Epidemiology

  1. Predicting the evolution of SARS-Covid-2 in Portugal using an adapted SIR Model previously used in South Korea for the MERS outbreak

    1. Pedro Teles

    Reviewed by ScreenIT

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  2. Predicting of COVID-19 Confirmed Cases in Different Countries with ARIMA Models in 2020

    1. Tania Dehesh
    2. Heydar Ali Mardani-Fard
    3. Paria Dehesh

    Reviewed by ScreenIT

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  3. Estimating unobserved SARS-CoV-2 infections in the United States

    1. T. Alex Perkins
    2. Sean M. Cavany
    3. Sean M. Moore
    4. Rachel J. Oidtman
    5. Anita Lerch
    6. Marya Poterek

    Reviewed by ScreenIT

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  4. CoViD-19: an automatic, semiparametric estimation method for the population infected in Italy

    1. Livio Fenga

    Reviewed by ScreenIT

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  5. Modelling the epidemic 2019-nCoV event in Italy: a preliminary note

    1. Marco Claudio Traini
    2. Carla Caponi
    3. Giuseppe Vittorio De Socio

    Reviewed by ScreenIT

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  6. Impact of city and residential unit lockdowns on prevention and control of COVID-19

    1. Peng Shao

    Reviewed by ScreenIT

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  7. Epidemiological Trends of Coronavirus Disease 2019 in China

    1. Bilin Chen
    2. Huanhuan Zhong
    3. Yueyan Ni
    4. Lulu Liu
    5. Jinjin Zhong
    6. Xin Su

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Spread of SARS-CoV-2 Coronavirus likely constrained by climate

    1. Miguel B. Araújo
    2. Babak Naimi

    Reviewed by ScreenIT

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  9. Estimation of the final size of the second phase of the coronavirus COVID 19 epidemic by the logistic model

    1. Milan Batista

    Reviewed by ScreenIT

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  10. Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study

    1. Benjamin J Cowling
    2. Sheikh Taslim Ali
    3. Tiffany W Y Ng
    4. Tim K Tsang
    5. Julian C M Li
    6. Min Whui Fong
    7. Qiuyan Liao
    8. Mike YW Kwan
    9. So Lun Lee
    10. Susan S Chiu
    11. Joseph T Wu
    12. Peng Wu
    13. Gabriel M Leung

    Reviewed by ScreenIT

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