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.
Latest preprint reviews
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Contribution of age-related effects to COVID-19 differences of crude fatality ratios in two Argentine provinces between March and August 2020
This article has 2 authors:Reviewed by ScreenIT
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Evaluating splatter and settled aerosol during orthodontic debonding: implications for the COVID-19 pandemic
This article has 9 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Evaluation of 6 Commercial SARS-CoV-2 Serology Assays Detecting Different Antibodies for Clinical Testing and Serosurveillance
This article has 13 authors:Reviewed by ScreenIT
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Comparison of Estimated Effectiveness of Case-Based and Population-Based Interventions on COVID-19 Containment in Taiwan
This article has 9 authors:Reviewed by ScreenIT
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Covid-19 related deaths among doctors in India
This article has 2 authors:Reviewed by ScreenIT
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Low uptake of COVID-19 prevention behaviours and high socioeconomic impact of lockdown measures in South Asia: Evidence from a large-scale multi-country surveillance programme
This article has 33 authors:Reviewed by ScreenIT
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Predictors of COVID-19 Vaccine Hesitancy: Socio-Demographics, Co-Morbidity, and Past Experience of Racial Discrimination
This article has 8 authors:Reviewed by ScreenIT
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The impact of asthma on mental health and wellbeing during COVID-19 lockdown
This article has 5 authors:Reviewed by ScreenIT
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Evidence for ethnic inequalities in mortality related to COVID-19 infections: findings from an ecological analysis of England
This article has 2 authors:Reviewed by ScreenIT
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Trying to Find the Answer for Two Questions in Patients with COVID-19: 1. Is pulmonary infiltrate of COVID-19 infective or inflammatory in nature (Pneumonia or Pneumonitis)? 2. Is Hydroxychloroquine plus Azithromycin or Favipiravir plus Dexamethasone more effective in the COVID-19 treatment?
This article has 5 authors:Reviewed by ScreenIT