The tool, called the Ebola Prediction Score, uses six Ebola symptoms — exposure to an Ebola patient, diarrhea, loss of appetite, muscle pain, difficulty swallowing and absence of abdominal pain — to create the model, and clinicians score patients based on those signs.
“The Ebola Prediction Score will help clinicians risk-stratify patients already meeting one or more suspect definitions of [Ebola virus disease],” said Dr. Levine.
Dr. Levine’s research was published in the Annals of Emergency Medicine.
More articles on Ebola:
Does Ebola planning prepare hospitals for reality of treating patients?
HHS awards $12M to BioCryst for development of Ebola drug
Condition of NIH’s Ebola patient improves again
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