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, Weiguo Song
| Year of publication: |
2022
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|---|---|
| Authors: | Huang, Chuanli ; Wang, Min ; Rafaqat, Warda ; Shabbir, Salman ; Lian, Liping ; Zhang, Jun ; Lo, Siuming ; Song, Weiguo |
| Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 80.2022, p. 1-11
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| Subject: | COVID-19 | Logistic regression | Machine learning | Policy making | Spatial analysis | Test strategy | Time series analysis | Künstliche Intelligenz | Artificial intelligence | Coronavirus | Pakistan | Zeitreihenanalyse |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.seps.2021.101091 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013191221