Dirk Keidel
Biographic Data
| ID | 7827045 |
|---|---|
| NAME | Dirk Keidel |
| GIVEN NAMES | Dirk |
| FAMILY NAME | Keidel |
| SIGNATURE | KEIDEL D |
| AFFILIATIONS | Swiss Tropical and Public Health Institute |
| ORCID | 0000-0003-4706-5728 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Changes in socioeconomic resources and mental health after the second Covid-19 wave (2020–2021)
This study confirms the association of economic stressors and mental health during the COVID-19 pandemic and highlights the exacerbating role of subjective risk perception on this association
The Role of Socioeconomic Status in the Association of Lung Function and Air Pollution—A Pooled Analysis of Three Adult Escape Cohorts
Ambient air pollution is a leading environmental risk factor and its broad spectrum of adverse health effects includes a decrease in lung function. Socioeconomic status (SES) is known to be associated with both air pollution exposure and respiratory function. This study assesses the role of SES either as confounder or effect modifier of the association between ambient air pollution and lung function. Cross-sectional data from three European multi…
Development of Land Use Regression Models for PM 2.5 , PM 2.5 Absorbance, PM 10 and PM coarse in 20 European Study Areas; Results of the Escape Project
Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use)…
No prominent works on this page.
Development of Land Use Regression Models for PM 2.5 , PM 2.5 Absorbance, PM 10 and PM coarse in 20 European Study Areas; Results of the Escape Project
Land Use Regression (LUR) models have been used increasingly for modeling small-scale spatial variation in air pollution concentrations and estimating individual exposure for participants of cohort studies. Within the ESCAPE project, concentrations of PM(2.5), PM(2.5) absorbance, PM(10), and PM(coarse) were measured in 20 European study areas at 20 sites per area. GIS-derived predictor variables (e.g., traffic intensity, population, and land-use)…
The Role of Socioeconomic Status in the Association of Lung Function and Air Pollution—A Pooled Analysis of Three Adult Escape Cohorts
Ambient air pollution is a leading environmental risk factor and its broad spectrum of adverse health effects includes a decrease in lung function. Socioeconomic status (SES) is known to be associated with both air pollution exposure and respiratory function. This study assesses the role of SES either as confounder or effect modifier of the association between ambient air pollution and lung function. Cross-sectional data from three European multi…
Changes in socioeconomic resources and mental health after the second Covid-19 wave (2020–2021)
This study confirms the association of economic stressors and mental health during the COVID-19 pandemic and highlights the exacerbating role of subjective risk perception on this association
Environmental health (3 works) · Medicine (3 works) · Population (3 works) · Air pollution (2 works) · Air Quality and Health Impacts (2 works) · Demography (2 works) · Demography (2 works) · Socioeconomic status (2 works) · Air Quality Monitoring and Forecasting (1 work) · Anxiety (1 work)