Change point detection for COVID-19 excess deaths in Belgium

Han Lin Shang and Ruofan Xu
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Ruofan Xu: Australian National University

Journal of Population Research, 2022, vol. 39, issue 4, No 7, 557-565

Abstract: 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.

Keywords: Multivariate time series; Structural change; Mortality (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12546-021-09256-2

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