Additional information about this study can be found through Grand Challenges Canada on this webpage.

In young babies, bacterial infections cause severe illness and are often life-threatening. To avoid a catastrophic outcome, doctors depend on their experience and blood tests to determine the type of infection, whether it is from a bacteria or not, but despite these tests identifying a critically ill baby can be challenging, especially given the lack of diagnostic and monitoring technologies in low- and middle-income countries.

Our goal is to develop a decision algorithm that integrates clinical data to identify which baby needs immediate antibiotic treatment when a severe infection is suspected, based on their chance of having a bacterial infection and of becoming imminently ill from that infection. To fine-tune our prediction model, we will use a customized blood test that has higher accuracy in confirming the type of infection. Our long-term goal is to use this prediction algorithm to develop a smart phone app that intelligently interprets clinical information including vital sign measures to help doctors make the right treatment decisions in babies with infections, promptly and while avoiding errors.
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Oct 28, 2020
Popescu, Constantin; Tembo, Bentry; Chifisi, Rhoda; Cavanagh, Miranda; Chiluzi, Blessings; Lufesi, Norman; Chiume-Kayuni, Msandeni; Lavoie, Pascal, 2020, "Procedure policies, data collection form and model consent form (supplemental material)~Improving the Early Diagnosis of Neonatal Sepsis in Malawi",, Borealis, V2
Supplemental material (procedure policies, data collection form and model consent form for improving the early diagnosis of neonatal sepsis in Malawi study).
Aug 5, 2020
Dunsmuir, Dustin, 2020, "MalawiVitals Android App for Study Data Collection (app)~Improving the early diagnosis of neonatal sepsis in Malawi",, Borealis, V1
This is the data collection Android app for the Improving the Early Diagnosis of Neonatal Sepsis in Malawi study. The app is used to collect vital signs data from neonates at multiple time points. Survey field values can be entered via onscreen keypad and respiratory rate (via ta...
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