1
|
Jiang F, Wang R, Yang Y, Jia X, Ma L, Yuan M, Liu K, Bao J. Effects of intra- and inter-day temperature change on acute upper respiratory infections among college students, assessments of three temperature change indicators. Front Public Health 2024; 12:1406415. [PMID: 39247226 PMCID: PMC11377250 DOI: 10.3389/fpubh.2024.1406415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Accepted: 07/31/2024] [Indexed: 09/10/2024] Open
Abstract
Background Acute upper respiratory infection (AURI) is a significant disease affecting all age groups worldwide. The differences in the impacts of different temperature change indicators, such as diurnal temperature range (DTR), temperature variation (TV), and temperature change between neighboring days (TCN), on AURI morbidity, are not clear. Methods We collected data on 87,186 AURI patients during 2014-2019 in Zhengzhou. Distributed lag non-linear model was adopted to examine the effects of different temperature change indicators on AURI. We calculated and compared the attributable fractions (AF) of AURI morbidity caused by various indicators. We used stratified analysis to investigate the modification effects of season and gender. Results With the increase in DTR and TV, the risk of AURI tended to increase; the corresponding AF values (95% eCI) higher than the references (5% position of the DTR or TV distribution) were 24.26% (15.46%, 32.05%), 23.10% (15.59%, 29.20%), and 19.24% (13.90%, 24.63%) for DTR, TV0 - 1, and TV0 - 7, respectively. The harmful effects of TCN on AURI mainly occurred when the temperature dropped (TCN < 0), and the AF value of TCN below the reference (0°C) was 3.42% (1.60%, 5.14%). The harm of DTR and TV were statistically significant in spring, autumn and winter, but not in summer, while the harm of TCN mainly occurred in winter. Three indicators have statistically significant effects on both males and females. Conclusions High DTR and TV may induce AURI morbidity, while the harm of TCN occurs when the temperature drops. The impacts of DTR and TV on AURI are higher than that of TCN, and the impact of few-day TV is higher than that of multi-day TV. The adverse effects of DTR and TV are significant except in summer, while the hazards of TCN mainly occur in winter.
Collapse
Affiliation(s)
- Feng Jiang
- Department of Disease Prevention and Control, Zhengzhou University Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Rensong Wang
- Department of Emergency, Shanghai Fengxian District Medical Emergency Center, Shanghai, China
| | - Yongli Yang
- Department of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaocan Jia
- Department of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Leying Ma
- Department of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Mengyang Yuan
- Department of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Kangkang Liu
- Department of Research Center for Medicine, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China
| | - Junzhe Bao
- Department of Biostatistics and Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
2
|
Huang JY, Feng W, Sang GX, McDonald S, He TF, Lin Y. Association between short-term exposure to ambient air pollutants and the risk of hospital visits for acute upper respiratory tract infections among adults: a time-series study in Ningbo, China. BMC Public Health 2024; 24:1555. [PMID: 38858655 PMCID: PMC11163729 DOI: 10.1186/s12889-024-19030-7] [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: 02/07/2024] [Accepted: 05/31/2024] [Indexed: 06/12/2024] Open
Abstract
OBJECTIVES Acute upper respiratory tract infections (AURTIs) are prevalent in the general population. However, studies on the association of short-term exposure to air pollution with the risk of hospital visits for AURTIs in adults are limited. This study aimed to explore the short-term exposure to air pollutants among Chinese adults living in Ningbo. METHODS Quasi-Poisson time serious regressions with distributed lag non-linear models (DLNM) were applied to explore the association between ambient air pollution and AURTIs cases. Patients ≥ 18 years who visit three hospitals, being representative for urban, urban-rural junction and rural were included in this retrospective study. RESULTS In total, 104,441 cases with AURTIs were enrolled in hospital during 2015-2019. The main results showed that particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5), nitrogen dioxide (NO2) and nitrogen dioxide (SO2), were positively associated to hospital visits for AURTIs, except for nitrogen dioxide (O3), which was not statistically significant. The largest single-lag effect for PM2.5 at lag 8 days (RR = 1.02, 95%CI: 1.08-1.40), for NO2 at lag 13 days (RR = 1.03, 95%CI: 1.00-1.06) and for SO2 at lag 5 days (RR = 1.27, 95%CI: 1.08-1.48), respectively. In the stratified analysis, females, and young adults (18-60 years) were more vulnerable to PM2.5 and SO2 and the effect was greater in rural areas and urban-rural junction. CONCLUSIONS Exposure to ambient air pollution was significantly associated with hospital visits for AURTIs. This study provides epidemiological evidence for policymakers to control better air quality and establish an enhanced system of air pollution alerts.
Collapse
Affiliation(s)
- Jin-Ying Huang
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China
| | - Wei Feng
- Fenghua District Center for Disease Control and Prevention, Ningbo, China
| | - Guo-Xin Sang
- Ningbo Municipal Center for Disease Control and Prevention, 1166, Fanjiangan Road, Ningbo, 315010, China
| | - Stuart McDonald
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China
| | - Tian-Feng He
- Ningbo Municipal Center for Disease Control and Prevention, 1166, Fanjiangan Road, Ningbo, 315010, China.
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
| | - Yi Lin
- Nottingham Ningbo GRADE Centre, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, China.
| |
Collapse
|
3
|
Fang B, Wei J, Chen L, Jin S, Li Q, Cai R, Qian N, Gu Z, Chen L, Santon R, Wang C, Song W. Short-term association of particulate matter and cardiovascular disease mortality in Shanghai, China between 2003 and 2020. Front Public Health 2024; 12:1388069. [PMID: 38651122 PMCID: PMC11034551 DOI: 10.3389/fpubh.2024.1388069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 03/18/2024] [Indexed: 04/25/2024] Open
Abstract
Objective Evidence regarding the effects of particulate matter (PM) pollutants on cardiovascular disease (CVD) mortality remains limited in Shanghai, China. Our objective was to thoroughly evaluate associations between PM pollutants and CVD mortality. Methods Daily data on CVD mortality, PM (PM10 and PM2.5) pollutants, and meteorological variables in Shanghai, China were gathered from 2003 to 2020. We utilized a time-series design with the generalized additive model to assess associations between PM pollutants and CVD mortality. Additionally, we conducted stratified analyses based on sex, age, education, and seasons using the same model. Results We found that PM pollutants had a significant association with CVD mortality during the study period. Specifically, there was a 0.29% (95%CI: 0.14, 0.44) increase in CVD mortality for every 10 μg/m3 rise in a 2-day average (lag01) concentration of PM10. A 0.28% (95% CI: 0.07, 0.49) increase in CVD mortality was associated with every 10 μg/m3 rise in PM2.5 concentration at lag01. Overall, the estimated effects of PM10 and PM2.5 were larger in the warm period compared with the cold period. Furthermore, males and the older adult exhibited greater susceptibility to PM10 and PM2.5 exposure, and individuals with lower education levels experienced more significant effects from PM10 and PM2.5 than those with higher education levels. Conclusion Our findings suggested that PM pollutants have a substantial impact on increasing CVD mortality in Shanghai, China. Moreover, the impacts of air pollution on health may be altered by factors such as season, sex, age, and educational levels.
Collapse
Affiliation(s)
- Bo Fang
- School of Public Health, Fudan University, Shanghai, China
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
| | - Lei Chen
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Shan Jin
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Qi Li
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Renzhi Cai
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Naisi Qian
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Zhen Gu
- Vital Strategies, Shanghai, China
| | - Lei Chen
- Vital Strategies, Shanghai, China
| | | | - Chunfang Wang
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Weimin Song
- School of Public Health, Fudan University, Shanghai, China
| |
Collapse
|
4
|
Wang H, Qian G, Shi J, Lu W, Chen Y, Fang K, Shen Y, Rong H, Huangfu X, Feng Y, Zhang W, Zhang K. Association between short-term exposure to ambient air pollution and upper respiratory tract infection in Kunshan. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024; 68:189-197. [PMID: 38032509 DOI: 10.1007/s00484-023-02582-5] [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: 06/18/2023] [Revised: 11/11/2023] [Accepted: 11/14/2023] [Indexed: 12/01/2023]
Abstract
The health effects of air pollution have become a major public health problem. Studies on the relationship between short-term exposure to air pollutants and upper respiratory tract infection (URTI) related clinic visits and expenditures were scarce. From January 1, 2019, to December 31, 2021, we included all the URTI cases that turned to 11 public hospitals in Kunshan, and summarized individual medical cost. Daily meteorological factors and 24-h mean concentrations of four common air pollutants, including particulate matter with an aerodynamic diameter less than 2.5 μm (PM2.5) and 10 μm (PM10), sulfur dioxide (SO2), and nitrogen dioxide (NO2), were consecutively recorded. Generalized additive regression model was adopted to quantify the associations between each air pollutant and the daily clinic visits of URTI cases. We further calculated attributable number (AN) and attributable fraction, and performed sensitivity analysis by gender, age, and season. A total of 934,180 cases were retrieved during the study period. PM2.5, PM10, SO2, and NO2 showed significant associations with hospital visits and expenditures due to URTI. Relative risks for them were 1.065 (95% confidence interval [CI] 1.055, 1.076), 1.045 (95% CI 1.037, 1.052), 1.098 (95% CI 1.038, 1.163), and 1.098 (95% CI 1.085, 1.111) on lag 0-5 days, respectively. Thirty-one thousand four hundred fifty-five (95% CI 27,457, 35,436) cases could be ascribed to increased NO2 and accounted for 3.37% (95% CI 2.94%, 3.79%) of all clinic visits. Sensitivity analyses indicated that the effects of air pollution were generally consistent for male and female. PM2.5, PM10, and NO2 had stronger associations among people aged ≤ 18 years, followed by those aged 19-64 years and ≥ 65 years. The association strengths of air pollution varied seasonally. Short-term exposure to ambient air pollutants had significant associations with clinic visits and expenditures owing to URTI. Children and adolescents appeared to be more susceptible to adverse health effects of air pollution. NO2 may be a priority when formulating pollution control measures.
Collapse
Affiliation(s)
- Hua Wang
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China
| | - Guohua Qian
- Kunshan Center for Disease Control and Prevention, Kunshan, 215300, Jiangsu Province, China
| | - Jian Shi
- Kunshan Center for Disease Control and Prevention, Kunshan, 215300, Jiangsu Province, China
| | - Wenjie Lu
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China
| | - Yingchao Chen
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China
| | - Kun Fang
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China
| | - Yang Shen
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China
| | - Huan Rong
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China
| | - Xuanhua Huangfu
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China
| | - Yan Feng
- Public Health Division, The First People's Hospital of Kunshan, Kunshan, 215300, Jiangsu Province, China
| | - Wei Zhang
- Public Health Division, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, 215300, Jiangsu Province, China
| | - Kexun Zhang
- Department of Infectious Disease Control, Kunshan Center for Disease Control and Prevention, Tongcheng South Road 567, Kunshan, 215300, Jiangsu Province, China.
| |
Collapse
|
5
|
Yan R, Ying S, Jiang Y, Duan Y, Chen R, Kan H, Fu Q, Gu Y. Associations between ultrafine particle pollution and daily outpatient visits for respiratory diseases in Shanghai, China: a time-series analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:3004-3013. [PMID: 38072886 PMCID: PMC10791965 DOI: 10.1007/s11356-023-31248-3] [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: 08/11/2023] [Accepted: 11/22/2023] [Indexed: 01/18/2024]
Abstract
Previous epidemiological studies have linked short-term exposure to particulate matter with outpatient visits for respiratory diseases. However, evidence on ultrafine particle (UFP) is still scarce in China. To investigate the association between short-term UFP exposure and outpatient visits for respiratory diseases as well as the corresponding lag patterns, information on outpatient visits for main respiratory diseases during January 1, 2017, to December 31, 2019 was collected from electronic medical records of two large tertiary hospitals in Shanghai, China. Generalized additive models employing a Quasi-Poisson distribution were employed to investigate the relationships between UFP and respiratory diseases. We computed the percentage change and its corresponding 95% confidence interval (CI) for outpatient visits related to respiratory diseases per interquartile range (IQR) increase in UFP concentrations. Based on a total of 1,034,394 hospital visits for respiratory diseases in Shanghai, China, we found that the strongest associations of total UFP with acute upper respiratory tract infection (AURTI), bronchitis, chronic obstructive pulmonary disease (COPD), and pneumonia occurred at lag 03, 03, 0, and 03 days, respectively. Each IQR increase in the total UFP concentrations was associated with increments of 9.02% (95% CI: 8.64-9.40%), 3.94% (95% CI: 2.84-5.06%), 4.10% (95% CI: 3.01-5.20%), and 10.15% (95% CI: 9.32-10.99%) for AURTI, bronchitis, COPD, and pneumonia, respectively. Almost linear concentration-response relationship curves without apparent thresholds were observed between total UFP and outpatient-department visits for four respiratory diseases. Stratified analyses illustrated significantly stronger associations of total UFP with AURTI, bronchitis, and pneumonia among female patients, while that with COPD was stronger among male patients. After adjustment of criteria air pollutants, these associations all remained robust. This time-series study indicates that short-term exposure to UFP was associated with increased risk of hospital visits for respiratory diseases, underscoring the importance of reducing ambient UFP concentrations for respiratory diseases control and prevention.
Collapse
Affiliation(s)
- Ran Yan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Shengjie Ying
- Shanghai Minhang District Center for Disease Control and Prevention, Shanghai, 201101, China
| | - Yixuan Jiang
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Yusen Duan
- Shanghai Environmental Monitoring Center, Shanghai, 200235, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Lab of Health Technology Assessment, Fudan University, Shanghai, 200032, China
| | - Qingyan Fu
- Shanghai Environmental Monitoring Center, Shanghai, 200235, China
| | - Yiqin Gu
- Shanghai Minhang District Center for Disease Control and Prevention, Shanghai, 201101, China.
- Shanghai Minhang Dental Disease Prevention and Treatment Institute, Shanghai, 201103, China.
| |
Collapse
|
6
|
Chen H, Duan Q, Zhu H, Wan S, Zhao X, Ye D, Fang X. Short-term association of CO and NO 2 with hospital visits for glomerulonephritis in Hefei, China: a time series study. Front Public Health 2023; 11:1239378. [PMID: 37670834 PMCID: PMC10475946 DOI: 10.3389/fpubh.2023.1239378] [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: 06/13/2023] [Accepted: 07/24/2023] [Indexed: 09/07/2023] Open
Abstract
Objective Recent studies suggest air pollution as an underlying factor to kidney disease. However, there is still limited knowledge about the short-term correlation between glomerulonephritis (GN) and air pollution. Thus, we aim to fill this research gap by investigating the short-term correlation between GN clinical visits and air pollution exposure. Methods Between 2015 and 2019, daily GN visit data from two grade A tertiary hospitals in Hefei City were collected, along with corresponding air pollution and meteorological data. A generalized linear model integrated with a distributed lag nonlinear model was employed to analyze the relationship between GN visits and air pollutants. Moreover, we incorporated a dual pollutant model to account for the combined effects of multiple pollutants. Furthermore, subgroup analyses were performed to identify vulnerable populations based on gender, age, and season. Results The association between 23,475 GN visits and air pollutants was assessed, and significant positive associations were found between CO and NO2 exposure and GN visit risk. The single-day lagged effect model for CO showed increased risks for GN visits from lag0 (RR: 1.129, 95% CI: 1.031-1.236) to lag2 (RR: 1.034, 95% CI: 1.011-1.022), with the highest risk at lag0. In contrast, NO2 displayed a more persistent impact (lag1-lag4) on GN visit risk, peaking at lag2 (RR: 1.017, 95% CI: 1.011-1.022). Within the dual-pollutant model, the significance persisted for both CO and NO2 after adjusting for each other. Subgroup analyses showed that the cumulative harm of CO was greater in the cold-season and older adult groups. Meanwhile, the female group was more vulnerable to the harmful effects of cumulative exposure to NO2. Conclusion Our study indicated that CO and NO2 exposure can raise the risk of GN visits, and female and older adult populations exhibited greater susceptibility.
Collapse
Affiliation(s)
- Haifeng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Qiong Duan
- Department of Health Management Center, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Huahui Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Shuai Wan
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xinyi Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Dongqing Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| | - Xinyu Fang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, Anhui, China
| |
Collapse
|
7
|
Zhang X, Yu S, Zhang F, Zhu S, Zhao G, Zhang X, Li T, Yu B, Zhu W, Li D. Association between traffic-related air pollution and osteoporotic fracture hospitalizations in inland and coastal areas: evidences from the central areas of two cities in Shandong Province, China. Arch Osteoporos 2023; 18:96. [PMID: 37452267 DOI: 10.1007/s11657-023-01308-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 07/06/2023] [Indexed: 07/18/2023]
Abstract
Our result showed that short-term exposure to traffic-related air pollutants (TRAPs) might increase the risk of hospitalizations for osteoporotic fractures. It was suggested that government should formulate emission reduction policies to protect the health of citizens. INTRODUCTION As the main source of urban air pollution in China, exhaust emissions of motor vehicles have been linked to adverse health outcomes, but evidence of the relationship between short-term exposure to TRAPs and osteoporotic fractures is still relatively rare. METHODS In this study, a total of 5044 inpatients from an inland city (Jinan) and a coastal city (Qingdao), two cities with developed transportation in Shandong Province, were included. A generalized additive model (GAM) was used to investigate the association between TRAPs and hospitalizations for osteoporotic fractures. The stratified analyses were performed by gender and age. RESULTS Positive associations between TRAPs and osteoporotic fracture hospitalizations were observed. We found that short-term exposure to TRAPs was associated with increased numbers of hospitalizations for osteoporotic fractures. PM2.5 and PM10 were statistically significant associated with hospitalizations for osteoporotic fractures at both single-day and multiday lag structures only in Qingdao, with the strongest associations at lag06 and lag07 [RR=1.0446(95%CI: 1.0018,1.0891) for PM2.5, RR=1.0328(95%CI: 1.0084,1.0578) for PM10]. For NO2 and CO, we found significant associations at lag4 in the single lag structure in Jinan [RR=1.0354 (95%CI: 1.0071, 1.0646) for NO2, RR=1.0014 (95%CI: 1.0002, 1.0025) for CO], while only CO at lag4 was significantly associated with hospitalizations for osteoporotic fractures in Qingdao [1.0038 (1.0012, 1.0063)]. Stratified analyses indicated that the associations were stronger in females and older individuals (65 + years). CONCLUSION This study implied that short-term exposure to TRAPs pollution was associated with an increased risk of hospitalizations for osteoporotic fractures. Female patients and patients aged 65 + years appeared to be more vulnerable to TRAPs, suggesting that poor air quality is a modifiable risk factor for osteoporotic fractures.
Collapse
Affiliation(s)
- Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Shengwen Yu
- Department of Orthopedics, Qingdao Hospital of Traditional Chinese Medicine (Qingdao Hiser hospital), Qingdao, 266033, China
| | - Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Tianzhou Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Bo Yu
- Department of Orthopedics, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
| | - Dejia Li
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
| |
Collapse
|
8
|
Madani NA, Carpenter DO. Patterns of Emergency Room Visits for Respiratory Diseases in New York State in Relation to Air Pollution, Poverty and Smoking. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3267. [PMID: 36833962 PMCID: PMC9966596 DOI: 10.3390/ijerph20043267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 01/30/2023] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
We have explored differences in rates of emergency room (ER) visits for respiratory diseases in the counties of New York State (NYS) in relation to levels of air pollution, poverty, and smoking. Air pollution information was derived from the National Emissions Inventory, which provides information on road, non-road, point, and non-point sources of 12 different air pollutants. This information is only available at the county level. Four types of respiratory diseases were considered: asthma, chronic obstructive pulmonary disease (COPD), acute lower respiratory diseases, and acute upper respiratory diseases. Asthma ER visits were elevated in counties with greater total air pollution. All forms of respiratory diseases were elevated in counties with a greater rate of poverty, although this may reflect the fact that poor people often use ERs for routine care. There was a very strong association between rates of smoking for COPD and acute lower respiratory diseases. There was an apparent negative association between smoking and asthma ER visits, but this must reflect the fact that smoking was much more common in upstate counties while asthma was more common in the New York City area, where air pollution is high. Air pollution was much greater in urban than in rural areas. Our evidence indicates that air pollution is the greatest risk factor for asthma attacks, whereas smoking is the greatest risk factor for chronic obstructive pulmonary disease (COPD) and lower respiratory disease. Poor people are more vulnerable to all forms of respiratory diseases.
Collapse
Affiliation(s)
- Najm Alsadat Madani
- Department of Environmental Health Science, School of Public Health, 1 University Place, University at Albany, Rensselaer, NY 12144, USA
- Institute for Health and the Environment, 5 University Place, University at Albany, Rensselaer, NY 12144, USA
| | - David O Carpenter
- Department of Environmental Health Science, School of Public Health, 1 University Place, University at Albany, Rensselaer, NY 12144, USA
- Institute for Health and the Environment, 5 University Place, University at Albany, Rensselaer, NY 12144, USA
| |
Collapse
|
9
|
Raoofi S, Pashazadeh Kan F, Rafiei S, Hosseinipalangi Z, Noorani Mejareh Z, Khani S, Abdollahi B, Seyghalani Talab F, Sanaei M, Zarabi F, Dolati Y, Ahmadi N, Raoofi N, Sarhadi Y, Masoumi M, sadat Hosseini B, Vali N, Gholamali N, Asadi S, Ahmadi S, Ahmadi B, Beiramy Chomalu Z, Asadollahi E, Rajabi M, Gharagozloo D, Nejatifar Z, Soheylirad R, Jalali S, Aghajani F, Navidriahy M, Deylami S, Nasiri M, Zareei M, Golmohammadi Z, Shabani H, Torabi F, Shabaninejad H, Nemati A, Amerzadeh M, Aryankhesal A, Ghashghaee A. Global prevalence of nosocomial infection: A systematic review and meta-analysis. PLoS One 2023; 18:e0274248. [PMID: 36706112 PMCID: PMC9882897 DOI: 10.1371/journal.pone.0274248] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 08/24/2022] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES Hospital-acquired infections (HAIs) are significant problems as public health issues which need attention. Such infections are significant problems for society and healthcare organizations. This study aimed to carry out a systematic review and a meta-analysis to analyze the prevalence of HAIs globally. METHODS We conducted a comprehensive search of electronic databases including EMBASE, Scopus, PubMed and Web of Science between 2000 and June 2021. We found 7031 articles. After removing the duplicates, 5430 studies were screened based on the titles/ abstracts. Then, we systematically evaluated the full texts of the 1909 remaining studies and selected 400 records with 29,159,630 participants for meta-analysis. Random-effects model was used for the analysis, and heterogeneity analysis and publication bias test were conducted. RESULTS The rate of universal HAIs was 0.14 percent. The rate of HAIs is increasing by 0.06 percent annually. The highest rate of HAIs was in the AFR, while the lowest prevalence were in AMR and WPR. Besides, AFR prevalence in central Africa is higher than in other parts of the world by 0.27 (95% CI, 0.22-0.34). Besides, E. coli infected patients more than other micro-organisms such as Coagulase-negative staphylococci, Staphylococcus spp. and Pseudomonas aeruginosa. In hospital wards, Transplant, and Neonatal wards and ICU had the highest rates. The prevalence of HAIs was higher in men than in women. CONCLUSION We identified several essential details about the rate of HAIs in various parts of the world. The HAIs rate and the most common micro-organism were different in various contexts. However, several essential gaps were also identified. The study findings can help hospital managers and health policy makers identify the reason for HAIs and apply effective control programs to implement different plans to reduce the HAIs rate and the financial costs of such infections and save resources.
Collapse
Affiliation(s)
- Samira Raoofi
- School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
- Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Pashazadeh Kan
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Sima Rafiei
- Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Zahra Hosseinipalangi
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Noorani Mejareh
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Saghar Khani
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Bahare Abdollahi
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Seyghalani Talab
- Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Mohaddeseh Sanaei
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Farnaz Zarabi
- Department of Anesthesia, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Yasamin Dolati
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Niloofar Ahmadi
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Neda Raoofi
- Cardiovascular Research Center Kermanshah, Kermanshah, Iran
| | - Yasamin Sarhadi
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Maryam Masoumi
- Clinical Research and Development Center, Qom University of Medical Sciences, Qom, Iran
| | - Batool sadat Hosseini
- Department of Anesthesia, School of Allied Medical Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Negin Vali
- Shahid AkbarAbadi Clinical Research Development unit (SHACRDU), Iran University of Medical Sciences, Tehran, Iran
| | - Negin Gholamali
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Saba Asadi
- Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
| | - Saba Ahmadi
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Behrooz Ahmadi
- Clinical Research Development Center, Imam Ali Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Zahra Beiramy Chomalu
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Elnaz Asadollahi
- Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mona Rajabi
- Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Dorsa Gharagozloo
- Department of Molecular and Cellular Sciences, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Zahra Nejatifar
- Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Rana Soheylirad
- Social Determinants of Health Research Center, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Shabnam Jalali
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Farnaz Aghajani
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Mobina Navidriahy
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Sama Deylami
- Student Research Committee, School of Nursing and Midwifery, Iran University of Medical Sciences, Tehran, Iran
| | - Mahmoud Nasiri
- Researcher at Toward Evidence (http://towardevidence.co.uk/), Glasgow, United Kingdom
| | - Mahsa Zareei
- Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Zahra Golmohammadi
- Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Hamideh Shabani
- Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Fatemeh Torabi
- Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Hosein Shabaninejad
- Population Health Sciences Institute (PHSI), Newcastle University, Newcastle, United Kingdom
| | - Ali Nemati
- Student Research Committee, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Mohammad Amerzadeh
- Social Determinants of Health Research Center, Research Institute for Prevention of Non-Communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
| | - Aidin Aryankhesal
- Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Ghashghaee
- School of Medicine, Dentistry & Nursing, University of Glasgow, Glasgow, United Kingdom
| |
Collapse
|
10
|
Zhang F, Tang H, Zhao D, Zhang X, Zhu S, Zhao G, Zhang X, Li T, Wei J, Li D, Zhu W. Short-term exposure to ambient particulate matter and mortality among HIV/AIDS patients: Case-crossover evidence from all counties of Hubei province, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159410. [PMID: 36257445 DOI: 10.1016/j.scitotenv.2022.159410] [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: 07/10/2022] [Revised: 09/28/2022] [Accepted: 10/09/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) has been a worrisome public health problem in the world. However, evidence for associations between short-term exposure to particulate matter (PM) and mortality among HIV/AIDS patients is scarce. METHODS We collected daily death records in people with HIV/AIDS from all counties (N = 103) of Hubei province, China from 2018 to 2019. The county-level daily concentrations of PM1, PM2.5 and PM10 in the same period were extracted from ChinaHighAirPollutants dataset. A time-stratified case-crossover design with conditional logistic regression analysis was performed to assess the associations between PM and mortality. RESULTS Each 1 μg/m3 increased in PM1 corresponded with 0.89 % elevated in all-cause deaths (ACD) at lag 0-4 days. The largest effects of PM1, PM2.5 and PM10 on AIDS-related deaths (ARD) were detected at lag 0-4 days, and PM1 [percent changes in odds ratio: 2.51 % (95 % CIs: 0.82, 4.22)] appeared greater health hazards than PM2.5 [1.24 % (95 % CIs: 0.33, 2.15)] as well as PM10 [0.65 % (95 % CIs: 0.01, 1.30)]. In subgroup analyses, the significant associations of PM1/PM2.5 and ACD were only found in male and the cold season. We also observed the effects of PM1 and PM10 on ARD were significantly stronger (P for interaction <0.05) in males than females. In addition, we caught sight of HIV/AIDS patients aged over 60 years old were more susceptible to ARD caused by PM than younger population. CONCLUSIONS Our study suggested PM1 was positively linked with the risk of ACD and ARD. Male patients with HIV/AIDS were more significantly susceptible to PM1, PM2.5 and PM10. PM1/PM2.5 appeared stronger associations with ARD in HIV/AIDS patients aged over 60 years old and in the cold season.
Collapse
Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Hen Tang
- Institute of Chronic Infectious Disease Prevention and Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Dingyuan Zhao
- Institute of Chronic Infectious Disease Prevention and Control, Hubei Provincial Center for Disease Control and Prevention, Wuhan 430079, China
| | - Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Tianzhou Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, China
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD 20740, USA.
| | - Dejia Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, China.
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan 430071, China.
| |
Collapse
|
11
|
Zhang F, Zhang X, Zhu S, Zhao G, Li T, Han A, Zhang X, Zhao T, Li D, Zhu W. The associations between short-term exposure to ambient particulate matter and hospitalizations for osteoporotic fracture in Hangzhou: a time-stratified case-crossover study. Arch Osteoporos 2022; 18:4. [PMID: 36469172 DOI: 10.1007/s11657-022-01192-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022]
Abstract
Our results suggested that short-term exposure to particulate matter (PM) might increase the risks of hospitalizations for osteoporotic fractures. Government should protect its citizens by putting in place policies to reduce unhealthy emissions and air pollution. INTRODUCTION Osteoporotic fractures are accompanied by high rates of disability and mortality. PM has been linked with many health outcomes. However, few studies focus on the association of short-term exposure to ambient PM and osteoporotic fractures. METHODS Data on daily mean air pollution, meteorological factors, and hospitalizations for osteoporotic fractures were collected from Hangzhou, China, 2020-2021. A time-stratified case-crossover design with extended Cox proportional hazards regression was applied to assess the associations between PM and osteoporotic fractures. RESULTS Short-term exposure to PM significantly increased the risks of hospitalizations for osteoporotic fractures at cumulative lag days. Per 10 μg/m3 increased in PM2.5 (PM with an aerodynamic diameter ≤ 2.5 μm), PMC (PM with an aerodynamic diameter between 2.5 μm and 10 μm), and PM10 (PM with an aerodynamic diameter ≤ 10 μm) were associated with 5.65% (95% confidence intervals (CIs): 1.29, 10.19), 3.19% (0.11, 6.36), and 2.45% (0.57, 4.37) increase in hospitalizations for osteoporotic fractures, respectively. Significant PM-osteoporotic fracture associations were only observed in females and people aged over 65 years old. For the season, the estimates of PM on hospitalizations for osteoporotic fractures were 6.30% (95% CIs: 1.62, 11.20) in the cold season vs. 2.16% (95% CIs: - 4.62, 9.42) in the warm season for per 10 μg/m3 increase of PM2.5, and 0.99 (95% CIs: - 2.69, 4.80) vs. 6.72% (95% CIs: 0.68, 13.13) for PMC. CONCLUSIONS Our study showed PM was positively linked with the risk of osteoporotic fractures. Females and people aged over 65 years old were more susceptible to PM. The adverse impacts of PM2.5 in the cold season and PMC in the warm season were worthy of special attention.
Collapse
Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Xupeng Zhang
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Shijie Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Gaichan Zhao
- Department of Public Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Tianzhou Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Aojing Han
- Department of Preventive Medicine, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Xiaowei Zhang
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China
| | - Tingxiao Zhao
- Center for Plastic & Reconstructive Surgery, Department of Orthopedics, Zhejiang Provincial People's Hospital, Hangzhou, 310014, China.
| | - Dejia Li
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Public Health, Wuhan University, Wuhan, 430071, China.
| |
Collapse
|
12
|
Ma Y, Shen J, Zhang Y, Wang H, Li H, Cheng Y, Guo Y. Short-term effect of ambient ozone pollution on respiratory diseases in western China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2022; 44:4129-4140. [PMID: 35001229 DOI: 10.1007/s10653-021-01174-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/30/2021] [Indexed: 06/14/2023]
Abstract
Ambient air pollution has been regarded as an important cause of the morbidity and mortality of respiratory diseases. In the current work, a total of 469,490 respiratory emergency room (ER) visits in Lanzhou, China from Jan 1, 2013 to Dec 31, 2016 were collected. A generalized additive model (GAM) was used to investigate the association between O3 and respiratory ER visits for the different gender and age subgroups. The results showed that: (a) with per inter-quartile range (IQR) (31 µg/m3) increase in O3, the greatest relative risk (RR) of respiratory ER visits for the total was 1.014 (95% CI 1.008-1.020) at lag 4 days. Females and 16-to-45-year-olds were relatively more sensitive to O3; (b) the significant lag effects were found in single-day lag models, with the highest RR values for different groups were observed at lag 3-lag 5 days. The multi-day cumulative lag effects were stronger for the total; (c) in the multiple-pollutant models, the effects of O3 were generally increased when introducing other pollutants (PM10, PM2.5, SO2 and NO2) for adjustment. This study demonstrated that short-term exposure to O3 increased the RR of respiratory ER visits in Lanzhou, China.
Collapse
Affiliation(s)
- Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Jiahui Shen
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yongtao Guo
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| |
Collapse
|
13
|
Jia H, Xu J, Ning L, Feng T, Cao P, Gao S, Shang P, Yu X. Ambient air pollution, temperature and hospital admissions due to respiratory diseases in a cold, industrial city. J Glob Health 2022; 12:04085. [PMID: 36243957 PMCID: PMC9569423 DOI: 10.7189/jogh.12.04085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background The influences of air pollution exposure and temperature on respiratory diseases have become major global health concerns. This study investigated the relationship between ambient air pollutant concentrations and temperature in cold industrial cities that have the risk of hospitalization for respiratory diseases. Methods A time-series study was conducted in Changchun, China, from 2015 to 2019 to analyse the number of daily admissions for respiratory diseases, air pollutant concentrations, and meteorological factors. Time-series decomposition was applied to analyse the trend and characteristics of the number of admissions. Generalized additive models and distributed lag nonlinear models were constructed to explore the effects of air pollutant concentrations and temperature on the number of admissions. Results The number of daily admissions showed an increasing trend, and the seasonal fluctuation was obvious, with more daily admissions in winter and spring than in summer and autumn. There were positive and gradually decreasing lag effects of PM10, PM2.5, NO2, and CO concentrations on the number of admissions, whereas O3 showed a J-shaped trend. The results showed that within the 7-day lag period, 0.5°C was the temperature associated with the lowest relative risk of admission due to respiratory disease, and extremely low and high temperatures (<-18°C, >27°C, respectively) increased the risk of hospitalization for respiratory diseases by 8.3% and 12.1%, respectively. Conclusions From 2015 to 2019, respiratory diseases in Changchun showed an increasing trend with obvious seasonality. The increased concentrations of SO2, NO2, CO, PM2.5, O3 and PM10 lead to an increased risk of hospitalization for respiratory diseases, with a significant lag effect. Both extreme heat and cold could lead to increases in the risk of admission due to respiratory disease.
Collapse
Affiliation(s)
- Huanhuan Jia
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Jiaying Xu
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Liangwen Ning
- School of Public Administration, Jilin University, Changchun City, Jilin Province, China
| | - Tianyu Feng
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Peng Cao
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Shang Gao
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Panpan Shang
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| | - Xihe Yu
- School of Public Health, Jilin University, Changchun City, Jilin Province, China
| |
Collapse
|
14
|
Sun H, Shin YM, Xia M, Ke S, Wan M, Yuan L, Guo Y, Archibald AT. Spatial Resolved Surface Ozone with Urban and Rural Differentiation during 1990-2019: A Space-Time Bayesian Neural Network Downscaler. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:7337-7349. [PMID: 34751030 DOI: 10.1021/acs.est.1c04797] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Long-term exposure to ambient ozone (O3) can lead to a series of chronic diseases and associated premature deaths, and thus population-level environmental health studies hanker after the high-resolution surface O3 concentration database. In response to this demand, we innovatively construct a space-time Bayesian neural network parametric regressor to fuse TOAR historical observations, CMIP6 multimodel simulation ensemble, population distributions, land cover properties, and emission inventories altogether and downscale to 10 km × 10 km spatial resolution with high methodological reliability (R2 = 0.89-0.97, RMSE = 1.97-3.42 ppbV), fair prediction accuracy (R2 = 0.69-0.77, RMSE = 5.63-7.97 ppbV), and commendable spatiotemporal extrapolation capabilities (R2 = 0.62-0.76, RMSE = 5.38-11.7 ppbV). Based on our predictions in 8-h maximum daily average metric, the rural-site surface O3 are 15.1±7.4 ppbV higher than urban globally averaged across 30 historical years during 1990-2019, with developing countries being of the most evident differences. The globe-wide urban surface O3 are climbing by 1.9±2.3 ppbV per decade, except for the decreasing trends in eastern United States. On the other hand, the global rural surface O3 tend to be relatively stable, except for the rising tendencies in China and India. Using CMIP6 model simulations directly without urban-rural differentiation will lead to underestimations of population O3 exposure by 2.0±0.8 ppbV averaged over each historical year. Our original Bayesian neural network framework contributes to the deep-learning-driven environmental studies methodologically by providing a brand-new feasible way to realize data fusion and downscaling, which maintains high interpretability by conforming to the principles of spatial statistics without compromising the prediction accuracy. Moreover, the 30-year highly spatial resolved monthly surface O3 database with multiple metrics fills in the literature gap for long-term surface O3 exposure tracing.
Collapse
Affiliation(s)
- Haitong Sun
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K
- Department of Earth Sciences, University of Cambridge, Cambridge CB2 3EQ, U.K
| | - Youngsub Matthew Shin
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K
| | - Mingtao Xia
- Department of Mathematics, University of California, Los Angeles, California 90095, United States
| | - Shengxian Ke
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K
| | - Michelle Wan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K
| | - Le Yuan
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne Victoria 3004, Australia
| | - Alexander T Archibald
- Centre for Atmospheric Science, Yusuf Hamied Department of Chemistry, University of Cambridge, Cambridge CB2 1EW, U.K
- National Centre for Atmospheric Science, Cambridge CB2 1EW, U.K
| |
Collapse
|
15
|
Keulers L, Dehghani A, Knippels L, Garssen J, Papadopoulos N, Folkerts G, Braber S, van Bergenhenegouwen J. Probiotics, prebiotics, and synbiotics to prevent or combat air pollution consequences: The gut-lung axis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 302:119066. [PMID: 35240267 DOI: 10.1016/j.envpol.2022.119066] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 05/26/2023]
Abstract
Air pollution exposure is a public health emergency, which attributes globally to an estimated seven million deaths on a yearly basis We are all exposed to air pollutants, varying from ambient air pollution hanging over cities to dust inside the home. It is a mixture of airborne particulate matter and gases that can be subdivided into three categories based on particle diameter. The smallest category called PM0.1 is the most abundant. A fraction of the particles included in this category might enter the blood stream spreading to other parts of the body. As air pollutants can enter the body via the lungs and gut, growing evidence links its exposure to gastrointestinal and respiratory impairments and diseases, like asthma, rhinitis, respiratory tract infections, Crohn's disease, ulcerative colitis, and abdominal pain. It has become evident that there exists a crosstalk between the respiratory and gastrointestinal tracts, commonly referred to as the gut-lung axis. Via microbial secretions, metabolites, immune mediators and lipid profiles, these two separate organ systems can influence each other. Well-known immunomodulators and gut health stimulators are probiotics, prebiotics, together called synbiotics. They might combat air pollution-induced systemic inflammation and oxidative stress by optimizing the microbiota composition and microbial metabolites, thereby stimulating anti-inflammatory pathways and strengthening mucosal and epithelial barriers. Although clinical studies investigating the role of probiotics, prebiotics, and synbiotics in an air pollution setting are lacking, these interventions show promising health promoting effects by affecting the gastrointestinal- and respiratory tract. This review summarizes the current data on how air pollution can affect the gut-lung axis and might impact gut and lung health. It will further elaborate on the potential role of probiotics, prebiotics and synbiotics on the gut-lung axis, and gut and lung health.
Collapse
Affiliation(s)
- Loret Keulers
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands.
| | - Ali Dehghani
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands
| | - Leon Knippels
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands
| | - Johan Garssen
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands
| | - Nikolaos Papadopoulos
- Centre for Paediatrics and Child Health, Institute of Human Development, University of Manchester, Oxford Road M13 9PL, Manchester, United Kingdom
| | - Gert Folkerts
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands
| | - Saskia Braber
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands
| | - Jeroen van Bergenhenegouwen
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Faculty of Science, Utrecht University, Universiteitsweg 99, 3584, CG, Utrecht, the Netherlands; Danone Nutricia Research, Uppsalalaan 12, 3584, CT, Utrecht, the Netherlands
| |
Collapse
|
16
|
Chen Y, Ning Y, Bi X, Liu J, Yang S, Liu Z, Huang W. Pine needles as urban atmospheric pollution indicators: Heavy metal concentrations and Pb isotopic source identification. CHEMOSPHERE 2022; 296:134043. [PMID: 35189201 DOI: 10.1016/j.chemosphere.2022.134043] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 02/09/2022] [Accepted: 02/16/2022] [Indexed: 06/14/2023]
Abstract
Pine needles are reliable passive bio-samplers that can be used to monitor atmospheric pollution levels. This study applied Pb isotope and multivariate statistical analyses to pine needles to examine the characteristics, sources, and ecological risks of atmospheric heavy metal pollution in the cities of the middle reaches of the Yangtze River, China. The heavy metal concentrations were higher than those measured in pine needles elsewhere in the world. They were higher in the metropolitan city (Wuhan) than in the medium-sized city (Yichang) and lowest in the natural setting (Shennongjia Forestry District), which is consistent with trends in urbanization and industrialization. Principal component analysis grouped the metals into three main sets associated with industrial activities and traffic sources. The Pb composition determined the main anthropogenic Pb sources were vehicle exhaust and industrial activities related to the lead-zinc ore, only a few of which were coal combustion. Three risk assessment indexes (pollution load index, ecological risk index, and bioconcentration factor) suggest that atmospheric heavy metals in the study area pose moderate environmental and health risks.
Collapse
Affiliation(s)
- Yizhu Chen
- Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China; State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yongqiang Ning
- Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China
| | - Xiangyang Bi
- Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China
| | - Jinling Liu
- Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China.
| | - Shaochen Yang
- Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China
| | - Zhifu Liu
- Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan, 430074, China
| | - Wenmin Huang
- Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China.
| |
Collapse
|
17
|
Association between Ambient Air Pollutants and Pneumonia in Wuhan, China, 2014–2017. ATMOSPHERE 2022. [DOI: 10.3390/atmos13040578] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Objectives: To assess associations between short-time air pollution exposure and outpatient visits for pneumonia by the distributed lag nonlinear model (DLNM). Methods: Daily outpatient visits for pneumonia and air pollutant data were collected from Wuhan Basic Medical Insurance Database in China and 10 national air quality monitoring stations in Wuhan from 2014 to 2017, respectively. Taking the first percentile of the concentration as the reference, DLNM was used to estimate the impact of moderate (50th) and high levels (99th) of pollutants on pneumonia. Results: A total of 133,882 outpatient visits were identified during the period of the study. Moderate-level (P50) fine particulate matter (PM2.5) or sulfur dioxide (SO2) and high-level nitrogen dioxide (NO2) (P99) can increase the risk of pneumonia. The maximum RR was 1.198 (95% CI: 1.094–1.311) at lag0-11, 1.304 (95% CI: 1.166–1.458) at lag0-13, and 1.286 (95% CI: 1.060–1.561) at lag0-14, respectively. Females and children had greater risks. Conclusions: Short-time PM2.5, SO2, and NO2 exposure were associated with outpatient visits for pneumonia in Wuhan, China.
Collapse
|
18
|
Liu Y, Wang Y, Dong J, Wang J, Bao H, Zhai G. Association between air pollution and emergency department visits for upper respiratory tract infection inLanzhou, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28816-28828. [PMID: 34989991 DOI: 10.1007/s11356-021-17932-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/30/2021] [Indexed: 06/14/2023]
Abstract
There is limited evidence regarding the associations between air pollution and emergency hospital visits for upper respiratory tract infection (URTI) in the arid regions of northwest China. We collected daily emergency department (ED) visits for URTI from three hospitals in Lanzhou during January 2014 and December 2018, as well as daily air pollutants and meteorological factors. In the present study, generalized additive model with quasi-Poisson regression was used to evaluate the relationship between short-term exposure to ambient pollutants and daily emergency hospital visits for URTI in Lanzhou, China. Furthermore, subgroup analyses were conducted by gender (male and female), age (0-14, 15-64, and ≥ 65 years)), and season (cold season, warm season). The results of the single-pollutant model show that the associations of PM2.5, PM10, SO2, NO2, and CO with URTI ED visits were all statistically significant, whereas we observed insignificant associations of O38h. The highest association of each pollutant with hospital emergency visits was observed with PM2.5 (5.302% (95% CI: 3.202, 7.445)), PM10 (0.808% (95% CI: 0.291, 1.328)), SO2 (10.607% (95% CI: 5.819, 15.611)), and NO2 (5.325% (95% CI: 2.379, 8.357)) at lag 07 for an increase of 10 ug/m3 in concentrations of the pollutants. Percentage increase for each 1-mg/m3 increase in CO was 20.799% (95% CI: 11.834, 30.482) at lag 07. In the stratification analyses, females were more susceptible to PM2.5 and PM10, while males were more sensitive to the effects of SO2, NO2, and CO, and the higher association effect of four pollutants (PM2.5, SO2, NO2, and CO) on hospital visits for URTI among children (0-14 years). The associations appeared to be stronger in the cool season than in the warm season. This study suggests that short-term exposure to air pollution, especially to SO2 and CO, was associated with increased risk of hospital emergency visits for URTI in Lanzhou, China. Relevant strategies and health interventions should be strengthened to reduce the air pollution level in the future.
Collapse
Affiliation(s)
- Yurong Liu
- School of Public Health, Lanzhou University, Lanzhou 730000, Lanzhou, People's Republic of China
| | - Yanru Wang
- School of Public Health, Lanzhou University, Lanzhou 730000, Lanzhou, People's Republic of China
| | - Jiyuan Dong
- School of Public Health, Lanzhou University, Lanzhou 730000, Lanzhou, People's Republic of China.
| | - Jiancheng Wang
- Gansu Provincial Hospital, Lanzhou, 730050, People's Republic of China
| | - Hairong Bao
- Department of Gerontal Respiratory Medicine, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Guangyu Zhai
- School of Economics and Management, Lanzhou University of Technology, Lanzhou, 730050, People's Republic of China
| |
Collapse
|
19
|
Zhang F, Wu C, Zhang M, Zhang H, Feng H, Zhu W. The association between diurnal temperature range and clinic visits for upper respiratory tract infection among college students in Wuhan, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:2287-2297. [PMID: 34363175 DOI: 10.1007/s11356-021-15777-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/29/2021] [Indexed: 06/13/2023]
Abstract
The effects of daily mean temperature on health outcomes have been discussed in many previous studies, but few have considered the adverse impacts on upper respiratory tract infection (URTI) due to variance of temperature in one day. Diurnal temperature range (DTR) was a novel indicator calculated as maximum temperature minus minimum temperature on the same day. In this study, generalized additive model (GAM) with quasi-Poisson distribution was used to investigate the association between DTR and the number of daily outpatient visits for URTI among college students. Data about meteorological factors and air pollutants were provided by Hubei Meteorological Bureau and Wuhan Environmental Protection Bureau, respectively. Outpatient visits data were collected from the Hospital of Wuhan University from January 1, 2016, to December 31, 2018. Short-term exposure to DTR was associated with the increased risk of outpatient for URTI among all college students. Per 1 °C increased in DTR was associated with 0.73% (95%CI: 0.24, 1.21) increased in outpatient visits of all college students for URTI at lag 0 day. The greatest effect values were observed in males [1.35% (95%CI: 0.33,2.39)] at lag 0-6 days, and in females [0.86% (95%CI: 0.24, 1.49)] at lag 0-1 days. DTR had more adverse health impact in autumn and winter. Public health departments should consider the negative effect of DTR to formulate more effective prevention and control measures for protecting vulnerable people.
Collapse
Affiliation(s)
- Faxue Zhang
- Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Chuangxin Wu
- Department of Global Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Miaoxuan Zhang
- Hospital of Wuhan University, Wuhan, 430072, Hubei, China
| | - Han Zhang
- Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Huan Feng
- Department of Epidemiology and Biostatistics, School of Health Sciences, Wuhan University, Wuhan, 430071, China
| | - Wei Zhu
- Department of Occupational and Environmental Health, School of Health Sciences, Wuhan University, Wuhan, 430071, China.
| |
Collapse
|
20
|
Ventilation-Associated Particulate Matter Is a Potential Reservoir of Multidrug-Resistant Organisms in Health Facilities. Life (Basel) 2021; 11:life11070639. [PMID: 34209235 PMCID: PMC8307074 DOI: 10.3390/life11070639] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 06/14/2021] [Accepted: 06/29/2021] [Indexed: 02/03/2023] Open
Abstract
Most healthcare-associated infections (HCAIs) develop due to the colonisation of patients and healthcare workers by multidrug-resistant organisms (MDRO). Here, we investigated whether the particulate matter from the ventilation systems (Vent-PM) of health facilities can harbour MDRO and other microbes, thereby acting as a potential reservoir of HCAIs. Dust samples collected in the ventilation grilles and adjacent air ducts underwent a detailed analysis of physicochemical properties and biodiversity. All Vent-PM samples included ultrafine PM capable of reaching the alveoli. Strikingly, >70% of Vent-PM samples were contaminated, mostly by viruses (>15%) or multidrug-resistant and biofilm-producing bacterial strains (60% and 48% of all bacteria-contaminated specimens, respectively). Total viable count at 1 m from the ventilation grilles was significantly increased after opening doors and windows, indicating an association between air flow and bacterial contamination. Both chemical and microbial compositions of Vent-PM considerably differed across surgical vs. non-surgical and intensive vs. elective care units and between health facilities located in coal and chemical districts. Reduced diversity among MDRO and increased prevalence ratio in multidrug-resistant to the total Enterococcus spp. in Vent-PM testified to the evolving antibiotic resistance. In conclusion, we suggest Vent-PM as a previously underestimated reservoir of HCAI-causing pathogens in the hospital environment.
Collapse
|
21
|
Zhao C, Fang X, Feng Y, Fang X, He J, Pan H. Emerging role of air pollution and meteorological parameters in COVID-19. J Evid Based Med 2021; 14:123-138. [PMID: 34003571 PMCID: PMC8207011 DOI: 10.1111/jebm.12430] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 04/21/2021] [Accepted: 04/21/2021] [Indexed: 01/09/2023]
Abstract
Exposure to air pollutants has been associated with respiratory viral infections. Epidemiological studies have shown that air pollution exposure is related to increased cases of SARS-COV-2 infection and COVID-19-associated mortality. In addition, the changes of meteorological parameters have also been implicated in the occurrence and development of COVID-19. However, the molecular mechanisms by which pollutant exposure and changes of meteorological parameters affects COVID-19 remains unknown. This review summarizes the biology of COVID-19 and the route of viral transmission, and elaborates on the relationship between air pollution and climate indicators and COVID-19. Finally, we envisaged the potential roles of air pollution and meteorological parameters in COVID-19.
Collapse
Affiliation(s)
- Channa Zhao
- Anhui Provincial Tuberculosis InstituteHefeiAnhuiChina
| | - Xinyu Fang
- Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityHefeiAnhuiChina
- Inflammation and Immune Mediated Diseases Laboratory of Anhui ProvinceHefeiAnhuiChina
| | - Yating Feng
- Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityHefeiAnhuiChina
- Inflammation and Immune Mediated Diseases Laboratory of Anhui ProvinceHefeiAnhuiChina
| | - Xuehui Fang
- Anhui Provincial Tuberculosis InstituteHefeiAnhuiChina
| | - Jun He
- Anhui Provincial Center for Disease Control and PreventionHefeiChina
- Key Laboratory for Medical and Health of the 13th Five‐Year PlanHefeiAnhuiChina
| | - Haifeng Pan
- Department of Epidemiology and Biostatistics, School of Public HealthAnhui Medical UniversityHefeiAnhuiChina
- Inflammation and Immune Mediated Diseases Laboratory of Anhui ProvinceHefeiAnhuiChina
| |
Collapse
|