Un-reviewed pre-prints without New Paper issues

[rdvelazquez]

UPDATED

The following 14 pre-prints don't appear to have reviews and don't have an issue in our repo:

• [ ] Novel coronavirus 2019-nCoV: early estimation of epidemiological parameters and epidemic predictions: 10.1101/2020.01.23.20018549
• [ ] Modelling the epidemic trend of the 2019 novel coronavirus outbreak in China: 10.1101/2020.01.23.916726
• [ ] Time-varying transmission dynamics of Novel Coronavirus Pneumonia in China: 10.1101/2020.01.25.919787
• [ ] Estimating the effective reproduction number of the 2019-nCoV in China: 10.1101/2020.01.27.20018952
• [ ] Potentially highly potent drugs for 2019-nCoV: 10.1101/2020.02.05.936013
• [ ] Crystal structure of the 2019-nCoV spike receptor-binding domain bound with the ACE2 receptor: 10.1101/2020.02.19.956235
• [ ] Increasing Host Cellular Receptor—Angiotensin-Converting Enzyme 2 (ACE2) Expression by Coronavirus may Facilitate 2019-nCoV Infection: 10.1101/2020.02.24.963348
• [ ] Rapid Detection of 2019 Novel Coronavirus SARS-CoV-2 Using a CRISPR-based DETECTR Lateral Flow Assay: 10.1101/2020.03.06.20032334
• [ ] The architecture of SARS-CoV-2 transcriptome: 10.1101/2020.03.12.988865
• [ ] Ocular conjunctival inoculation of SARS-CoV-2 can cause mild COVID-19 in Rhesus macaques: 10.1101/2020.03.13.990036
• [ ] Global profiling of SARS-CoV-2 specific IgG/ IgM responses of convalescents using a proteome microarray: 10.1101/2020.03.20.20039495
• [ ] Epidemiological parameters of coronavirus disease 2019: a pooled analysis of publicly reported individual data of 1155 cases from seven countries: 10.1101/2020.03.21.20040329
• [ ] Using early data to estimate the actual infection fatality ratio from COVID-19 in France: 10.1101/2020.03.22.20040915
• [ ] Analytical Validation of a COVID-19 qRT-PCR Detection Assay Using a 384-well Format and Three Extraction Methods: 10.1101/2020.04.02.022186

This list is based on the sources_cross_reference TSV file and can be generated by running the following script from the root directory:

import pandas as pd
df = pd.read_csv("./output/sources_cross_reference.tsv", sep="\t")
df = df[df.gh_issue_labels.isnull()]
df = df[df.Mt_Sinai_Review_link.isnull()]
df = df[(df.publication == "medRxiv") | (df.publication == "bioRxiv")]
df = df[df.doi != "10.1101/2020.02.06.20020974"]
print("The following", len(df), "pre-prints don't appear to have reviews and don't have an issue in our repo:")
for index, row in df.iterrows():
    if row.doi:
        message = "- [ ] " + row.title + ": [" + row.doi + "](" + row.URL + ")"
        print(message)
    else:
        print('no doi... heres all the info:', row)

[marouenbg]

I just opened 2 issues (#228 and #229) for 2 of the preprints (doi:10.1101/2020.02.26.964882 and doi:10.1101/2020.04.09.033522) I forgot to mention in #193

[agitter]

I noticed that for doi:10.1101/2020.02.26.964882 (#229) there is a mixture of citations for the same work. #193 used the journal version doi:10.1038/s41586-020-2223-y and #196 used the bioRxiv version.

[dziakj1]

I submitted an issue (#250) for First 12 patients with coronavirus disease 2019 (COVID-19) in the United States: 10.1101/2020.03.09.20032896.

[dziakj1]

I submitted an issue (#277) for "Estimating the reproduction number of COVID-19 in Iran using epidemic modeling: 10.1101/2020.03.20.20038422."

[dziakj1]

I submitted issue #279 for "Clinical characteristics of 2019 novel coronavirus infection in China: 10.1101/2020.02.06.20020974" which turns out to have been published in the New England Journal of Medicine on February 28, 2020, and last updated on March 6, 2020 (DOI: 10.1056/NEJMoa2002032).

[dziakj1]

I submitted issue #327 for the medRXiv preprint "Epidemiological parameters of coronavirus disease 2019: a pooled analysis of publicly reported individual data of 1155 cases from seven countries", doi: 10.1101/2020.03.21.20040329. However, I do not think this preprint will be published in anything resembling its current form and would not recommend citing it.