Combining satellite remote sensing, chemical transport modeling, and land use regression models to estimate long term trends in global burden of NO2 on pediatric asthma incidence

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    W[2019AGUFMGH21B1200M]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (5)"]
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ADS bibcode
2019AGUFMGH21B1200M
year
2019
Listed Authors
Mohegh, M.
Anenberg, S.
Brauer, M.
Duncan, B. N.
Goldberg, D. L.
Hystad, P.
Lamsal, L. N.
Listed Institutions
Public Health, George Washington University, Washington, DC, United States
Environmental Health Analytics, Washington, DC, United States
School of Population and Public Health, University of British Columbia, Vancouver, BC, Canada
NASA GSFC, Greenbelt, MD, United States
University of Maryland, College Park, MD, United States
University of Oregon, Eugene, United States
NASA Goddard Space Flight Ctr., Greenbelt, MD, United States

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