Microsimulation based quantitative analysis of COVID-19 management strategies.

MLA

Reguly, István Z., et al. “Microsimulation Based Quantitative Analysis of COVID-19 Management Strategies.” PLoS Computational Biology, vol. 18, no. 1, Jan. 2022, p. e1009693. EBSCOhost, https://doi.org/10.1371/journal.pcbi.1009693.

APA

Reguly, I. Z., Csercsik, D., Juhász, J., Tornai, K., Bujtár, Z., Horváth, G., Keömley-Horváth, B., Kós, T., Cserey, G., Iván, K., Pongor, S., Szederkényi, G., Röst, G., & Csikász-Nagy, A. (2022). Microsimulation based quantitative analysis of COVID-19 management strategies. PLoS Computational Biology, 18(1), e1009693. https://doi.org/10.1371/journal.pcbi.1009693

Chicago

Reguly, István Z, Dávid Csercsik, János Juhász, Kálmán Tornai, Zsófia Bujtár, Gergely Horváth, Bence Keömley-Horváth, et al. 2022. “Microsimulation Based Quantitative Analysis of COVID-19 Management Strategies.” PLoS Computational Biology 18 (1): e1009693. doi:10.1371/journal.pcbi.1009693.