In this project, a 30-day, four-state Markov cohort model was developed to evaluate the cost-effectiveness of an AI-based early sepsis detection system compared with standard-of-care management guided primarily by the Sequential Organ Failure Assessment (SOFA) score.

Multi-level meta-analysis modeling with metafor package

The Yale Institute for Global Health (YIGH) which was established on July 2019 aiming to to speed the translation of new scientific discoveries into better health for all. YIGH fosters interdisciplinary research collaboration among Yale faculty and across international partners. At this project we are mapping the change in research collaboration between YIGH members since establishing YIGH and ten years before. 1-We will visualize co-authorship collaboration across years. 2-We will measure the cohesion of YIGH network over years by calculating the density of the network over years.