Upper Respiratory Infection

This observational diagnostic validation study aims to evaluate the clinical performance of novel lateral flow and microfluidic-based technologies for the detection of upper and lower respiratory tract infections in children and adults presenting with respiratory symptoms in Uganda, Ethiopia, and Senegal. The main questions it aims to answer are: 1. whether the novel multiplex lateral flow tests and point-of-care microfluidic platform demonstrate sufficient sensitivity and specificity for detecting respiratory pathogens compared with standard laboratory reference methods, and 2. whether these technologies are feasible and usable in low-resource clinical settings. Participants presenting with suspected respiratory tract infections as part of routine clinical care will provide respiratory and blood samples for diagnostic testing and biobanking, and demographic and clinical information will be collected during a single study visit. Some adult participants and community stakeholders will also complete surveys or interviews regarding the acceptability of biobanking and diagnostic implementation.

Ear infections are common in young children with cold symptoms, but they can be difficult to diagnose due to small ear canals, child movement, and limited viewing time. In this study, investigators will take photos of the eardrums of children 6-24 months of age with upper respiratory symptoms. The photos will be reviewed by imaging software enhanced with artificial intelligence (AI app) to determine whether the AI app changes how ear infections are diagnosed and treated. The AI app has undergone rigorous study and was found to be highly accurate; but how using this technology affects the diagnosis and treatment by clinicians has not been studied. This research may help improve diagnostic accuracy for ear infections and ensure antibiotics are prescribed only for those children who have definite ear infections.