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Nithya Sathya Kumar 1 Article
COVID-19 prediction models: a systematic literature review
Sheikh Muzaffar Shakeel, Nithya Sathya Kumar, Pranita Pandurang Madalli, Rashmi Srinivasaiah, Devappa Renuka Swamy
Osong Public Health Res Perspect. 2021;12(4):215-229.   Published online August 13, 2021
DOI: https://doi.org/10.24171/j.phrp.2021.0100
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  • 3 Citations
AbstractAbstract PDF
As the world grapples with the problem of the coronavirus disease 2019 (COVID-19) pandemic and its devastating effects, scientific groups are working towards solutions to mitigate the effects of the virus. This paper aimed to collate information on COVID-19 prediction models. A systematic literature review is reported, based on a manual search of 1,196 papers published from January to December 2020. Various databases such as Google Scholar, Web of Science, and Scopus were searched. The search strategy was formulated and refined in terms of subject keywords, geographical purview, and time period according to a predefined protocol. Visualizations were created to present the data trends according to different parameters. The results of this systematic literature review show that the study findings are critically relevant for both healthcare managers and prediction model developers. Healthcare managers can choose the best prediction model output for their organization or process management. Meanwhile, prediction model developers and managers can identify the lacunae in their models and improve their data-driven approaches.

Citations

Citations to this article as recorded by  
  • Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan
    Berik Koichubekov, Aliya Takuadina, Ilya Korshukov, Anar Turmukhambetova, Marina Sorokina
    Healthcare.2023; 11(5): 752.     CrossRef
  • Predictive Models for Forecasting Public Health Scenarios: Practical Experiences Applied during the First Wave of the COVID-19 Pandemic
    Jose M. Martin-Moreno, Antoni Alegre-Martinez, Victor Martin-Gorgojo, Jose Luis Alfonso-Sanchez, Ferran Torres, Vicente Pallares-Carratala
    International Journal of Environmental Research an.2022; 19(9): 5546.     CrossRef
  • Artificial intelligence and clinical deterioration
    James Malycha, Stephen Bacchi, Oliver Redfern
    Current Opinion in Critical Care.2022; 28(3): 315.     CrossRef

PHRP : Osong Public Health and Research Perspectives