AGGFORCLUS : a hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks : the COVID-19 case study
Milton Soto-Ferrari, Alejandro Carrasco-Pena and Diana Prieto
| Year of publication: |
2023
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|---|---|
| Authors: | Soto-Ferrari, Milton ; Carrasco-Pena, Alejandro ; Prieto, Diana |
| Published in: |
Journal of business analytics. - London : Taylor & Francis Group, ISSN 2573-2358, ZDB-ID 2907637-7. - Vol. 6.2023, 3, p. 217-242
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| Subject: | clustering | COVID-19 pandemic | mitigation plans strictness | risk assessment | time series forecasting | Coronavirus | Prognoseverfahren | Forecasting model | Epidemie | Epidemic | Zeitreihenanalyse | Time series analysis | Risikomanagement | Risk management | Wirkungsanalyse | Impact assessment |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/2573234X.2022.2122881 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014319354