Epidemiology

  1. America Addresses Two Epidemics – Cannabis and Coronavirus and their Interactions: An Ecological Geospatial Study

    1. Albert Stuart Reece
    2. Gary Kenneth Hulse

    Reviewed by ScreenIT

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  2. Predicting the epidemic curve of the coronavirus (SARS-CoV-2) disease (COVID-19) using artificial intelligence: An application on the first and second waves

    1. László Róbert Kolozsvári
    2. Tamás Bérczes
    3. András Hajdu
    4. Rudolf Gesztelyi
    5. Attila Tiba
    6. Imre Varga
    7. Ala'a B. Al-Tammemi
    8. Gergő József Szőllősi
    9. Szilvia Harsányi
    10. Szabolcs Garbóczy
    11. Judit Zsuga

    Reviewed by ScreenIT

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  3. A Multivariate Spatiotemporal Model of COVID-19 Epidemic Using Ensemble of ConvLSTM Networks

    1. Swarna Kamal Paul
    2. Saikat Jana
    3. Parama Bhaumik

    Reviewed by ScreenIT

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  4. Analysis and Estimation of Length of In-Hospital Stay Using Demographic Data of COVID-19 Recovered Patients in Singapore

    1. Jaya Sreevalsan-Nair
    2. Reddy Rani Vangimalla
    3. Pritesh Rajesh Ghogale

    Reviewed by ScreenIT

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  5. Estimating the probability of New Zealand regions being free from COVID-19 using a stochastic SEIR model

    1. Rafal Bogacz

    Reviewed by ScreenIT

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  6. COVID-19: An Update on the Epidemiological, Genomic Origin, Phylogenetic study, India centric to Worldwide current status

    1. Murugan Nandagopal
    2. R. Sagaya Jansi

    Reviewed by ScreenIT

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  7. Lies, Gosh Darn Lies, and not enough good statistics: why epidemic model parameter estimation fails

    1. Daniel E. Platt
    2. Laxmi Parida
    3. Pierre Zalloua

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Early forecasts of the evolution of the COVID-19 outbreaks and quantitative assessment of the effectiveness of countering measures

    1. Emanuele Daddi
    2. Mauro Giavalisco

    Reviewed by ScreenIT

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  9. The effect of travel restrictions on the geographical spread of COVID-19 between large cities in China: a modelling study

    1. Billy J. Quilty
    2. Charlie Diamond
    3. Yang Liu
    4. Hamish Gibbs
    5. Timothy W. Russell
    6. Christopher I. Jarvis
    7. Kiesha Prem
    8. Carl A. B. Pearson
    9. Samuel Clifford
    10. Stefan Flasche
    11. CMMID COVID-19 working group
    12. Jon C. Emery
    13. Megan Auzenbergs
    14. Nicholas Davies
    15. Emily S. Nightingale
    16. Kevin van Zandvoort
    17. Thibaut Jombart
    18. Arminder K. Deol
    19. W. John Edmunds
    20. Joel Hellewell
    21. Sebastian Funk
    22. Sam Abbott
    23. Fiona Sun
    24. Akira Endo
    25. Alicia Rosello
    26. Amy Gimma
    27. Simon R. Procter
    28. Nikos I. Bosse
    29. Kathleen O’Reilly
    30. Graham Medley
    31. James D. Munday
    32. Rein M. G. J. Houben
    33. Adam J. Kucharski
    34. Gwenan M. Knight
    35. Petra Klepac
    36. Rosalind M. Eggo
    37. Mark Jit

    Reviewed by ScreenIT

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  10. Multi-task deep learning based CT imaging analysis for COVID-19 pneumonia: Classification and segmentation

    1. Amine Amyar
    2. Romain Modzelewski
    3. Hua Li
    4. Su Ruan

    Reviewed by ScreenIT

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