COVID-19 cycles and rapidly evaluating lockdown strategies using spectral analysis
Abstract Spectral analysis characterises oscillatory time series behaviours such as cycles, but accurate estimation requires reasonable numbers of observations. At the time of writing, COVID-19 time series for many countries are short: pre- and post-lockdown series are shorter still. Accurate estima...
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| Format: | Article |
| Language: | English |
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Nature Publishing Group
2020-12-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-79092-6 |