A Targeted Geospatial Approach to COVID-19 Vaccine Delivery: Findings from the Johns Hopkins Hospital Emergency Department
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (ScreenIT)
Abstract
While COVID-19 vaccines have been shown to significantly decrease morbidity and mortality, there is still much debate about optimal strategies of vaccine rollout. We tested identity-unlinked stored remnant blood specimens of patients at least 18 years presenting to the Johns Hopkins Hospital emergency department (ED) between May to November 2020 for IgG to SARS-CoV-2. Data on SARS-CoV-2 RT PCR were available for patients who were tested due to suspected infection. SARS-CoV-2 infections was defined as either a positive IgG and/or RT-PCR. SARS-CoV-2 infection clustering by zipcode was analyzed by spatial analysis using the Bernoulli model (SaTScan software, Version 9.7). Median age of the 7,461 unique patients visiting the ED was 47 years and 50.8% were female; overall, 740 (9.9%) unique patients had evidence of SARS-CoV-2 infection. Prevalence of infection in ED patients by ZIP code ranged from 4.1% to 22.3%. The observed number of cases in ZIP code C was nearly double the expected (observed/expected ratio = 1.99; 95% CI: 1.62, 2.42). These data suggest a targeted geospatial approach to COVID vaccination should be considered to maximize vaccine rollout efficiency and include high-risk populations that may otherwise be subjected to delays, or missed.
Article activity feed
-
SciScore for 10.1101/2021.05.04.21255575: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: The protocol was approved by the Johns Hopkins Medicine Institutional Review Board (IRB00083646). Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources We tested identity-unlinked stored remnant blood specimens of patients ≥18 years presenting to the Johns Hopkins Hospital ED between May–November 2020 for IgG to SARS-CoV-2 using the Abbott Architect SARS-CoV-2 IgG Assay (Supplementary Methods). Abbott Architectsuggested: (Abbott ARCHITECT i1000sr System, RRID:SCR_019328)Heat map of SARS-CoV-2 infection (IgG and/or RT-PCR) prevalence by ZIP code for the JHH ED catchment … SciScore for 10.1101/2021.05.04.21255575: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics IRB: The protocol was approved by the Johns Hopkins Medicine Institutional Review Board (IRB00083646). Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources We tested identity-unlinked stored remnant blood specimens of patients ≥18 years presenting to the Johns Hopkins Hospital ED between May–November 2020 for IgG to SARS-CoV-2 using the Abbott Architect SARS-CoV-2 IgG Assay (Supplementary Methods). Abbott Architectsuggested: (Abbott ARCHITECT i1000sr System, RRID:SCR_019328)Heat map of SARS-CoV-2 infection (IgG and/or RT-PCR) prevalence by ZIP code for the JHH ED catchment area in Baltimore City was created using Microsoft Excel Map function. Microsoft Excelsuggested: (Microsoft Excel, RRID:SCR_016137)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.
-
