Abstract
Desert dust transported from the Saharan-Sahel region to the Caribbean Sea is responsible for peak exposures of particulate matter (PM). This study explored the potential added value of satellite aerosol optical thickness (AOT) measurements, compared to the PM concentration at ground level, to retrospectively assess exposure during pregnancy. MAIAC MODIS AOT retrievals in blue band (AOT470) were extracted for the French Guadeloupe archipelago. AOT470 values and PM10 concentrations were averaged over pregnancy for 906 women (2005–2008). Regression modeling was used to examine the AOT470-PM10 relationship during pregnancy and test the association between dust exposure estimates and preterm birth. Moderate agreement was shown between mean AOT470 retrievals and PM10 ground-based measurements during pregnancy (R2 = 0.289). The magnitude of the association between desert dust exposure and preterm birth tended to be lower using the satellite method compared to the monitor method. The latter remains an acceptable trade-off between epidemiological relevance and exposure misclassification, in areas with few monitoring stations and complex topographical/meteorological conditions, such as tropical islands.
Original language | English |
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Journal | Environmental Science and Pollution Research |
Volume | 28 |
Issue number | 14 |
Pages (from-to) | 17675-17683 |
Number of pages | 9 |
ISSN | 0944-1344 |
DOIs | |
Publication status | Published - 2021 |
Externally published | Yes |
Bibliographical note
Funding Information:The authors are grateful to Yujie Wang and Alexei Lyapustin from the NASA Center for Climate Simulations for providing MCD19A2 data and valuable advice. The authors thank the gynecologists, obstetricians, ultra-sonographers, midwives, pediatricians, and families who participated in the TIMOUN study. BrumiSaTerre research group: Gulen Ayhan, Séverine Ferdinand, Céline Garbin, Stéphanie Guyomard, Philippe Kadhel, Fabien Mercier, Léah Michineau, Luc Multigner, Philippe Quénel, Christian Raghoumandan, Antoine Talarmin, Stéphane Tuffier, Erika Upegui, and Jean-Francois Viel.
Funding Information:
This work was funded by the French National Research Program for Environmental and Occupational Health of ANSES (EST-2016/1/015).
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.
Keywords
- Aerosol optical thickness
- Desert dust
- Epidemiology
- MAIAC algorithm
- Particulate matter ≤ 10 μm
- Satellite imagery