APA (7th ed.) Citation

Tedijanto, C., Aragie, S., Tadesse, Z., Haile, M., Zeru, T., Nash, S. D., . . . Arnold, B. F. (2022). Predicting future community-level ocular Chlamydia trachomatis infection prevalence using serological, clinical, molecular, and geospatial data. PLoS neglected tropical diseases, 16(3), e0010273. https://doi.org/10.1371/journal.pntd.0010273

Chicago Style (17th ed.) Citation

Tedijanto, Christine, et al. "Predicting Future Community-level Ocular Chlamydia Trachomatis Infection Prevalence Using Serological, Clinical, Molecular, and Geospatial Data." PLoS Neglected Tropical Diseases 16, no. 3 (2022): e0010273. https://doi.org/10.1371/journal.pntd.0010273.

MLA (9th ed.) Citation

Tedijanto, Christine, et al. "Predicting Future Community-level Ocular Chlamydia Trachomatis Infection Prevalence Using Serological, Clinical, Molecular, and Geospatial Data." PLoS Neglected Tropical Diseases, vol. 16, no. 3, 2022, p. e0010273, https://doi.org/10.1371/journal.pntd.0010273.