Epidemiology

Redesigning SARS-CoV-2 clinical RT-qPCR assays for wastewater RT-ddPCR

1. Raul Gonzalez
2. Allison Larson
3. Hannah Thompson
4. Errin Carter
5. Xavier Fernandez Cassi

Reviewed by ScreenIT

Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile

1. Nicolò Gozzi
2. Michele Tizzoni
3. Matteo Chinazzi
4. Leo Ferres
5. Alessandro Vespignani
6. Nicola Perra

Reviewed by ScreenIT

Evidence for increased breakthrough rates of SARS-CoV-2 variants of concern in BNT162b2-mRNA-vaccinated individuals

1. Talia Kustin
2. Noam Harel
3. Uriah Finkel
4. Shay Perchik
5. Sheri Harari
6. Maayan Tahor
7. Itamar Caspi
8. Rachel Levy
9. Michael Leshchinsky
10. Shifra Ken Dror
11. Galit Bergerzon
12. Hala Gadban
13. Faten Gadban
14. Eti Eliassian
15. Orit Shimron
16. Loulou Saleh
17. Haim Ben-Zvi
18. Elena Keren Taraday
19. Doron Amichay
20. Anat Ben-Dor
21. Dana Sagas
22. Merav Strauss
23. Yonat Shemer Avni
24. Amit Huppert
25. Eldad Kepten
26. Ran D. Balicer
27. Doron Netzer
28. Shay Ben-Shachar
29. Adi Stern

Reviewed by NCRC, Rapid Reviews Infectious Diseases, ScreenIT

Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil

1. Nuno R. Faria
2. Thomas A. Mellan
3. Charles Whittaker
4. Ingra M. Claro
5. Darlan da S. Candido
6. Swapnil Mishra
7. Myuki A. E. Crispim
8. Flavia C. S. Sales
9. Iwona Hawryluk
10. John T. McCrone
11. Ruben J. G. Hulswit
12. Lucas A. M. Franco
13. Mariana S. Ramundo
14. Jaqueline G. de Jesus
15. Pamela S. Andrade
16. Thais M. Coletti
17. Giulia M. Ferreira
18. Camila A. M. Silva
19. Erika R. Manuli
20. Rafael H. M. Pereira
21. Pedro S. Peixoto
22. Moritz U. G. Kraemer
23. Nelson Gaburo
24. Cecilia da C. Camilo
25. Henrique Hoeltgebaum
26. William M. Souza
27. Esmenia C. Rocha
28. Leandro M. de Souza
29. Mariana C. de Pinho
30. Leonardo J. T. Araujo
31. Frederico S. V. Malta
32. Aline B. de Lima
33. Joice do P. Silva
34. Danielle A. G. Zauli
35. Alessandro C. de S. Ferreira
36. Ricardo P. Schnekenberg
37. Daniel J. Laydon
38. Patrick G. T. Walker
39. Hannah M. Schlüter
40. Ana L. P. dos Santos
41. Maria S. Vidal
42. Valentina S. Del Caro
43. Rosinaldo M. F. Filho
44. Helem M. dos Santos
45. Renato S. Aguiar
46. José L. Proença-Modena
47. Bruce Nelson
48. James A. Hay
49. Mélodie Monod
50. Xenia Miscouridou
51. Helen Coupland
52. Raphael Sonabend
53. Michaela Vollmer
54. Axel Gandy
55. Carlos A. Prete
56. Vitor H. Nascimento
57. Marc A. Suchard
58. Thomas A. Bowden
59. Sergei L. K. Pond
60. Chieh-Hsi Wu
61. Oliver Ratmann
62. Neil M. Ferguson
63. Christopher Dye
64. Nick J. Loman
65. Philippe Lemey
66. Andrew Rambaut
67. Nelson A. Fraiji
68. Maria do P. S. S. Carvalho
69. Oliver G. Pybus
70. Seth Flaxman
71. Samir Bhatt
72. Ester C. Sabino

Reviewed by NCRC, ScreenIT

Early chains of transmission of COVID-19 in France, January to March 2020

1. Juliette Paireau
2. Alexandra Mailles
3. Catherine Eisenhauer
4. Franck de Laval
5. François Delon
6. Paolo Bosetti
7. Henrik Salje
8. Valérie Pontiès
9. Simon Cauchemez

Reviewed by NCRC, ScreenIT

High infectiousness immediately before COVID-19 symptom onset highlights the importance of continued contact tracing

1. William S Hart
2. Philip K Maini
3. Robin N Thompson

• Curated by eLife

  Evaluation Summary:

  The manuscript uses a new approach to model the infectiousness profile of COVID-19 infected individuals. The work suggests a higher proportion of pre-symptomatic infectiousness in COVID-19 than the current evidence. The findings are of great interest to public health policy makers. The methodology is of general interest to modellers working on COVID-19.

  (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 and Reviewer #3 agreed to share their names with the authors.)

Reviewed by eLife, ScreenIT

Household COVID-19 risk and in-person schooling

1. Justin Lessler
2. M. Kate Grabowski
3. Kyra H. Grantz
4. Elena Badillo-Goicoechea
5. C. Jessica E. Metcalf
6. Carly Lupton-Smith
7. Andrew S. Azman
8. Elizabeth A. Stuart

Reviewed by NCRC, ScreenIT

Adherence and Association of Digital Proximity Tracing App Notifications With Earlier Time to Quarantine: Results From the Zurich SARS-CoV-2 Cohort Study

1. Tala Ballouz
2. Dominik Menges
3. Hélène E. Aschmann
4. Anja Domenghino
5. Jan S. Fehr
6. Milo A. Puhan
7. Viktor von Wyl

Reviewed by NCRC, ScreenIT

Insights from a Pan India Sero-Epidemiological survey (Phenome-India Cohort) for SARS-CoV2

1. Salwa Naushin
2. Viren Sardana
3. Rajat Ujjainiya
4. Nitin Bhatheja
5. Rintu Kutum
6. Akash Kumar Bhaskar
7. Shalini Pradhan
8. Satyartha Prakash
9. Raju Khan
10. Birendra Singh Rawat
11. Karthik Bharadwaj Tallapaka
12. Mahesh Anumalla
13. Giriraj Ratan Chandak
14. Amit Lahiri
15. Susanta Kar
16. Shrikant Ramesh Mulay
17. Madhav Nilakanth Mugale
18. Mrigank Srivastava
19. Shaziya Khan
20. Anjali Srivastava
21. Bhawana Tomar
22. Murugan Veerapandian
23. Ganesh Venkatachalam
24. Selvamani Raja Vijayakumar
25. Ajay Agarwal
26. Dinesh Gupta
27. Prakash M Halami
28. Muthukumar Serva Peddha
29. Gopinath M Sundaram
30. Ravindra P Veeranna
31. Anirban Pal
32. Vinay Kumar Agarwal
33. Anil Ku Maurya
34. Ranvijay Kumar Singh
35. Ashok Kumar Raman
36. Suresh Kumar Anandasadagopan
37. Parimala Karuppanan
38. Subramanian Venkatesan
39. Harish Kumar Sardana
40. Anamika Kothari
41. Rishabh Jain
42. Anupama Thakur
43. Devendra Singh Parihar
44. Anas Saifi
45. Jasleen Kaur
46. Virendra Kumar
47. Avinash Mishra
48. Iranna Gogeri
49. Geethavani Rayasam
50. Praveen Singh
51. Rahul Chakraborty
52. Gaura Chaturvedi
53. Pinreddy Karunakar
54. Rohit Yadav
55. Sunanda Singhmar
56. Dayanidhi Singh
57. Sharmistha Sarkar
58. Purbasha Bhattacharya
59. Sundaram Acharya
60. Vandana Singh
61. Shweta Verma
62. Drishti Soni
63. Surabhi Seth
64. Sakshi Vashisht
65. Sarita Thakran
66. Firdaus Fatima
67. Akash Pratap Singh
68. Akanksha Sharma
69. Babita Sharma
70. Manikandan Subramanian
71. Yogendra S Padwad
72. Vipin Hallan
73. Vikram Patial
74. Damanpreet Singh
75. Narendra Vijay Tripude
76. Partha Chakrabarti
77. Sujay Krishna Maity
78. Dipyaman Ganguly
79. Jit Sarkar
80. Sistla Ramakrishna
81. Balthu Narender Kumar
82. Kiran A Kumar
83. Sumit G Gandhi
84. Piyush Singh Jamwal
85. Rekha Chouhan
86. Vijay Lakshmi Jamwal
87. Nitika Kapoor
88. Debashish Ghosh
89. Ghanshyam Thakkar
90. Umakanta Subudhi
91. Pradip Sen
92. Saumya Ray Chaudhury
93. Rashmi Kumar
94. Pawan Gupta
95. Amit Tuli
96. Deepak Sharma
97. Rajesh P Ringe
98. Amarnarayan D
99. Mahesh Kulkarni
100. Dhansekaran Shanmugam
101. Mahesh S Dharne
102. Sayed G Dastager
103. Rakesh Joshi
104. Amita P Patil
105. Sachin N Mahajan
106. Abujunaid Habib Khan
107. Vasudev Wagh
108. Rakesh Kumar Yadav
109. Ajinkya Khilari
110. Mayuri Bhadange
111. Arvindkumar H Chaurasiya
112. Shabda E Kulsange
113. Krishna Khairnar
114. Shilpa Paranjape
115. Jatin Kalita
116. Narahari G Sastry
117. Tridip Phukan
118. Prasenjit Manna
119. Wahengbam Romi
120. Pankaj Bharali
121. Dibyajyoti Ozah
122. Ravi Kumar Sahu
123. Elapavalooru VSSK Babu
124. Rajeev Sukumaran
125. Aiswarya R Nair
126. Prajeesh Kooloth Valappil
127. Anoop Puthiyamadam
128. Adarsh Velayudhanpillai
129. Kalpana Chodankar
130. Samir Damare
131. Yennapu Madhavi
132. Ved Varun Aggarwal
133. Sumit Dahiya
134. Anurag Agrawal
135. Debasis Dash
136. Shantanu Sengupta

• Curated by eLife

  Evaluation Summary:

  The paper presents results of a serological survey done on 10,000+ employees and workers associated with CSIR labs in India during August-September 2020. This is a one of the few surveys with a pan-India footprint, making it a valuable addition to understanding of Covid-19 pandemic evolution in the country. The reviewers felt that the writing could have been tighter and more targeted.

  (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 and Reviewer #3 agreed to share their names with the authors.)

Reviewed by eLife, ScreenIT

A Bayesian estimate of the early COVID-19 infection fatality ratio in Brazil based on a random seroprevalence survey

1. Valerio Marra
2. Miguel Quartin

Reviewed by ScreenIT, NCRC