Quantifying the effects of viral load on multistate COVID-19 infection and the progression of the Alpha and Omicron VOCs: a Bayesian competing Markov exponential regression model.

MLA

Yeh, Yen-Po, et al. “Quantifying the Effects of Viral Load on Multistate COVID-19 Infection and the Progression of the Alpha and Omicron VOCs: A Bayesian Competing Markov Exponential Regression Model.” Stochastic Environmental Research & Risk Assessment, vol. 38, no. 2, Feb. 2024, pp. 621–36. EBSCOhost, https://doi.org/10.1007/s00477-023-02590-2.

APA

Yeh, Y.-P., Yen, A. M.-F., Lin, T.-Y., Hsu, C.-Y., Chen, S. L.-S., & Chen, T. H.-H. (2024). Quantifying the effects of viral load on multistate COVID-19 infection and the progression of the Alpha and Omicron VOCs: a Bayesian competing Markov exponential regression model. Stochastic Environmental Research & Risk Assessment, 38(2), 621–636. https://doi.org/10.1007/s00477-023-02590-2

Chicago

Yeh, Yen-Po, Amy Ming-Fang Yen, Ting-Yu Lin, Chen-Yang Hsu, Sam Li-Sheng Chen, and Tony Hsiu-Hsi Chen. 2024. “Quantifying the Effects of Viral Load on Multistate COVID-19 Infection and the Progression of the Alpha and Omicron VOCs: A Bayesian Competing Markov Exponential Regression Model.” Stochastic Environmental Research & Risk Assessment 38 (2): 621–36. doi:10.1007/s00477-023-02590-2.