Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.

Data Analytics for Predicting COVID-19 Cases in Top Affected Countries: Observations and Recommendations

Eltoukhy, A.E., Shaban, I.A., Chan, F.T.S., Abdel-Aal, M.A.M

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Peer Review Study

Data Collection and Analysis
Tools Included
Outside U.S.

Data Collection and Reporting

This article looks at traditional ways of reporting COVID-19 case data through a look at historical data and improves upon the methodology by analyzing both historical data and other external factors. The study team developed a nonlinear autoregressive exogenous input (NARX) neural network-based algorithm that, when compared to traditional data collection in other countries, offers more accurate and viable results.

Resource Details

Outcomes of Interest

Improve Data Infrastructure

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