Modelling the persistence of Covid-19 positivity rate in Italy
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DOI: 10.1016/j.seps.2022.101225
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Cited by:
- Bucci, Andrea & Sanmarchi, Francesco & Santi, Luca & Golinelli, Davide, 2024. "Evaluating the nonlinear association between PM10 and emergency department visits," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
- Ciardiello, Francesco & Di Lorenzo, Emilia & Menzietti, Massimiliano & Sibillo, Marilena, 2024. "Securitization for common health," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
- Soltanisehat, Leili & González, Andrés D. & Barker, Kash, 2023. "Modeling social, economic, and health perspectives for optimal pandemic policy decision-making," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
- Gong, Jiangyue & Gujjula, Krishna Reddy & Ntaimo, Lewis, 2023. "An integrated chance constraints approach for optimal vaccination strategies under uncertainty for COVID-19," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
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More about this item
Keywords
HAR; ARIMA; Covid-19; Positivity Rate; Forecasting;All these keywords.
JEL classification:
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
Statistics
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