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description Publicationkeyboard_double_arrow_right Article 2023 United Kingdom, China (People's Republic of), Germany, Germany, China (People's Republic of), United States, China (People's Republic of), United States, AustriaPublisher:Elsevier BV Funded by:WTWTZhang, Shihui; Zhang, Chi; Cai, Wenjia; Bai, Yuqi; Callaghan, Max; Chang, Nan; Chen, Bin; Chen, Huiqi; Cheng, Liangliang; Dai, Hancheng; Dai, Xin; Fan, Weicheng; Fang, Xiaoyi; Gao, Tong; Geng, Yang; Guan, Dabo; Hu, Yixin; Hua, Junyi; Huang, Cunrui; Huang, Hong; Huang, Jianbin; Huang, Xiaomeng; Ji, John S; Jiang, Qiaolei; Jiang, Xiaopeng; Kiesewetter, Gregor; Li, Tiantian; Liang, Lu; Lin, Borong; Lin, Hualiang; Liu, Huan; Liu, Qiyong; Liu, Xiaobo; Liu, Zhao; Liu, Zhu; Liu, Yufu; Lu, Bo; Lu, Chenxi; Luo, Zhenyu; Ma, Wei; Mi, Zhifu; Ren, Chao; Romanello, Marina; Shen, Jianxiang; Su, Jing; Sun, Yuze; Sun, Xinlu; Tang, Xu; Walawender, Maria; Wang, Can; Wang, Qing; Wang, Rui; Warnecke, Laura; Wei, Wangyu; Wen, Sanmei; Xie, Yang; Xiong, Hui; Xu, Bing; Yan, Yu; Yang, Xiu; Yao, Fanghong; Yu, Le; Yuan, Jiacan; Zeng, Yiping; Zhang, Jing; Zhang, Lu; Zhang, Rui; Zhang, Shangchen; Zhang, Shaohui; Zhao, Mengzhen; Zheng, Dashan; Zhou, Hao; Zhou, Jingbo; Zhou, Ziqiao; Luo, Yong; Gong, Peng;pmid: 37989307
With growing health risks from climate change and a trend of increasing carbon emissions from coal, it is time for China to take action. The rising frequency and severity of extreme weather events in China, such as record-high temperatures, low rainfall, severe droughts, and floods in many regions (along with the compound and ripple effects of these events on human health) have underlined the urgent need for health-centred climate action. The rebound in the country's coal consumption observed in 2022 reflected the great challenge faced by China in terms of its coal phase-down, over-riding the country's gains in reducing greenhouse gas (GHG) emissions. Timely and adequate responses will not only reduce or avoid the impacts of climate-related health hazards but can also protect essential infrastructures from disruptions caused by extreme weather. Health and climate change are inextricably linked, necessitating a high prioritisation of health in adaptation and mitigation efforts. The 2023 China report of the Lancet Countdown continues to track progress on health and climate change in China, while now also attributing the health risks of climate change to human activities and providing examples of feasible and effective climate solutions. This fourth iteration of the China report was spearheaded by the Lancet Countdown regional centre in Asia, based at Tsinghua University in Beijing, China. Progress is monitored across 28 indicators in five domains: from climate change impacts, exposures, and vulnerability (section 1); to the different elements of action, including adaption (section 2) and mitigation, and their health implications (section 3); to economics and finance (section 4); and public and political engagement (section 5). This report was compiled with the contribution of 76 experts from 26 institutions both within and outside of China. The impending global stocktake at the UN Framework Convention on Climate Change 28th Conference of the Parties (COP28), the UN initiative on early warning systems (which ...
IIASA DARE arrow_drop_down University of North Texas: UNT Digital LibraryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023Data 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/s2468-2667(23)00245-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 30 citations 30 popularity Average influence Top 10% impulse Top 10% Powered by BIP!
more_vert IIASA DARE arrow_drop_down University of North Texas: UNT Digital LibraryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023Data 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/s2468-2667(23)00245-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Yayi Zhang; Huanhuan Zhu; Jie Ban; Huaiyue Xu; Qing Wang; Tiantian Li;pmid: 34224997
The purpose of this work was to assess population vulnerability to heat-related health risks and its relationship with urbanization levels to provide essential information for the future development and policy-making for climate change adaptation. We constructed a heat vulnerability index (HVI), quantified the population heat vulnerability in each county across China by a principal component analysis (PCA) of multiple factors, and assessed urbanization levels in each county using multisource data. Then, the HVI was validated using the heat-attributable fraction (heat-AF) of nonaccidental mortality based on death monitoring data and meteorological data from 95 counties across China. The results showed that our HVI was significantly positively associated with the heat AF of nonaccidental mortality. A negative correlation was observed between the urbanization level and the HVI. The HVI was generally higher in less urbanized western China and lower in the more urbanized eastern regions. The baseline mortality occupies the top position in the importance ranking of the heat-vulnerability indicators at all three urbanization levels, but the other indicators, including the aging rate, agricultural population rate, education, ethnic structure, economic status, air conditioner ownership rate, and number of hospitals, ranked differently among different urbanization levels. This finding indicates that to reduce population heat vulnerability, the most important approach is to improve the health status of the whole population and reduce baseline mortality; additionally, regional-specific measures and emphasis should be adjusted reasonably along with the process of urbanization according to the characteristics and key factors of local heat vulnerability.
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/j.envint.2021.106742&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 31 citations 31 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert 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/j.envint.2021.106742&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu
description Publicationkeyboard_double_arrow_right Article 2023 United Kingdom, China (People's Republic of), Germany, Germany, China (People's Republic of), United States, China (People's Republic of), United States, AustriaPublisher:Elsevier BV Funded by:WTWTZhang, Shihui; Zhang, Chi; Cai, Wenjia; Bai, Yuqi; Callaghan, Max; Chang, Nan; Chen, Bin; Chen, Huiqi; Cheng, Liangliang; Dai, Hancheng; Dai, Xin; Fan, Weicheng; Fang, Xiaoyi; Gao, Tong; Geng, Yang; Guan, Dabo; Hu, Yixin; Hua, Junyi; Huang, Cunrui; Huang, Hong; Huang, Jianbin; Huang, Xiaomeng; Ji, John S; Jiang, Qiaolei; Jiang, Xiaopeng; Kiesewetter, Gregor; Li, Tiantian; Liang, Lu; Lin, Borong; Lin, Hualiang; Liu, Huan; Liu, Qiyong; Liu, Xiaobo; Liu, Zhao; Liu, Zhu; Liu, Yufu; Lu, Bo; Lu, Chenxi; Luo, Zhenyu; Ma, Wei; Mi, Zhifu; Ren, Chao; Romanello, Marina; Shen, Jianxiang; Su, Jing; Sun, Yuze; Sun, Xinlu; Tang, Xu; Walawender, Maria; Wang, Can; Wang, Qing; Wang, Rui; Warnecke, Laura; Wei, Wangyu; Wen, Sanmei; Xie, Yang; Xiong, Hui; Xu, Bing; Yan, Yu; Yang, Xiu; Yao, Fanghong; Yu, Le; Yuan, Jiacan; Zeng, Yiping; Zhang, Jing; Zhang, Lu; Zhang, Rui; Zhang, Shangchen; Zhang, Shaohui; Zhao, Mengzhen; Zheng, Dashan; Zhou, Hao; Zhou, Jingbo; Zhou, Ziqiao; Luo, Yong; Gong, Peng;pmid: 37989307
With growing health risks from climate change and a trend of increasing carbon emissions from coal, it is time for China to take action. The rising frequency and severity of extreme weather events in China, such as record-high temperatures, low rainfall, severe droughts, and floods in many regions (along with the compound and ripple effects of these events on human health) have underlined the urgent need for health-centred climate action. The rebound in the country's coal consumption observed in 2022 reflected the great challenge faced by China in terms of its coal phase-down, over-riding the country's gains in reducing greenhouse gas (GHG) emissions. Timely and adequate responses will not only reduce or avoid the impacts of climate-related health hazards but can also protect essential infrastructures from disruptions caused by extreme weather. Health and climate change are inextricably linked, necessitating a high prioritisation of health in adaptation and mitigation efforts. The 2023 China report of the Lancet Countdown continues to track progress on health and climate change in China, while now also attributing the health risks of climate change to human activities and providing examples of feasible and effective climate solutions. This fourth iteration of the China report was spearheaded by the Lancet Countdown regional centre in Asia, based at Tsinghua University in Beijing, China. Progress is monitored across 28 indicators in five domains: from climate change impacts, exposures, and vulnerability (section 1); to the different elements of action, including adaption (section 2) and mitigation, and their health implications (section 3); to economics and finance (section 4); and public and political engagement (section 5). This report was compiled with the contribution of 76 experts from 26 institutions both within and outside of China. The impending global stocktake at the UN Framework Convention on Climate Change 28th Conference of the Parties (COP28), the UN initiative on early warning systems (which ...
IIASA DARE arrow_drop_down University of North Texas: UNT Digital LibraryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023Data 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/s2468-2667(23)00245-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 30 citations 30 popularity Average influence Top 10% impulse Top 10% Powered by BIP!
more_vert IIASA DARE arrow_drop_down University of North Texas: UNT Digital LibraryArticle . 2023Data sources: Bielefeld Academic Search Engine (BASE)Publication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2023Data 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/s2468-2667(23)00245-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2021Publisher:Elsevier BV Yayi Zhang; Huanhuan Zhu; Jie Ban; Huaiyue Xu; Qing Wang; Tiantian Li;pmid: 34224997
The purpose of this work was to assess population vulnerability to heat-related health risks and its relationship with urbanization levels to provide essential information for the future development and policy-making for climate change adaptation. We constructed a heat vulnerability index (HVI), quantified the population heat vulnerability in each county across China by a principal component analysis (PCA) of multiple factors, and assessed urbanization levels in each county using multisource data. Then, the HVI was validated using the heat-attributable fraction (heat-AF) of nonaccidental mortality based on death monitoring data and meteorological data from 95 counties across China. The results showed that our HVI was significantly positively associated with the heat AF of nonaccidental mortality. A negative correlation was observed between the urbanization level and the HVI. The HVI was generally higher in less urbanized western China and lower in the more urbanized eastern regions. The baseline mortality occupies the top position in the importance ranking of the heat-vulnerability indicators at all three urbanization levels, but the other indicators, including the aging rate, agricultural population rate, education, ethnic structure, economic status, air conditioner ownership rate, and number of hospitals, ranked differently among different urbanization levels. This finding indicates that to reduce population heat vulnerability, the most important approach is to improve the health status of the whole population and reduce baseline mortality; additionally, regional-specific measures and emphasis should be adjusted reasonably along with the process of urbanization according to the characteristics and key factors of local heat vulnerability.
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/j.envint.2021.106742&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 31 citations 31 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert 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/j.envint.2021.106742&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu