APA (7th ed.) Citation

G, L. I., AJC, C., G, D., LE, F., N, F., EL, G., . . . G, N. (2024). A mathematical, classical stratification modeling approach to disentangling the impact of weather on infectious diseases: A case study using spatio-temporally disaggregated Campylobacter surveillance data for England and Wales. PLoS computational biology, 20(1), e1011714. https://doi.org/10.1371/journal.pcbi.1011714

Chicago Style (17th ed.) Citation

G, Lo Iacono, et al. "A Mathematical, Classical Stratification Modeling Approach to Disentangling the Impact of Weather on Infectious Diseases: A Case Study Using Spatio-temporally Disaggregated Campylobacter Surveillance Data for England and Wales." PLoS Computational Biology 20, no. 1 (2024): e1011714. https://doi.org/10.1371/journal.pcbi.1011714.

MLA (9th ed.) Citation

G, Lo Iacono, et al. "A Mathematical, Classical Stratification Modeling Approach to Disentangling the Impact of Weather on Infectious Diseases: A Case Study Using Spatio-temporally Disaggregated Campylobacter Surveillance Data for England and Wales." PLoS Computational Biology, vol. 20, no. 1, 2024, p. e1011714, https://doi.org/10.1371/journal.pcbi.1011714.