Potentially useful elements (Al, Fe, Ga, Ge, U) in coal gangue: a case study in Weibei coal mining area, Shaanxi Province, northwestern China
In: Environmental science and pollution research: ESPR, Band 25, Heft 12, S. 11893-11904
ISSN: 1614-7499
16 Ergebnisse
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In: Environmental science and pollution research: ESPR, Band 25, Heft 12, S. 11893-11904
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 29, Heft 27, S. 40567-40584
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 29, Heft 35, S. 53319-53319
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 29, Heft 35, S. 53306-53318
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 24, Heft 32, S. 25291-25308
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 24, Heft 5, S. 4457-4468
ISSN: 1614-7499
In: Reviews on environmental health, Band 0, Heft 0
ISSN: 2191-0308
Abstract
Social determinants of health (SDoH) play an essential role in the risk of developing diseases or medical disorders. Conducting a comprehensive retrospective analysis is necessary to better understand the development status, research hotspots, and development trends of SDoH research. The bibliometric analysis method is applied based on CiteSpace and VOS viewer to quantitatively analyze and visually review the articles published in the field of SDoH from Web of Science core databases from 2000 to 2021. We quantitatively analyzed the author, institution, and other basic information to probe the development of SDoH and then visually investigated the high-frequency keywords, burst keywords, and keyword clusters to understand better the evolution of hotspots and development directions of SDoH during the study period. Health inequality is the main keyword of the SDoH field, and disease burden is expected to maintain a hotspot in recent years. Further, research methodologies could be improved to explain how upstream SDoH influences human lived experience. Additionally, the SDoH field needs to utilize the horizons of the multidisciplinary approach to consider and discuss sustainable development issues to offer implications for health improvement policy and interventions.
In: Environmental science and pollution research: ESPR, Band 21, Heft 12, S. 7296-7306
ISSN: 1614-7499
Since spring 2020, the human world seems to be exceptionally silent due to mobility reduction caused by the COVID-19 pandemic. To better measure the real-time decline of human mobility and changes in socio-economic activities in a timely manner, we constructed a silent index (SI) based on Google's mobility data. We systematically investigated the relations between SI, new COVID-19 cases, government policy, and the level of economic development. Results showed a drastic impact of the COVID-19 pandemic on increasing SI. The impact of COVID-19 on human mobility varied significantly by country and place. Bi-directional dynamic relationships between SI and the new COVID-19 cases were detected, with a lagging period of one to two weeks. The travel restriction and social policies could immediately affect SI in one week; however, could not effectively sustain in the long run. SI may reflect the disturbing impact of disasters or catastrophic events on the activities related to the global or national economy. Underdeveloped countries are more affected by the COVID-19 pandemic.
BASE
Since spring 2020, the human world seems to be exceptionally silent due to mobility reduction caused by the COVID-19 pandemic. To better measure the real-time decline of human mobility and changes in socio-economic activities in a timely manner, we constructed a silent index (SI) based on Google's mobility data. We systematically investigated the relations between SI, new COVID-19 cases, government policy, and the level of economic development. Results showed a drastic impact of the COVID-19 pandemic on increasing SI. The impact of COVID-19 on human mobility varied significantly by country and place. Bi-directional dynamic relationships between SI and the new COVID-19 cases were detected, with a lagging period of one to two weeks. The travel restriction and social policies could immediately affect SI in one week; however, could not effectively sustain in the long run. SI may reflect the disturbing impact of disasters or catastrophic events on the activities related to the global or national economy. Underdeveloped countries are more affected by the COVID-19 pandemic.
BASE
Since spring 2020, the human world seems to be exceptionally silent due to mobility reduction caused by the COVID-19 pandemic. To better measure the real-time decline of human mobility and changes in socio-economic activities in a timely manner, we constructed a silent index (SI) based on Google's mobility data. We systematically investigated the relations between SI, new COVID-19 cases, government policy, and the level of economic development. Results showed a drastic impact of the COVID-19 pandemic on increasing SI. The impact of COVID-19 on human mobility varied significantly by country and place. Bi-directional dynamic relationships between SI and the new COVID-19 cases were detected, with a lagging period of one to two weeks. The travel restriction and social policies could immediately affect SI in one week; however, could not effectively sustain in the long run. SI may reflect the disturbing impact of disasters or catastrophic events on the activities related to the global or national economy. Underdeveloped countries are more affected by the COVID-19 pandemic.
BASE
Since spring 2020, the human world seems to be exceptionally silent due to mobility reduction caused by the COVID-19 pandemic. To better measure the real-time decline of human mobility and changes in socio-economic activities in a timely manner, we constructed a silent index (SI) based on Google's mobility data. We systematically investigated the relations between SI, new COVID-19 cases, government policy, and the level of economic development. Results showed a drastic impact of the COVID-19 pandemic on increasing SI. The impact of COVID-19 on human mobility varied significantly by country and place. Bi-directional dynamic relationships between SI and the new COVID-19 cases were detected, with a lagging period of one to two weeks. The travel restriction and social policies could immediately affect SI in one week; however, could not effectively sustain in the long run. SI may reflect the disturbing impact of disasters or catastrophic events on the activities related to the global or national economy. Underdeveloped countries are more affected by the COVID-19 pandemic.
BASE
In: Environmental science and pollution research: ESPR, Band 24, Heft 8, S. 7679-7692
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 27, Heft 3, S. 2945-2954
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 23, Heft 21, S. 21833-21845
ISSN: 1614-7499