model based analysis
Recently Published Documents


TOTAL DOCUMENTS

1234
(FIVE YEARS 295)

H-INDEX

54
(FIVE YEARS 9)

Author(s):  
Dina Jankovic ◽  
Pedro Saramago Goncalves ◽  
Lina Gega ◽  
David Marshall ◽  
Kath Wright ◽  
...  

2021 ◽  
Vol 42 ◽  
pp. 101206
Author(s):  
Jennifer M. Ross ◽  
Yongquan Xie ◽  
Yaqi Wang ◽  
James K. Collins ◽  
Cody Horst ◽  
...  

2021 ◽  
Vol 70 ◽  
pp. 103366
Author(s):  
Fabio Busetti ◽  
Stefano Neri ◽  
Alessandro Notarpietro ◽  
Massimiliano Pisani

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0258997
Author(s):  
Debra Van Egeren ◽  
Madison Stoddard ◽  
Alexander Novokhodko ◽  
Michael S. Rogers ◽  
Diane Joseph-McCarthy ◽  
...  

The development and deployment of several SARS-CoV-2 vaccines in a little over a year is an unprecedented achievement of modern medicine. The high levels of efficacy against transmission for some of these vaccines makes it feasible to use them to suppress SARS-CoV-2 altogether in regions with high vaccine acceptance. However, viral variants with reduced susceptibility to vaccinal and natural immunity threaten the utility of vaccines, particularly in scenarios where a return to pre-pandemic conditions occurs before the suppression of SARS-CoV-2 transmission. In this work we model the situation in the United States in May-June 2021, to demonstrate how pre-existing variants of SARS-CoV-2 may cause a rebound wave of COVID-19 in a matter of months under a certain set of conditions. A high burden of morbidity (and likely mortality) remains possible, even if the vaccines are partially effective against new variants and widely accepted. Our modeling suggests that variants that are already present within the population may be capable of quickly defeating the vaccines as a public health intervention, a serious potential limitation for strategies that emphasize rapid reopening before achieving control of SARS-CoV-2.


2021 ◽  
pp. 87-118
Author(s):  
Manotosh Mandal ◽  
Soovoojeet Jana ◽  
Sayani Adak ◽  
Anupam Khatua ◽  
Tapan Kumar Kar

Sign in / Sign up

Export Citation Format

Share Document