Developing and validating a risk algorithm to diagnose Neisseria gonorrhoeae and Chlamydia trachomatis in symptomatic Rwandan women

Developing and validating a risk algorithm to diagnose Neisseria gonorrhoeae and Chlamydia trachomatis in symptomatic Rwandan women

Abstract Background Algorithms that bridge the gap between syndromic sexually transmitted infection (STI) management and treatment based in realistic diagnostic options and local epidemiology are urgently needed across Africa. Our objective was to develop and validate a risk algorithm for Neisseria...

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Bibliographic Details
Main Authors: Kristin M. Wall, Julien Nyombayire, Rachel Parker, Rosine Ingabire, Jean Bizimana, Jeannine Mukamuyango, Amelia Mazzei, Matt A. Price, Marie Aimee Unyuzimana, Amanda Tichacek, Susan Allen, Etienne Karita
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Infectious Diseases
Subjects:
Neisseria gonorrhoeae
Chlamydia trachomatis
Rwanda
Risk algorithm
Online Access:https://doi.org/10.1186/s12879-021-06073-z

Internet

https://doi.org/10.1186/s12879-021-06073-z

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