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  1. Impact of COVID-19 on education, health and lifestyle behaviour of Brazilian urology residents

    This article has 16 authors:
    1. José Antonio Prezotti
    2. JoĂŁo Victor T. Henriques
    3. Luciano A. Favorito
    4. Alfredo F. Canalini
    5. Marcos G. Machado
    6. Thulio B. V. BrandĂŁo
    7. Akemi M. V. Barbosa
    8. Julyana K. M. Moromizato
    9. Karin M. J. Anzolch
    10. Roni de C. Fernandes
    11. Fransber R. A. Rodrigues
    12. Carlos H. S. Bellucci
    13. Caroline S. Silva
    14. Antonio Carlos L. Pompeo
    15. Jose de Bessa Jr.
    16. Cristiano M. Gomes

    Reviewed by ScreenIT

    This article has 1 evaluationAppears in 1 listLatest version Latest activity
  2. SARS-CoV-2 infects carotid arteries: implications for vascular disease and organ injury in COVID-19

    This article has 22 authors:
    1. Susanne Pfefferle
    2. Thomas GĂŒnther
    3. Victor G. Puelles
    4. Fabian Heinrich
    5. Dominik Nörz
    6. Manja Czech-Sioli
    7. Alexander Carsten
    8. Susanne Krasemann
    9. Milagros N. Wong
    10. Lisa Oestereich
    11. Tim Magnus
    12. Lena Allweiss
    13. Carolin Edler
    14. Ann Sophie Schröder
    15. Maura Dandri
    16. Tobias B. Huber
    17. Markus Glatzel
    18. Klaus PĂŒschel
    19. Adam Grundhoff
    20. Marc LĂŒtgehetmann
    21. Martin Aepfelbacher
    22. Nicole Fischer

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  3. Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination

    This article has 7 authors:
    1. Hanjia Lyu
    2. Junda Wang
    3. Wei Wu
    4. Viet Duong
    5. Xiyang Zhang
    6. Timothy D. Dye
    7. Jiebo Luo
    This article has been curated by 1 group:
    • Curated by eLife

      Evaluation Summary:

      This study uses social media data (namely twitter) to analyse factors of covid-vaccine acceptance. It first trains a classifier to detect whether a tweets pro-vaccine, neutral, or against. Using then a large corpus of accounts, it investigates multiple factors explaining this position in a light counterfactual analysis. The central finding is that the most socioeconomically disadvantaged groups are more likely to hold polarized opinions on COVID-19 vaccines; other findings inclduing that personal pandemic experience has an important impact on acceptance, or that interest in politics modulates acceptance. This study a good example of what machine learning can do with social media data; however it is also a good example of the high data-demands and limitations of a machine learning approach. The correlations found are plausible but the causal implications are not evidenced strongly enough to guide public policy.

      (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 and Reviewer #2 agreed to share their names with the authors.)

    Reviewed by eLife, ScreenIT

    This article has 4 evaluationsAppears in 2 listsLatest version Latest activity
  4. On the track of the D839Y mutation in the SARS-CoV-2 Spike fusion peptide: emergence and geotemporal spread of a highly prevalent variant in Portugal

    This article has 14 authors:
    1. VĂ­tor Borges
    2. Joana Isidro
    3. Helena Cortes-Martins
    4. SĂ­lvia Duarte
    5. LuĂ­s Vieira
    6. Ricardo Leite
    7. Isabel Gordo
    8. Constantino P. Caetano
    9. Baltazar Nunes
    10. Regina SĂĄ
    11. Ana Oliveira
    12. Raquel Guiomar
    13. JoĂŁo Paulo Gomes
    14. Portuguese network for SARS-CoV-2 genomics

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

    This article has 136 authors:
    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
    This article has been curated by 1 group:
    • 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

    This article has 7 evaluationsAppears in 2 listsLatest version Latest activity
  6. Identification of herbal teas and their compounds eliciting antiviral activity against SARS-CoV-2 in vitro

    This article has 17 authors:
    1. Vu Thuy Khanh Le-Trilling
    2. Denise Mennerich
    3. Corinna Schuler
    4. Roman Sakson
    5. Julia K. Lill
    6. Siva Swapna Kasarla
    7. Dominik Kopczynski
    8. Stefan Loroch
    9. Yulia Flores-Martinez
    10. Benjamin Katschinski
    11. Kerstin Wohlgemuth
    12. Matthias Gunzer
    13. Folker Meyer
    14. Prasad Phapale
    15. Ulf Dittmer
    16. Albert Sickmann
    17. Mirko Trilling

    Reviewed by ScreenIT

    This article has 1 evaluationAppears in 1 listLatest version Latest activity