biostudies-otherUnknown139Lucian SmithChaos, solitons, and fractals110296Severe acute respiratory syndrome coronavirus 2https://www.ebi.ac.uk/biostudies/studies/MODEL2012040001biostudies-other32982082Lucian SmithMatthias KönigKausthubh RamachandranfalseMalkov2020 - SEIRS model of COVID-19 transmission with reinfectionEpidemiological models of COVID-19 transmission assume that recovered individuals have a fully protected immunity. To date, there is no definite answer about whether people who recover from COVID-19 can be reinfected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In the absence of a clear answer about the risk of reinfection, it is instructive to consider the possible scenarios. To study the epidemiological dynamics with the possibility of reinfection, I use a Susceptible-Exposed-Infectious-Resistant-Susceptible model with the time-varying transmission rate. I consider three different ways of modeling reinfection. The crucial feature of this study is that I explore both the difference between the reinfection and no-reinfection scenarios and how the mitigation measures affect this difference. The principal results are the following. First, the dynamics of the reinfection and no-reinfection scenarios are indistinguishable before the infection peak. Second, the mitigation measures delay not only the infection peak, but also the moment when the difference between the reinfection and no-reinfection scenarios becomes prominent. These results are robust to various modeling assumptions.2020-12-04T00:00:00Z2025-07-15T09:45:45.286Z2025-03-29T22:22:36.888ZMODEL201204000132982082NCIT:C17234NCIT:C171133C25746C25559NCIT:C16710MAMO_00000460000514000056900005110000597DOID:008060096062697049