Evidence map›Paper›PMID 38369628›Full record

ArticleAge and ageing2024

Association between social vulnerability and place of death during the first 2 years of COVID-19 in Massachusetts.

Marie-Laure Charpignon, Shauna Onofrey, Yea-Hung Chen, Alex Rewegan, Medellena Maria Glymour, R Monina Klevens, Maimuna Shahnaz Majumder

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Age and ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Marie-Laure CharpignonInstitute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-5786-2627
Shauna OnofreyBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Yea-Hung ChenDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Alex ReweganHistory, Anthropology, Science, Technology, and Society, Massachusetts Institute of Technology, Cambridge, MA, USA.
Medellena Maria GlymourDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
R Monina KlevensBureau of Infectious Disease and Laboratory Sciences, Massachusetts Department of Public Health, Boston, MA, USA.
Maimuna Shahnaz MajumderComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.

Funding

Digital data streams and machine learning for real-time modeling of vaccine-preventable infectious diseasesR35GM146974 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI Maimuna Shahnaz Majumder · 2022 to 2026
$2.2M
NIGMS NIH HHS R35 GM146974NIGMS NIH HHS R35GM146974NIH HHS
6 · The paper itself

Abstract

We investigated the relationship between individual-level social vulnerability and place of death during the infectious disease emergency of the COVID-19 pandemic in Massachusetts. Our research represents a unique contribution by matching individual-level death certificates with COVID-19 test data to analyse differences in distributions of place of death.

Indexed as

COVID-19HumansMassachusettsPandemicsSocial Vulnerabilityinfectious disease emergencyolder peopleplace of deathsocial vulnerability

Identifiers

PMID38369628
PMCPMC10874923

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.