Epidemiology

Impact of the COVID-19 pandemic on routine surveillance for adults with chronic hepatitis B virus (HBV) infection in the UK

1. Cori Campbell
2. Tingyan Wang
3. David A. Smith
4. Oliver Freeman
5. Theresa Noble
6. Kinga A Várnai
7. Steve Harris
8. Hizni Salih
9. Gail Roadknight
10. Stephanie Little
11. Ben Glampson
12. Luca Mercuri
13. Dimitri Papadimitriou
14. Christopher R Jones
15. Vince Taylor
16. Afzal Chaudhry
17. Hang Phan
18. Florina Borca
19. Josune Olza
20. Frazer Warricker
21. Luis Romão
22. David Ramlakhan
23. Louise English
24. Paul Klenerman
25. Monique I. Andersson
26. Jane Collier
27. Eleni Nastouli
28. Salim I. Khakoo
29. William Gelson
30. Graham S. Cooke
31. Kerrie Woods
32. Jim Davies
33. Eleanor Barnes
34. Philippa C. Matthews

Reviewed by ScreenIT

Correcting prevalence estimation for biased sampling with testing errors

1. Lili Zhou
2. Daniel Andrés Díaz‐Pachón
3. Chen Zhao
4. J. Sunil Rao
5. Ola Hössjer

Reviewed by ScreenIT

Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review

1. Chen Chen
2. Spencer R Haupert
3. Lauren Zimmermann
4. Xu Shi
5. Lars G Fritsche
6. Bhramar Mukherjee

Reviewed by ScreenIT

COVID-19 in the Republic of Belarus: pandemic features and the interim safety and efficacy assessment of the Gam-COVID-Vac vaccine

1. Ala M Dashkevich
2. Veronika S Vysotskaya
3. Iryna N Hlinskaya
4. Anzhela L Skuranovich
5. Aliaksandr A Tarasenka
6. Inna A Karaban
7. Natalya D Kolomiets

Reviewed by ScreenIT

Limited impact of contact tracing in a University setting for COVID-19 due to asymptomatic transmission and social distancing

1. Daniel Stocks
2. Emily Nixon
3. Adam Trickey
4. Martin Homer
5. Ellen Brooks-Pollock

Reviewed by ScreenIT

SARS-CoV-2 Mortality Surveillance among Community Deaths brought to University Teaching Hospital Mortuary in Lusaka, Zambia, 2020

1. Amos Hamukale
2. Jonas Z. Hines
3. Nyambe Sinyange
4. Sombo Fwoloshi
5. Warren Malambo
6. Suilanji Sivile
7. Stephen Chanda
8. Luchenga Adam Mucheleng’anga
9. Nkomba Kayeyi
10. Cordelia Maria Himwaze
11. Aaron Shibemba
12. Tally Leigh
13. Mazyanga L. Mazaba
14. Nathan Kapata
15. Paul Zulu
16. Khozya Zyambo
17. Francis Mupeta
18. Simon Agolory
19. Lloyd B. Mulenga
20. Kennedy Malama
21. Muzala Kapina

Reviewed by ScreenIT

Estimation of R0 for the spread of SARS-CoV-2 in Germany from excess mortality

1. Juan Pablo Prada
2. Luca Estelle Maag
3. Laura Siegmund
4. Elena Bencurova
5. Chunguang Liang
6. Eleni Koutsilieri
7. Thomas Dandekar
8. Carsten Scheller

Reviewed by ScreenIT

Effectiveness of COVID-19 booster vaccines against COVID-19-related symptoms, hospitalization and death in England

1. Nick Andrews
2. Julia Stowe
3. Freja Kirsebom
4. Samuel Toffa
5. Ruchira Sachdeva
6. Charlotte Gower
7. Mary Ramsay
8. Jamie Lopez Bernal

Reviewed by ScreenIT

Development, validation, and application of a machine learning model to estimate salt consumption in 54 countries

1. Wilmer Cristobal Guzman-Vilca
2. Manuel Castillo-Cara
3. Rodrigo M Carrillo-Larco

• Curated by eLife

  Evaluation Summary:

  This study by Guzman-Vilca et al. developed a machine learning (ML) tool to estimate the sodium/salt intake in a pooled database of a WHO surveys entailing more than 45,000 people in low- and middle-income countries. Their ML model based on age, sex, weight, height, systolic and diastolic blood pressure values provided a reasonably accurate estimate of the salt/sodium intake in the population in such countries. While waiting for further validation using the gold standard of 24-hour urinary sodium excretion, as reference, this tool can be important for estimating sodium consumption in low-mid income countries, which cannot afford measurements of sodium in the urine.

  (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 agreed to share their name with the authors.)

Reviewed by eLife

Using high-resolution contact networks to evaluate SARS-CoV-2 transmission and control in large-scale multi-day events

1. Rachael Pung
2. Josh A. Firth
3. Lewis G. Spurgin
4. Singapore CruiseSafe working group
5. Annie Chang
6. Jade Kong
7. Jazzy Wong
8. Ooi Jo Jin
9. Deepa Selvaraj
10. Dominique Yong
11. Jocelyn Lang
12. Abilash Sivalingam
13. CMMID COVID-19 working group
14. Simon R. Procter
15. Stefan Flasche
16. William Waites
17. Kiesha Prem
18. Carl A. B. Pearson
19. Hamish P. Gibbs
20. Katharine Sherratt
21. C. Julian Villabona-Arenas
22. Kerry L. M. Wong
23. Yang Liu
24. Paul Mee
25. Lloyd A. C. Chapman
26. Katherine E. Atkins
27. Matthew Quaife
28. James D. Munday
29. Sebastian Funk
30. Rosalind M. Eggo
31. Stèphane Huè
32. Nicholas G. Davies
33. David Hodgson
34. Kaja Abbas
35. Ciara V. McCarthy
36. Joel Hellewell
37. Sam Abbott
38. Nikos I. Bosse
39. Oliver Brady
40. Rosanna C. Barnard
41. Mark Jit
42. Damien C. Tully
43. Graham Medley
44. Fiona Yueqian Sun
45. Christopher I. Jarvis
46. Rachel Lowev
47. Kathleen O’Reilly
48. Sophie R. Meakin
49. Akira Endo
50. Frank G. Sandmann
51. W. John Edmunds
52. Mihaly Koltai
53. Emilie Finch
54. Amy Gimma
55. Alicia Rosello
56. Billy J. Quilty
57. Yalda Jafari
58. Gwenan M. Knight
59. Samuel Clifford
60. Timothy W. Russell
61. Vernon J. Lee
62. Adam J. Kucharski

Reviewed by ScreenIT