Cite Them Right 11th edition - Harvard

Hilton, J., Riley, H., Pellis, L., Aziza, R., Brand, S.P.C., K. Kombe, I., Ojal, J., Parisi, A., Keeling, M.J., Nokes, D.J., Manson-Sawko, R. und House, T. (2022) „A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic.“, PLo S Computational Biology, 18(9), S. 1-38. doi:10.1371/journal.pcbi.1010390.

Chicago Manual of Style 17th edition (full note)

Hilton, Joe, Heather Riley, Lorenzo Pellis, Rabia Aziza, Samuel P. C. Brand, Ivy K. Kombe, John Ojal, Andrea Parisi, Matt J. Keeling, D. James Nokes, Robert Manson-Sawko, und Thomas House. „A Computational Framework for Modelling Infectious Disease Policy Based on Age and Household Structure With Applications to the COVID-19 Pandemic.“. PLo S Computational Biology 18, Nr. 9 (6. September 2022): 1-38. https://doi.org/10.1371/journal.pcbi.1010390.

American Psychological Association 7th edition

Hilton, J., Riley, H., Pellis, L., Aziza, R., Brand, S. P. C., K. Kombe, I., Ojal, J., Parisi, A., Keeling, M. J., Nokes, D. J., Manson-Sawko, R., & House, T. (2022). A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic. PLo S Computational Biology, 18(9), 1-38. https://doi.org/10.1371/journal.pcbi.1010390

Modern Language Association 9th edition

Hilton, J., H. Riley, L. Pellis, R. Aziza, S. P. C. Brand, I. K. Kombe, J. Ojal, A. Parisi, M. J. Keeling, D. J. Nokes, R. Manson-Sawko, und T. House. „A Computational Framework for Modelling Infectious Disease Policy Based on Age and Household Structure With Applications to the COVID-19 Pandemic.“. PLo S Computational Biology, Bd. 18, Nr. 9, September 2022, S. 1-38, https://doi.org/10.1371/journal.pcbi.1010390.

ISO-690 (author-date, Deutsch)

HILTON, Joe, Heather RILEY, Lorenzo PELLIS, Rabia AZIZA, Samuel P. C. BRAND, Ivy K. KOMBE, John OJAL, Andrea PARISI, Matt J. KEELING, D. James NOKES, Robert MANSON-SAWKO und Thomas HOUSE, 2022. A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic. PLo S Computational Biology. 6 September 2022. Bd. 18, Nr. 9, S. 1-38. DOI 10.1371/journal.pcbi.1010390

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.