Adaptive behaviors and vaccination on curbing COVID-19 transmission: Modeling simulations in eight countries

Sources, diffusion and prediction in COVID-19 pandemic: lessons learned to face next health emergency

“…The resulting prediction of the share of the population that is immune to symptomatic SARS-CoV-2 infection could aid decision-making processes on when, and for whom, another round of booster vaccination should be considered. Li et al [105] develop a new transmission model via a delay differential system, which parameterized the roles of adaptive behaviors and vaccination, allowing to simulate the dynamic infection process among people. Results show that for complete prevention, the average proportions of people with immunity should be about 76–92% with adaptive protection behaviors, or roughly 77–97% without protection behaviors; in addition, the required proportion of vaccinated people is a sub-linear decreasing function of vaccine efficiency, with little heterogeneity between different countries.…”

New Challenges in the Mathematical Modelling and Control of COVID-19 Epidemics: Analysis of Non-Pharmaceutical Actions and Vaccination Strategies

“…The Journal of Theoretical Biology proposed a Special Issue titled Modelling COVID-19 and Preparedness for Future Pandemics specifically focused on studying different modeling techniques to better understand which is the best model to use for each question and how efficient a model can be for disease prediction [13][14][15][16][17][18][19][20][21][22]; better understand the cyclic phenomena observed in this pandemic [23][24][25][26][27][28][29]; explore the roles of different virus strains and methods with which to rapidly detect them [30][31][32][33][34]; and relate social problems to the pandemic [35][36][37][38]. • Even less-specialized journals decided to pay attention to COVID-19, such as the Journal of Mathematics in Industry, which proposed the Special Issue Mathematical Models of the Spread and Consequences of the SARS-CoV-2 Pandemics.…”