medRxiv preprint doi: https://doi.org/10.1101/2021.07.19.21260623; this version posted July 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . TITLE PAGE Title: Predicting future ocular Chlamydia trachomatis infection prevalence using serological, clinical, molecular, and geospatial data Authors: Christine Tedijanto1, Solomon Aragie2, Zerihun Tadesse2, Mahteme Haile3, Taye Zeru3, Scott D. Nash4, Dionna M. Wittberg1, Sarah Gwyn5, Diana L. Martin5, Hugh J.W. Sturrock6, Thomas M. Lietman1,7,8,9, Jeremy D. Keenan1,7, Benjamin F. Arnold1,7 Author affiliations: 1Francis I. Proctor Foundation, University of California, San Francisco, CA 94143; 2The Carter Center Ethiopia, Addis Ababa, Ethiopia; 3Amhara Public Health Institute, Bahir Dar, Ethiopia; 4The Carter Center, Atlanta, Georgia; 5Division of Parasitic Diseases and Malaria, Centers for Disease Control and Prevention, Atlanta, GA 30333; 6Locational, Poole, UK; 7Department of Ophthalmology, University of California, San Francisco, CA 94143; 8Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94143; 9Institute for Global Health Sciences, University of California, San Francisco, CA 94143; Corresponding author: Christine Tedijanto Email:
[email protected] Address: F.I. Proctor Foundation, 490 Illinois Street, San Francisco, CA 94107 Keywords: trachoma, epidemiology, serology, prediction, geospatial NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2021.07.19.21260623; this version posted July 22, 2021.