The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.

About Followers

Latest preprint reviews

  1. Modelling the impact of household size distribution on the transmission dynamics of COVID-19

    1. Pengyu Liu
    2. Lisa McQuarrie
    3. Yexuan Song
    4. Caroline Colijn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. College Campuses and COVID-19 Mitigation: Clinical and Economic Value

    1. Elena Losina
    2. Valia Leifer
    3. Lucia Millham
    4. Christopher Panella
    5. Emily P. Hyle
    6. Amir M. Mohareb
    7. Anne M. Neilan
    8. Andrea L. Ciaranello
    9. Pooyan Kazemian
    10. Kenneth A. Freedberg

    Reviewed by ScreenIT, Rapid Reviews Infectious Diseases

    5 evaluationsAppears in 2 listsLatest version Latest activity

  3. COVID-19 pandemic: examining the faces of spatial differences in the morbidity and mortality in sub-Saharan Africa, Europe and USA

    1. Adebayo A. Otitoloju
    2. Ifeoma P. Okafor
    3. Mayowa Fasona
    4. Kafilat A. Bawa-Allah
    5. Chukwuemeka Isanbor
    6. Onyeka S. Chukwudozie
    7. Olawale S. Folarin
    8. Taiwo O. Adubi
    9. Temitope O. Sogbanmu
    10. Anthony E. Ogbeibu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Mortalidade por COVID-19 Comparada: Brasil, Rio de Janeiro, Campos dos Goytacazes, Macaé, Cabo Frio e Rio das Ostras

    1. Antonio Candido de Camargo Guimarães
    2. Karla Santa Cruz Coelho
    3. Kathleen Tereza da Cruz
    4. Bárbara Soares de Oliveira Souza
    5. Janimayri Forastieri de Almeida
    6. Gustavo Fialho Coelho
    7. Gabriella Ramos Lacerda Ferreira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Estimating the burden of United States workers exposed to infection or disease: A key factor in containing risk of COVID-19 infection

    1. Marissa G. Baker
    2. Trevor K. Peckham
    3. Noah S. Seixas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Mendelian randomization analysis identified genes pleiotropically associated with the risk and prognosis of COVID-19

    1. Di Liu
    2. Jingyun Yang
    3. Bowen Feng
    4. Wenjin Lu
    5. Chuntao Zhao
    6. Lizhuo Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Clinical Characterisation of Eleven Lateral Flow Assays for Detection of COVID-19 Antibodies in a Population

    1. Fabian Rudolf
    2. Hans-Michael Kaltenbach
    3. Janina Linnik
    4. Marie-Therèse Ruf
    5. Christoph Niederhauser
    6. Beatrice Nickel
    7. Daniel Gygax
    8. Miodrag Savic

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Socio-demographic disparities in knowledge, practices, and ability to comply with COVID-19 public health measures in Canada

    1. Gabrielle Brankston
    2. Eric Merkley
    3. David N. Fisman
    4. Ashleigh R. Tuite
    5. Zvonimir Poljak
    6. Peter J. Loewen
    7. Amy L. Greer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Obesity and COVID-19 Mortality A Cross-Country Analysis

    1. Giacomo De Giorgi
    2. Felix Michalik

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Dependence of COVID-19 Policies on End-of-Year Holiday Contacts in Mexico City Metropolitan Area: A Modeling Study

    1. Fernando Alarid-Escudero
    2. Valeria Gracia
    3. Andrea Luviano
    4. Jorge Roa
    5. Yadira Peralta
    6. Marissa B. Reitsma
    7. Anneke L. Claypool
    8. Joshua A. Salomon
    9. David M. Studdert
    10. Jason R. Andrews
    11. Jeremy D. Goldhaber-Fiebert
    12. Stanford-CIDE Coronavirus Simulation Model (SC-COSMO) Modeling Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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