Cita APA (7a ed.)
Magazzino, C., Mele, M., & Schneider, N. (2022). Assessing a fossil fuels externality with a new neural networks and image optimisation algorithm: The case of atmospheric pollutants as confounders to COVID-19 lethality. Epidemiology & Infection, 150, 1-17.
Cita Chicago Style (17a ed.)
Magazzino, Cosimo, Marco Mele, y Nicolas Schneider. "Assessing a Fossil Fuels Externality with a New Neural Networks and Image Optimisation Algorithm: The Case of Atmospheric Pollutants as Confounders to COVID-19 Lethality." Epidemiology & Infection 150 (2022): 1-17.
Cita MLA (9a ed.)
Magazzino, Cosimo, et al. "Assessing a Fossil Fuels Externality with a New Neural Networks and Image Optimisation Algorithm: The Case of Atmospheric Pollutants as Confounders to COVID-19 Lethality." Epidemiology & Infection, vol. 150, 2022, pp. 1-17.
Precaución: Estas citas no son 100% exactas.