A data-driven approach to study temporal characteristics of COVID-19 infection and death Time Series for twelve countries across six continents
Abstract Background In this work, we implement a data-driven approach using an aggregation of several analytical methods to study the characteristics of COVID-19 daily infection and death time series and identify correlations and characteristic trends that can be corroborated to the time evolution o...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | BMC Medical Research Methodology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12874-024-02423-y |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|