1
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Cao Y, Wu X, Han W, An J. Visual analysis of global air pollution impact research: a bibliometric review (1996-2022). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:40383-40418. [PMID: 37452246 DOI: 10.1007/s11356-023-28468-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 06/23/2023] [Indexed: 07/18/2023]
Abstract
The impact of air pollution is one of the hotspots attracting continuous scholarly attention, but the comprehensive statistical and visual analysis reviews are few. Employing the method of bibliometric analysis, this paper took the relevant literature from 1996 to April 2022 on the Web of Science as the research object. Through the methods of keyword co-occurrence analysis and burst analysis, the spatiotemporal evolution trend, cooperation network, outstanding scholars, knowledge base, and research focus of air pollution impact research are visually presented. Via constructing a common word matrix of high-frequency words, clustering analysis is used to aggregate high-frequency keywords into 24 clusters. By the strategic coordinate analysis method, the relationships within and between clusters were revealed. The main findings include (1) research on the impact of air pollution mainly focusing on human health; (2) the six keywords with the highest centrality are California, hydrocarbons, dioxide, generation, Asia, and diesel; (3) these 11 clusters may be developed into future research hotspots: particulate matter, nitrogen oxides, mortality, ozone, pollution, air quality, asthma, children, epidemiology, aerosols, and polycyclic aromatic hydrocarbons; and (4) seven topics are research hot: daily mortality, long-term exposure, coronary heart disease, concentration, North China plain, traffic-related air pollution, and air pollution.
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Affiliation(s)
- Yanli Cao
- School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China
| | - Xianhua Wu
- School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China.
- Collaborative Innovation Center On Climate and Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing, 210044, China.
| | - Wenjun Han
- School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China
| | - Jiaqi An
- School of Economics and Management, Shanghai Maritime University, Shanghai, 201306, China
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2
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Bulto TW, Chebo AK, Werku BC, Debele KN, Kloos H. Visualization and Analysis of Urban Air Quality Management Using Bibliometric Techniques and Social Network Analysis for the Period 1975 to 2022: A Review. ENVIRONMENTAL HEALTH INSIGHTS 2024; 18:11786302241252733. [PMID: 38756540 PMCID: PMC11097730 DOI: 10.1177/11786302241252733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 04/18/2024] [Indexed: 05/18/2024]
Abstract
This study uses bibliometric techniques and social network analysis to evaluate 318 publications on air quality management in cities worldwide. The relevant data were retrieved from the Scopus database and analyzed using the VOSviewer 1.6.7 tools. The analysis included the number of publications, citation analyses, research study area analyses, and the most common keywords from 1975 to November 6, 2022. In addition, based on the results of the cluster analysis, we developed co-occurrence networks that enable a more specific keyword classification. The visualization showed the existing relationships between key terms, research study areas, and publications dealing with air quality management in cities. China, the United States, and the United Kingdom led in terms of the number of scientific publications and overall strength of connections during the study period. The most productive journal was Science of the Total Environment, followed by Atmospheric Environment, and the International Journal of Environmental Research and Public Health. Several limitations of the study are described and recommendations are made for future studies to increase the scope of studies and facilitate urban air quality management.
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Affiliation(s)
- Tadesse Weyuma Bulto
- Department of Environmental Management, Kotebe University of Education, Addis Ababa, Ethiopia
| | - Abdella Kosa Chebo
- Department of Management, Kotebe University Education, Addis Ababa, Ethiopia
- Department of Business Management, University of Johannesburg, South Africa
| | | | - Korsa Negese Debele
- Department of Biology, Kotebe University of Education, Addis Ababa, Ethiopia
| | - Helmut Kloos
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
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3
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Dou Y, Zhang L, Wang J, Xue Y, Zhou Y, Liu Y, Zhang L, Shi R. Trends and Future Research in Skeletal Muscle Tissue Engineering in the Past Decade (2012-2022). Tissue Eng Part C Methods 2024; 30:130-141. [PMID: 38265015 DOI: 10.1089/ten.tec.2023.0216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024] Open
Abstract
To learn about advances in skeletal muscle tissue engineering (SMTE) in recent years, we used VOSviewer and Citespace software to quantitatively analyze and visualize relevant literature in the Web of Science database during the period 2012-2022. By mapping high-frequency keyword relationship networks, keyword time zones, and journal article cocitations, we clarified the areas of great interest, evolutionary paths, and developmental trends in research on SMTE. We conducted an in-depth analysis of highly cited and representative articles at various stages to summarize the mainstream research areas of great interest in SMTE and discussed the future development and challenges in this field, intending to provide a reference for the clinical treatment of skeletal muscle injury repair. We found that a collaborative network of authors has formed in this field; the journals publishing SMTE articles belong to the fields of biomaterials and tissue engineering, and open-access journals have played a key role in the promotion of the development of SMTE; and in the past decade, there has been rapid progress in SMTE research in terms of both depth and breadth. Impact statement Compared with the literature review method, bibliometrics can provide a comprehensive knowledge of a knowledge area based on a huge amount of literature. In this article, based on the Web of Science database, CiteSpace, and Vosviewer visualization tools were used to measure and analyze the literature reports in the field of skeletal muscle tissue engineering (SMTE). The research hotspots and cutting-edge information on SMTE were mined in terms of the number of publications, the number of citations, the keywords, the authors, and the publishing institutions to understand the current status of the research on SMTE in the world, to provide a reference for related researchers, engineering research in the field of SMTE, to comprehensively understand the current status of global research in the field of SMTE, and to provide a reference for related researchers.
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Affiliation(s)
- Yichun Dou
- College of Material Science & Engineering, Beijing University of Chemical Technology, Beijing, P.R. China
- Beijing Laboratory of Biomedical Materials, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, P.R. China
| | - Ling Zhang
- College of Material Science & Engineering, Beijing University of Chemical Technology, Beijing, P.R. China
- Beijing Laboratory of Biomedical Materials, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, P.R. China
| | - Jiaqi Wang
- College of Material Science & Engineering, Beijing University of Chemical Technology, Beijing, P.R. China
- Beijing Laboratory of Biomedical Materials, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, P.R. China
| | - Yun Xue
- National Center for Orthopaedics, Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Beijing, P.R. China
| | - You Zhou
- National Center for Orthopaedics, Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Beijing, P.R. China
| | - Yajun Liu
- National Center for Orthopaedics, Beijing Jishuitan Hospital, Institute of Traumatology and Orthopaedics, Beijing, P.R. China
| | - Liqun Zhang
- College of Material Science & Engineering, Beijing University of Chemical Technology, Beijing, P.R. China
- Beijing Laboratory of Biomedical Materials, State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, P.R. China
| | - Rui Shi
- National Center for Orthopaedics, Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Beijing, P.R. China
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4
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Hao Q, Wang L, Liu G, Ren Z, Wu Y, Yu Z, Yu J. Exploring the construction of urban artificial light ecology: a systematic review and the future prospects of light pollution. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:101963-101988. [PMID: 37667125 DOI: 10.1007/s11356-023-29462-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 08/18/2023] [Indexed: 09/06/2023]
Abstract
Artificial light at night (ALAN) is rapidly growing and expanding globally, posing threats to ecological safety. Urban light pollution prevention and control are moving toward urban artificial light ecology construction. To clarify the need for light ecology construction, this work analyzes 1690 articles on ALAN and light pollution and 604 on ecological light pollution from 1998 to 2022. The development process and thematic evolution of light pollution research are combed through, the historical inevitability of artificial light ecology construction is excavated, and the ecological risks of light pollution to typical animals are summarized. The results show that international research has advanced to the ecological risk factors of light pollution and the related stress mechanisms, the quantification, prediction, and pre-warning by multiple technical means, and the translation of light pollution research outcomes to prevention and control practices. While Chinese scholars have begun to pay attention to the ecological risks of light pollution, the evaluation indicators and prevention and control measures remain primarily based on human-centered needs. Therefore, a more integrated demand-side framework of light ecology construction that comprehensively considers multiple risk receptors is further constructed. Given the development trend in China, we clarified the consistency of the ecological effect of landscape lighting with landsense ecology and the consistency of light ecological risk prevention and control with the concept of One Health. Ultimately, landsense light ecology is proposed based on the "One Health" concept. This work is expected to provide a reference and inspiration for future construction of urban artificial light ecology.
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Affiliation(s)
- Qingli Hao
- School of Architecture, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Building Physical Environment and Ecological Technology, Tianjin, 300072, China
| | - Lixiong Wang
- School of Architecture, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Building Physical Environment and Ecological Technology, Tianjin, 300072, China
| | - Gang Liu
- School of Architecture, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Building Physical Environment and Ecological Technology, Tianjin, 300072, China
| | - Zhuofei Ren
- School of Architecture, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Building Physical Environment and Ecological Technology, Tianjin, 300072, China
| | - Yuting Wu
- School of Architecture, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Building Physical Environment and Ecological Technology, Tianjin, 300072, China
| | - Zejun Yu
- School of Architecture, Tianjin University, Tianjin, 300072, China
- Tianjin Key Laboratory of Building Physical Environment and Ecological Technology, Tianjin, 300072, China
| | - Juan Yu
- School of Architecture, Tianjin University, Tianjin, 300072, China.
- Tianjin Key Laboratory of Building Physical Environment and Ecological Technology, Tianjin, 300072, China.
- School of Civil Engineering and Architecture, University of Jinan, Jinan, 250022, China.
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Hu J, Yu L, Yang Z, Qiu J, Li J, Shen P, Lin H, Shui L, Tang M, Jin M, Chen K, Wang J. Long-Term Exposure to PM 2.5 and Mortality: A Cohort Study in China. TOXICS 2023; 11:727. [PMID: 37755738 PMCID: PMC10534778 DOI: 10.3390/toxics11090727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 08/17/2023] [Accepted: 08/19/2023] [Indexed: 09/28/2023]
Abstract
We investigated the association of long-term exposure to atmospheric PM2.5 with non-accidental and cause-specific mortality in Yinzhou, China. From July 2015 to January 2018, a total of 29,564 individuals aged ≥ 40 years in Yinzhou were recruited for a prospective cohort study. We used the Cox proportional-hazards model to analyze the relationship of the 2-year average concentration of PM2.5 prior to the baseline with non-accidental and cause-specific mortality. The median PM2.5 concentration was 36.51 μg/m3 (range: 25.57-45.40 μg/m3). In model 4, the hazard ratios per 10 μg/m3 increment in PM2.5 were 1.25 (95%CI: 1.04-1.50) for non-accidental mortality and 1.38 (95%CI:1.02-1.86) for cardiovascular disease mortality. We observed no associations between PM2.5 and deaths from respiratory disease or cancer. In the subgroup analysis, interactions were observed between PM2.5 and age, as well as preventive measures on hazy days. The observed association between long-term exposure to atmospheric PM2.5 at a relatively moderate concentration and the risk of non-accidental and cardiovascular disease mortality among middle-aged and elderly Chinese adults could provide evidence for government decision-makers to revise environmental policies towards a more stringent standard.
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Affiliation(s)
- Jingjing Hu
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Luhua Yu
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Zongming Yang
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Jie Qiu
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
| | - Jing Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610065, China
| | - Peng Shen
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Hongbo Lin
- Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China
| | - Liming Shui
- Yinzhou District Health Bureau of Ningbo, Ningbo 315040, China
| | - Mengling Tang
- Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Mingjuan Jin
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Kun Chen
- Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Jianbing Wang
- Department of Public Health, and Department of Endocrinology of the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children’s Health, Hangzhou 310058, China
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6
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Leão MLP, Zhang L, da Silva Júnior FMR. Effect of particulate matter (PM 2.5 and PM 10) on health indicators: climate change scenarios in a Brazilian metropolis. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:2229-2240. [PMID: 35870077 PMCID: PMC9308372 DOI: 10.1007/s10653-022-01331-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 06/27/2022] [Indexed: 05/23/2023]
Abstract
Recife is recognized as the 16th most vulnerable city to climate change in the world. In addition, the city has levels of air pollutants above the new limits proposed by the World Health Organization (WHO) in 2021. In this sense, the present study had two main objectives: (1) To evaluate the health (and economic) benefits related to the reduction in mean annual concentrations of PM10 and PM2.5 considering the new limits recommended by the WHO: 15 µg/m3 (PM10) and 5 µg/m3 (PM2.5) and (2) To simulate the behavior of these pollutants in scenarios with increased temperature (2 and 4 °C) using machine learning. The averages of PM2.5 and PM10 were above the limits recommended by the WHO. The scenario simulating the reduction in these pollutants below the new WHO limits would avoid more than 130 deaths and 84 hospital admissions for respiratory or cardiovascular problems. This represents a gain of 15.2 months in life expectancy and a cost of almost 160 million dollars. Regarding the simulated temperature increase, the most conservative (+ 2 °C) and most drastic (+ 4 °C) scenarios predict an increase of approximately 6.5 and 15%, respectively, in the concentrations of PM2.5 and PM10, with a progressive increase in deaths attributed to air pollution. The study shows that the increase in temperature will have impacts on air particulate matter and health outcomes. Climate change mitigation and pollution control policies must be implemented for meeting new WHO air quality standards which may have health benefits.
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Affiliation(s)
- Marcos Lorran Paranhos Leão
- Faculdade de Ciências Médicas (FCM) e Hospital, Universitário Oswaldo Cruz (HUOC) da Universidade de Pernambuco (UPE), Campus Santo Amaro, Recife. Rua Arnóbio Marques, 310 - Santo Amaro, Recife, PE, CEP: 50100-130, Brazil
| | - Linjie Zhang
- Universidade Federal do Rio Grande, Rua Visconde de Paranaguá 102 Centro, Rio Grande, RS, CEP: 96203-900, Brazil
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Shi Y, Zhao Y, Li H, Liu H, Wang L, Liu J, Chen H, Yang B, Shan H, Yuan S, Gao W, Wang G, Han C. Association between exposure to ambient PM 2.5 and the health status in the mobile population from 338 cities in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:63716-63726. [PMID: 37058237 DOI: 10.1007/s11356-023-26453-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 03/10/2023] [Indexed: 04/15/2023]
Abstract
There are limited studies investigating the relationship between exposure to PM2.5 and the health status among the mobile population. A cross-sectional analysis was performed in a nationally representative sample (2017 China Migrants Dynamic Survey data) consisting of 169,469 mobile population. The ordered logistic regression model was used to examine the association between PM2.5 and the health status in mobile population. Stratified analyses were performed to identify whether the association varied across gender, age group, and regions in China. Overall, every 10 μg/m3 increment in annual average PM2.5 was associated with increased risk of poor self-reported health (OR = 1.021, 95% CI: 1.012-1.030). Mobile population aged 31-49 years and living in the central region suffers the highest PM2.5-associated health risk (OR = 1.030, 95% CI: 1.019-1.042; OR = 1.095, 95% CI: 1.075-1.116). Our study suggests that PM2.5 exposure was associated with an increased risk of poor self-reported health in mobile population, particularly among the population aged 31-49 years and people living in the central region of China. Policymakers should pay more attention to the vulnerable mobile population to tackle the health burden of ambient air pollution.
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Affiliation(s)
- Yukun Shi
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Yang Zhao
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
- The George Institute for Global Health, Beijing, PR China
| | - Hongyu Li
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Haiyun Liu
- Department of Medicine, Shandong College of Traditional Chinese Medicine, Yantai, 264199, PR China
| | - Luyang Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Junyan Liu
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Haotian Chen
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Baoshun Yang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Haifeng Shan
- Zibo Mental Health Center, Zibo, 255100, Shandong, PR China
| | - Shijia Yuan
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Wenhui Gao
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Guangcheng Wang
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China
| | - Chunlei Han
- School of Public Health and Management, Binzhou Medical University, Yantai, 264003, Shandong, PR China.
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8
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Wang H, Luo Z, Yu R, Yan C, Zhou S, Xing B. Tire wear particles: Trends from bibliometric analysis, environmental distribution with meta-analysis, and implications. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 322:121150. [PMID: 36720340 DOI: 10.1016/j.envpol.2023.121150] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 12/13/2022] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Tire wear particles (TWPs), as one of pristine microplastics and non-exhaust emission pollutants, have received extensive attention from scholars worldwide in recent years. In the context of the increasing number of related research results, this study evaluated the current status of TWPs research based on bibliometric analysis and meta-analysis and then discussed in-depth the environmental implications involving transport, transformation of released additives in potential and combined pollution with other microplastics in TWPs researches. Results showed that the regional layout of TWPs research was mainly concentrated in Europe and North America, but with specific countries of the United States, Germany, China, the United Kingdom, and Sweden. Thus, Asia and Africa should timely carry out related research on TWPs considering their large vehicle ownerships. In addition, keyword co-occurrence analysis based on CiteSpace showed that biotoxicity, environmental distribution and human health risks are the current research hotspots. Furthermore, the content of TWPs varied greatly by country and environmental media according to the meta-analysis. It is warranted to be urgently investigated on the distribution, quantitative analysis, migration, additives transformation with toxic effects and control measures of TWPs under the influence of various complex factors such as energy innovation and smart driving. The obtained findings can help understand the developing status of TWPs and then promoting their related investigations in future.
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Affiliation(s)
- Haiming Wang
- College of Chemical Engineering, Huaqiao University, Xiamen, 361021, China; Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Zhuanxi Luo
- College of Chemical Engineering, Huaqiao University, Xiamen, 361021, China.
| | - Ruilian Yu
- College of Chemical Engineering, Huaqiao University, Xiamen, 361021, China
| | - Changzhou Yan
- Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
| | - Shufeng Zhou
- College of Chemical Engineering, Huaqiao University, Xiamen, 361021, China
| | - Baoshan Xing
- Stockbridge School of Agriculture, University of Massachusetts, Amherst, MA, 01003, USA
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9
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Zhao X, Xu H, Li Y, Liu Y, Guo C, Li Y. Status and frontier analysis of indoor PM 2.5-related health effects: a bibliometric analysis. REVIEWS ON ENVIRONMENTAL HEALTH 2023; 0:reveh-2022-0228. [PMID: 36976918 DOI: 10.1515/reveh-2022-0228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
Epidemiological data indicate atmospheric particulate matter, especially fine particulate matter (PM2.5), has many negative effects on human health. Of note, people spend about 90% of their time indoors. More importantly, according to the World Health Organization (WHO) statistics, indoor air pollution causes nearly 1.6 million deaths each year, and it is considered as one of the major health risk factors. In order to obtain a deeper understanding of the harmful effects of indoor PM2.5 on human health, we used bibliometric software to summarize articles in this field. In conclusion, since 2000, the annual publication volume has increased year by year. America topped the list for the number of articles, and Professor Petros Koutrakis and Harvard University were the author and institution with the most published in this research area, respectively. Over the past decade, scholars gradually paid attention to molecular mechanisms, therefore, the toxicity can be better explored. Particularly, apart from timely intervention and treatment for adverse consequences, it is necessary to effectively reduce indoor PM2.5 through technologies. In addition, the trend and keywords analysis are favorable ways to find out future research hotspots. Hopefully, various countries and regions strengthen academic cooperation and integration of multi-disciplinary.
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Affiliation(s)
- Xinying Zhao
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Hailin Xu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Yan Li
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China
| | - Yufan Liu
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
| | - Caixia Guo
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
- Department of Occupational Health and Environmental Health, School of Public Health, Capital Medical University, Beijing, China
| | - Yanbo Li
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China
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10
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Gong J, Ding L, Lu Y, Qiong Zhang, Yun Li, Beidi Diao. Scientometric and multidimensional contents analysis of PM 2.5 concentration prediction. Heliyon 2023; 9:e14526. [PMID: 36950620 PMCID: PMC10025157 DOI: 10.1016/j.heliyon.2023.e14526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 03/13/2023] Open
Abstract
The foundation for the environmental department to take suitable measures and make a significant contribution towards improving air quality is the precise and dependable prediction of PM2.5 concentration. It is essential to review the development process and hotspots of PM2.5 concentration prediction studies over the past 20 years (2000-2021) comprehensively and quantitatively. This study used detailed bibliometric methods and CiteSpace software to visually analyze the PM2.5 pollution level. The outcomes found that the prediction research phases of PM2.5 can be broadly divided into three phases and enter the rapid growth phase after 2017. Five categories of keywords are clustered, and the forecasting data and forecasting methods are typical cluster representatives. Then, the construction and processing of PM2.5 concentration prediction datasets, the prediction methods and technical processes, and the determination of the prediction spatial-temporal scales are the main content of the analysis. In the future, it is necessary to concentrate on multi-source data fusion for PM2.5 concentration prediction at multiple spatial-temporal scales and focus on technology integration and innovative applications in forecasting models, especially the optimal use of deep machine learning methods to improve prediction accuracy and practical application conversion.
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Affiliation(s)
- Jintao Gong
- The Library, Ningbo Polytechnic, Ningbo 315800, China
| | - Lei Ding
- Research Center of Industrial Economy Around Hangzhou Bay, Ningbo Polytechnic, Ningbo 315800, China
- Corresponding author. Industrial Economic Research Center Around Hangzhou Bay, Ningbo Polytechnic; 1069 Xinda Road, 315800, Ningbo, China. ;
| | - Yingyu Lu
- Research Center of Industrial Economy Around Hangzhou Bay, Ningbo Polytechnic, Ningbo 315800, China
| | - Qiong Zhang
- Research Center of Industrial Economy Around Hangzhou Bay, Ningbo Polytechnic, Ningbo 315800, China
| | - Yun Li
- Research Center of Industrial Economy Around Hangzhou Bay, Ningbo Polytechnic, Ningbo 315800, China
| | - Beidi Diao
- School of Economics and Management, China University of Mining and Technology, No.1 Daxue Road, 221116, Xuzhou, China
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Liu D, Cheng K, Huang K, Ding H, Xu T, Chen Z, Sun Y. Visualization and Analysis of Air Pollution and Human Health Based on Cluster Analysis: A Bibliometric Review from 2001 to 2021. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12723. [PMID: 36232020 PMCID: PMC9566718 DOI: 10.3390/ijerph191912723] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Revised: 09/27/2022] [Accepted: 09/30/2022] [Indexed: 06/16/2023]
Abstract
Bibliometric techniques and social network analysis are employed in this study to evaluate 14,955 papers on air pollution and health that were published from 2001 to 2021. To track the research hotspots, the principle of machine learning is applied in this study to divide 10,212 records of keywords into 96 clusters through OmniViz software. Our findings highlight strong research interests and the practical need to control air pollution to improve human health, as evidenced by an annual growth rate of over 15.8% in the related publications. The cluster analysis showed that clusters C22 (exposure, model, mortality) and C8 (health, environment, risk) are the most popular topics in this field of research. Furthermore, we develop co-occurrence networks based on the cluster analysis results in which a more specific keyword classification was obtained. These key areas include: "Air pollutant source", "Exposure-Response relationship", "Public & Occupational Health", and so on. Future research hotspots are analyzed through characteristics of the cluster groups, including the advancement of health risk assessment techniques, an interdisciplinary approach to quantifying human exposure to air pollution, and strategies in health risk assessment.
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Affiliation(s)
- Diyi Liu
- Zhou Enlai School of Government, Nankai University, Tianjin 300071, China
| | - Kun Cheng
- College of Management and Economy, Tianjin University, Tianjin 300072, China
| | - Kevin Huang
- School of Accounting, Economics and Finance, University of Wollongong, Sydney, NSW 2522, Australia
| | - Hui Ding
- School of Marxism, Hangzhou Medical College, Hangzhou 310053, China
| | - Tiantong Xu
- School of E-Business and Logistics, Beijing Technology and Business University, Beijing 100048, China
| | - Zhenni Chen
- School of Economics and Finance, Xi’an Jiaotong University, Xi’an 710061, China
| | - Yanqi Sun
- School of Economics and Management, Beijing Institute of Petrochemical Technology, Beijing 102617, China
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Qiu Y, Liao K, Zou Y, Huang G. A Bibliometric Analysis on Research Regarding Residential Segregation and Health Based on CiteSpace. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:10069. [PMID: 36011701 PMCID: PMC9408714 DOI: 10.3390/ijerph191610069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/10/2022] [Accepted: 08/12/2022] [Indexed: 06/15/2023]
Abstract
Considerable scholarly attention has been directed to the adverse health effects caused by residential segregation. We aimed to visualize the state-of-the-art residential segregation and health research to provide a reference for follow-up studies. Employing the CiteSpace software, we uncovered popular themes, research hotspots, and frontiers based on an analysis of 1211 English-language publications, including articles and reviews retrieved from the Web of Science Core Collection database from 1998 to 2022. The results revealed: (1) The Social Science & Medicine journal has published the most studies. Roland J. Thorpe, Thomas A. LaVeist, Darrell J. Gaskin, David R. Williams, and others are the leading scholars in residential segregation and health research. The University of Michigan, Columbia University, Harvard University, the Johns Hopkins School of Public Health, and the University of North Carolina play the most important role in current research. The U.S. is the main publishing country with significant academic influence. (2) Structural racism, COVID-19, mortality, multilevel modelling, and environmental justice are the top five topic clusters. (3) The research frontier of residential segregation and health has significantly shifted from focusing on community, poverty, infant mortality, and social class to residential environmental exposure, structural racism, and health care. We recommend strengthening comparative research on the health-related effects of residential segregation on minority groups in different socio-economic and cultural contexts.
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Affiliation(s)
- Yanrong Qiu
- School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510060, China
| | - Kaihuai Liao
- School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510060, China
| | - Yanting Zou
- School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510060, China
| | - Gengzhi Huang
- School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
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