Evidence map›Paper›PMID 34314219›Full record

ArticleAmerican journal of public health2021

A National Framework to Improve Mortality, Morbidity, and Disparities Data for COVID-19 and Other Large-Scale Disasters.

Michael A Stoto, Charles Rothwell, Maureen Lichtveld, Matthew K Wynia

Abstract read
In one paragraph

Article in American journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

4 authors.

Michael A StotoMichael A. Stoto is with Georgetown University, Washington, DC, and the Harvard T. H. Chan School of Public Health, Boston, MA. Charles Rothwell is retired and was formerly with the National Center for Health Statistics, Hyattsville, MD. Maureen Lichtveld is with the Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Matthew K. Wynia is with the University of Colorado School of Medicine and Colorado School of Public Health, Aurora.
Charles RothwellMichael A. Stoto is with Georgetown University, Washington, DC, and the Harvard T. H. Chan School of Public Health, Boston, MA. Charles Rothwell is retired and was formerly with the National Center for Health Statistics, Hyattsville, MD. Maureen Lichtveld is with the Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Matthew K. Wynia is with the University of Colorado School of Medicine and Colorado School of Public Health, Aurora.
Maureen LichtveldMichael A. Stoto is with Georgetown University, Washington, DC, and the Harvard T. H. Chan School of Public Health, Boston, MA. Charles Rothwell is retired and was formerly with the National Center for Health Statistics, Hyattsville, MD. Maureen Lichtveld is with the Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Matthew K. Wynia is with the University of Colorado School of Medicine and Colorado School of Public Health, Aurora.
Matthew K WyniaMichael A. Stoto is with Georgetown University, Washington, DC, and the Harvard T. H. Chan School of Public Health, Boston, MA. Charles Rothwell is retired and was formerly with the National Center for Health Statistics, Hyattsville, MD. Maureen Lichtveld is with the Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Matthew K. Wynia is with the University of Colorado School of Medicine and Colorado School of Public Health, Aurora.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Timely and accurate data on COVID-19 cases and COVID-19‒related deaths are essential for making decisions with significant health, economic, and policy implications. A new report from the National Academies of Sciences, Engineering, and Medicine proposes a uniform national framework for data collection to more accurately quantify disaster-related deaths, injuries, and illnesses. This article describes how following the report's recommendations could help improve the quality and timeliness of public health surveillance data during pandemics, with special attention to addressing gaps in the data necessary to understand pandemic-related health disparities.

Indexed as

Communicable Disease ControlCOVID-19Disaster PlanningDisastersDisease OutbreaksElectronic Health RecordsHumansPopulation Surveillance

Identifiers

PMID34314219
PMCPMC8495648

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.