Abstract
Emerging at the end of 2019, COVID-19 has become a public health threat to people worldwide. Apart from deaths with a positive COVID-19 test, many others have died from causes indirectly related to COVID-19. Therefore, the COVID-19 confirmed deaths underestimate the influence of the pandemic on society; instead, the measure of ‘excess deaths’ is a more objective and comparable way to assess the scale of the epidemic and formulate lessons. One common practical issue in analysing the impact of COVID-19 is to determine the ‘pre-COVID-19′ period and the ‘post-COVID-19′ period. We apply a change point detection method to identify any change points using excess deaths in Belgium.
| Original language | English |
|---|---|
| Pages (from-to) | 557-565 |
| Number of pages | 9 |
| Journal | Journal of Population Research |
| Volume | 39 |
| Issue number | 4 |
| Early online date | 6 Mar 2021 |
| DOIs | |
| Publication status | Published - Dec 2022 |
Keywords
- Mortality
- Multivariate time series
- Structural change
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