The United Nations Millennium Development Goal number four commits to reducing child mortality by two thirds before 2015. However, worldwide, eight million children under the age of five die annually. The majority of these deaths occur in resource-poor countries and are a result of a condition called sepsis. Sepsis usually occurs following severe infections, when the body's immune defences begin to cause harm, leading to death if left untreated. Most infectious diseases including pneumonia, diarrheal diseases and malaria, when severe, result in sepsis. Studies from Kenya have shown that among children admitted to hospital with a severe infection, more children die within the two-month period after leaving the hospital than during their hospital stay. While there are a number of studies regarding hospital treatment, no studies have been conducted to investigate predictors of death after leaving the hospital. Knowledge of these predictors can help to identify which children are in the high- and low-risk groups and thus enabling closer monitoring of high-risk children following discharge. These risk predictors can also be used in clinical trial design so that treatments can be developed, tested, and eventually implemented to reduce sepsis-related deaths following hospitalization. The goal of Dr. Matthew Wiens’ research is to identify predictors of child death from sepsis after leaving the hospital. To do this, he will study a group of children under the age of five who were hospitalized for sepsis at two hospitals in the Mbarara district of Uganda (the Mbarara University Hospital and the Holy Innocents Children's Hospital). During the hospitalization phase he will collect information on a series of characteristics such as the type and severity of infection, nutritional status, maternal education, access to clean water and many other potential predictors. During the six month follow-up phase after hospitalization the health outcomes of these children will be determined. Using these predictors, Dr. Wiens along with his supervisor and team of researchers will create a scoring system that allows doctors to identify children who at high and low risk of death after discharge and intervene accordingly. Understanding the factors that are likely to influence a child's long-term health outcome after leaving the hospital will help in the development and implementation of effective interventions to reduce childhood mortality in the developing world.