbin Xu; Yao Wu; Micheline de Sousa Zanotti Stagliorio Coêlho; Paulo Hilario Nascimento Saldiva; Yuming Guo; Shanshan Li;Climate change is increasing the risks of injuries, diseases, and deaths globally. However, the association between ambient temperature and renal diseases has not been fully characterized. This study aimed to quantify the risk and attributable burden for hospitalizations of renal diseases related to ambient temperature.Daily hospital admission data from 1816 cities in Brazil were collected during 2000 and 2015. A time-stratified case-crossover design was applied to evaluate the association between temperature and renal diseases. Relative risks (RRs), attributable fractions (AFs), and their confidence intervals (CIs) were calculated to estimate the associations and attributable burden.A total of 2,726,886 hospitalizations for renal diseases were recorded during the study period. For every 1°C increase in daily mean temperature, the estimated risk of hospitalization for renal diseases over lag 0-7 days increased by 0·9% (RR = 1·009, 95% CI: 1·008-1·010) at the national level. The associations between temperature and renal diseases were largest at lag 0 days but remained for lag 1-2 days. The risk was more prominent in females, children aged 0-4 years, and the elderly ≥ 80 years. 7·4% (95% CI: 5·2-9·6%) of hospitalizations for renal diseases could be attributable to the increase of temperature, equating to 202,093 (95% CI: 141,554-260,594) cases.This nationwide study provides robust evidence that more policies should be developed to prevent heat-related hospitalizations and mitigate climate change.China Scholarship Council, and the Australian National Health and Medical Research Council.
The Lancet Regional ... arrow_drop_down The Lancet Regional Health - AmericasArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Lancet Regional ... arrow_drop_down The Lancet Regional Health - AmericasArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 11 Oct 2024 Spain, Czech Republic, Greece, Switzerland, Australia, Czech Republic, United Kingdom, Portugal, United KingdomPublisher:Elsevier BV Publicly fundedFunded by:UKRI | Half a degree Additional ..., ARC | Discovery Projects - Gran..., EC | EXHAUSTION +3 projectsUKRI| Half a degree Additional warming: Prognosis and Projected Impacts on Health (HAPPI-Health) ,ARC| Discovery Projects - Grant ID: DP210102076 ,EC| EXHAUSTION ,NHMRC| Climate Change and Human Health in Asia: Current Impacts, Future Risks, and Health Benefits of Mitigation Policies ,FCT| SFRH/BPD/115112/2016 ,NIH| HERCULES: Health and Exposome Research Center at EmoryYao Wu; Shanshan Li; Qi Zhao; Bo Wen; Antonio Gasparrini; Shilu Tong; Ala Overcenco; Aleš Urban; Alexandra Schneider; Alireza Entezari; Ana Maria Vicedo-Cabrera; Antonella Zanobetti; Antonis Analitis; Ariana Zeka; Aurelio Tobı́as; Baltazar Nunes; Barrak Alahmad; Ben Armstrong; Bertil Forsberg; Shih‐Chun Pan; Carmen Íñiguez; Caroline Ameling; César De la Cruz Valencia; Christofer Åström; Danny Houthuijs; Do Van Dung; Dominic Royé; Ene Indermitte; Éric Lavigne; Fatemeh Mayvaneh; Fiorella Acquaotta; Francesca de'Donato; Shilpa Rao; Francesco Sera; Gabriel Carrasco-Escobar; Haidong Kan; Hans Orru; Ho Kim; Iulian‐Horia Holobâcă; Jan Kyselý; Joana Madureira; Joel Schwartz; Jouni J. K. Jaakkola; Klea Katsouyanni; Magali Hurtado Díaz; Martina S. Ragettli; Masahiro Hashizume; Mathilde Pascal; Micheline de Sousa Zanotti Stagliorio Coêlho; Nicolás Valdés Ortega; Niilo Ryti; Noah Scovronick; Paola Michelozzi; Patricia Matus Correa; Patrick Goodman; Paulo Hilário Nascimento Saldiva; Rosana Abrutzky; Samuel Osorio; Trần Ngọc Đăng; Valentina Colistro; Veronica Huber; Whanhee Lee; Xerxes Seposo; Yasushi Honda; Yujun Guo; Michelle L. Bell; Yuming Guo;doi: 10.1016/s2542-5196(22)00073-0 , 10.60692/vgq5b-nvc31 , 10.60692/610e7-jyv72 , 10.48350/170028 , 10.5451/unibas-ep91013
pmid: 35550080
pmc: PMC9177161
handle: 10261/270502
doi: 10.1016/s2542-5196(22)00073-0 , 10.60692/vgq5b-nvc31 , 10.60692/610e7-jyv72 , 10.48350/170028 , 10.5451/unibas-ep91013
pmid: 35550080
pmc: PMC9177161
handle: 10261/270502
L'augmentation du risque de mortalité est associée à une variabilité de la température à court terme. Cependant, à notre connaissance, il n'y a pas eu d'évaluation complète de la charge de mortalité liée à la variabilité de la température dans le monde. Dans cette étude, en utilisant les données du MCC Collaborative Research Network, nous avons d'abord exploré l'association entre la variabilité de la température et la mortalité dans 43 pays ou régions. Ensuite, pour fournir une image plus complète de la charge mondiale de mortalité associée à la variabilité de la température, des données de température maillées mondiales avec une résolution de 0,5° ×0,5° ont été utilisées pour évaluer la charge de mortalité liée à la variabilité de la température aux niveaux mondial, régional et national. En outre, les tendances temporelles de la charge de mortalité liée à la variabilité de la température ont également été explorées à partir de 2000-19. Dans cette étude de modélisation, nous avons appliqué une approche méta-analytique en trois étapes pour évaluer la charge de mortalité liée à la variabilité de la température mondiale à une résolution spatiale de 0,5° ×0,5° à partir de 2000-19. La variabilité de la température a été calculée comme l'écart-type de la moyenne des températures minimales et maximales des mêmes jours et des jours précédents. Nous avons d'abord obtenu des associations de mortalité liées à la variabilité de la température spécifiques à l'emplacement sur la base d'une série temporelle quotidienne de 750 emplacements du Multi-country Multi-city Collaborative Research Network. Nous avons ensuite construit un modèle de méta-régression multivariable avec cinq prédicteurs pour estimer les associations de mortalité liées à la variabilité de la température spécifique à la grille à travers le monde. Enfin, le pourcentage d'excès de mortalité et le taux de surmortalité ont été calculés pour quantifier la charge de mortalité liée à la variabilité de la température et pour explorer davantage sa tendance temporelle sur deux décennies. Une tendance croissante de la variabilité de la température a été identifiée au niveau mondial de 2000 à 2019. À l'échelle mondiale, 1 753 392 décès (IC à 95 % 1 159 901-2 357 718) ont été associés à la variabilité de la température par an, représentant 3·4 % (2·2-4·6) de tous les décès. La plupart de l'Asie, de l'Australie et de la Nouvelle-Zélande présentaient un pourcentage de surmortalité plus élevé que la moyenne mondiale. À l'échelle mondiale, le pourcentage d'excès de mortalité a augmenté d'environ 4·6 % (3·7-5·3) par décennie. La plus forte augmentation s'est produite en Australie et en Nouvelle-Zélande (7,3 %, ICà 95 % 4,3-10,4), suivie de l'Europe (4,4 %, 2,2-5,6) et de l'Afrique (3,3,1,9-4,6). Globalement, une charge de mortalité substantielle a été associée à la variabilité de la température, montrant une hétérogénéité géographique et une tendance temporelle légèrement croissante. Nos résultats pourraient aider à sensibiliser le public et à améliorer la compréhension des impacts sur la santé de la variabilité de la température.Australian Research Council, Australian National Health & Medical Research Council. El aumento del riesgo de mortalidad se asocia con la variabilidad de la temperatura a corto plazo. Sin embargo, hasta donde sabemos, no ha habido una evaluación exhaustiva de la carga de mortalidad relacionada con la variabilidad de la temperatura en todo el mundo. En este estudio, utilizando datos de la Red de Investigación Colaborativa de MCC, primero exploramos la asociación entre la variabilidad de la temperatura y la mortalidad en 43 países o regiones. Luego, para proporcionar una imagen más completa de la carga global de mortalidad asociada con la variabilidad de la temperatura, se utilizaron datos de temperatura cuadriculados globales con una resolución de 0·5° × 0·5° para evaluar la carga de mortalidad relacionada con la variabilidad de la temperatura a nivel mundial, regional y nacional. Además, también se exploraron las tendencias temporales en la carga de mortalidad relacionada con la variabilidad de la temperatura desde 2000-19. En este estudio de modelado, aplicamos un enfoque metaanalítico de tres etapas para evaluar la carga de mortalidad relacionada con la variabilidad de la temperatura global a una resolución espacial de 0·5° × 0·5° desde 2000-19. La variabilidad de temperatura se calculó como la DE de la media de las temperaturas mínimas y máximas del mismo día y de los días anteriores. Primero obtuvimos asociaciones de mortalidad relacionadas con la variabilidad de temperatura específicas de la ubicación basadas en una serie temporal diaria de 750 ubicaciones de la Red de Investigación Colaborativa Multinacional y Multinacional. Posteriormente, construimos un modelo de metarregresión multivariable con cinco predictores para estimar las asociaciones de mortalidad relacionadas con la variabilidad de temperatura específicas de la cuadrícula en todo el mundo. Finalmente, se calculó el exceso porcentual de mortalidad y la tasa de mortalidad excesiva para cuantificar la carga de mortalidad relacionada con la variabilidad de la temperatura y para explorar más a fondo su tendencia temporal durante dos décadas. Se identificó una tendencia creciente en la variabilidad de la temperatura a nivel mundial de 2000 a 2019. A nivel mundial, 1 753 392 muertes (IC 95% 1 159 901-2 357 718) se asociaron con la variabilidad de la temperatura por año, lo que representa el 3·4% (2·2-4·6) de todas las muertes. Se observó que la mayor parte de Asia, Australia y Nueva Zelanda tenían un exceso porcentual de mortalidad mayor que la media mundial. A nivel mundial, el porcentaje de exceso de mortalidad aumentó en aproximadamente un 4,6% (3,7-5,3) por década. El mayor aumento se produjo en Australia y Nueva Zelanda (7·3%, IC 95% 4·3-10·4), seguido de Europa (4·4%, 2 · 2-5·6) y África (3·3, 1 · 9-4·6). A nivel mundial, una carga de mortalidad sustancial se asoció con la variabilidad de la temperatura, mostrando heterogeneidad geográfica y una tendencia temporal ligeramente creciente. Nuestros hallazgos podrían ayudar a aumentar la conciencia pública y mejorar la comprensión de los impactos en la salud de la variabilidad de la temperatura. Consejo Australiano de Investigación, Consejo Nacional Australiano de Investigación Médica y de Salud. Increased mortality risk is associated with short-term temperature variability. However, to our knowledge, there has been no comprehensive assessment of the temperature variability-related mortality burden worldwide. In this study, using data from the MCC Collaborative Research Network, we first explored the association between temperature variability and mortality across 43 countries or regions. Then, to provide a more comprehensive picture of the global burden of mortality associated with temperature variability, global gridded temperature data with a resolution of 0·5° × 0·5° were used to assess the temperature variability-related mortality burden at the global, regional, and national levels. Furthermore, temporal trends in temperature variability-related mortality burden were also explored from 2000-19.In this modelling study, we applied a three-stage meta-analytical approach to assess the global temperature variability-related mortality burden at a spatial resolution of 0·5° × 0·5° from 2000-19. Temperature variability was calculated as the SD of the average of the same and previous days' minimum and maximum temperatures. We first obtained location-specific temperature variability related-mortality associations based on a daily time series of 750 locations from the Multi-country Multi-city Collaborative Research Network. We subsequently constructed a multivariable meta-regression model with five predictors to estimate grid-specific temperature variability related-mortality associations across the globe. Finally, percentage excess in mortality and excess mortality rate were calculated to quantify the temperature variability-related mortality burden and to further explore its temporal trend over two decades.An increasing trend in temperature variability was identified at the global level from 2000 to 2019. Globally, 1 753 392 deaths (95% CI 1 159 901-2 357 718) were associated with temperature variability per year, accounting for 3·4% (2·2-4·6) of all deaths. Most of Asia, Australia, and New Zealand were observed to have a higher percentage excess in mortality than the global mean. Globally, the percentage excess in mortality increased by about 4·6% (3·7-5·3) per decade. The largest increase occurred in Australia and New Zealand (7·3%, 95% CI 4·3-10·4), followed by Europe (4·4%, 2·2-5·6) and Africa (3·3, 1·9-4·6).Globally, a substantial mortality burden was associated with temperature variability, showing geographical heterogeneity and a slightly increasing temporal trend. Our findings could assist in raising public awareness and improving the understanding of the health impacts of temperature variability.Australian Research Council, Australian National Health & Medical Research Council. ترتبط زيادة خطر الوفاة بتقلب درجة الحرارة على المدى القصير. ومع ذلك، على حد علمنا، لم يكن هناك تقييم شامل لعبء الوفيات المرتبطة بتقلب درجة الحرارة في جميع أنحاء العالم. في هذه الدراسة، باستخدام بيانات من شبكة البحوث التعاونية لمؤسسة تحدي الألفية، استكشفنا أولاً العلاقة بين تقلب درجة الحرارة والوفيات عبر 43 دولة أو منطقة. بعد ذلك، لتوفير صورة أكثر شمولاً للعبء العالمي للوفيات المرتبطة بتقلب درجة الحرارة، تم استخدام بيانات درجة الحرارة العالمية الشبكية بدقة 0·5° × 0·5° لتقييم عبء الوفيات المرتبط بتقلب درجة الحرارة على المستويات العالمية والإقليمية والوطنية. علاوة على ذلك، تم أيضًا استكشاف الاتجاهات الزمنية في عبء الوفيات المرتبط بتقلب درجة الحرارة من 2000-19. في دراسة النمذجة هذه، طبقنا نهجًا تحليليًا تلويًا من ثلاث مراحل لتقييم عبء الوفيات المرتبط بتقلب درجة الحرارة العالمية بدقة مكانية قدرها 0·5° × 0·5° من 2000-19. تم حساب تقلب درجة الحرارة على أنه SD لمتوسط نفس درجات الحرارة الدنيا والقصوى للأيام السابقة. حصلنا أولاً على ارتباطات الوفيات المرتبطة بتقلبات درجات الحرارة الخاصة بالموقع بناءً على سلسلة زمنية يومية تضم 750 موقعًا من شبكة الأبحاث التعاونية متعددة المدن. قمنا بعد ذلك ببناء نموذج ميتا انحدار متعدد المتغيرات مع خمسة تنبؤات لتقدير التقلبات في درجات الحرارة الخاصة بالشبكة والارتباطات المرتبطة بالوفيات في جميع أنحاء العالم. أخيرًا، تم حساب النسبة المئوية للزيادة في معدل الوفيات ومعدل الوفيات الزائد لتحديد عبء الوفيات المرتبط بتقلب درجة الحرارة ولمواصلة استكشاف اتجاهه الزمني على مدى عقدين من الزمن. تم تحديد اتجاه متزايد في تقلب درجة الحرارة على المستوى العالمي من عام 2000 إلى عام 2019. على الصعيد العالمي، ارتبطت 1،753،392 حالة وفاة (95 ٪ CI 1،159،901-2،357،718) بتقلب درجة الحرارة سنويًا، وهو ما يمثل 3·4 ٪ (2·2-4·6) من جميع الوفيات. ولوحظ أن معظم آسيا وأستراليا ونيوزيلندا لديها نسبة مئوية أعلى من الزيادة في الوفيات من المتوسط العالمي. على الصعيد العالمي، زادت النسبة المئوية للزيادة في الوفيات بنحو 4.6٪(3.7-5.3) لكل عقد. حدثت أكبر زيادة في أستراليا ونيوزيلندا (7·3 ٪، 95 ٪ CI 4·3-10·4)، تليها أوروبا (4· 4 ٪، 2·2-5·6) وأفريقيا (3·3، 1 · 9-4·6). على الصعيد العالمي، ارتبط عبء الوفيات الكبير بتقلب درجة الحرارة، مما يدل على عدم التجانس الجغرافي والاتجاه الزمني المتزايد قليلاً. يمكن أن تساعد النتائج التي توصلنا إليها في زيادة الوعي العام وتحسين فهم الآثار الصحية لتقلب درجة الحرارة. مجلس البحوث الأسترالي، المجلس الوطني الأسترالي للبحوث الصحية والطبية.
CORE arrow_drop_down Brunel University London: Brunel University Research Archive (BURA)Article . 2022License: CC BYFull-Text: http://bura.brunel.ac.uk/handle/2438/24828Data sources: Bielefeld Academic Search Engine (BASE)University of Basel: edocArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARepositório Aberto da Universidade do PortoArticle . 2022Data sources: Repositório Aberto da Universidade do PortoRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesQueensland University of Technology: QUT ePrintsArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 48visibility views 48 download downloads 94 Powered bymore_vert CORE arrow_drop_down Brunel University London: Brunel University Research Archive (BURA)Article . 2022License: CC BYFull-Text: http://bura.brunel.ac.uk/handle/2438/24828Data sources: Bielefeld Academic Search Engine (BASE)University of Basel: edocArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARepositório Aberto da Universidade do PortoArticle . 2022Data sources: Repositório Aberto da Universidade do PortoRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesQueensland University of Technology: QUT ePrintsArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Authors: Yao Wu; Shanshan Li; Yuming Guo; Bo Wen;pmid: 33915087
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For further information contact us at helpdesk@openaire.euAccess Routesgold 20 citations 20 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2020Publisher:Elsevier BV Yao Wu; Bo Wen; Wenzhong Huang; Shanshan Li; Yuming Guo; Yuan Gao; Ke Ju;add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 30 citations 30 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Publisher:Elsevier BV Bo Wen; Rongbin Xu; Yao Wu; Micheline de Sousa Zanotti Stagliorio Coêlho; Paulo Hilario Nascimento Saldiva; Yuming Guo; Shanshan Li;Climate change is increasing the risks of injuries, diseases, and deaths globally. However, the association between ambient temperature and renal diseases has not been fully characterized. This study aimed to quantify the risk and attributable burden for hospitalizations of renal diseases related to ambient temperature.Daily hospital admission data from 1816 cities in Brazil were collected during 2000 and 2015. A time-stratified case-crossover design was applied to evaluate the association between temperature and renal diseases. Relative risks (RRs), attributable fractions (AFs), and their confidence intervals (CIs) were calculated to estimate the associations and attributable burden.A total of 2,726,886 hospitalizations for renal diseases were recorded during the study period. For every 1°C increase in daily mean temperature, the estimated risk of hospitalization for renal diseases over lag 0-7 days increased by 0·9% (RR = 1·009, 95% CI: 1·008-1·010) at the national level. The associations between temperature and renal diseases were largest at lag 0 days but remained for lag 1-2 days. The risk was more prominent in females, children aged 0-4 years, and the elderly ≥ 80 years. 7·4% (95% CI: 5·2-9·6%) of hospitalizations for renal diseases could be attributable to the increase of temperature, equating to 202,093 (95% CI: 141,554-260,594) cases.This nationwide study provides robust evidence that more policies should be developed to prevent heat-related hospitalizations and mitigate climate change.China Scholarship Council, and the Australian National Health and Medical Research Council.
The Lancet Regional ... arrow_drop_down The Lancet Regional Health - AmericasArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 17 citations 17 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert The Lancet Regional ... arrow_drop_down The Lancet Regional Health - AmericasArticle . 2022 . Peer-reviewedLicense: CC BY NC NDData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022Embargo end date: 11 Oct 2024 Spain, Czech Republic, Greece, Switzerland, Australia, Czech Republic, United Kingdom, Portugal, United KingdomPublisher:Elsevier BV Publicly fundedFunded by:UKRI | Half a degree Additional ..., ARC | Discovery Projects - Gran..., EC | EXHAUSTION +3 projectsUKRI| Half a degree Additional warming: Prognosis and Projected Impacts on Health (HAPPI-Health) ,ARC| Discovery Projects - Grant ID: DP210102076 ,EC| EXHAUSTION ,NHMRC| Climate Change and Human Health in Asia: Current Impacts, Future Risks, and Health Benefits of Mitigation Policies ,FCT| SFRH/BPD/115112/2016 ,NIH| HERCULES: Health and Exposome Research Center at EmoryYao Wu; Shanshan Li; Qi Zhao; Bo Wen; Antonio Gasparrini; Shilu Tong; Ala Overcenco; Aleš Urban; Alexandra Schneider; Alireza Entezari; Ana Maria Vicedo-Cabrera; Antonella Zanobetti; Antonis Analitis; Ariana Zeka; Aurelio Tobı́as; Baltazar Nunes; Barrak Alahmad; Ben Armstrong; Bertil Forsberg; Shih‐Chun Pan; Carmen Íñiguez; Caroline Ameling; César De la Cruz Valencia; Christofer Åström; Danny Houthuijs; Do Van Dung; Dominic Royé; Ene Indermitte; Éric Lavigne; Fatemeh Mayvaneh; Fiorella Acquaotta; Francesca de'Donato; Shilpa Rao; Francesco Sera; Gabriel Carrasco-Escobar; Haidong Kan; Hans Orru; Ho Kim; Iulian‐Horia Holobâcă; Jan Kyselý; Joana Madureira; Joel Schwartz; Jouni J. K. Jaakkola; Klea Katsouyanni; Magali Hurtado Díaz; Martina S. Ragettli; Masahiro Hashizume; Mathilde Pascal; Micheline de Sousa Zanotti Stagliorio Coêlho; Nicolás Valdés Ortega; Niilo Ryti; Noah Scovronick; Paola Michelozzi; Patricia Matus Correa; Patrick Goodman; Paulo Hilário Nascimento Saldiva; Rosana Abrutzky; Samuel Osorio; Trần Ngọc Đăng; Valentina Colistro; Veronica Huber; Whanhee Lee; Xerxes Seposo; Yasushi Honda; Yujun Guo; Michelle L. Bell; Yuming Guo;doi: 10.1016/s2542-5196(22)00073-0 , 10.60692/vgq5b-nvc31 , 10.60692/610e7-jyv72 , 10.48350/170028 , 10.5451/unibas-ep91013
pmid: 35550080
pmc: PMC9177161
handle: 10261/270502
doi: 10.1016/s2542-5196(22)00073-0 , 10.60692/vgq5b-nvc31 , 10.60692/610e7-jyv72 , 10.48350/170028 , 10.5451/unibas-ep91013
pmid: 35550080
pmc: PMC9177161
handle: 10261/270502
L'augmentation du risque de mortalité est associée à une variabilité de la température à court terme. Cependant, à notre connaissance, il n'y a pas eu d'évaluation complète de la charge de mortalité liée à la variabilité de la température dans le monde. Dans cette étude, en utilisant les données du MCC Collaborative Research Network, nous avons d'abord exploré l'association entre la variabilité de la température et la mortalité dans 43 pays ou régions. Ensuite, pour fournir une image plus complète de la charge mondiale de mortalité associée à la variabilité de la température, des données de température maillées mondiales avec une résolution de 0,5° ×0,5° ont été utilisées pour évaluer la charge de mortalité liée à la variabilité de la température aux niveaux mondial, régional et national. En outre, les tendances temporelles de la charge de mortalité liée à la variabilité de la température ont également été explorées à partir de 2000-19. Dans cette étude de modélisation, nous avons appliqué une approche méta-analytique en trois étapes pour évaluer la charge de mortalité liée à la variabilité de la température mondiale à une résolution spatiale de 0,5° ×0,5° à partir de 2000-19. La variabilité de la température a été calculée comme l'écart-type de la moyenne des températures minimales et maximales des mêmes jours et des jours précédents. Nous avons d'abord obtenu des associations de mortalité liées à la variabilité de la température spécifiques à l'emplacement sur la base d'une série temporelle quotidienne de 750 emplacements du Multi-country Multi-city Collaborative Research Network. Nous avons ensuite construit un modèle de méta-régression multivariable avec cinq prédicteurs pour estimer les associations de mortalité liées à la variabilité de la température spécifique à la grille à travers le monde. Enfin, le pourcentage d'excès de mortalité et le taux de surmortalité ont été calculés pour quantifier la charge de mortalité liée à la variabilité de la température et pour explorer davantage sa tendance temporelle sur deux décennies. Une tendance croissante de la variabilité de la température a été identifiée au niveau mondial de 2000 à 2019. À l'échelle mondiale, 1 753 392 décès (IC à 95 % 1 159 901-2 357 718) ont été associés à la variabilité de la température par an, représentant 3·4 % (2·2-4·6) de tous les décès. La plupart de l'Asie, de l'Australie et de la Nouvelle-Zélande présentaient un pourcentage de surmortalité plus élevé que la moyenne mondiale. À l'échelle mondiale, le pourcentage d'excès de mortalité a augmenté d'environ 4·6 % (3·7-5·3) par décennie. La plus forte augmentation s'est produite en Australie et en Nouvelle-Zélande (7,3 %, ICà 95 % 4,3-10,4), suivie de l'Europe (4,4 %, 2,2-5,6) et de l'Afrique (3,3,1,9-4,6). Globalement, une charge de mortalité substantielle a été associée à la variabilité de la température, montrant une hétérogénéité géographique et une tendance temporelle légèrement croissante. Nos résultats pourraient aider à sensibiliser le public et à améliorer la compréhension des impacts sur la santé de la variabilité de la température.Australian Research Council, Australian National Health & Medical Research Council. El aumento del riesgo de mortalidad se asocia con la variabilidad de la temperatura a corto plazo. Sin embargo, hasta donde sabemos, no ha habido una evaluación exhaustiva de la carga de mortalidad relacionada con la variabilidad de la temperatura en todo el mundo. En este estudio, utilizando datos de la Red de Investigación Colaborativa de MCC, primero exploramos la asociación entre la variabilidad de la temperatura y la mortalidad en 43 países o regiones. Luego, para proporcionar una imagen más completa de la carga global de mortalidad asociada con la variabilidad de la temperatura, se utilizaron datos de temperatura cuadriculados globales con una resolución de 0·5° × 0·5° para evaluar la carga de mortalidad relacionada con la variabilidad de la temperatura a nivel mundial, regional y nacional. Además, también se exploraron las tendencias temporales en la carga de mortalidad relacionada con la variabilidad de la temperatura desde 2000-19. En este estudio de modelado, aplicamos un enfoque metaanalítico de tres etapas para evaluar la carga de mortalidad relacionada con la variabilidad de la temperatura global a una resolución espacial de 0·5° × 0·5° desde 2000-19. La variabilidad de temperatura se calculó como la DE de la media de las temperaturas mínimas y máximas del mismo día y de los días anteriores. Primero obtuvimos asociaciones de mortalidad relacionadas con la variabilidad de temperatura específicas de la ubicación basadas en una serie temporal diaria de 750 ubicaciones de la Red de Investigación Colaborativa Multinacional y Multinacional. Posteriormente, construimos un modelo de metarregresión multivariable con cinco predictores para estimar las asociaciones de mortalidad relacionadas con la variabilidad de temperatura específicas de la cuadrícula en todo el mundo. Finalmente, se calculó el exceso porcentual de mortalidad y la tasa de mortalidad excesiva para cuantificar la carga de mortalidad relacionada con la variabilidad de la temperatura y para explorar más a fondo su tendencia temporal durante dos décadas. Se identificó una tendencia creciente en la variabilidad de la temperatura a nivel mundial de 2000 a 2019. A nivel mundial, 1 753 392 muertes (IC 95% 1 159 901-2 357 718) se asociaron con la variabilidad de la temperatura por año, lo que representa el 3·4% (2·2-4·6) de todas las muertes. Se observó que la mayor parte de Asia, Australia y Nueva Zelanda tenían un exceso porcentual de mortalidad mayor que la media mundial. A nivel mundial, el porcentaje de exceso de mortalidad aumentó en aproximadamente un 4,6% (3,7-5,3) por década. El mayor aumento se produjo en Australia y Nueva Zelanda (7·3%, IC 95% 4·3-10·4), seguido de Europa (4·4%, 2 · 2-5·6) y África (3·3, 1 · 9-4·6). A nivel mundial, una carga de mortalidad sustancial se asoció con la variabilidad de la temperatura, mostrando heterogeneidad geográfica y una tendencia temporal ligeramente creciente. Nuestros hallazgos podrían ayudar a aumentar la conciencia pública y mejorar la comprensión de los impactos en la salud de la variabilidad de la temperatura. Consejo Australiano de Investigación, Consejo Nacional Australiano de Investigación Médica y de Salud. Increased mortality risk is associated with short-term temperature variability. However, to our knowledge, there has been no comprehensive assessment of the temperature variability-related mortality burden worldwide. In this study, using data from the MCC Collaborative Research Network, we first explored the association between temperature variability and mortality across 43 countries or regions. Then, to provide a more comprehensive picture of the global burden of mortality associated with temperature variability, global gridded temperature data with a resolution of 0·5° × 0·5° were used to assess the temperature variability-related mortality burden at the global, regional, and national levels. Furthermore, temporal trends in temperature variability-related mortality burden were also explored from 2000-19.In this modelling study, we applied a three-stage meta-analytical approach to assess the global temperature variability-related mortality burden at a spatial resolution of 0·5° × 0·5° from 2000-19. Temperature variability was calculated as the SD of the average of the same and previous days' minimum and maximum temperatures. We first obtained location-specific temperature variability related-mortality associations based on a daily time series of 750 locations from the Multi-country Multi-city Collaborative Research Network. We subsequently constructed a multivariable meta-regression model with five predictors to estimate grid-specific temperature variability related-mortality associations across the globe. Finally, percentage excess in mortality and excess mortality rate were calculated to quantify the temperature variability-related mortality burden and to further explore its temporal trend over two decades.An increasing trend in temperature variability was identified at the global level from 2000 to 2019. Globally, 1 753 392 deaths (95% CI 1 159 901-2 357 718) were associated with temperature variability per year, accounting for 3·4% (2·2-4·6) of all deaths. Most of Asia, Australia, and New Zealand were observed to have a higher percentage excess in mortality than the global mean. Globally, the percentage excess in mortality increased by about 4·6% (3·7-5·3) per decade. The largest increase occurred in Australia and New Zealand (7·3%, 95% CI 4·3-10·4), followed by Europe (4·4%, 2·2-5·6) and Africa (3·3, 1·9-4·6).Globally, a substantial mortality burden was associated with temperature variability, showing geographical heterogeneity and a slightly increasing temporal trend. Our findings could assist in raising public awareness and improving the understanding of the health impacts of temperature variability.Australian Research Council, Australian National Health & Medical Research Council. ترتبط زيادة خطر الوفاة بتقلب درجة الحرارة على المدى القصير. ومع ذلك، على حد علمنا، لم يكن هناك تقييم شامل لعبء الوفيات المرتبطة بتقلب درجة الحرارة في جميع أنحاء العالم. في هذه الدراسة، باستخدام بيانات من شبكة البحوث التعاونية لمؤسسة تحدي الألفية، استكشفنا أولاً العلاقة بين تقلب درجة الحرارة والوفيات عبر 43 دولة أو منطقة. بعد ذلك، لتوفير صورة أكثر شمولاً للعبء العالمي للوفيات المرتبطة بتقلب درجة الحرارة، تم استخدام بيانات درجة الحرارة العالمية الشبكية بدقة 0·5° × 0·5° لتقييم عبء الوفيات المرتبط بتقلب درجة الحرارة على المستويات العالمية والإقليمية والوطنية. علاوة على ذلك، تم أيضًا استكشاف الاتجاهات الزمنية في عبء الوفيات المرتبط بتقلب درجة الحرارة من 2000-19. في دراسة النمذجة هذه، طبقنا نهجًا تحليليًا تلويًا من ثلاث مراحل لتقييم عبء الوفيات المرتبط بتقلب درجة الحرارة العالمية بدقة مكانية قدرها 0·5° × 0·5° من 2000-19. تم حساب تقلب درجة الحرارة على أنه SD لمتوسط نفس درجات الحرارة الدنيا والقصوى للأيام السابقة. حصلنا أولاً على ارتباطات الوفيات المرتبطة بتقلبات درجات الحرارة الخاصة بالموقع بناءً على سلسلة زمنية يومية تضم 750 موقعًا من شبكة الأبحاث التعاونية متعددة المدن. قمنا بعد ذلك ببناء نموذج ميتا انحدار متعدد المتغيرات مع خمسة تنبؤات لتقدير التقلبات في درجات الحرارة الخاصة بالشبكة والارتباطات المرتبطة بالوفيات في جميع أنحاء العالم. أخيرًا، تم حساب النسبة المئوية للزيادة في معدل الوفيات ومعدل الوفيات الزائد لتحديد عبء الوفيات المرتبط بتقلب درجة الحرارة ولمواصلة استكشاف اتجاهه الزمني على مدى عقدين من الزمن. تم تحديد اتجاه متزايد في تقلب درجة الحرارة على المستوى العالمي من عام 2000 إلى عام 2019. على الصعيد العالمي، ارتبطت 1،753،392 حالة وفاة (95 ٪ CI 1،159،901-2،357،718) بتقلب درجة الحرارة سنويًا، وهو ما يمثل 3·4 ٪ (2·2-4·6) من جميع الوفيات. ولوحظ أن معظم آسيا وأستراليا ونيوزيلندا لديها نسبة مئوية أعلى من الزيادة في الوفيات من المتوسط العالمي. على الصعيد العالمي، زادت النسبة المئوية للزيادة في الوفيات بنحو 4.6٪(3.7-5.3) لكل عقد. حدثت أكبر زيادة في أستراليا ونيوزيلندا (7·3 ٪، 95 ٪ CI 4·3-10·4)، تليها أوروبا (4· 4 ٪، 2·2-5·6) وأفريقيا (3·3، 1 · 9-4·6). على الصعيد العالمي، ارتبط عبء الوفيات الكبير بتقلب درجة الحرارة، مما يدل على عدم التجانس الجغرافي والاتجاه الزمني المتزايد قليلاً. يمكن أن تساعد النتائج التي توصلنا إليها في زيادة الوعي العام وتحسين فهم الآثار الصحية لتقلب درجة الحرارة. مجلس البحوث الأسترالي، المجلس الوطني الأسترالي للبحوث الصحية والطبية.
CORE arrow_drop_down Brunel University London: Brunel University Research Archive (BURA)Article . 2022License: CC BYFull-Text: http://bura.brunel.ac.uk/handle/2438/24828Data sources: Bielefeld Academic Search Engine (BASE)University of Basel: edocArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARepositório Aberto da Universidade do PortoArticle . 2022Data sources: Repositório Aberto da Universidade do PortoRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesQueensland University of Technology: QUT ePrintsArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/s2542-5196(22)00073-0&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 15 citations 15 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
visibility 48visibility views 48 download downloads 94 Powered bymore_vert CORE arrow_drop_down Brunel University London: Brunel University Research Archive (BURA)Article . 2022License: CC BYFull-Text: http://bura.brunel.ac.uk/handle/2438/24828Data sources: Bielefeld Academic Search Engine (BASE)University of Basel: edocArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Recolector de Ciencia Abierta, RECOLECTAArticle . 2022 . Peer-reviewedData sources: Recolector de Ciencia Abierta, RECOLECTARepositório Aberto da Universidade do PortoArticle . 2022Data sources: Repositório Aberto da Universidade do PortoRepository of the Czech Academy of SciencesArticle . 2022Data sources: Repository of the Czech Academy of SciencesQueensland University of Technology: QUT ePrintsArticle . 2022Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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