Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic

doi:10.12998/wjcc.v11.i29.6974

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Oct 16, 2023 (publication date) through Nov 21, 2024

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. Oct 16, 2023; 11(29): 6974-6983
Published online Oct 16, 2023. doi: 10.12998/wjcc.v11.i29.6974

Table 2 Regression models with Auto-Regressive Integrated Moving Average (0, 1, 1) errors-Model I-overall mortality and coronavirus disease 2019

Coefficient	Estimate	Standard error
Cases L1	0.0348	0.0103
Cases L2	0.0394	0.0105
Variants L1	106.4794	134.3759
Variants L2	96.3354	134.5631
MA1	0.2594	0.1100
R²	0.953
RMSE	188.83
Bias	-2.632
MAPE	0.152

RMSE: Root mean square error; MAPE: Mean absolute percentage error.

Citation: Tomov L, Chervenkov L, Miteva DG, Batselova H, Velikova T. Applications of time series analysis in epidemiology: Literature review and our experience during COVID-19 pandemic. World J Clin Cases 2023; 11(29): 6974-6983
URL: https://www.wjgnet.com/2307-8960/full/v11/i29/6974.htm
DOI: https://dx.doi.org/10.12998/wjcc.v11.i29.6974