Evaluated articles

A novel cell culture system modeling the SARS-CoV-2 life cycle

1. Xiaohui Ju
2. Yunkai Zhu
3. Yuyan Wang
4. Jingrui Li
5. Jiaxing Zhang
6. Mingli Gong
7. Wenlin Ren
8. Sai Li
9. Jin Zhong
10. Linqi Zhang
11. Qiangfeng Cliff Zhang
12. Rong Zhang
13. Qiang Ding

Reviewed by ScreenIT

Consideration for the asymptomatic transmission of COVID-19: Systematic Review and Meta-Analysis

1. Khaiwal Ravindra
2. Vivek Singh Malik
3. Bijaya K Padhi
4. Sonu Goel
5. Madhu Gupta

Reviewed by ScreenIT

At home and online during the early months of the COVID-19 pandemic and the relationship to alcohol consumption in a national sample of U.S. adults

1. Karen G. Chartier
2. Jeanine P. D. Guidry
3. Catherine A. Lee
4. Thomas D. Buckley

Reviewed by ScreenIT

SARS-CoV-2 qRT-PCR Ct value distribution in Japan and possible utility of rapid antigen testing kit

1. Yuta Takeda
2. Masatoshi Mori
3. Kazuya Omi

Reviewed by ScreenIT

An engineered decoy receptor for SARS-CoV-2 broadly binds protein S sequence variants

1. Kui K. Chan
2. Timothy J. C. Tan
3. Krishna K. Narayanan
4. Erik Procko

Reviewed by ScreenIT

Impact and Correlation of Air Quality and Climate Variables with COVID-19 Morbidity and Mortality in Dhaka, Bangladesh

1. Md Riad Sarkar Pavel
2. Abdus Salam
3. Mahbuba Yesmin
4. Nazmul Ahsan
5. Shahid Uz Zaman
6. Farah Jeba

Reviewed by ScreenIT

Performance of Saliva Specimens for the Molecular Detection of SARS-CoV-2 in the Community Setting: Does Sample Collection Method Matter?

1. Marta Fernández-González
2. Vanesa Agulló
3. Alba de la Rica
4. Ana Infante
5. Mar Carvajal
6. José Alberto García
7. Nieves Gonzalo-Jiménez
8. Claudio Cuartero
9. Montserrat Ruiz-García
10. Carlos de Gregorio
11. Manuel Sánchez
12. Mar Masiá
13. Félix Gutiérrez

Reviewed by ScreenIT

Clinical Ordering Practices of the SARS-CoV-2 Antibody Test at a Large Academic Medical Center

1. Joesph R Wiencek
2. Carter L Head
3. Costi D Sifri
4. Andrew S Parsons

Reviewed by ScreenIT

Analysis of the early COVID-19 epidemic curve in Germany by regression models with change points

1. Helmut Küchenhoff
2. Felix Günther
3. Michael Höhle
4. Andreas Bender

Reviewed by ScreenIT

High COVID-19 transmission potential associated with re-opening universities can be mitigated with layered interventions

1. Ellen Brooks-Pollock
2. Hannah Christensen
3. Adam Trickey
4. Gibran Hemani
5. Emily Nixon
6. Amy C. Thomas
7. Katy Turner
8. Adam Finn
9. Matt Hickman
10. Caroline Relton
11. Leon Danon

Reviewed by ScreenIT

Early indirect impact of COVID-19 pandemic on utilization and outcomes of reproductive, maternal, newborn, child and adolescent health services in Kenya

1. Duncan Shikuku
2. Irene Nyaoke
3. Sylvia Gichuru
4. Onesmus Maina
5. Martin Eyinda
6. Pamela Godia
7. Lucy Nyaga
8. Charles Ameh

Reviewed by ScreenIT

Modeling the impact of racial and ethnic disparities on COVID-19 epidemic dynamics

1. Kevin C Ma
2. Tigist F Menkir
3. Stephen Kissler
4. Yonatan H Grad
5. Marc Lipsitch

• Curated by eLife

  Evaluation Summary:

  This excellent paper by Ma and colleagues assesses the role of assortative mixing in regards to racial and ethnic disparities to estimate herd immunity thresholds (HIT) for SARS-CoV-2. The paper is conceptual in nature and builds on similar models which have been particularly useful to understand the dynamics of sexually transmitted diseases. The model is explained well and the paper is clearly written. The conclusions are justified by the analysis. One limitation is that the model is trained against a single cross-sectional seroprevalence estimate (one in NYC & one in Long Island) which allows for multiple models (ranging from homogeneous mixing to proportionate mixing) to recapitulate the data and in turn does not allow general estimates of HIT for these regions. It is also unclear if a more realistic epidemic simulation that included repeated waves of infection &/or vaccine roll out would change the conclusions regarding HIT according to race and ethnicity.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1, Reviewer #2 and Reviewer #3 agreed to share their names with the authors.)

Reviewed by eLife, ScreenIT

Chest pain presentations to hospital during the COVID-19 lockdown: Lessons for public health media campaigns

1. Amy V. Ferry
2. Collette Keanie
3. Martin A. Denvir
4. Nicholas L. Mills
5. Fiona E. Strachan

Reviewed by ScreenIT

Urban Sprawl of Covid-19 Epidemic in India: Lessons in the First Semester

1. Rajeev Gupta
2. Kiran Gaur
3. Raghubir S Khedar
4. Rajinder K Dhamija

Reviewed by ScreenIT

The relationship between anxiety, health, and potential stressors among adults in the United States during the COVID-19 pandemic

1. Angela M Parcesepe
2. McKaylee Robertson
3. Amanda Berry
4. Andrew Maroko
5. Rebecca Zimba
6. Christian Grov
7. Drew Westmoreland
8. Sarah Kulkarni
9. Madhura Rane
10. William Salgado-You
11. Chloe Mirzayi
12. Levi Waldron
13. Denis Nash

Reviewed by ScreenIT

Characterization of SARS-CoV-2 ORF6 deletion variants detected in a nosocomial cluster during routine genomic surveillance, Lyon, France

1. Grégory Quéromès
2. Grégory Destras
3. Antonin Bal
4. Hadrien Regue
5. Gwendolyne Burfin
6. Solenne Brun
7. Rémi Fanget
8. Florence Morfin
9. Martine Valette
10. Bruno Lina
11. Emilie Frobert
12. Laurence Josset

Reviewed by ScreenIT

How to Coordinate Vaccination and Social Distancing to Mitigate SARS-CoV-2 Outbreaks

1. Sara M. Grundel
2. Stefan Heyder
3. Thomas Hotz
4. Tobias K. S. Ritschel
5. Philipp Sauerteig
6. Karl Worthmann

Reviewed by ScreenIT

A lateral flow test detecting SARS-CoV-2 neutralizing antibodies

1. Nan Zhang
2. Shuo Chen
3. Jin V. Wu
4. Xinhai Yang
5. Jianfu J. Wang

Reviewed by ScreenIT

The protective performance of reusable cloth face masks, disposable procedure masks, KN95 masks and N95 respirators: Filtration and total inward leakage

1. Scott Duncan
2. Paul Bodurtha
3. Syed Naqvi

Reviewed by ScreenIT

Sword of Damocles or choosing well. Population genetics sheds light into the future of the COVID-19 pandemic and SARS-CoV-2 new mutant strains

1. J. G. García de Alcañíz
2. V. López-Rodas
3. E. Costas

Reviewed by ScreenIT