Rapid Reviews Infectious Diseases
RR\ID (Rapid Reviews\Infectious Diseases) is an open-access overlay journal that accelerates peer review of important infectious disease-related research preprints.
Latest preprint reviews
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Vitamin D and COVID-19 susceptibility and severity in the COVID-19 Host Genetics Initiative: A Mendelian randomization study
This article has 16 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Excess mortality associated with the COVID-19 pandemic among Californians 18–65 years of age, by occupational sector and occupation: March through November 2020
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Estimating the effects of non-pharmaceutical interventions on the number of new infections with COVID-19 during the first epidemic wave
This article has 12 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Viral Sequencing to Investigate Sources of SARS-CoV-2 Infection in US Healthcare Personnel
This article has 13 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Improved COVID-19 Serology Test Performance by Integrating Multiple Lateral Flow Assays using Machine Learning
This article has 4 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Nonpharmaceutical Interventions Remain Essential to Reducing Coronavirus Disease 2019 Burden Even in a Well-Vaccinated Society: A Modeling Study
This article has 5 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Protein N -glycosylation is essential for SARS-CoV-2 infection
This article has 11 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Cellular and humoral immunogenicity of a SARS-CoV-2 mRNA vaccine in patients on haemodialysis
This article has 19 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Cryo-EM structure of SARS-CoV-2 ORF3a in lipid nanodiscs
This article has 10 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Did people really drink bleach to prevent COVID-19? A tale of problematic respondents and a guide for measuring rare events in survey data
This article has 6 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT