日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Can ship travel contain COVID-19 outbreak after re-opening: a Bayesian meta-analysis

重新开放后,海运能否控制新冠疫情爆发:一项贝叶斯荟萃分析

Hsu, Chen-Yang; Chen, Jia-Kun; Wikramaratna, Paul S; Yen, Amy Ming-Fang; Chen, Sam Li-Sheng; Chen, Hsiu-Hsi; Lai, Chao-Chih

Potential impact of individual exposure histories to endemic human coronaviruses on age-dependent severity of COVID-19

个体接触地方性人类冠状病毒史对新冠肺炎年龄相关性严重程度的潜在影响

Pinotti, Francesco; Wikramaratna, Paul S; Obolski, Uri; Paton, Robert S; Damineli, Daniel S C; Alcantara, Luiz C J; Giovanetti, Marta; Gupta, Sunetra; Lourenço, José

Real-time seroprevalence and exposure levels of emerging pathogens in infection-naive host populations

感染初次者人群中新发病原体的实时血清阳性率和暴露水平

Pinotti, Francesco; Obolski, Uri; Wikramaratna, Paul; Giovanetti, Marta; Paton, Robert; Klenerman, Paul; Thompson, Craig; Gupta, Sunetra; Lourenço, José

Estimating the false-negative test probability of SARS-CoV-2 by RT-PCR

利用RT-PCR方法估计SARS-CoV-2假阴性检测概率

Wikramaratna, Paul S; Paton, Robert S; Ghafari, Mahan; Lourenço, José

Reverse immunodynamics: a new method for identifying targets of protective immunity

逆向免疫动力学:一种识别保护性免疫靶点的新方法

Spensley, Katrina J; Wikramaratna, Paul S; Penman, Bridget S; Walker, Andrew; Smith, Adrian L; Pybus, Oliver G; Jean, Létitia; Gupta, Sunetra; Lourenço, José

Antibody responses to avian influenza viruses in wild birds broaden with age

野生鸟类对禽流感病毒的抗体反应会随着年龄的增长而增强。

Hill, Sarah C; Manvell, Ruth J; Schulenburg, Bodo; Shell, Wendy; Wikramaratna, Paul S; Perrins, Christopher; Sheldon, Ben C; Brown, Ian H; Pybus, Oliver G

MANTIS: an R package that simulates multilocus models of pathogen evolution

MANTIS:一个用于模拟病原体进化多位点模型的 R 软件包

Lourenço, José; Wikramaratna, Paul S; Gupta, Sunetra

The effects of tertiary and quaternary infections on the epidemiology of dengue

三级和四级感染对登革热流行病学的影响

Wikramaratna, Paul S; Simmons, Cameron P; Gupta, Sunetra; Recker, Mario