Epidemiology

  1. Quantifying the impact of COVID-19 control measures using a Bayesian model of physical distancing

    1. Sean C. Anderson
    2. Andrew M. Edwards
    3. Madi Yerlanov
    4. Nicola Mulberry
    5. Jessica E. Stockdale
    6. Sarafa A. Iyaniwura
    7. Rebeca C. Falcao
    8. Michael C. Otterstatter
    9. Michael A. Irvine
    10. Naveed Z. Janjua
    11. Daniel Coombs
    12. Caroline Colijn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The Contribution of Age Structure to the Number of Deaths from Covid-19 in the UK by Geographical Units

    1. Hill Kulu
    2. Peter Dorey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Is “no test is better than a bad test”? Impact of diagnostic uncertainty in mass testing on the spread of COVID-19

    1. Nicholas Gray
    2. Dominic Calleja
    3. Alexander Wimbush
    4. Enrique Miralles-Dolz
    5. Ander Gray
    6. Marco De Angelis
    7. Elfriede Derrer-Merk
    8. Bright Uchenna Oparaji
    9. Vladimir Stepanov
    10. Louis Clearkin
    11. Scott Ferson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Lessons from the Mainland of China’s Epidemic Experience in the First Phase about the Growth Rules of Infected and Recovered Cases of COVID-19 Worldwide

    1. Chuanliang Han
    2. Yimeng Liu
    3. Jiting Tang
    4. Yuyao Zhu
    5. Carlo Jaeger
    6. Saini Yang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Controlled Avalanche – A Regulated Voluntary Exposure Approach for Addressing Covid-19

    1. Eyal Klement
    2. Alon Klement
    3. David Chinitz
    4. Alon Harel
    5. Eyal Fattal
    6. Ziv Klausner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study

    1. Andrew Clark
    2. Mark Jit
    3. Charlotte Warren-Gash
    4. Bruce Guthrie
    5. Harry H X Wang
    6. Stewart W Mercer
    7. Colin Sanderson
    8. Martin McKee
    9. Christopher Troeger
    10. Kanyin L Ong
    11. Francesco Checchi
    12. Pablo Perel
    13. Sarah Joseph
    14. Hamish P Gibbs
    15. Amitava Banerjee
    16. Rosalind M Eggo
    17. Emily S Nightingale
    18. Kathleen O'Reilly
    19. Thibaut Jombart
    20. W John Edmunds
    21. Alicia Rosello
    22. Fiona Yueqian Sun
    23. Katherine E Atkins
    24. Nikos I Bosse
    25. Samuel Clifford
    26. Timothy W Russell
    27. Arminder K Deol
    28. Yang Liu
    29. Simon R Procter
    30. Quentin J Leclerc
    31. Graham Medley
    32. Gwen Knight
    33. James D Munday
    34. Adam J Kucharski
    35. Carl A B Pearson
    36. Petra Klepac
    37. Kiesha Prem
    38. Rein M G J Houben
    39. Akira Endo
    40. Stefan Flasche
    41. Nicholas G Davies
    42. Charlie Diamond
    43. Kevin van Zandvoort
    44. Sebastian Funk
    45. Megan Auzenbergs
    46. Eleanor M Rees
    47. Damien C Tully
    48. Jon C Emery
    49. Billy J Quilty
    50. Sam Abbott
    51. Ch Julian Villabona-Arenas
    52. Stéphane Hué
    53. Joel Hellewell
    54. Amy Gimma
    55. Christopher I Jarvis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Optimizing COVID-19 surveillance in long-term care facilities: a modelling study

    1. on behalf of the AP-HP/Universities/Inserm COVID-19 research collaboration
    2. David R. M. Smith
    3. Audrey Duval
    4. Koen B. Pouwels
    5. Didier Guillemot
    6. Jérôme Fernandes
    7. Bich-Tram Huynh
    8. Laura Temime
    9. Lulla Opatowski

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Tracking R of COVID-19: A new real-time estimation using the Kalman filter

    1. Francisco Arroyo-Marioli
    2. Francisco Bullano
    3. Simas Kucinskas
    4. Carlos Rondón-Moreno

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Seasonality and uncertainty in global COVID-19 growth rates

    1. Cory Merow
    2. Mark C. Urban

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. More prevalent, less deadly? Bayesian inference of the COVID19 Infection Fatality Ratio from mortality data

    1. G. W. Delius
    2. B. J. Powell
    3. M. A. Bees
    4. G. W. A. Constable
    5. N. J. MacKay
    6. J. W. Pitchford

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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