APA (7th ed.) Citation

Han, Y., Lam, J. C. K., Li, V. O. K., & Crowcroft, J. Interpretable AI-driven causal inference to uncover the time-varying effects of PM2.5 and public health interventions on COVID-19 infection rates. Springer Nature.

Chicago Style (17th ed.) Citation

Han, Yang, Jacqueline C. K. Lam, Victor O. K. Li, and Jon Crowcroft. Interpretable AI-driven Causal Inference to Uncover the Time-varying Effects of PM2.5 and Public Health Interventions on COVID-19 Infection Rates. Springer Nature.

MLA (9th ed.) Citation

Han, Yang, et al. Interpretable AI-driven Causal Inference to Uncover the Time-varying Effects of PM2.5 and Public Health Interventions on COVID-19 Infection Rates. Springer Nature.