Daily profile of COVID-19 infections in Europe – a biophysical perspective

Abstract Progression of the European COVID-19 pandemic is monitored using daily cases and associated deaths, reported in Italy, Germany and England. Weekly periodicity in reporting is filtered out with a moving average over a 7-day window. This reveals underlying stages of exponential growth and decay, and changes in response to preventative interventions. Exponential rate constants $${r}_{t}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>r</mml:mi> <mml:mi>t</mml:mi> </mml:msub> </mml:math> , combined with different serial-interval distributions, yield estimates for the basic reproduction number R 0 and instantaneous R t , and characterize the emergence of successive dominant viral variants. Rates of testing are discussed in detail, and corrected for. COVID-associated deaths are linked with daily cases, and fatality/case ratios (cfr) used to estimate the extent of under-reporting in the early stages. Reproduction numbers, R 0 and R t , provide estimates of vaccine coverage required to reach population-level immunity, and subsequent modifications needed during the vaccination programme. Hence, we obtain a straightforward integrated description of the pandemic that is essentially biophysical. Graphical abstract

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Publication Details

Journal
Biophysical Reviews
Published
2025-12-01
DOI
https://doi.org/10.1007/s12551-025-01383-x
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
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article

Daily profile of COVID-19 infections in Europe – a biophysical perspective

D. C. B. Marsh
1 citations
Biophysical Reviews
COVID-19 epidemiological studies
1.37
article

Daily profile of COVID-19 infections in Europe – a biophysical perspective

D. C. B. Marsh
article en
1 citations

Abstract

Abstract Progression of the European COVID-19 pandemic is monitored using daily cases and associated deaths, reported in Italy, Germany and England. Weekly periodicity in reporting is filtered out with a moving average over a 7-day window. This reveals underlying stages of exponential growth and decay, and changes in response to preventative interventions. Exponential rate constants $${r}_{t}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>r</mml:mi> <mml:mi>t</mml:mi> </mml:msub> </mml:math> , combined with different serial-interval distributions, yield estimates for the basic reproduction number R 0 and instantaneous R t , and characterize the emergence of successive dominant viral variants. Rates of testing are discussed in detail, and corrected for. COVID-associated deaths are linked with daily cases, and fatality/case ratios (cfr) used to estimate the extent of under-reporting in the early stages. Reproduction numbers, R 0 and R t , provide estimates of vaccine coverage required to reach population-level immunity, and subsequent modifications needed during the vaccination programme. Hence, we obtain a straightforward integrated description of the pandemic that is essentially biophysical. Graphical abstract

Biophysical ReviewsVol. 17(6)
Max Planck Institute for Biophysical Chemistry (DE)
Openalex Percentile: Top 15%
COVID-19 epidemiological studies
1.37
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