Abstract

Background

Population-based seroprevalence studies offer comprehensive characterization of coronavirus disease 2019 (COVID-19) spread, but barriers exist and marginalized populations may not be captured. We assessed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody seroprevalence among decedents in Maryland over 6 months in 2020.

Methods

Data were collected on decedents undergoing forensic postmortem examination in Maryland from 24 May through 30 November 2020 from whom a blood specimen could be collected. Those with available blood specimens were tested with the CoronaCHEK lateral flow antibody assay. We assessed monthly seroprevalence compared to the statewide estimated number of cases and proportion of positive test results (testing positivity). We used Poisson regression with robust variance to estimate adjusted prevalence ratios (aPRs) with 95% confidence intervals (CIs) for associations of demographic characteristics, homelessness, and manner of death with SARS-CoV-2 antibodies.

Results

Among 1906 decedents, 305 (16%) were positive for SARS-CoV-2 antibodies. Monthly seroprevalence increased from 11% to 22% over time and was consistently higher than state-level estimates of testing positivity. Hispanic ethnicity was associated with 2- to 3.2-fold higher seropositivity (P < .05) irrespective of sex. Deaths due to motor vehicle crash were associated with 62% increased seropositivity (aPR, 1.62 [95% CI, 1.15–2.28]) vs natural manner of death. Though seroprevalence was lower in decedents of illicit drug overdose vs nonoverdose in early months, this shifted, and seroprevalence was comparable by November 2020.

Conclusions

Decedents undergoing forensic postmortem examination, especially those dying due to motor vehicle trauma, may be a sentinel population for COVID-19 spread in the general population and merits exploration in other states/regions.

Details

Title
Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Seroprevalence in Decedents Undergoing Forensic Postmortem Examination: Feasibility for Real-Time Pandemic Surveillance
Author
Coburn, Sally B 1 ; Manabe, Yukari C 2 ; Laeyendecker, Oliver 3 ; Sherman, Susan G 4 ; Baker, Owen R 2 ; Quinn, Thomas C 3 ; Graham, Lindsey A 5 ; Thomas, F Dennis 5 ; Southall, Pamela 6 ; Weedn, Victor W 7 ; Ehsani, Johnathon 8 ; Klock, Ethan 2 ; Li, Rong 6 ; Shields, Wendy C 8 ; Jeffrey Paul Michael 8 ; Li, Ling 9 ; Althoff, Keri N 1 

 Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 
 Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA 
 Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA; Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA 
 Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 
 Dunlap and Associates, Inc, Stamford, Connecticut, USA 
 Office of the Chief Medical Examiner, Maryland Department of Health, Baltimore, Maryland, USA 
 University of Maryland Baltimore Graduate School, Baltimore, Maryland, USA 
 Center for Injury Research and Policy, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 
 Office of the Chief Medical Examiner, Maryland Department of Health, Baltimore, Maryland, USA; Department of Pediatrics, University of Maryland School of Medicine, Baltimore, Maryland, USA 
Publication year
2022
Publication date
May 2022
Publisher
Oxford University Press
e-ISSN
23288957
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3171176600
Copyright
© The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.