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General Framework for Evaluating Outbreak Prediction, Detection, and Annotation Algorithms

2022-03-18

Abstract excerpt

The COVID-19 pandemic has highlighted and accelerated the use of algorithmic-decision support for public health. The latter’s potential impact and risk of bias and harm urgently call for scrutiny and evaluation standards. One example is the early detection of local infectious disease outbreaks. Whereas many statistical models have been proposed and disparate systems are routinely used, each tai-lored to specific d...

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Literature Corpus work
9f1a942d-6a11-5866-b209-a872de6169cb
DOI
10.1101/2022.03.16.22272469
Open publication

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General Framework for Evaluating Outbreak Prediction, Detection, and Annotation AlgorithmsDOI 10.1101/2022.03.16.22272469
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