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1.
Modelling the association between COVID-19 transmissibility and D614G substitution in SARS-CoV-2 spike protein: using the surveillance data in California as an example.
Theor Biol Med Model
; 18(1): 10, 2021 03 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-33750399
2.
Real-time quantification of the transmission advantage associated with a single mutation in pathogen genomes: a case study on the D614G substitution of SARS-CoV-2.
BMC Infect Dis
; 21(1): 1039, 2021 Oct 07.
Artículo
en Inglés
| MEDLINE | ID: mdl-34620109
3.
Predictive evolutionary modelling for influenza virus by site-based dynamics of mutations.
Nat Commun
; 15(1): 2546, 2024 Mar 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-38514647
4.
The mechanism shaping the logistic growth of mutation proportion in epidemics at population scale.
Infect Dis Model
; 8(1): 107-121, 2023 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-36632179
5.
Differences in the case fatality risks associated with SARS-CoV-2 Delta and non-Delta variants in relation to vaccine coverage: An early ecological study in the United Kingdom.
Infect Genet Evol
; 97: 105162, 2022 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-34843993
6.
Quantifying the effect of government interventions and virus mutations on transmission advantage during COVID-19 pandemic.
J Infect Public Health
; 15(3): 338-342, 2022 Mar.
Artículo
en Inglés
| MEDLINE | ID: mdl-35167995
7.
Temporal Patterns in the Evolutionary Genetic Distance of SARS-CoV-2 during the COVID-19 Pandemic.
Public Health Genomics
; : 1-4, 2022 Jan 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-34986485
8.
Rapid evaluation of COVID-19 vaccine effectiveness against symptomatic infection with SARS-CoV-2 variants by analysis of genetic distance.
Nat Med
; 28(8): 1715-1722, 2022 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-35710987
9.
Inferring the Association between the Risk of COVID-19 Case Fatality and N501Y Substitution in SARS-CoV-2.
Viruses
; 13(4)2021 04 08.
Artículo
en Inglés
| MEDLINE | ID: mdl-33918060
10.
Differential Influence of Age on the Relationship between Genetic Mismatch and A(H1N1)pdm09 Vaccine Effectiveness.
Viruses
; 13(4)2021 04 04.
Artículo
en Inglés
| MEDLINE | ID: mdl-33916601
11.
In silico prediction of influenza vaccine effectiveness by sequence analysis.
Vaccine
; 39(7): 1030-1034, 2021 02 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-33483214
12.
A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests.
R Soc Open Sci
; 8(9): 201867, 2021 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-34540238
13.
Characterization of key amino acid substitutions and dynamics of the influenza virus H3N2 hemagglutinin.
J Infect
; 83(6): 671-677, 2021 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-34627840
14.
[Investigation of the status of perioperative blood transfusion in grade III-A general hospitals in Zhejiang province].
Zhonghua Yi Xue Za Zhi
; 90(13): 894-7, 2010 Apr 06.
Artículo
en Zh
| MEDLINE | ID: mdl-20646508
15.
Predicting the dominant influenza A serotype by quantifying mutation activities.
Int J Infect Dis
; 100: 255-257, 2020 Nov.
Artículo
en Inglés
| MEDLINE | ID: mdl-32841687
16.
Quantifying the transmission advantage associated with N501Y substitution of SARS-CoV-2 in the UK: an early data-driven analysis.
J Travel Med
; 28(2)2021 02 23.
Artículo
en Inglés
| MEDLINE | ID: mdl-33506254
17.
An early assessment of a case fatality risk associated with P.1 SARS-CoV-2 lineage in Brazil: an ecological study.
J Travel Med
; 28(7)2021 10 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-34155521
18.
Quantifying the importance of the key sites on haemagglutinin in determining the selection advantage of influenza virus: Using A/H3N2 as an example.
J Infect
; 81(3): 452-482, 2020 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-32504744
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