Emerging
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

Release Date:

Peer Review Study

Data Collection and Analysis
Tools Included
Outside U.S.
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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

Priority Population(s)

Setting(s) of Implementation

Community

Geographic Area of Implementation

Implementation Period

2020