Linear and nonlinear effects explaining the risk of Covid-19 infection : an empirical analysis on real data from the USA
Francesco Giordano, Sara Milito, Maria Lucia Parrella
| Year of publication: |
2023
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| Authors: | Giordano, Francesco ; Milito, Sara ; Parrella, Maria Lucia |
| Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 90.2023, p. 1-8
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| Subject: | Covid-19 | Nonparametric methods | Risk factors | Screening variable selection | Coronavirus | USA | United States | Risiko | Risk | Schätzung | Estimation | Infektionskrankheit | Infectious disease | Wirkungsanalyse | Impact assessment |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.seps.2023.101732 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015071472