HIV and the Seroprevalence of SARS-CoV-2
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Abstract
Importance
Healthy HIV-positive insurance applicants have a similar risk of infection and produce a similar antibody response as HIV-negative applicants infected with COVID-19.
Objective
Study the seroprevalence and immune response to COVID-19 in healthy HIV-positive life insurance applicants.
Design
From January 2020 to March 2021, we examined the seroprevalence of COVID-19 in all HIV-positive applicants. Antibody level in 340 age and sex matched COVID-19 positive applicants, 170 HIV-positive and 170 HIV negative, are compared. The data was de-identified of all personal information and separated by month, age and sex.
Participants
Self-reported healthy HIV positive life insurance applicants were tested for antibodies to COVID-19.
Article activity feed
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SciScore for 10.1101/2021.04.29.21256302: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter:…
SciScore for 10.1101/2021.04.29.21256302: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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