Vaccination and variants: A COVID-19 multi-strain model evolution for the Philippines

Abstract

Coronavirus disease 2019 (COVID-19) management and response is a challenging task due to the uncertainty and complexity of the nature surrounding the virus. In particular, the emergence of new variants and the polarizing response from the populace complicate government efforts to control the pandemic. In this study, we developed a compartmental model that includes (1) a vaccinated compartment, (2) reinfection after a particular time, and (3) COVID-19 variants dominant in the Philippines. Furthermore, we incorporated stochastic terms to capture uncertainty brought about by the further evolution of the new variants and changing control measures via parametric perturbation. Results show the importance of booster shots that increase the vaccine-induced immunity duration. Without booster shots, simulations showed that the dominant strain would still cause significant infection until 31 December 2023. Moreover, our stochastic model output showed significant variability in this case, implying greater uncertainty with future predictions. All these adverse effects, fortunately, can be effectively countered by increasing the vaccine-induced immunity duration that can be done through booster shots.

Qualitative analysis of a Mathematical model of COVID-19 with intervention strategies in the Philippines

“…Their simulations provided compelling evidence that vaccination against COVID-19 has a significant and positive impact on reducing the number of future infections. Moreover, Campos et al [10] also studied vaccination strategies considering the different COVID-19 variants. Their results have highlighted the importance of administering booster shots to increase vaccine-induced immunity duration against COVID-19.…”