Gianquintieri, L.; Brovelli, M.A.; Pagliosa, A.; Dassi, G.; Brambilla, P.M.; Bonora, R.; Sechi, G.M.; Caiani, E.G.
Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning. Int. J. Environ. Res. Public Health 2022, 19, 9012.
https://doi.org/10.3390/ijerph19159012
AMA Style
Gianquintieri L, Brovelli MA, Pagliosa A, Dassi G, Brambilla PM, Bonora R, Sechi GM, Caiani EG.
Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning. International Journal of Environmental Research and Public Health. 2022; 19(15):9012.
https://doi.org/10.3390/ijerph19159012
Chicago/Turabian Style
Gianquintieri, Lorenzo, Maria Antonia Brovelli, Andrea Pagliosa, Gabriele Dassi, Piero Maria Brambilla, Rodolfo Bonora, Giuseppe Maria Sechi, and Enrico Gianluca Caiani.
2022. "Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning" International Journal of Environmental Research and Public Health 19, no. 15: 9012.
https://doi.org/10.3390/ijerph19159012
APA Style
Gianquintieri, L., Brovelli, M. A., Pagliosa, A., Dassi, G., Brambilla, P. M., Bonora, R., Sechi, G. M., & Caiani, E. G.
(2022). Generating High-Granularity COVID-19 Territorial Early Alerts Using Emergency Medical Services and Machine Learning. International Journal of Environmental Research and Public Health, 19(15), 9012.
https://doi.org/10.3390/ijerph19159012