Epidemiology

Widespread contamination of SARS‐CoV ‐2 on highly touched surfaces in Brazil during the second wave of the COVID ‐19 pandemic

1. Severino Jefferson Ribeiro da Silva
2. Jessica Catarine Frutuoso do Nascimento
3. Wendell Palôma Maria dos Santos Reis
4. Caroline Targino Alves da Silva
5. Poliana Gomes da Silva
6. Renata Pessôa Germano Mendes
7. Allyson Andrade Mendonça
8. Bárbara Nazly Rodrigues Santos
9. Jurandy Júnior Ferraz de Magalhães
10. Alain Kohl
11. Lindomar Pena

Reviewed by ScreenIT

The statistical analysis of daily data associated with different parameters of the New Coronavirus COVID-19 pandemic in Georgia and their short-term interval prediction in spring 2021

1. Avtandil G. Amiranashvili
2. Ketevan R. Khazaradze
3. Nino D. Japaridze

Reviewed by ScreenIT

Acceptability, Usability, and Performance of Lateral Flow Immunoassay Tests for Severe Acute Respiratory Syndrome Coronavirus 2 Antibodies: REACT-2 Study of Self-Testing in Nonhealthcare Key Workers

1. Bethan Davies
2. Marzieh Araghi
3. Maya Moshe
4. He Gao
5. Kimberly Bennet
6. Jordan Jenkins
7. Christina Atchison
8. Ara Darzi
9. Deborah Ashby
10. Steven Riley
11. Wendy Barclay
12. Paul Elliott
13. Helen Ward
14. Graham Cooke

Reviewed by ScreenIT

Burden of COVID-19 and case fatality rate in Pune, India: an analysis of the first and second wave of the pandemic

1. Prasad Bogam
2. Aparna Joshi
3. Sanket Nagarkar
4. Divyashri Jain
5. Nikhil Gupte
6. LS Shashidhara
7. Joy Merwin Monteiro
8. Vidya Mave

Reviewed by ScreenIT

Stochastic social behavior coupled to COVID-19 dynamics leads to waves, plateaus, and an endemic state

1. Alexei V Tkachenko
2. Sergei Maslov
3. Tong Wang
4. Ahmed Elbana
5. George N Wong
6. Nigel Goldenfeld

• Curated by eLife

  Evaluation Summary:

  This manuscript will be of interest to epidemiologists and population biologists interested in outbreak dynamics in populations with complex social structures, such as emergent viral infections of humans. The study offers a functional, differential-equation (DE)-based framework for capturing the transition from emergence to endemicity without the huge over-compensation cycles typically predicted by DE models but rarely seen in natural populations. The model framework currently offers insights into the drivers of epidemic dynamics and, after further testing and calibration, may be useful for assessing control strategies for emerging infectious diseases.

  (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 #2 agreed to share their name with the authors.)

Reviewed by eLife

Massive social protests amid the pandemic in selected Colombian cities: Did they increase COVID-19 cases?

1. José Moreno-Montoya
2. Laura A. Rodríguez-Villamizar
3. Alvaro J. Idrovo

Reviewed by ScreenIT

Visible and Real Sizes of New COVID-19 Pandemic Waves in Ukraine

1. Igor Nesteruk

Reviewed by ScreenIT

What can we learn from COVID-19 data by using epidemic models with unidentified infectious cases?

1. Quentin Griette
2. Jacques Demongeot
3. Pierre Magal

Reviewed by ScreenIT

The impact of temperature on the transmissibility and virulence of COVID-19 in Tokyo, Japan

1. Lisa Yamasaki
2. Hiroaki Murayama
3. Masahiro Hashizume

Reviewed by ScreenIT

Spectre of SARS-CoV-2 RNA in the ambient urban waters of Ahmedabad and Guwahati: A tale of two Indian cities

1. Manish Kumar
2. Vaibhav Srivastava
3. Payal Mazumder
4. Jyoti Prakash Deka
5. Shilangi Gupta
6. Ritusmita Goswami
7. Pravin K. Mutiyar
8. Shyamnarayan Dave
9. Chandan Mahanta
10. A.L. Ramanathan
11. Madhvi Joshi

Reviewed by ScreenIT