Assembling a global database of child pneumonia studies to inform WHO pneumonia management algorithm: Methodology and applications

This is the authors' abstract. We don't add key points for this paper.

This data set could identify an improved specific, sensitive set of criteria for diagnosing clinical pneumonia and help identify sick children in need of referral to a higher level of care or a change of therapy. Field studies could be designed based on insights from PREPARE analyses to validate a potential revised pneumonia algorithm. The PREPARE methodology can also act as a model for disease database assembly.