Evidence map›Paper›PMID 34469643›Full record

ArticleThe New England journal of medicine2021

Data in Crisis - Rethinking Disaster Preparedness in the United States.

Satchit Balsari, Mathew V Kiang, Caroline O Buckee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The New England journal of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Lessons Learned from Natural Disasters around Digital Health Technologies and Delivering Quality Healthcare.International journal of environmental research and public health · 2023
    Review
  9. Article
  10. Making data for good better.PLOS digital health · 2022
    Article
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

3 authors.

Satchit BalsariFrom the Department of Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School (S.B.), the FXB Center for Health and Human Rights, Harvard University (S.B., M.V.K.), and the Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health (C.O.B.) - all in Boston; and the Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA (M.V.K.).ORCID 0000-0002-5492-1900
Mathew V KiangFrom the Department of Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School (S.B.), the FXB Center for Health and Human Rights, Harvard University (S.B., M.V.K.), and the Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health (C.O.B.) - all in Boston; and the Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA (M.V.K.).ORCID 0000-0001-9198-150X
Caroline O BuckeeFrom the Department of Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School (S.B.), the FXB Center for Health and Human Rights, Harvard University (S.B., M.V.K.), and the Center for Communicable Disease Dynamics, Department of Epidemiology, Harvard T.H. Chan School of Public Health (C.O.B.) - all in Boston; and the Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA (M.V.K.).ORCID 0000-0002-8386-5899

Funding

Reducing racial disparities in the treatment of opioid use disorder using machine learning-based causal analysisK99DA051534 · NIDA · STANFORD UNIVERSITY · PI KIANG, MATHEW VINHHOA · 2020 to 2021
$359k
NIDA NIH HHS K99 DA051534
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Natural DisastersCOVID-19Data MiningDisaster PlanningHumansInformation DisseminationUnited States

Identifiers

PMID34469643
PMCPMC8622661

What OpenQuestion holds

Textmetadata
LicenceTDM
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.