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. Public Library of Science (PLoS).
Chicago Style (17th ed.) CitationTedijanto, Christine, et al. Predicting Future Community-level Ocular Chlamydia Trachomatis Infection Prevalence Using Serological, Clinical, Molecular, and Geospatial Data. Public Library of Science (PLoS), 2022.
MLA (9th ed.) CitationTedijanto, Christine, et al. Predicting Future Community-level Ocular Chlamydia Trachomatis Infection Prevalence Using Serological, Clinical, Molecular, and Geospatial Data. Public Library of Science (PLoS), 2022.
Warning: These citations may not always be 100% accurate.