COVID-19 : prediction, prevalence, and the operations of vaccine allocation
Amine Bennouna, Joshua Joseph, David Nze-Ndong, Georgia Perakis, Divya Singhvi, Omar Skali Lami, Yannis Spantidakis, Leann Thayaparan, Asterios Tsiourvas
| Year of publication: |
2023
|
|---|---|
| Authors: | Bennouna, Amine ; Joseph, Joshua ; Nze-Ndong, David ; Perakis, Georgia ; Singhvi, Divya ; Lami, Omar Skali ; Spantidakis, Yannis ; Thayaparan, Leann ; Tsiourvas, Asterios |
| Published in: |
Manufacturing & service operations management : M & SOM. - Linthicum, Md. : Informs, ISSN 1526-5498, ZDB-ID 2023273-1. - Vol. 25.2023, 3, p. 1013-1032
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| Subject: | COVID-19 | epidemiology | machine learning | prevalence | vaccine distribution | Coronavirus | Impfung | Vaccination | Künstliche Intelligenz | Artificial intelligence | Epidemie | Epidemic | Infektionsschutz | Infection control | Arzneimittel | Pharmaceuticals | Gesundheitspolitik | Health policy | Wirkungsanalyse | Impact assessment | Allokation | Allocation |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/msom.2022.1160 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014302832