Development of a model-inference system for estimating epidemiological characteristics of SARS-CoV-2 variants of concern.
Nat Commun
; 12(1): 5573, 2021 09 22.
Artigo
em Inglês
| MEDLINE | ID: covidwho-1434106
ABSTRACT
To support COVID-19 pandemic planning, we develop a model-inference system to estimate epidemiological properties of new SARS-CoV-2 variants of concern using case and mortality data while accounting for under-ascertainment, disease seasonality, non-pharmaceutical interventions, and mass-vaccination. Applying this system to study three variants of concern, we estimate that B.1.1.7 has a 46.6% (95% CI 32.3-54.6%) transmissibility increase but nominal immune escape from protection induced by prior wild-type infection; B.1.351 has a 32.4% (95% CI 14.6-48.0%) transmissibility increase and 61.3% (95% CI 42.6-85.8%) immune escape; and P.1 has a 43.3% (95% CI 30.3-65.3%) transmissibility increase and 52.5% (95% CI 0-75.8%) immune escape. Model simulations indicate that B.1.351 and P.1 could outcompete B.1.1.7 and lead to increased infections. Our findings highlight the importance of preventing the spread of variants of concern, via continued preventive measures, prompt mass-vaccination, continued vaccine efficacy monitoring, and possible updating of vaccine formulations to ensure high efficacy.
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Assunto principal:
SARS-CoV-2
/
COVID-19
/
Modelos Teóricos
Tipo de estudo:
Estudo observacional
/
Estudo prognóstico
Tópicos:
Vacinas
/
Variantes
Limite:
Adolescente
/
Adulto
/
Idoso
/
Criança
/
Criança, pré-escolar
/
Humanos
/
Lactente
/
Meia-Idade
/
Jovem adulto
País/Região como assunto:
África
/
América do Norte
/
América do Sul
/
Brasil
/
Europa
Idioma:
Inglês
Revista:
Nat Commun
Assunto da revista:
Biologia
/
Ciência
Ano de publicação:
2021
Tipo de documento:
Artigo
País de afiliação:
S41467-021-25913-9
Similares
MEDLINE
...
LILACS
LIS