Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comment
. 2022 Jun;130(6):68001.
doi: 10.1289/EHP11385. Epub 2022 Jun 2.

Comment on "Deep Ensemble Machine Learning Framework for the Estimation of PM2.5 Concentrations"

Massimo Stafoggia  1 , Giorgio Cattani  2 , Carla Ancona  1 , Antonio Gasparrini  3 , Andrea Ranzi  4
Affiliations
Comment

Comment on "Deep Ensemble Machine Learning Framework for the Estimation of PM2.5 Concentrations"

Massimo Stafoggia et al. Environ Health Perspect. 2022 Jun.
No abstract available

PubMed Disclaimer

Figures

A map of Italy with dots showing the location of each monitoring site.
Figure 1.
Map of the 289 PM2.5 monitoring sites available in Italy during 2016–2019 PM2.5.
See this image and copyright information in PMC

Comment in

Comment on

References

    1. Yu W, Li S, Ye T, Xu R, Song J, Guo Y. 2022. Deep ensemble machine learning framework for the estimation of PM2.5 concentrations. Environ Health Perspect 130(3):37004, PMID: , 10.1289/EHP9752. - DOI - PMC - PubMed
    1. Stafoggia M, Schwartz J, Badaloni C, Bellander T, Alessandrini E, Cattani G, et al. 2017. Estimation of daily PM10 concentrations in Italy (2006–2012) using finely resolved satellite data, land use variables and meteorology. Environ Int 99:234–244, PMID: , 10.1016/j.envint.2016.11.024. - DOI - PubMed
    1. Stafoggia M, Bellander T, Bucci S, Davoli M, de Hoogh K, De’Donato F, et al. 2019. Estimation of daily PM10 and PM2.5 concentrations in Italy, 2013–2015, using a spatiotemporal land-use random-forest model. Environ Int 124:170–179, PMID: , 10.1016/j.envint.2019.01.016. - DOI - PubMed
    1. Stafoggia M, Cattani G, Ancona C, Ranzi A. 2020. Exposure assessment of air pollution in Italy 2016–2019 for future studies on air pollution and COVID-19. [In Italian.] Epidemiol Prev 44(5–6 suppl 2):161–168, PMID: , 10.19191/EP20.5-6.S2.115. - DOI - PubMed
    1. Shtein A, Kloog I, Schwartz J, Silibello C, Michelozzi P, Gariazzo C, et al. 2020. Estimating daily PM2.5 and PM10 over Italy using an ensemble model. Environ Sci Technol 54(1):120–128, PMID: , 10.1021/acs.est.9b04279. - DOI - PubMed

LinkOut - more resources