Petros Koutrakis
Harvard University
641 Papers
3K Citations
Petros Koutrakis is an academic researcher from Harvard University. The author has contributed to research in topics: Medicine & Environmental exposure. The author has an hindex of 88, co-authored 519 publications. Previous affiliations of Petros Koutrakis include Boston University & Research Triangle Park.
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Papers
Associations between solar and geomagnetic activity and peripheral white blood cells in the Normative Aging Study
Samantha M. Tracy,Carolina L.Z. Vieira,Eric Garshick,Veronica A. Wang,Barrak Alahmad,Ryan Eid,Joel Schwartz,Jessica E. Schiff,Pantel S. Vokonas,Petros Koutrakis +9 more
TL;DR: In this paper, the authors investigated the association between solar geomagnetic activity and white blood cell counts in the National Normative Aging Study (NAS) Cohort between 2000 and 2013 and found consistent significant associations between IMF, SSN, and Kp index with reductions in total WBC, neutrophils, and basophil counts.
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The effect of short-term changes in air pollution on respiratory and cardiovascular morbidity in Nicosia, Cyprus.
Nicos Middleton,Panayiotis K. Yiallouros,Savvas Kleanthous,Ourania Kolokotroni,Joel Schwartz,Douglas W. Dockery,Philip Demokritou,Petros Koutrakis +7 more
- 01 Jan 2007
TL;DR: Presented at the 6th International Conference on Urban Air Quality, Limassol, March, 2007 and appears in proceedings of the conference.
Racial Disparities in Associations between Neighborhood Demographic Polarization and Birth Weight.
Kelvin C. Fong,Maayan Yitshak-Sade,Kevin J Lane,M. Patricia Fabian,Itai Kloog,Joel Schwartz,Brent A. Coull,Petros Koutrakis,Jaime E. Hart,Francine Laden,Antonella Zanobetti +10 more
TL;DR: Racial and economic polarization towards more privileged groups was associated with healthier birth weight outcomes, with greater estimated effects in babies that were born to white mothers than those born to black mothers.
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The influence of spatial patterning on modeling PM2.5 constituents in Eastern Massachusetts
TL;DR: It is suggested that areas representing clusters of PM2.5 elements are potential predictor variables to be included in spatial models for particle composition, and the inclusion of these clusters may minimize the exposure misclassification.
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