Search

Your search keyword '"Evangelopoulos, Dimitris"' showing total 50 results
Start Over Author "Evangelopoulos, Dimitris"
50 results on '"Evangelopoulos, Dimitris"'

4. Characterising sources of PM2·5 exposure for school children with asthma: a personal exposure study across six cities in sub-Saharan Africa

Author

Lim, Shanon, Said, Bibie, Zurba, Lindsay, Mosler, Gioia, Addo-Yobo, Emmanuel, Adeyeye, Olayinka Olufunke, Arhin, Bernard, Evangelopoulos, Dimitris, Fapohunda, Victoria Temitope, Fortune, Farida, Griffiths, Chris J, Hlophe, Sbekezelo, Kasekete, Marian, Lowther, Scott, Masekela, Refiloe, Mkutumula, Elizabeth, Mmbaga, Blandina Theophil, Mujuru, Hilda Angela, Nantanda, Rebecca, Mzati Nkhalamba, Lovemore, Ngocho, James S, Ojo, Oluwafemi Tunde, Owusu, Sandra Kwarteng, Shaibu, Sunshine, Ticklay, Ismail, Grigg, Jonathan, and Barratt, Benjamin

Published
2024
Full Text
View/download PDF

7. Two Decades of Air Pollution Health Risk Assessment: Insights From the Use of WHO's AirQ and AirQ+ Tools.

Author

Amini, Heresh, Yousefian, Fatemeh, Faridi, Sasan, Andersen, Zorana J., Calas, Ellénore, Castro, Alberto, Cervantes-Martínez, Karla, Cole-Hunter, Thomas, Corso, Magali, Dragic, Natasa, Evangelopoulos, Dimitris, Gapp, Christian, Hassanvand, Mohammad Sadegh, Kim, Ingu, Le Tertre, Alain, Medina, Sylvia, Miller, Brian, Montero, Stephanie, Requia, Weeberb J., and Riojas-Rodriguez, Horacio

Subjects
POLLUTION risk assessment, HEALTH risk assessment, AIR pollution, DATABASE searching
Abstract

Objectives: We evaluated studies that used the World Health Organization's (WHO) AirQ and AirQ+ tools for air pollution (AP) health risk assessment (HRA) and provided best practice suggestions for future assessments. Methods: We performed a comprehensive review of studies using WHO's AirQ and AirQ+ tools, searching several databases for relevant articles, reports, and theses from inception to Dec 31, 2022. Results: We identified 286 studies that met our criteria. The studies were conducted in 69 countries, with most (57%) in Iran, followed by Italy and India (~8% each). We found that many studies inadequately report air pollution exposure data, its quality, and validity. The decisions concerning the analysed population size, health outcomes of interest, baseline incidence, concentration-response functions, relative risk values, and counterfactual values are often not justified, sufficiently. Many studies lack an uncertainty assessment. Conclusion: Our review found a number of common shortcomings in the published assessments. We suggest better practices and urge future studies to focus on the quality of input data, its reporting, and associated uncertainties. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

11. Characterising sources of PM2·5 exposure for school children with asthma: a personal exposure study across six cities in sub-Saharan Africa

Author

Lim, Shanon, primary, Said, Bibie, additional, Zurba, Lindsay, additional, Mosler, Gioia, additional, Addo-Yobo, Emmanuel, additional, Adeyeye, Olayinka Olufunke, additional, Arhin, Bernard, additional, Evangelopoulos, Dimitris, additional, Fapohunda, Victoria Temitope, additional, Fortune, Farida, additional, Griffiths, Chris J, additional, Hlophe, Sbekezelo, additional, Kasekete, Marian, additional, Lowther, Scott, additional, Masekela, Refiloe, additional, Mkutumula, Elizabeth, additional, Mmbaga, Blandina Theophil, additional, Mujuru, Hilda Angela, additional, Nantanda, Rebecca, additional, Mzati Nkhalamba, Lovemore, additional, Ngocho, James S, additional, Ojo, Oluwafemi Tunde, additional, Owusu, Sandra Kwarteng, additional, Shaibu, Sunshine, additional, Ticklay, Ismail, additional, Grigg, Jonathan, additional, and Barratt, Benjamin, additional

Published
2023
Full Text
View/download PDF

16. Air pollution and respiratory health in patients with COPD: should we focus on indoor or outdoor sources?

Author

Evangelopoulos, Dimitris, Zhang, Hanbin, Chatzidiakou, Lia, Walton, Heather, Katsouyanni, Klea, Jones, Roderic L, Quint, Jennifer K, and Barratt, Benjamin

Abstract

IntroductionWhile associations between ambient air pollution and respiratory health in chronic obstructive pulmonary disease (COPD) patients are well studied, little is known about individuals’ personal exposure to pollution and associated health effects by source.AimTo separate measured total personal exposure into indoor-generated and outdoor-generated pollution and use these improved metrics in health models for establishing more reliable associations with exacerbations and respiratory symptoms.MethodsWe enrolled a panel of 76 patients with COPD and continuously measured their personal exposure to particles and gaseous pollutants and location with portable monitors for 134 days on average. We collected daily health information related to respiratory symptoms through diary cards and peak expiratory flow (PEF). Mixed-effects models were applied to quantify the relationship between total, indoor-generated and outdoor-generated personal exposures to pollutants with exacerbation and symptoms occurrence and PEF.ResultsExposure to nitrogen dioxide from both indoor and outdoor sources was associated with exacerbations and respiratory symptoms. We observed an increase of 33% (22%–45%), 19% (12%–18%) and 12% (5%–20%) in the odds of exacerbation for an IQR increase in total, indoor-generated and outdoor-generated exposures. For carbon monoxide, health effects were mainly attributed to indoor-generated pollution. While no associations were observed for particulate matter2.5with COPD exacerbations, indoor-generated particles were associated with a significant decrease in PEF.ConclusionsIndoor-generated and outdoor-generated pollution can deteriorate COPD patients’ health. Policy-makers, physicians and patients with COPD should note the importance of decreasing exposure equally to both source types to decrease risk of exacerbation.

Published
2024
Full Text
View/download PDF

17. Characterising sources of PM2·5exposure for school children with asthma: a personal exposure study across six cities in sub-Saharan Africa

Author

Lim, Shanon, Said, Bibie, Zurba, Lindsay, Mosler, Gioia, Addo-Yobo, Emmanuel, Adeyeye, Olayinka Olufunke, Arhin, Bernard, Evangelopoulos, Dimitris, Fapohunda, Victoria Temitope, Fortune, Farida, Griffiths, Chris J, Hlophe, Sbekezelo, Kasekete, Marian, Lowther, Scott, Masekela, Refiloe, Mkutumula, Elizabeth, Mmbaga, Blandina Theophil, Mujuru, Hilda Angela, Nantanda, Rebecca, Mzati Nkhalamba, Lovemore, Ngocho, James S, Ojo, Oluwafemi Tunde, Owusu, Sandra Kwarteng, Shaibu, Sunshine, Ticklay, Ismail, Grigg, Jonathan, and Barratt, Benjamin

Abstract

Air pollution is the second largest risk to health in Africa, and children with asthma are particularly susceptible to its effects. Yet, there is a scarcity of air pollution exposure data from cities in sub-Saharan Africa. We aimed to identify potential exposure reduction strategies for school children with asthma living in urban areas in sub-Saharan Africa.

Published
2024
Full Text
View/download PDF

19. Characterising Sources of PM 2.5 Exposure for School Children with Asthma in Six Sub-Saharan African Cities

Author

Lim, Shanon, primary, Said, Bibie, additional, Zurba, Lindsay, additional, Mosler, Gioia, additional, Addo-Yobo, Emmanuel OD, additional, Adeyeye, Olayinka Olufunke, additional, Arhin, Bernard, additional, Evangelopoulos, Dimitris, additional, Fapohunda, Victoria Temitope, additional, Fortune, Farida, additional, Griffiths, Christopher J., additional, Hlophe, Sbekezelo, additional, Kasekete, Marian, additional, Lowther, Scott, additional, Masekela, Refiloe, additional, Mkutumula, Elizabeth, additional, Mmbaga, Blandina T., additional, Mujuru, Hilda Angela, additional, Nantanda, Rebecca, additional, Nkhalamba, Lovemore Mzati, additional, Ngocho, James S., additional, Ojo, Oluwafemi Tunde, additional, Owusu, Sandra Kwarteng, additional, Shaibu, Sunshine, additional, Ticklay, Ismail, additional, Grigg, Jonathan, additional, and Barratt, Benjamin, additional

Published
2023
Full Text
View/download PDF

32. Measurement error and Regression Calibration method for multiple exposures: a Simulation study within the EXPANSE project

Author

Rodopoulou, Sophia, primary, Kasdagli, Maria-Iosifina, additional, Katsouyianni, Klea, additional, Evangelopoulos, Dimitris, additional, Ljungman, Petter, additional, Schwartz, Joel, additional, Butland, Barbara, additional, Chadeau-Hyam, Marc, additional, Vlaanderen, Jelle, additional, Vermeulen, Roel, additional, and Samoli, Evangelia, additional

Published
2022
Full Text
View/download PDF

41. Personal exposure to air pollution and respiratory health of COPD patients in London

Author

Evangelopoulos, Dimitris Chatzidiakou, Lia Walton, Heather and Katsouyanni, Klea Kelly, Frank J. Quint, Jennifer K. Jones, Roderic L. Barratt, Benjamin

Subjects
respiratory tract diseases
Abstract

Previous studies have investigated the effects of air pollution on chronic obstructive pulmonary disease (COPD) patients using either fixed site measurements or a limited number of personal measurements, usually for one pollutant and a short time period. These limitations may introduce bias and distort the epidemiological associations as they do not account for all the potential sources or the temporal variability of pollution. We used detailed information on individuals’ exposure to various pollutants measured at fine spatio-temporal scale to obtain more reliable effect estimates. A panel of 115 patients was followed up for an average continuous period of 128 days carrying a personal monitor specifically designed for this project that measured temperature, PM10, PM2.5, NO2, NO, CO and O-3 at one-minute time resolution. Each patient recorded daily information on respiratory symptoms and measured peak expiratory flow (PEF). A pulmonologist combined related data to define a binary variable denoting an “exacerbation”. The exposure-response associations were assessed with mixed-effects models. We found that gaseous pollutants were associated with a deterioration in patients’ health. We observed an increase of 16.4% (95% confidence interval: 8.6-24.6%), 9.4% (5.4-13.6%) and 7.6% (3.0-12.4%) in the odds of exacerbation for an interquartile range increase in NO2, NO and CO respectively. Similar results were obtained for cough and sputum. O-3 was found to have adverse associations with PEF and breathlessness. No association was observed between particles and any outcome. Our findings suggest that, when considering total personal exposure to air pollutants, mainly the gaseous pollutants affect COPD patients’ health.

Published
2021

42. Quantifying the short-term effects of air pollution on health in the presence of exposure measurement error: a simulation study of multi-pollutant model results

Author

Evangelopoulos, Dimitris Katsouyanni, Klea Schwartz, Joel and Walton, Heather

Abstract

Background Most epidemiological studies estimate associations without considering exposure measurement error. While some studies have estimated the impact of error in single-exposure models we aimed to quantify the effect of measurement error in multi-exposure models, specifically in time-series analysis of PM2.5, NO2, and mortality using simulations, under various plausible scenarios for exposure errors. Measurement error in multi-exposure models can lead to effect transfer where the effect estimate is overestimated for the pollutant estimated with more error to the one estimated with less error. This complicates interpretation of the independent effects of different pollutants and thus the relative importance of reducing their concentrations in air pollution policy. Methods Measurement error was defined as the difference between ambient concentrations and personal exposure from outdoor sources. Simulation inputs for error magnitude and variability were informed by the literature. Error-free exposures with their consequent health outcome and error-prone exposures of various error types (classical/Berkson) were generated. Bias was quantified as the relative difference in effect estimates of the error-free and error-prone exposures. Results Mortality effect estimates were generally underestimated with greater bias observed when low ratios of the true exposure variance over the error variance were assumed (27.4% underestimation for NO2). Higher ratios resulted in smaller, but still substantial bias (up to 19% for both pollutants). Effect transfer was observed indicating that less precise measurements for one pollutant (NO2) yield more bias, while the co-pollutant (PM2.5) associations were found closer to the true. Interestingly, the sum of single-pollutant model effect estimates was found closer to the summed true associations than those from multi-pollutant models, due to cancelling out of confounding and measurement error bias. Conclusions Our simulation study indicated an underestimation of true independent health effects of multiple exposures due to measurement error. Using error parameter information in future epidemiological studies should provide more accurate concentration-response functions.

Published
2021

47. Is daily exposure to ozone associated with respiratory morbidity and lung function in a representative sample of schoolchildren? Results from a panel study in Greece

Author

Samoli, Evangelia, primary, Dimakopoulou, Konstantina, additional, Evangelopoulos, Dimitris, additional, Rodopoulou, Sophia, additional, Karakatsani, Anna, additional, Veneti, Lambrini, additional, Sionidou, Maria, additional, Tsolakoglou, Ioannis, additional, Krasanaki, Ioanna, additional, Grivas, Georgios, additional, Papakosta, Despoina, additional, and Katsouyanni, Klea, additional

Published
2016
Full Text
View/download PDF

48. OP XII – 4 Simulation of multi-pollutant model results in the presence of measurement error

Author

Evangelopoulos, Dimitris, Katsouyanni, Klea, and Walton, Heather

Abstract

Background/aimAir pollution is a major public health concern. Multi-pollutant models are usually used in air pollution studies to identify the independent health effects of more than one pollutant. However, these model estimates can be unstable and biassed due to correlations between the exposures and exposure measurement error. Our goal is to assess and quantify this bias for PM2.5and NO2using simulations.MethodsA systematic review and meta-analysis on the differences between ambient concentrations and personal exposures only from outdoor origins was conducted. It has provided plausible values for the error structures to use as simulation input variables. Studies on building infiltration rates and activity patterns were reviewed and applied to total personal exposures for the calculation of personal exposure from outdoor sources. Then, hypothetical true and error-prone exposures of classical, Berkson and mixture types were created and the appropriate multi-pollutant models were fitted. Also, as a sensitivity analysis, we applied measurement error correction formulas (Regression Calibration and SIMEX) to check the effects of measurement error on real-life concentration-response functions.ResultsReview results indicate that ambient concentrations of PM2.5are greater than personal exposure from ambient sources, by an average of 5μg/m3. However, results present heterogeneity based on the area, climate and participants’ age. NO2work is under investigation. Regarding the simulation results, we confirm the findings from the literature. For classical error, bias is observed in our preliminary results, especially when the variance of the errors is relatively high. For Berkson type, the effect estimates were, as expected, not statistically significantly different from the true ones. We will update our results with better informed input variables from our review, to identify the true independent effects of the pollutants. Also, we will compare the results of SIMEX and Reg Calibration.ConclusionSimulations can lead to the quantification of the consequences of measurement error and adjusting for it can result in better model estimates. It may be inferred that certain potential interpretations are more unlikely than others. The ultimate aim of this work is to apply new understanding to the selection of concentration-response functions for health impact assessment.

Published
2018
Full Text
View/download PDF

50. PM 2.5 and NO 2 exposure errors using proxy measures, including derived personal exposure from outdoor sources: A systematic review and meta-analysis.

Author

Evangelopoulos D, Katsouyanni K, Keogh RH, Samoli E, Schwartz J, Barratt B, Zhang H, and Walton H

Subjects
Environmental Monitoring methods, Europe, Humans, Nitrogen Dioxide, North America, Particulate Matter, Air Pollutants, Air Pollution, Environmental Exposure
Abstract

Background: The use of proxy exposure estimates for PM 2.5 and NO 2 in air pollution studies instead of personal exposures, introduces measurement error, which can produce biased epidemiological effect estimates. Most studies consider total personal exposure as the gold standard. However, when studying the effects of ambient air pollution, personal exposure from outdoor sources is the exposure of interest., Objectives: We assessed the magnitude and variability of exposure measurement error by conducting a systematic review of the differences between personal exposures from outdoor sources and the corresponding measurements for ambient concentrations in order to increase understanding of the measurement error structures of the pollutants., Data Sources and Eligibility Criteria: We reviewed the literature (ISI Web of Science, Medline, 2000-2016) for English language studies (in any age group in any location (NO 2 ) or Europe and North America (PM 2.5 )) that reported repeated measurements over time both for personal and ambient PM 2.5 or NO 2 concentrations. Only a few studies reported personal exposure from outdoor sources. We also collected data for infiltration factors and time-activity patterns of the individuals in order to estimate personal exposures from outdoor sources in every study., Study Appraisal and Synthesis Methods: Studies using modelled rather than monitored exposures were excluded. Type of personal exposure monitor was assessed. Random effects meta-analysis was conducted to quantify exposure error as the mean difference between "true" and proxy measures., Results: Thirty-two papers for PM 2.5 and 24 for NO 2 were identified. Outdoor sources were found to contribute 44% (range: 33-55%) of total personal exposure to PM 2.5 and 74% (range: 57-88%) to NO 2 . Overall estimates of personal exposure (24-hour averages) from outdoor sources were 9.3 μg/m 3 and 12.0 ppb for PM 2.5 and NO 2 respectively, while the corresponding difference between these exposures and the ambient concentrations (i.e. the measurement error) was 5.72 μg/m 3 and 7.17 ppb. Our findings indicated also higher error variability for NO 2 than PM 2.5 . Large heterogeneity was observed which was not explained sufficiently by geographical location or age group of the study sample., Limitations, Conclusions and Implications of Key Findings: Relying only on information available in published studies led to some limitations: the contribution of outdoor sources to total personal exposure for NO 2 had to be inferred, individual variation in exposure misclassification was unavailable and instrument error could not be addressed. The larger magnitude and variability of errors for NO 2 compared with PM 2.5 has implications for biases in the health effect estimates of multi-pollutant epidemiological models. Results suggest that further research is needed regarding personal exposure studies and measurement error bias in epidemiological models., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results