APA (7th ed.) Citation

McCarter, M. S. J., Self, S., Dye-Braumuller, K. C., Lee, C., Li, H., & Nolan, M. S. (2023). The utility of a Bayesian predictive model to forecast neuroinvasive West Nile virus disease in the United States of America, 2022. PLoS ONE, 18(9), 1. https://doi.org/10.1371/journal.pone.0290873

Chicago Style (17th ed.) Citation

McCarter, Maggie S. J., Stella Self, Kyndall C. Dye-Braumuller, Christopher Lee, Huixuan Li, and Melissa S. Nolan. "The Utility of a Bayesian Predictive Model to Forecast Neuroinvasive West Nile Virus Disease in the United States of America, 2022." PLoS ONE 18, no. 9 (2023): 1. https://doi.org/10.1371/journal.pone.0290873.

MLA (9th ed.) Citation

McCarter, Maggie S. J., et al. "The Utility of a Bayesian Predictive Model to Forecast Neuroinvasive West Nile Virus Disease in the United States of America, 2022." PLoS ONE, vol. 18, no. 9, 2023, p. 1, https://doi.org/10.1371/journal.pone.0290873.