Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models.

MLA

Rosato, Conor, et al. “Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models.” Information (2078-2489), vol. 14, no. 3, Mar. 2023, p. 170. EBSCOhost, https://doi.org/10.3390/info14030170.

APA

Rosato, C., Moore, R. E., Carter, M., Heap, J., Harris, J., Storopoli, J., & Maskell, S. (2023). Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Information (2078-2489), 14(3), 170. https://doi.org/10.3390/info14030170

Chicago

Rosato, Conor, Robert E. Moore, Matthew Carter, John Heap, John Harris, Jose Storopoli, and Simon Maskell. 2023. “Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models.” Information (2078-2489) 14 (3): 170. doi:10.3390/info14030170.