Epidemiology

Dynamics of an SEIRS COVID-19 Epidemic Model with Saturated Incidence and Saturated Treatment Response: Bifurcation Analysis and Simulations

1. Department of Mathematics, School of Physical Science, Ahmadu Bello University, Zaria, Kaduna State, Nigeria
2. David A. Oluyori
3. Angel G. C. Perez
4. Facultad de Matematicas, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico
5. Victor A. Okhuese
6. Department of Mathematics, Nasarawa State University, Keffi, Nigeria
7. Muhammad Akram
8. Department of Eastern Medicine, Government College University, Faisalabad, Pakistan

Reviewed by ScreenIT

Summer vacation and COVID-19: effects of metropolitan people going to summer provinces

1. Tom Britton
2. Frank Ball

Reviewed by ScreenIT

A Novel Approach for Estimating the Final Outcome of Global Diseases Like COVID-19

1. Demetris T. Christopoulos

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

The Impact of Armed Conflict on the Epidemiological Situation of COVID-19 in Libya, Syria and Yemen

1. Mohamed A. Daw

Reviewed by ScreenIT

COVID-19 lockdowns cause global air pollution declines

1. Zander S. Venter
2. Kristin Aunan
3. Sourangsu Chowdhury
4. Jos Lelieveld

Reviewed by ScreenIT

The effect of eviction moratoria on the transmission of SARS-CoV-2

1. Anjalika Nande
2. Justin Sheen
3. Emma L. Walters
4. Brennan Klein
5. Matteo Chinazzi
6. Andrei H. Gheorghe
7. Ben Adlam
8. Julianna Shinnick
9. Maria Florencia Tejeda
10. Samuel V. Scarpino
11. Alessandro Vespignani
12. Andrew J. Greenlee
13. Daniel Schneider
14. Michael Z. Levy
15. Alison L. Hill

Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

Modelling the impact of the tier system on SARS-CoV-2 transmission in the UK between the first and second national lockdowns

1. Daniel J Laydon
2. Swapnil Mishra
3. Wes R Hinsley
4. Pantelis Samartsidis
5. Seth Flaxman
6. Axel Gandy
7. Neil M Ferguson
8. Samir Bhatt

Reviewed by ScreenIT

Patterns of multimorbidity and risk of severe SARS-CoV-2 infection: an observational study in the U.K.

1. Yogini V. Chudasama
2. Francesco Zaccardi
3. Clare L. Gillies
4. Cameron Razieh
5. Thomas Yates
6. David E. Kloecker
7. Alex V. Rowlands
8. Melanie J. Davies
9. Nazrul Islam
10. Samuel Seidu
11. Nita G. Forouhi
12. Kamlesh Khunti

Reviewed by ScreenIT

Efficacy and Safety of Indomethacin in Covid -19 patients

1. Rajan Ravichandran
2. Prassana Purna
3. Sivakumar Vijayaragavan
4. Ravi Teja Kalavakollu
5. Shilpa Gaidhane
6. Ramarathnam Krishna Kumar

Reviewed by ScreenIT