Department of Mathematics, Stockholm University, Stockholm, Sweden.
J R Soc Interface. 2023 Sep;20(206):20230042. doi: 10.1098/rsif.2023.0042. Epub 2023 Sep 13.
Susceptible-infectious-recovered-susceptible (SIRS) epidemic models assume that individual immunity wanes in one leap, from complete immunity to complete susceptibility. For many diseases immunity on the contrary wanes gradually, something that has become even more evident during COVID-19 pandemic where also recently infected have a reinfection risk, and booster vaccines are given to increase immunity. Here, a novel mathematical model is presented allowing for the gradual decay of immunity following linear or exponential waning functions. The two new models and the SIRS model are compared assuming all three models have the same cumulative immunity. When no intervention is put in place, we find that the long-term prevalence is higher for the models with gradual waning. If aiming for herd immunity by continuous vaccination, it is shown that larger vaccine quantities are required when immunity wanes gradually compared with results obtained from the SIRS model, and this difference is the biggest for the most realistic assumption of exponentially waning of immunity. For parameter choices fitting to COVID-19, the critical amount of vaccine supply is about 50% higher if immunity wanes linearly, and more than 150% higher when immunity wanes exponentially, when compared with the classic SIRS epidemic model.
易感-感染-恢复-易感 (SIRS) 流行模型假设个体免疫力会突然下降,从完全免疫到完全易感。然而,对于许多疾病,免疫力会逐渐下降,这在 COVID-19 大流行期间变得更加明显,最近感染的人也有再次感染的风险,并且需要接种加强疫苗来提高免疫力。在这里,提出了一种新的数学模型,允许免疫随着线性或指数衰减函数逐渐衰减。假设这三个模型具有相同的累积免疫力,对这两个新模型和 SIRS 模型进行了比较。在没有干预措施的情况下,我们发现随着免疫逐渐减弱,长期流行率更高。如果通过连续接种疫苗来实现群体免疫,那么与 SIRS 模型相比,当免疫逐渐减弱时,需要接种更多的疫苗,而当免疫呈指数衰减时,这种差异最大。对于适合 COVID-19 的参数选择,如果免疫呈线性衰减,与经典 SIRS 传染病模型相比,疫苗供应量的临界值要高约 50%,如果免疫呈指数衰减,疫苗供应量的临界值要高 150%以上。