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How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19

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How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19

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Biases in Information Selection and Processing: Survey Evidence from the Pandemic

It’s All Relative: Learning Interpretable Models for Scoring Subjective Bias in Documents from Pairwise Comparisons

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Numerical simulation of the fate, transport and public health risks of enteric viruses in Lake Geneva

Cryo-EM structures and binding of mouse and human ACE2 to SARS-CoV-2 variants of concern indicate that mutations enabling immune escape could expand host range

Stronger serial dependence in the depth plane than the fronto-parallel plane between realistic objects: Evidence from virtual reality

Virtual reality intervention alleviates dyspnoea in patients recovering from COVID-19 pneumonia

Inactivation mechanisms of influenza A virus within the micro-environment of expiratory bioaerosols

SARS-CoV-2 epidemiological model based on socio economic variables in Switzerland

Specchio-COVID19 cohort study: a longitudinal follow-up of SARS-CoV-2 serosurvey participants in the canton of Geneva, Switzerland