Epidemiology

  1. 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

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  2. 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

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  3. 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

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  4. 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

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  5. 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

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

    1. Cory Merow
    2. Mark C. Urban

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  7. 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

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  8. COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling

    1. Elba Raimúndez
    2. Erika Dudkin
    3. Jakob Vanhoefer
    4. Emad Alamoudi
    5. Simon Merkt
    6. Lara Fuhrmann
    7. Fan Bai
    8. Jan Hasenauer

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  9. Coronametrics: The UK turns the corner

    1. Adam Goliński
    2. Peter Spencer

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  10. A Global Scale Estimate of Novel Coronavirus (COVID-19) Cases Using Extreme Value Distributions

    1. M. Aadhityaa
    2. K. S. Kasiviswanathan
    3. Idhayachandhiran Ilampooranan
    4. B. Soundharajan
    5. M. Balamurugan
    6. Jianxun He

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