ArticleForensic science, medicine, and pathology2019
U.S. Medical Examiner/Coroner capability to handle highly infectious decedents.
Article in Forensic science, medicine, and pathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Autopsy practices for high-consequence infectious diseases: global guidelines, alternatives, and the BSL-4 gap.Emerging microbes & infections · 2026Review
- Applying machine learning to identify unrecognized COVID-19 deaths recorded as other causes of death in the United States.Science advances · 2026Article
- The impacts of governing agency: A comparison of resources in the patchwork of medicolegal death investigation systems.Forensic science international. Synergy · 2024Article
- Autopsies in pandemics - a perspective on barriers and benefits. Is it time for a revival?APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2021Review
- COVID-19: Postmortem Diagnostic and Biosafety Considerations.The American journal of forensic medicine and pathology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
In the United States of America, Medical Examiners and Coroners (ME/Cs) investigate approximately 20% of all deaths. Unexpected deaths, such as those occurring due to a deceased person under investigation for a highly infectious disease, are likely to fall under ME/C jurisdiction, thereby placing the ME/C and other morgue personnel at increased risk of contracting an occupationally acquired infection. This survey of U.S. ME/Cs' capabilities to address highly infectious decedents aimed to determine opportunities for improvement at ME/C facilities serving a state or metropolitan area. Data for this study was gathered via an electronic survey. Of the 177 electronic surveys that were distributed, the overall response rate was N = 108 (61%), with 99 of those 108 respondents completing all the questions within the survey. At least one ME/C responded from 47 of 50 states, and the District of Columbia. Select results were: less than half of respondents (44%) stated that their office had been involved in handling a suspected or confirmed highly infectious remains case and responses indicated medical examiners. Additionally, ME/C altered their personal protective equipment based on suspected versus confirmed highly infectious remains rather than taking an all-hazards approach. Standard operating procedures or guidelines should be updated to take an all-hazards approach, best-practices on handling highly infectious remains could be integrated into a standardized education, and evidence-based information on appropriate personal protective equipment selection could be incorporated into a widely disseminated learning module for addressing suspected or confirmed highly infectious remains, as those areas were revealed to be currently lacking.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.