Quadratic growth during the COVID-19 pandemic: merging hotspots and reinfections
arXiv:2206.15459 · doi:10.1088/1751-8121/acb743
Abstract
The existence of an exponential growth phase during early stages of a pandemic is often taken for granted. However, for the 2019 novel coronavirus epidemic, the early exponential phase lasted only for about six days, while the quadratic growth prevailed for forty days until it spread to other countries and continued, again quadratically, but with a larger coefficient. Here we show that this rapid phase is followed by a subsequent slow-down where the coefficient is reduced to almost the original value at the outbreak. This can be explained by the merging of previously disconnected sites that occurred after the disease jumped (nonlocally) to a relatively small number of separated sites. Subsequent variations in the slope with continued growth can qualitatively be explained as a result of reinfections and changes in their rate. We demonstrate that the observed behavior can be described by a standard epidemiological model with spatial extent and reinfections included. Time-dependent changes in the spatial diffusion coefficient can also model corresponding variations in the slope.
11 pages, 10 figures, 1 table
References in corpus (8)
- Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV
- The Pencil Code, a modular MPI code for partial differential equations and particles: multipurpose and multiuser-maintained
- How Long can Left and Right Handed Life Forms Coexist?
- Epidemic plateau in critical SIR dynamics with non-trivial initial conditions
- A new logistic growth model applied to COVID-19 fatality data
- Prospective Prediction of Future SARS-CoV-2 Infections Using Empirical Data on a National Level to Gauge Response Effectiveness
- Contact statistics in populations of noninteracting random walkers in two dimensions
- Modelling the deceleration of COVID-19 spreading