News Release

Optimal lifting of COVID-19 restrictions would follow pace of vaccination, study suggests

High vaccination rate also needed to maximize freedoms and minimize new waves of infection

Peer-Reviewed Publication

PLOS

Optimal lifting of COVID-19 restrictions would follow pace of vaccination, study suggests

image: As seirbhis - out of service. This seat is reserved….for social distancing view more 

Credit: Cityswift, Flickr, CC BY 2.0 (https://creativecommons.org/licenses/by/2.0/)

A new analysis suggests that, in order to boost freedoms and protect against overwhelming new waves of COVID-19, the pace at which restrictions to reduce spread are lifted must be directly tied to the pace of vaccination. Simon Bauer, Viola Priesemann, and colleagues of the Max Planck Institute for Dynamics and Self-Organization, Germany, present these findings in the open-access journal PLOS Computational Biology.

More than a year after the COVID-19 pandemic began, vaccination programs now hold promise to ease many burdens caused by the disease—including necessary restrictions that have had negative social and economic consequences. Much research has focused on vaccine allocation and prioritization, and optimal ways to control spread. However, how to execute a smooth transition between an unprotected population to eventual population immunity remained an open question.

To address that question, Bauer and colleagues applied mathematical modeling to epidemiological and vaccination data from Germany, France, the U.K., and other European countries. Specifically, they quantified the pace at which restrictions could be lifted during vaccine rollout in order to mitigate the risk of rebound COVID-19 waves that overwhelm intensive care units.

After considering various plausible scenarios, the researchers concluded that further severe waves can only be avoided if restrictions are lifted no faster than the pace dictated by vaccination progress, and that there is basically no gain in freedom if one eases restrictions too quickly. The findings suggest that, even after 80 percent of the adult population has been vaccinated, novel, more infectious variants could trigger a new wave and overwhelm intensive care units if lifting all restrictions.

“In such an event, restrictions would quickly have to be reinstated, thus quickly vanishing the mirage of freedom,” Priesemann says. “Furthermore, an early lift would have high morbidity and mortality costs. Meanwhile, relaxing restrictions at the pace of vaccination shows almost the same progress in ‘freedom’ while maintaining low incidence.”

The researchers say their findings suggest that, despite public pressure, policymakers should not rush relaxation of restrictions, and a high vaccination rate—especially among high-risk populations—is necessary. Further research will be needed to design optimal scenarios from a global perspective.

 

############

 

In your coverage please use this URL to provide access to the freely available article in PLOS Computational Biology:

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009288

Citation: Bauer S, Contreras S, Dehning J, Linden M, Iftekhar E, Mohr SB, et al. (2021) Relaxing restrictions at the pace of vaccination increases freedom and guards against further COVID-19 waves. PLoS Comput Biol 17(9): e1009288. https://doi.org/10.1371/journal.pcbi.1009288

Funding: SB, SC, JD, ML, EI, SM, and VP received support from the Max-Planck-Gesellschaft (MPRG Priesemann), https://www.mpg.de/de. SC and AO-N received support from the Comisión Nacional de Investigación Científica y Tecnológica PIA project FB0001, ANID, Chile. ML, JD, SM acknowledge funding from the “Netzwerk Universitätsmedizin” (NUM) project egePan (01KX2021). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.