Identification of the Gamma variant in an outbreak of COVID-19 at a prison in Peru DOI Creative Commons

N Vargas-Herrera,

S Roque de la Piedra,

Carlos Padilla

et al.

Revista Española de Sanidad Penitenciaria, Journal Year: 2021, Volume and Issue: 23(3), P. 128 - 129

Published: Nov. 9, 2021

Language: Английский

Has Omicron Changed the Evolution of the Pandemic? DOI Creative Commons
Alexander Lundberg, Ramon Lorenzo‐Redondo, Egon A. Ozer

et al.

JMIR Public Health and Surveillance, Journal Year: 2022, Volume and Issue: 8(1), P. e35763 - e35763

Published: Jan. 22, 2022

Variants of the SARS-CoV-2 virus carry differential risks to public health. The Omicron (B.1.1.529) variant, first identified in Botswana on November 11, 2021, has spread globally faster than any previous variant concern. Understanding transmissibility is vital development health policy.

Language: Английский

Citations

51
Biological Properties of SARS-CoV-2 Variants: Epidemiological Impact and Clinical Consequences DOI Creative Commons
Reem Hoteit, Hadi M. Yassine

Vaccines, Journal Year: 2022, Volume and Issue: 10(6), P. 919 - 919

Published: June 9, 2022

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a virus that belongs to the family and cause of disease 2019 (COVID-19). As May 2022, it had caused more than 500 million infections 6 deaths worldwide. Several vaccines have been produced tested over last two years. The SARS-CoV-2 virus, on other hand, has mutated time, resulting in genetic variation population circulating variants during COVID-19 pandemic. It also shown immune-evading characteristics, suggesting vaccinations against these could be potentially ineffective. purpose this review article investigate key concern (VOCs) mutations driving current pandemic, as well explore transmission rates VOCs relation epidemiological factors compare virus's rate prior coronaviruses. We examined provided information study, including their transmissibility, infectivity rate, severity, affinity for angiotensin-converting enzyme (ACE2) receptors, viral load, reproduction number, vaccination effectiveness, vaccine breakthrough.

Language: Английский

Citations

38
Spike protein of SARS-CoV-2 variants: a brief review and practical implications DOI Open Access
Kattlyn Laryssa Candido, Caio Ricardo Eich, Luciana Oliveira de Fariña

et al.

Brazilian Journal of Microbiology, Journal Year: 2022, Volume and Issue: 53(3), P. 1133 - 1157

Published: April 9, 2022

Language: Английский

Citations

34
Molecular Epidemiology of SARS-CoV-2 during Five COVID-19 Waves and the Significance of Low-Frequency Lineages DOI Creative Commons
Kathleen Subramoney,

Nkhensani Mtileni,

Jennifer Giandhari

et al.

Viruses, Journal Year: 2023, Volume and Issue: 15(5), P. 1194 - 1194

Published: May 18, 2023

SARS-CoV-2 lineages and variants of concern (VOC) have gained more efficient transmission immune evasion properties with time. We describe the circulation VOCs in South Africa potential role low-frequency on emergence future lineages. Whole genome sequencing was performed samples from Africa. Sequences were analysed Nextstrain pangolin tools Stanford University Coronavirus Antiviral & Resistance Database. In 2020, 24 detected, B.1 (3%; 8/278), B.1.1 (16%; 45/278), B.1.1.348 B.1.1.52 (5%; 13/278), C.1 (13%; 37/278) C.2 (2%; 6/278) circulating during first wave. Beta emerged late dominating second wave infection. continued to circulate at low frequencies 2021 re-emerged 2022. outcompeted by Delta 2021, which thereafter Omicron sub-lineages 4th 5th waves Several significant mutations identified also detected lineages, including S68F (E protein); I82T (M P13L, R203K G204R/K (N R126S (ORF3a); P323L (RdRp); N501Y, E484K, D614G, H655Y N679K (S protein). Low-frequency variants, together circulating, may lead convergence that increase transmissibility, infectivity escape vaccine-induced or natural host immunity.

Language: Английский

Citations

11
The role of machine learning in health policies during the COVID-19 pandemic and in long COVID management DOI Creative Commons

Lindybeth Sarmiento Varón,

Jorge González-Puelma, David Medina-Ortiz

et al.

Frontiers in Public Health, Journal Year: 2023, Volume and Issue: 11

Published: April 11, 2023

The ongoing COVID-19 pandemic is arguably one of the most challenging health crises in modern times. development effective strategies to control spread SARS-CoV-2 were major goals for governments and policy makers. Mathematical modeling machine learning emerged as potent tools guide optimize different measures. This review briefly summarizes evolution during first 3 years. It details main public challenges focusing on contribution mathematical design government action plans mitigation interventions SARS-CoV-2. Next describes application methods a series study cases, including clinical diagnosis, analysis epidemiological variables, drug discovery by protein engineering techniques. Lastly, it explores use investigating long COVID, identifying patterns relationships symptoms, predicting risk indicators, enabling early evaluation sequelae.

Language: Английский

Citations

10
Describing a landscape we are yet discovering DOI Creative Commons
Sebastián Contreras, Jonas Dehning, Viola Priesemann

et al.

AStA Advances in Statistical Analysis, Journal Year: 2022, Volume and Issue: 106(3), P. 399 - 402

Published: June 9, 2022

Language: Английский

Citations

3
Identification of the Gamma variant in an outbreak of COVID-19 at a prison in Peru DOI Creative Commons

N Vargas-Herrera,

S Roque de la Piedra,

Carlos Padilla

et al.

Revista Española de Sanidad Penitenciaria, Journal Year: 2021, Volume and Issue: 23(3), P. 128 - 129

Published: Nov. 9, 2021

Language: Английский

Citations

1