Data-driven test strategy for COVID-19 using machine learning: A study in Lahore, Pakistan

Chuanli Huang, Min Wang, Warda Rafaqat, Salman Shabbir, Liping Lian, Jun Zhang, Siuming Lo and Weiguo Song

Socio-Economic Planning Sciences, 2022, vol. 80, issue C

Abstract: We aimed at giving a preliminary analysis of the weakness of a current test strategy, and proposing a data-driven strategy that was self-adaptive to the dynamic change of pandemic. The effect of driven-data selection over time and space was also within the deep concern.

Keywords: COVID-19; Test strategy; Policy making; Machine learning; Logistic regression; Time series analysis; Spatial analysis (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:80:y:2022:i:c:s0038012121000835

DOI: 10.1016/j.seps.2021.101091

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