Wording the trajectory of the three-year COVID-19 epidemic in a general population – Belgium ...
Abstract The trajectory of COVID-19 epidemic waves in the general population of Belgium was analysed by defining quantitative criteria for epidemic waves from March 2020 to early 2023. Peaks and starting/ending times characterised nine waves numerated I to IX based on the daily reported incidence number (symbol INCID) and three “endemic” interval periods between the first four waves. The SIR compartmental model was applied to the first epidemic wave by fitting the daily prevalence pool (symbol I) calculated as the sum of the daily incidence rate and estimated number of subjects still infectiou... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2024 |
Verlag/Hrsg.: |
figshare
|
Schlagwörter: | Biophysics / Medicine / Neuroscience / Physiology / FOS: Biological sciences / Biotechnology / Evolutionary Biology / Ecology / Biological Sciences not elsewhere classified / Mathematical Sciences not elsewhere classified / Statistics / FOS: Mathematics / Infectious Diseases / FOS: Health sciences / Computational Biology |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28970991 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.7099459 |
Abstract The trajectory of COVID-19 epidemic waves in the general population of Belgium was analysed by defining quantitative criteria for epidemic waves from March 2020 to early 2023. Peaks and starting/ending times characterised nine waves numerated I to IX based on the daily reported incidence number (symbol INCID) and three “endemic” interval periods between the first four waves. The SIR compartmental model was applied to the first epidemic wave by fitting the daily prevalence pool (symbol I) calculated as the sum of the daily incidence rate and estimated number of subjects still infectious from the previous days. The basic reproductive number R0 was calculated based on the exponential growth rate during the early phase and on medical literature knowledge of the time of generation of SARS-CoV-2 infection. The first COVID-19 wave was well fitted by an open SIR model. According to this approach, dampened recurrent epidemic waves evolving through an endemic state would have been expected. This was not the ...