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What are the most important variables for Poaceae airborne pollen forecasting?
Sci Total Environ. 2017 Feb 1;579:1161-1169. doi: 10.1016/j.scitotenv.2016.11.096. Epub 2016 Dec 5.
Sci Total Environ. 2017.
PMID: 27932221
Direct assessment of health impacts on hospital admission from traffic intensity in Madrid.
Navares R, Diaz J, Aznarte JL, Linares C.
Navares R, et al.
Environ Res. 2020 May;184:109254. doi: 10.1016/j.envres.2020.109254. Epub 2020 Feb 25.
Environ Res. 2020.
PMID: 32126373
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Predicting the Poaceae pollen season: six month-ahead forecasting and identification of relevant features.
Navares R, Aznarte JL.
Navares R, et al.
Int J Biometeorol. 2017 Apr;61(4):647-656. doi: 10.1007/s00484-016-1242-8. Epub 2016 Sep 16.
Int J Biometeorol. 2017.
PMID: 27633563
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