References¶
- pyp
Python package index - pypi. URL: https://pypi.org/ (visited on 2021-03-28).
- APBT20
Amanuel Alambo, Swati Padhee, Tanvi Banerjee, and Krishnaprasad Thirunarayan. COVID-19 and mental health/substance use disorders on reddit: A longitudinal study. CoRR, 2020. URL: https://arxiv.org/abs/2011.10518, arXiv:2011.10518.
- ASL+21
Nicole M. Avena, Julia Simkus, Anne Lewandowski, Mark S. Gold, and Marc N. Potenza. Substance use disorders and behavioral addictions during the covid-19 pandemic and covid-19-related restrictions. Frontiers in Psychiatry, 12:433, 2021. URL: https://www.frontiersin.org/article/10.3389/fpsyt.2021.653674, doi:10.3389/fpsyt.2021.653674.
- GHSS21
Osea Giuntella, Kelly Hyde, Silvia Saccardo, and Sally Sadoff. Lifestyle and mental health disruptions during covid-19. Proceedings of the National Academy of Sciences, 2021. URL: https://www.pnas.org/content/118/9/e2016632118, arXiv:https://www.pnas.org/content/118/9/e2016632118.full.pdf, doi:10.1073/pnas.2016632118.
- LRT+20
Daniel M Low, Laurie Rumker, John Torous, Guillermo Cecchi, Satrajit S Ghosh, and Tanya Talkar. Natural language processing reveals vulnerable mental health support groups and heightened health anxiety on reddit during covid-19: observational study. Journal of medical Internet research, 22(10):e22635, 2020.
- pdt20
The pandas development team. Pandas-dev/pandas: pandas. February 2020. URL: https://doi.org/10.5281/zenodo.3509134, doi:10.5281/zenodo.3509134.
- VGO+20
Pauli Virtanen, Ralf Gommers, Travis E. Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J. van der Walt, Matthew Brett, Joshua Wilson, K. Jarrod Millman, Nikolay Mayorov, Andrew R. J. Nelson, Eric Jones, Robert Kern, Eric Larson, C J Carey, İlhan Polat, Yu Feng, Eric W. Moore, Jake VanderPlas, Denis Laxalde, Josef Perktold, Robert Cimrman, Ian Henriksen, E. A. Quintero, Charles R. Harris, Anne M. Archibald, Antônio H. Ribeiro, Fabian Pedregosa, Paul van Mulbregt, and SciPy 1.0 Contributors. SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python. Nature Methods, 17:261–272, 2020. doi:10.1038/s41592-019-0686-2.