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Kara Y, Şevik SEY, Toros H. Comprehensive analysis of air pollution and the influence of meteorological factors: a case study of adiyaman province. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:525. [PMID: 38720137 DOI: 10.1007/s10661-024-12649-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 04/19/2024] [Indexed: 06/21/2024]
Abstract
Adıyaman, a city recently affected by an earthquake, is facing significant air pollution challenges due to both anthropogenic activities and natural events. The sources of air pollution have been investigated using meteorological variables. Elevated southerly winds, especially prominent in spring and autumn, significantly contribute to dust transport, leading to a decline in local air quality as detected by the HYSPLIT model. Furthermore, using Suomi-NPP Thermal Anomaly satellite product, it is detected and analyzed for crop burning activities. Agricultural practices, including stubble burning, contribute to the exacerbation of PM10 pollution during the summer months, particularly when coupled with winds from all directions except the north. In fall and winter months, heating is identified as the primary cause of pollution. The city center located north of the station is the dominant source of pollution throughout all seasons. The study established the connection between air pollutants and meteorological variables. Furthermore, the Spearman correlation coefficients reveal associations between PM10 and SO2, indicating moderate positive correlations under pressure conditions (r = 0.35, 0.52). Conversely, a negative correlation is observed with windspeed (r = -0.35, -0.50), and temperature also exhibits a negative correlation (r = -0.39, -0.54). During atmospheric conditions with high pressure, PM10 and SO2 concentrations are respectively 41.2% and 117.2% higher. Furthermore, pollutant concentration levels are 29.2% and 53.3% higher on days with low winds. Last, practical strategies for mitigating air pollution have been thoroughly discussed and proposed. It is imperative that decision-makers engaged in city planning and renovation give careful consideration to the profound impact of air pollution on both public health and the environment, particularly in the aftermath of a recent major earthquake.
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Affiliation(s)
- Yiğitalp Kara
- Department of Meteorological Engineering, Samsun University, 55420, Samsun, Türkiye.
- Department of Meteorological Engineering, Istanbul Technical University, 34469, Istanbul, Türkiye.
| | - Sena Ecem Yakut Şevik
- Department of Meteorological Engineering, Istanbul Technical University, 34469, Istanbul, Türkiye
| | - Hüseyin Toros
- Department of Meteorological Engineering, Istanbul Technical University, 34469, Istanbul, Türkiye
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2
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Giri J, Raut S, Rimal B, Adhikari R, Joshi TP, Shah G. Impact of air pollution on human health in different geographical locations of Nepal. ENVIRONMENTAL RESEARCH 2023; 226:115669. [PMID: 36921789 DOI: 10.1016/j.envres.2023.115669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 03/06/2023] [Accepted: 03/09/2023] [Indexed: 06/18/2023]
Abstract
According to a recent survey, Nepal's urban air quality has been classified as one of the worst in the globe. A large portion of the country's population is subjected to health risks caused by air pollution. As Nepal has a wide variation in altitude coupled with socio-cultural and biological diversities, it is important to understand the different health hazards in the different geographical regions - Terai, Hills and Mountains. Constantly increasing physical infrastructures (such as transport vehicles, open burning of plastics and other fuels) are the main reasons for the escalating air pollution in the country. This study aims to critically review the current air pollution status in different geographical locations along with its impacts on public health in the country. It has been revealed that irrespective of geographic location, the air pollutants interfere with different human physiological systems related to respiration as well as cardiovascular, ophthalmic, and gastrointestinal functioning. Further, the research findings highlighting the influence of prolonged exposure of the population to the air pollution leading to the significant number of deaths have been presented. A notable rise in the number of hospitalized patients suffering from illnesses related to above mentioned pollution borne cases has been reported.
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Affiliation(s)
- Jyoti Giri
- Department of Chemistry, Tri-Chandra Multiple Campus, Tribhuvan University, Ghantaghar, Kathmandu, Nepal; Nepal Polymer Institute, P. O. Box 244115, Kathmandu, Nepal; Nepal Development Research Institute, Lalitpur, Kathmandu, Nepal.
| | - Sweccha Raut
- Central Department of Environmental Science, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Binita Rimal
- Central Department of Environmental Science, Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Rameshwar Adhikari
- Research Centre for Applied Science and Technology (RECAST), Tribhuvan University, Kirtipur, Kathmandu, Nepal
| | - Tista Prasai Joshi
- Nepal Academy of Science and Technology (NAST), Khumaltar, Lalitpur, Nepal
| | - Ganesh Shah
- Nepal Academy of Science and Technology (NAST), Khumaltar, Lalitpur, Nepal
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3
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Ahmad NA, Ismail NW, Sidique SFA, Mazlan NS. Air pollution, governance quality, and health outcomes: evidence from developing countries. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:41060-41072. [PMID: 36630041 DOI: 10.1007/s11356-023-25183-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 01/03/2023] [Indexed: 06/17/2023]
Abstract
While studies have demonstrated that air pollution can be catastrophic to the population's health, few empirical studies are found in the economic literature because a considerable proportion of the evidence comes from epidemiological studies. Because of the crucial role of governance in the health community, good governance has been a contentious issue in public sector management in recent years. Therefore, the aim of this study is to examine the effects of air pollution and the role of governance on health outcomes. This study employed the generalized method of moment (GMM) estimation techniques to analyse panel data for 72 developing countries from 2010 to 2017. The empirical results confirm that higher PM2.5 and CO2 levels have a detrimental influence on life expectancy and healthy life expectancy, whereas the role of governance has a positive impact on life expectancy and healthy life expectancy. Furthermore, the findings show governance quality plays a role in moderating the negative effect of PM2.5 on health outcomes. The ongoing rise in air pollution has had a significant impact on the health of developing countries. It appears that governance quality has improved health outcomes. The findings have important policy implications, such that strengthening governance can reduce air pollution emissions in developing countries. However, to reduce the health effects of air pollution, developing countries must implement effective environmental development policies and track the implementation and enforcement of such policies.
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Affiliation(s)
- Nor Asma Ahmad
- Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kampus Kota, Pengkalan Chepa, 16100, Kota Bharu, Kelantan, Malaysia.
| | - Normaz Wana Ismail
- School of Business and Economics, Universiti Putra Malaysia UPM, 43400, Serdang, Selangor, Malaysia
| | - Shaufique Fahmi Ahmad Sidique
- Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia UPM, 43400, Serdang, Selangor, Malaysia
| | - Nur Syazwani Mazlan
- School of Business and Economics, Universiti Putra Malaysia UPM, 43400, Serdang, Selangor, Malaysia
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4
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Islam MR, Li T, Mahata K, Khanal N, Werden B, Giordano MR, Praveen Puppala S, Dhital NB, Gurung A, Saikawa E, Panday AK, Yokelson RJ, DeCarlo PF, Stone EA. Wintertime Air Quality across the Kathmandu Valley, Nepal: Concentration, Composition, and Sources of Fine and Coarse Particulate Matter. ACS EARTH & SPACE CHEMISTRY 2022; 6:2955-2971. [PMID: 36561192 PMCID: PMC9761783 DOI: 10.1021/acsearthspacechem.2c00243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 06/17/2023]
Abstract
The Kathmandu Valley in Nepal experiences poor air quality, especially in the dry winter season. In this study, we investigated the concentration, chemical composition, and sources of fine and coarse particulate matter (PM2.5, PM10, and PM10-2.5) at three sites within or near the Kathmandu Valley during the winter of 2018 as part of the second Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE 2). Daily PM2.5 concentrations were very high throughout the study period, ranging 72-149 μg m-3 at the urban Ratnapark site in Kathmandu, 88-161 μg m-3 at the suburban Lalitpur site, and 40-74 μg m-3 at rural Dhulikhel on the eastern rim of the Kathmandu Valley. Meanwhile, PM10 ranged 194-309, 174-377, and 64-131 μg m-3, respectively. At the Ratnapark site, crustal materials from resuspended soil contributed an average of 11% of PM2.5 and 34% of PM10. PM2.5 was largely comprised of organic carbon (OC, 28-30% by mass) and elemental carbon (EC, 10-14% by mass). As determined by chemical mass balance source apportionment modeling, major PM2.5 OC sources were garbage burning (15-21%), biomass burning (10-17%), and fossil fuel (14-26%). Secondary organic aerosol (SOA) contributions from aromatic volatile organic compounds (13-23% OC) were larger than those from isoprene (0.3-0.5%), monoterpenes (0.9-1.4%), and sesquiterpenes (3.6-4.4%). Nitro-monoaromatic compounds-of interest due to their light-absorbing properties and toxicity-indicate the presence of biomass burning-derived SOA. Knowledge of primary and secondary PM sources can facilitate air quality management in this region.
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Affiliation(s)
- Md. Robiul Islam
- Department
of Chemistry, University of Iowa, Iowa City, Iowa 52242, United States
| | - Tianyi Li
- Department
of Chemistry, University of Iowa, Iowa City, Iowa 52242, United States
| | | | | | - Benjamin Werden
- Department
of Civil, Architectural, and Environmental Engineering, Drexel University, Philadelphia, Pennsylvania 19104, United States
| | - Michael R. Giordano
- Univ
Paris Est Creteil and Université de Paris, CNRS, LISA, Créteil 94000, France
| | - Siva Praveen Puppala
- International
Centre for Integrated Mountain Development (ICIMOD), Khumaltar, Lalitpur 44700, Nepal
| | - Narayan Babu Dhital
- Patan
Multiple
Campus, Department of Environmental Science, Tribhuvan University, Lalitpur 44700, Nepal
| | - Anobha Gurung
- Clean
Cooking Alliance, Washington, District of Columbia 20006, United States
| | - Eri Saikawa
- Department
of Environmental Sciences, Emory University, Atlanta, Georgia 30322, United States
| | - Arnico K. Panday
- Institute
for Integrated Development Studies (IIDS), Kathmandu 44600, Nepal
| | - Robert J. Yokelson
- Department
of Chemistry, University of Montana, Missoula, Montana 59812, United States
| | - Peter F. DeCarlo
- Department
of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States
| | - Elizabeth. A. Stone
- Department
of Chemistry, University of Iowa, Iowa City, Iowa 52242, United States
- Department
of Chemical and Biochemical Engineering, University of Iowa, Iowa City, Iowa 52242, United States
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5
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Zhu Q, Zhang M, Hu Y, Xu X, Tao L, Zhang J, Luo Y, Guo X, Liu X. Research on prediction of daily admissions of respiratory diseases with comorbid diabetes in Beijing based on long short-term memory recurrent neural network. Zhejiang Da Xue Xue Bao Yi Xue Ban 2022; 51:1-9. [PMID: 35576109 PMCID: PMC9109758 DOI: 10.3724/zdxbyxb-2021-0227] [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] [Received: 08/06/2021] [Accepted: 12/08/2021] [Indexed: 06/15/2023]
Abstract
To compare the performance of generalized additive model (GAM) and long short-term memory recurrent neural network (LSTM-RNN) on the prediction of daily admissions of respiratory diseases with comorbid diabetes. Daily data on air pollutants, meteorological factors and hospital admissions for respiratory diseases from Jan 1st, 2014 to Dec 31st, 2019 in Beijing were collected. LSTM-RNN was used to predict the daily admissions of respiratory diseases with comorbid diabetes, and the results were compared with those of GAM. The evaluation indexes were calculated by five-fold cross validation. Compared with the GAM, the prediction errors of LSTM-RNN were significantly lower [root mean squared error (RMSE): 21.21±3.30 vs. 46.13±7.60, <0.01; mean absolute error (MAE): 14.64±1.99 vs. 36.08±6.20, <0.01], and the value was significantly higher (0.79±0.06 vs. 0.57±0.12, <0.01). In gender stratification, RMSE, MAE and values of LSTM-RNN were better than those of GAM in predicting female admission (all <0.05), but there were no significant difference in predicting male admission between two models (all >0.05). In seasonal stratification, RMSE and MAE of LSTM-RNN were lower than those of GAM in predicting warm season admission (all <0.05), but there was no significant difference in value (>0.05). There were no significant difference in RMSE, MAE and between the two models in predicting cold season admission (all >0.05). In the stratification of functional areas, the RMSE, MAE and values of LSTM-RNN were better than those of GAM in predicting core area admission (all <0.05). has lower prediction errors and better fitting than the GAM, which can provide scientific basis for precise allocation of medical resources in polluted weather in advance.
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Affiliation(s)
- Qian Zhu
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
| | - Meng Zhang
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
| | - Yaoyu Hu
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xiaolin Xu
- 2. School of Public Health, Zhejiang University School of Medicine, Hangzhou 310058, China
- 3. The University of Queensland, Brisbane 4006, Australia
| | - Lixin Tao
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Jie Zhang
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Yanxia Luo
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Xiuhua Guo
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
| | - Xiangtong Liu
- 1. School of Public Health, Capital Medical University, Beijing 100069, China
- Municipal Key Laboratory of Clinical Epidemiology, Beijing 100069, China
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6
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Hu Y, Wu M, Li Y, Liu X. Influence of PM 1 exposure on total and cause-specific respiratory diseases: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:15117-15126. [PMID: 34628607 PMCID: PMC8810454 DOI: 10.1007/s11356-021-16536-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/10/2021] [Indexed: 06/13/2023]
Abstract
An increasing number of studies examined the potential effects of PM1 (submicronic particulate matter with an aerodynamic diameter ≤ 1 μm) on the risk of respiratory diseases; however, the results have been inconclusive. This study aimed to determine the overall association between PM1 with total and cause-specific respiratory diseases. A systematic review and meta-analysis was conducted with 68 related articles retrieved, and six articles met the full inclusion criteria for the final analysis. For a 10 μg/m3 increase in PM1, the pooled odds ratio (OR) was 1.05 (95% CI 0.98-1.12) for total respiratory diseases, 1.25 (95% CI 1.00-1.56) for asthma, and 1.07 (95% CI 1.04-1.10) for pneumonia with the I2 value of 87%, 70%, and 0%, respectively. Subgroup analyses showed that long-term exposure to PM1 was associated with increased risk of asthma (OR 1.47, 95% CI 1.33-1.63) with an I2 value of 0%, while short-term exposure to PM1 was not associated with asthma (OR 1.07, 95% CI 0.89-1.27) with the I2 value of 0%. Egger's test showed that publication bias existed (P = 0.041); however, the funnel plot was symmetrical with the inclusion of the moderator. In conclusion, elevated levels of PM1 may increase morbidity in total and cause-specific respiratory diseases in the population.
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Affiliation(s)
- Yaoyu Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069 China
| | - Mengqiu Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069 China
| | - Yutong Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069 China
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, No. 10 Xitoutiao, Youanmen, Fengtai District, Beijing, 100069 China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069 China
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7
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Yuk H, Yang S, Wi S, Kang Y, Kim S. Verification of particle matter generation due to deterioration of building materials as the cause of indoor fine dust. JOURNAL OF HAZARDOUS MATERIALS 2021; 416:125920. [PMID: 34492852 DOI: 10.1016/j.jhazmat.2021.125920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Revised: 04/13/2021] [Accepted: 04/15/2021] [Indexed: 06/13/2023]
Abstract
Particles of fine dust are pollutants that adversely affect indoor air quality and exacerbate human respiratory diseases. The aging of the building was pointed out as a source of fine dust indoors. The aging of buildings has various causes of deterioration. During various deterioration, friction adversely affects the building floor finish. In this study, an accelerated friction deterioration device was used to confirm the generation of fine dust particles through the frictional deterioration of floor finishes in buildings. The study found that the concentration of fine dust particles attributed to deteriorating flooring was 327 mg/m3 in PM2.5 and 4828 mg/m3 in PM10 and confirmed that particle distribution differs depending on the surface of the flooring. Particles of 10 µm or less were observed through particle analysis. The study confirmed that fine dust particles did not diffuse in a specific direction and that the detected fine dust particles could be attributed to deterioration. Further research is needed on the detection of fine dust in degraded building finishing materials.
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Affiliation(s)
- Hyeonseong Yuk
- Department of Architecture and Architectural Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Sungwoong Yang
- Department of Architecture and Architectural Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Seunghwan Wi
- Department of Architecture and Architectural Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Yujin Kang
- Department of Architecture and Architectural Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Sumin Kim
- Department of Architecture and Architectural Engineering, Yonsei University, Seoul 03722, Republic of Korea.
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Malamardi S, Lambert KA, Batra M, Tham R, Padukudru Anand M, Erbas B. A systematic review of the evidence of outdoor air pollution on asthma hospital visits in children and adolescents in South Asia - a call for data. Wellcome Open Res 2021; 6:174. [PMID: 35071796 PMCID: PMC8749950 DOI: 10.12688/wellcomeopenres.16991.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/29/2021] [Indexed: 11/20/2022] Open
Abstract
Background: Outdoor air pollution and childhood asthma are increasing problems in South Asian countries. However, little is known about the associations between levels of air pollution and severe childhood asthma requiring hospital treatment in these regions. Methods: We undertook a systematic review to assess the evidence between outdoor air pollution exposure and childhood and adolescent asthma hospitalization in South Asia. MEDLINE, Web of Science, Google Scholar, CINAHL, Embase, Scopus, ProQuest Central databases were searched for peer-reviewed papers, and examination of reference lists was conducted for additional studies. We identified all the literature published in English up to January 2021 for the study population comprised of children aged less than 19 years. The search strategy was designed to identify all the studies and screen them as per the inclusion criteria. The method of qualitative synthesis using the standard tool determined the comprehensiveness of the assessment of bias. Results: Of the original 367 studies screened three studies were ultimately included from India, Pakistan and Sri Lanka and a narrative synthesis was conducted. Although studies reported adverse effects of outdoor pollution on asthma hospitalizations, limitations in exposure assessments, varying definitions of asthma hospitalizations and limited data analysis were identified. Conclusions: There is currently limited evidence that can provide meaningful risk estimates of the impact of outdoor air pollution on asthma hospitalizations during childhood and adolescence. Studies with comparable outcome definitions, appropriate exposure assessments and study designs are needed to inform future public and environmental health policy. PROSPERO registration: CRD42020156714 (28/04/2020).
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Affiliation(s)
- Sowmya Malamardi
- School of Psychology & Public Health, College of Science Health and Engineering, La Trobe University, Melbourne, 3086, Australia
- Department of Respiratory Medicine, JSS Academy of Higher Education & Research (JSSAHER), Mysuru, Karnataka, 570023, India
| | - Katrina A. Lambert
- School of Psychology & Public Health, College of Science Health and Engineering, La Trobe University, Melbourne, 3086, Australia
| | - Mehak Batra
- School of Psychology & Public Health, College of Science Health and Engineering, La Trobe University, Melbourne, 3086, Australia
| | - Rachel Tham
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, 3086, Australia
| | - Mahesh Padukudru Anand
- Department of Respiratory Medicine, JSS Academy of Higher Education & Research (JSSAHER), Mysuru, Karnataka, 570023, India
| | - Bircan Erbas
- School of Psychology & Public Health, College of Science Health and Engineering, La Trobe University, Melbourne, 3086, Australia
- Faculty of Public Health, Universitas Airlangga, Surabaya, Indonesia
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Zhang Y, Ma Y, Feng F, Cheng B, Wang H, Shen J, Jiao H. Association between PM 10 and specific circulatory system diseases in China. Sci Rep 2021; 11:12129. [PMID: 34108571 PMCID: PMC8190074 DOI: 10.1038/s41598-021-91637-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 05/25/2021] [Indexed: 11/26/2022] Open
Abstract
Particulate matter (PM) has been proved to be a risk factor for the development of circulatory system diseases (CSDs) around the world. In this study, we collected daily air pollutants, emergency room (ER) visits for CSDs, and meteorological data from 2009 to 2012 in Beijing, China. After controlling for the long-term trend and eliminating the influence of confounding factors, the generalized additive model (GAM) was used to evaluate the short-term effects of PM10 on CSDs and cause-specific diseases. The results showed that for every 10 μg/m3 increase in PM10, the largest effect estimates in ER visits of total CSDs, arrhythmia, cerebrovascular diseases, high blood pressure, ischemic heart disease and other related diseases were 0.14% (95% CI: 0.06-0.23%), 0.37% (95% CI: - 0.23 to 0.97%), 0.20% (95% CI: 0.00-0.40%), 0.15% (95% CI: 0.02-0.27%), 0.18% (95% CI: 0.02-0.35%) and 0.35% (95% CI: - 0.04 to 0.79%), respectively. When NO2 or SO2 was added into the model, the effect estimates of PM10 were mostly attenuated, while in those models with PM2.5 added, the effect estimates of PM10 were mostly increased. Stratified analysis indicated that PM10 had a greater effect on males and the elderly.
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Affiliation(s)
- Yifan Zhang
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Fengliu Feng
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Bowen Cheng
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Jiahui Shen
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Haoran Jiao
- Key Laboratory of Semi-Arid Climate Change, College of Atmospheric Sciences, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
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10
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Particle Size Analysis of African Dust Haze over the Last 20 Years: A Focus on the Extreme Event of June 2020. ATMOSPHERE 2021. [DOI: 10.3390/atmos12040502] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Over the last decades, the impact of mineral dust from African deserts on human health and climate has been of great interest to the scientific community. In this paper, the climatological analysis of dusty events of the past 20 years in the Caribbean area has been performed using a particulate approach. The focus is made on June 2020 extreme event dubbed “Godzilla”. To carry out this study, different types of data were used (ground-based, satellites, model, and soundings) on several sites in the Caribbean islands. First, the magnitude of June 2020 event was clearly highlighted using satellite imagery. During the peak of this event, the value of particulate matter with an aerodynamic diameter of less than 10 μμm (PM10) reached a value 9 times greater than the threshold recommended by the World Health Organization in one day. Thereafter, the PM10, the aerosol optical depth, and the volume particle size distribution analyses exhibited their maximum values for June 2020. We also highlighted the exceptional characteristics of the Saharan air layer in terms of thickness and wind speed for this period. Finally, our results showed that the more the proportion of particulate matter with an aerodynamic diameter of less than 2.5 μμm (PM2.5) in PM10 increases, the more the influence of sea salt aerosols is significant.
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Short-Term Associations of Ambient Fine Particulate Matter (PM 2.5) with All-Cause Hospital Admissions and Total Charges in 12 Japanese Cities. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18084116. [PMID: 33924698 PMCID: PMC8070111 DOI: 10.3390/ijerph18084116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/26/2021] [Accepted: 03/31/2021] [Indexed: 01/27/2023]
Abstract
The short-term association between ambient particulate matter ≤2.5 microns in diameter (PM2.5) and hospital admissions is not fully understood. Studies of this association with hospital admission costs are also scarce, especially in entire hospitalized populations. We examined the association between ambient PM2.5 and all-cause hospital admissions, the corresponding total charges, and the total charges per patient by analyzing the hospital admission data of 2 years from 628 hospitals in 12 cities in Japan. We used generalized additive models with quasi-Poisson regression for hospital admissions and generalized additive models with log-linear regression for total charges and total charges per patient. We first estimated city-specific results and the combined results by random-effect models. A total of 2,017,750 hospital admissions were identified. A 10 µg/m3 increase in the 2 day moving average was associated with a 0.56% (95% CI: 0.14–0.99%) increase in all-cause hospital admissions and a 1.17% (95% CI: 0.44–1.90%) increase in total charges, and a 10 µg/m3 increase in the prior 2 days was associated with a 0.75% (95% CI: 0.34–1.16%) increase in total charges per patient. Short-term exposure to ambient PM2.5 was associated with increased all-cause hospital admissions, total charges, and total charges per patient.
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Rahman MM, Begum BA, Hopke PK, Nahar K, Newman J, Thurston GD. Cardiovascular morbidity and mortality associations with biomass- and fossil-fuel-combustion fine-particulate-matter exposures in Dhaka, Bangladesh. Int J Epidemiol 2021; 50:1172-1183. [PMID: 33822936 DOI: 10.1093/ije/dyab037] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Fine-particulate-matter (i.e. with an aerodynamic diameter of ≤2.5 µm, PM2.5) air pollution is commonly treated as if it had 'equivalent toxicity', irrespective of the source and composition. We investigate the respective roles of fossil-fuel- and biomass-combustion particles in the PM2.5 relationship with cardiovascular morbidity and mortality using tracers of sources in Dhaka, Bangladesh. Results provide insight into the often observed levelling of the PM2.5 exposure-response curve at high-pollution levels. METHODS A time-series regression model, adjusted for potentially confounding influences, was applied to 340 758 cardiovascular disease (CVD) emergency-department visits (EDVs) during January 2014 to December 2017, 253 407 hospital admissions during September 2013 to December 2017 and 16 858 CVD deaths during January 2014 to October 2017. RESULTS Significant associations were confirmed between PM2.5-mass exposures and increased risk of cardiovascular EDV [0.27%, (0.07% to 0.47%)] at lag-0, hospitalizations [0.32% (0.08% to 0.55%)] at lag-0 and deaths [0.87%, (0.27% to 1.47%)] at lag-1 per 10-μg/m3 increase in PM2.5. However, the relationship of PM2.5 with morbidity and mortality effect slopes was less steep and non-significant at higher PM2.5 concentrations (during crop-burning-dominated exposures) and varied with PM2.5 source. Fossil-fuel-combustion PM2.5 had roughly a four times greater effect on CVD mortality and double the effect on CVD hospital admissions on a per-µg/m3 basis than did biomass-combustion PM2.5. CONCLUSION Biomass burning was responsible for most PM2.5 air pollution in Dhaka, but fossil-fuel-combustion PM2.5 dominated the CVD adverse health impacts. Such by-source variations in the health impacts of PM2.5 should be considered in conducting ambient particulate-matter risk assessments, as well as in prioritizing air-pollution-mitigation measures and clinical advice.
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Affiliation(s)
- Md Mostafijur Rahman
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | | | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA.,Center for Atmospheric Science and Engineering, Clarkson University, Potsdam, NY, USA
| | - Kamrun Nahar
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA
| | - Jonathan Newman
- Division of Cardiology and Center for the Prevention of Cardiovascular Disease, Department of Medicine, New York University School of Medicine, NY, USA
| | - George D Thurston
- Department of Environmental Medicine, New York University School of Medicine, New York, NY, USA.,Department of Population Health, New York University School of Medicine, New York, NY, USA
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Baral BD, Thapa K. Effect of the COVID-19 Lockdown on Ambient Air Quality in Major Cities of Nepal. J Health Pollut 2021; 11:210211. [PMID: 33815898 PMCID: PMC8009645 DOI: 10.5696/2156-9614-11.29.210211] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 01/20/2021] [Indexed: 05/21/2023]
Abstract
BACKGROUND The Nepalese government announced a nationwide lockdown beginning on March 24, 2020 as an attempt to restrain the spread of COVID-19. The prohibition in flight operations and movement of vehicles, factory shutdowns and restriction in people's movement due to the lockdown led to a significant reduction in the amounts of pollutants degrading air quality in many countries. OBJECTIVES The present study aimed to analyze changes in particulate matter (PM) emissions and the air quality index (AQI) of six cities in Nepal i.e., Damak, Simara, Kathmandu, Pokhara, Nepalgunj and Surkhet due to the nationwide lockdown in response to the COVID-19 outbreak. METHODS Daily PM concentrations of each of the six study cities from January 24 to September 21, 2020 were obtained from the World Air Quality Index project (https://aqicn.org) and analyzed using R Studio software. The drop percentage was calculated to determine the change in PM2.5 and PM10 concentration during different time periods. Independent sample Mann-Whitney U tests were performed to test the significance of differences in mean concentration for each site during the lockdown period (24 March-24 July 2020) and its corresponding period in 2019. Similarly, the significance of differences in mean concentrations between the lockdown period and the period immediately before lockdown (23 January-23 March) was also examined using the same test. RESULTS During the lockdown period, in overall Nepal, AQIPM2.5 and AQIPM10 were within the moderate zone for the maximum number of days. As a result of the lockdown, the highest immediate and final drop of PM2.5 was observed in Damak (26.37%) and Nepalgunj (80.86%), respectively. Similarly, the highest immediate drop of PM10 was observed in Surkhet (37.22%) and finally in Nepalgunj (81.14%). Analysis with the Mann-Whitney U test indicated that for both PM types, all sites showed a statistically significant (p < 0.05) difference in mean concentrations during lockdown and the corresponding period in 2019. CONCLUSIONS The present study explored the positive association between vehicular movement and PM emissions, highlighting the need for alternative fuel sources to improve air quality and human health. COMPETING INTERESTS The authors declare no competing financial interests.
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Affiliation(s)
- Bashu Dev Baral
- Department of Zoology, Tri-Chandra Multiple Campus, Tribhuvan University, Kathmandu, Nepal
| | - Kapil Thapa
- Department of Zoology, Tri-Chandra Multiple Campus, Tribhuvan University, Kathmandu, Nepal
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Abed Al Ahad M, Sullivan F, Demšar U, Melhem M, Kulu H. The effect of air-pollution and weather exposure on mortality and hospital admission and implications for further research: A systematic scoping review. PLoS One 2020; 15:e0241415. [PMID: 33119678 PMCID: PMC7595412 DOI: 10.1371/journal.pone.0241415] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/15/2020] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Air-pollution and weather exposure beyond certain thresholds have serious effects on public health. Yet, there is lack of information on wider aspects including the role of some effect modifiers and the interaction between air-pollution and weather. This article aims at a comprehensive review and narrative summary of literature on the association of air-pollution and weather with mortality and hospital admissions; and to highlight literature gaps that require further research. METHODS We conducted a scoping literature review. The search on two databases (PubMed and Web-of-Science) from 2012 to 2020 using three conceptual categories of "environmental factors", "health outcomes", and "Geographical region" revealed a total of 951 records. The narrative synthesis included all original studies with time-series, cohort, or case cross-over design; with ambient air-pollution and/or weather exposure; and mortality and/or hospital admission outcomes. RESULTS The final review included 112 articles from which 70 involved mortality, 30 hospital admission, and 12 studies included both outcomes. Air-pollution was shown to act consistently as risk factor for all-causes, cardiovascular, respiratory, cerebrovascular and cancer mortality and hospital admissions. Hot and cold temperature was a risk factor for wide range of cardiovascular, respiratory, and psychiatric illness; yet, in few studies, the increase in temperature reduced the risk of hospital admissions for pulmonary embolism, angina pectoris, chest, and ischemic heart diseases. The role of effect modification in the included studies was investigated in terms of gender, age, and season but not in terms of ethnicity. CONCLUSION Air-pollution and weather exposure beyond certain thresholds affect human health negatively. Effect modification of important socio-demographics such as ethnicity and the interaction between air-pollution and weather is often missed in the literature. Our findings highlight the need of further research in the area of health behaviour and mortality in relation to air-pollution and weather, to guide effective environmental health precautionary measures planning.
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Affiliation(s)
- Mary Abed Al Ahad
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom
| | - Frank Sullivan
- School of Medicine, University of St Andrews, Scotland, United Kingdom
| | - Urška Demšar
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom
| | - Maya Melhem
- Department of Landscape Design and Ecosystem Management, American University of Beirut, Beirut, Lebanon
| | - Hill Kulu
- School of Geography and Sustainable Development, University of St Andrews, Scotland, United Kingdom
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15
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Tian Y, Liu H, Liang T, Xiang X, Li M, Juan J, Song J, Cao Y, Wang X, Chen L, Wei C, Gao P, Hu Y. Fine particulate air pollution and adult hospital admissions in 200 Chinese cities: a time-series analysis. Int J Epidemiol 2020; 48:1142-1151. [PMID: 31157384 DOI: 10.1093/ije/dyz106] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/10/2019] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND The association between short-term exposure to ambient fine particulate matter (PM2.5) and morbidity risk in developing countries is not fully understood. We conducted a nationwide time-series study to estimate the short-term effect of PM2.5 on hospital admissions in Chinese adults. METHODS Daily counts of hospital admissions for 2014-16 were obtained from the National Urban Employee Basic Medical Insurance database. We identified more than 58 million hospitalizations from 0.28 billion insured persons in 200 Chinese cities for subjects aged 18 years or older. Generalized additive models with quasi-Poisson regression were applied to examine city-specific associations of PM2.5 concentrations with hospital admissions. National-average estimates of the association were obtained from a random-effects meta-analysis. We also investigated potential effect modifiers, such as age, sex, temperature and relative humidity. RESULTS An increase of 10 μg/m3 in same-day PM2.5 concentrations was positively associated with a 0.19% (95% confidence interval: 0.07-0.30) increase in the daily number of hospital admissions at the national level. PM2.5 exposure remained positively associated with hospital admissions on days when the daily concentrations met the current Chinese Ambient Air Quality Standards (75 μg/m3). Estimates of admission varied across cities and increased in cities with lower PM2.5 concentrations (p = 0.044) or higher temperatures (p = 0.002) and relative humidity (p = 0.003). The elderly were more sensitive to PM2.5 exposure (p < 0.001). CONCLUSIONS Short-term exposure to PM2.5 was positively associated with adult hospital admissions in China, even at levels below current Chinese Ambient Air Quality Standards.
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Affiliation(s)
- Yaohua Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Hui Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Medical Informatics Center, Peking University, Beijing, China
| | | | - Xiao Xiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Man Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Juan Juan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jing Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yaying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Xiaowen Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Libo Chen
- HealthCom Data Technology Co. Ltd, Beijing, China
| | - Chen Wei
- HealthCom Data Technology Co. Ltd, Beijing, China
| | - Pei Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.,Key Laboratory of Molecular Cardiovascular (Peking University), Ministry of Education, Beijing, China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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Yao C, Wang Y, Williams C, Xu C, Kartsonaki C, Lin Y, Zhang P, Yin P, Lam KBH. The association between high particulate matter pollution and daily cause-specific hospital admissions: a time-series study in Yichang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:5240-5250. [PMID: 31848968 DOI: 10.1007/s11356-019-06734-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 10/10/2019] [Indexed: 06/10/2023]
Abstract
Particulate matter (PM) air pollution is one of the major causes of morbidity and mortality in China. In this study, we estimated the short-term effects of PM on cause-specific hospitalization in Yichang, China. Daily data for PM level, meteorological factors, and hospital admissions (total hospitalization counts = 391,960) in Yichang between 2015 and 2017 were collected. We conducted a time-series study and applied a generalized additive model to evaluate the association between every 10 μg/m3 increment of PM and percent increase of hospitalization. We found positive and statistically significant associations between PM and hospital admissions for multiple outcomes, including all-cause, total respiratory, total cardiovascular diseases, and disease subcategories (hypertensive disease, coronary heart disease, stroke and the stroke subtype, chronic obstructive pulmonary disease, and lower respiratory infection). Each 10 μg/m3 increase in PM2.5 at Lag01 (a moving average of Lag0 to Lag1), was significantly associated with an increase of 1.31% (95% CI: 0.79%, 1.83%), 1.12% (95% CI: 0.40%, 1.84%), and 1.14% (95% CI: 0.53%, 1.75%) in hospitalizations for all-cause, CVD, and respiratory, respectively. The association for PM10 with all-cause, CVD, and respiratory admissions was similar but weaker than PM2.5. The effect on admissions persisted for up to 7 days, and peaked at Lag01. The associations between PM and all-cause hospitalizations were stronger among older individuals and in cold seasons. It is therefore important to continue implementation of emission abatement and other effective measures in Yichang and other cities in China.
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Affiliation(s)
- Chengye Yao
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yu Wang
- Department of Anesthesiology, Institute of Anesthesia and Critical Care, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277, Jiefang Avenue, Wuhan, 430022, China
| | | | - Chengzhong Xu
- Yichang Center for Disease Control and Prevention, 3 Dalian Road, Yichang, 443000, China
| | - Christiana Kartsonaki
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Medical Research Council Population Health Research Unit, University of Oxford, Oxford, UK
| | - Yun Lin
- Department of Anesthesiology, Institute of Anesthesia and Critical Care, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No.1277, Jiefang Avenue, Wuhan, 430022, China.
| | - Pei Zhang
- Yichang Center for Disease Control and Prevention, 3 Dalian Road, Yichang, 443000, China.
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
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17
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Pan SC, Huang CC, Chin WS, Chen BY, Chan CC, Guo YL. Association between air pollution exposure and diabetic retinopathy among diabetics. ENVIRONMENTAL RESEARCH 2020; 181:108960. [PMID: 31785778 DOI: 10.1016/j.envres.2019.108960] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 11/20/2019] [Accepted: 11/22/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND Exposure to air pollution has been linked to adverse effects on vascular diseases. However, the effects of air pollution exposure on diabetic retinopathy (DR), a vascular disease, have not been studied. OBJECTIVE To determine the association of ambient air pollution exposure with DR risk. METHODS Patients newly diagnosed as having diabetes mellitus (DM) during 2003-2012 from Longitudinal Health Insurance Database 2005), a subset of National Health Insurance Research Database, were included as the study cohort. Newly diagnosed DR patients one year or later after DM diagnosis were identified as cases. Kriging was used to interpolate yearly concentrations of air pollutants at township levels and linked with every individual's residence in each year; average concentrations during the follow-up period were then calculated as personal exposure. Conditional logistic regressions with adjustments for age at DM diagnosis and comorbidities were applied. RESULTS Of newly diagnosed DM cases during 2003-2012, 579 were newly diagnosed as having DR over a mean follow-up period of 5.6 years. The Odds ratio (95% confidence interval) of DR occurrence for every 10-μg/m3 increase in particulate matter with ≤2.5 and 2.5-10-μm diameter was 1.29 (1.11-1.50) and 1.37 (1.17-1.61), respectively. CONCLUSION In patients with DM, the higher particulate matter exposure, the higher is the DR risk.
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Affiliation(s)
- Shih-Chun Pan
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan.
| | - Ching-Chun Huang
- Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan.
| | - Wei-Shan Chin
- School of Nursing, College of Nursing, Taipei Medical University, Taipei, Taiwan.
| | - Bing-Yu Chen
- Department of Medical Research and Development, Chang Gung Memorial Hospital, Keelung, Taiwan.
| | - Chang-Chuan Chan
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan.
| | - Yue Leon Guo
- Institute of Environmental and Occupational Health Sciences, National Taiwan University, Taipei, Taiwan; Environmental and Occupational Medicine, College of Medicine, National Taiwan University (NTU) and NTU Hospital, Taipei, Taiwan; National Institute of Environmental Health Sciences, National Health Research Institute, Miaoli, Taiwan.
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Dhital S, Rupakheti D. Bibliometric analysis of global research on air pollution and human health: 1998-2017. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:13103-13114. [PMID: 30900125 DOI: 10.1007/s11356-019-04482-x] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2018] [Accepted: 02/05/2019] [Indexed: 06/09/2023]
Abstract
To give a basic overview of research publications on air pollution and human health, a bibliometric analysis of 2179 documents published during the last two decades (year 1998 to 2017) was carried out. The relevant data was retrieved from the Web of Science Core Collection (WoSCC) and analyzed by using the software such as VOSviewer 1.6.7, Tableau Public 2018.1, and Origin Pro 9.0 for visualization and mapping. The publication trend showed a drastic increase during the second decade. The most productive countries working in the field of air pollution and human health were the USA, China, Italy, England, and Canada, whereas top institutions were Chinese Academy of Sciences, US EPA, Harvard University, Peking University, and University of Sao Paulo. Likewise, leading authors in the context of number of documents published and co-citation were Michael Bell and C. Arden Pope respectively. Majority of the researches were published in the journals like Atmospheric Environment, Science of the Total Environment, and Environmental Science and Pollution Research whereas most common author keywords in the publications were "air pollution," "particulate matter," and "PM2.5."
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Affiliation(s)
- Sushma Dhital
- School of Public Health, Lanzhou University, No. 222 South Tianshui Road, Lanzhou, 730000, China.
| | - Dipesh Rupakheti
- State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China
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Feng W, Li H, Wang S, Van Halm-Lutterodt N, An J, Liu Y, Liu M, Wang X, Guo X. Short-term PM 10 and emergency department admissions for selective cardiovascular and respiratory diseases in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 657:213-221. [PMID: 30543969 DOI: 10.1016/j.scitotenv.2018.12.066] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 12/05/2018] [Accepted: 12/05/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND Few studies have explored PM10's connection with specific respiratory and cardiovascular emergency department admissions (EDAs). This study aimed to examine the overall effects of PM10 on EDAs for cardiovascular and respiratory diseases, including specifically, cerebrovascular events (CVE), ischemic heart disease (IHD), arrhythmia, heart failure (HF), upper respiratory tract infection (URTI), lower respiratory tract infection (LRTI), chronic obstructive pulmonary disease (COPD) and asthma. METHODS We collected daily data for EDAs from the 10 largest hospitals in Beijing, between January 2013 and December 2013 as well as daily measurements of PM10 from 17 stations in Beijing. The generalized-additive model was utilized to evaluate the associations between daily PM10 and cardio-pulmonary disease admissions. Differences in gender, age, and season groups were also examined by models. Relative risks (RR) with 95% confidence interval (CI) were calculated based on subtype, age, gender and seasonal groups. In all, there were approximately 56,212 cardiovascular and 92,464 respiratory emergency admissions presented in this study. RESULTS The largest estimate effects in EDAs of total cardiovascular disease, CVE, IHD, total respiratory diseases, URTI, LRTI and COPD were found for PM10 at day 4 (accumulative) moving average, were 0.29% (95% CI:0.12%, 0.46%), 0.36% (95% CI:0.11%, 0.61%), 0.68% (95% CI:0.25%, 1.10%), 0.34% (95% CI:0.22%, 0.47%), 0.35% (95% CI:0.18%, 0.51%), 0.34% (95% CI:0.14%, 0.55%), 2.75% (95% CI:1.38%, 4.12%) respectively. In two-pollutant models and full-pollutant model modified confounding factors, the positive correlation remained unchanged. The elderly (age ≥ 65 years) and male subjects were more susceptible to specific respiratory diseases. PM10's impact on EDAs for HF was found higher during the hot season however, EDAs for COPD peaked during the cold season. CONCLUSION The study markedly informed that PM10 pollution was strongly associated with EDAs for cardio-pulmonary diseases. The effects of PM10 pollution on COPD and heart failure EDAs were clearly determined by seasonal-temperatures.
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Affiliation(s)
- Wei Feng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Haibin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Shuo Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Nicholas Van Halm-Lutterodt
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Department of Orthopaedics and Neurosurgery, Keck Medical Center of USC, University of Southern California, Los Angeles, CA, United States of America
| | - Ji An
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yue Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Mengyang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China; Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China.
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20
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Tian Y, Liu H, Liang T, Xiang X, Li M, Juan J, Song J, Cao Y, Wang X, Chen L, Wei C, Gao P, Hu Y. Ambient air pollution and daily hospital admissions: A nationwide study in 218 Chinese cities. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 242:1042-1049. [PMID: 30096542 DOI: 10.1016/j.envpol.2018.07.116] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 07/09/2018] [Accepted: 07/24/2018] [Indexed: 06/08/2023]
Abstract
There have been few large multicity studies to evaluate the acute health effects of ambient air pollution on morbidity risk in developing counties. In this study, we examined the short-term associations of air pollution with daily hospital admissions in China. We conducted a nationwide time-series study in 218 Chinese cities between 2014 and 2016. Data on daily hospital admissions counts were obtained from the National Health Insurance Database for Urban Employees covering 0.28 billion enrollees. We used generalized additive model with Poisson regression to estimate the associations in each city, and we performed random-effects meta-analysis to pool the city-specific estimates. More than 60 million hospital admissions were analyzed in this study. At the national-average level, each 10 μg/m3 increase in PM10, SO2, and NO2, and 1 mg/m3 increase in CO at lag 0 day was associated with a 0.29% (95% CI, 0.23%-0.36%), 1.16% (95% CI, 0.92%-1.40%), 1.68% (95% CI, 1.40%-1.95%), and 2.59% (95% CI, 1.69%-3.50%) higher daily hospital admissions, respectively. The associations of air pollution with hospital admissions remained statistically significant at levels below the current Chinese Ambient Air Quality Standards. The effect estimates were larger in cities with lower air pollutants levels or higher air temperatures and relative humidity, as well as in the elderly. In conclusion, our findings provide robust evidence of increased hospital admissions in association with short-term exposure to ambient air pollution in China.
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Affiliation(s)
- Yaohua Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Hui Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China; Medical Informatics Center, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Tianlang Liang
- Beijing HealthCom Data Technology Co.Ltd, No. 18 Fengtai North Road, 10/F Hengtai Plaza Block C, 100071, Beijing, China
| | - Xiao Xiang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Man Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Juan Juan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Jing Song
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Yaying Cao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Xiaowen Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China
| | - Libo Chen
- Beijing HealthCom Data Technology Co.Ltd, No. 18 Fengtai North Road, 10/F Hengtai Plaza Block C, 100071, Beijing, China
| | - Chen Wei
- Beijing HealthCom Data Technology Co.Ltd, No. 18 Fengtai North Road, 10/F Hengtai Plaza Block C, 100071, Beijing, China
| | - Pei Gao
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China.
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China.
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21
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Saud B, Paudel G. The Threat of Ambient Air Pollution in Kathmandu, Nepal. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2018; 2018:1504591. [PMID: 30112009 PMCID: PMC6077323 DOI: 10.1155/2018/1504591] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2017] [Revised: 06/15/2018] [Accepted: 06/25/2018] [Indexed: 11/17/2022]
Abstract
Air pollution has been a major problem of 21st century for both developed and developing world. It has a negative impact on various environmental aspects which directly or indirectly affect the quality of human health. Nepal, especially Kathmandu, in the current situation, is observing rapid urbanization and various infrastructure development projects. As a result, these sorts of human activities have been responsible for increasing air pollution in an enormous rate inside Kathmandu Valley. Chronic exposure of deteriorated air increases the chance of Noncommunicable Disease (NCD) like lung disease, heart disease, and cancers. Short term exposures also invite respiratory diseases and allergy. This review is an attempt to summarize the updated knowledge on the threat of air pollution on public health and discuss the sources of air pollutants in Kathmandu. We reviewed the literatures that were published in PMC, MEDLINE, life science journals, and organization official websites and finally came up with the findings and their interpretation that reveal the current scenario in the context of Kathmandu's air quality status and its impact on human health. The knowledge about the invisible killer's role in causing acute and chronic diseases may help in finding out the answer of the question regarding its effect and prevention.
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Affiliation(s)
- Bhuvan Saud
- Department of Medical Laboratory Technology, Janamaitri Foundation Institute of Health Sciences (JFIHS), GPO Box 8322, Hattiban, Lalitpur, Nepal
| | - Govinda Paudel
- Department of Medical Laboratory Technology, Janamaitri Foundation Institute of Health Sciences (JFIHS), GPO Box 8322, Hattiban, Lalitpur, Nepal
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