Evidence map›Paper›PMID 36417248›Full record

ArticleEpidemiologia (Basel, Switzerland)2022

Trust in the U.S. Government and Its Health Agencies in the Time of COVID-19.

Maraika Geisterfer-Black, Taylor Niemi, Leonie Neier, Victor G Rodwin

Abstract read
In one paragraph

Article in Epidemiologia (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Barriers and Facilitators to Trust in the COVID-19 New York City Test and Trace Program.Journal of urban health : bulletin of the New York Academy of Medicine · 2024
    Article
  6. Article
  7. 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

4 authors.

Maraika Geisterfer-BlackGlobal Studies Institute, University of Geneva, Rue des Vieux-Grenadiers 10, 1205 Geneva, Switzerland.ORCID 0000-0002-2051-555X
Taylor NiemiGlobal Studies Institute, University of Geneva, Rue des Vieux-Grenadiers 10, 1205 Geneva, Switzerland.
Leonie NeierFaculty of Economics and Behavioral Sciences, University of Freiburg, Friedrichstraße 39, 79098 Freiburg, Germany.ORCID 0000-0002-5407-2654
Victor G RodwinWagner School of Public Service, New York University, 295 Lafayette Street, New York, NY 10012, USA.ORCID 0000-0002-2411-6185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines the factors affecting Americans' trust in their federal government and its health agencies during the COVID-19 public health crisis. More specifically, we examine the evolution of Americans' trust in their government and health system and how, in the context of the COVID-19 pandemic response, it has been affected by multiple factors. Several academic journals, government policy recommendations and public health polls were evaluated to understand the public's trust in the federal government and its health institutions. Public trust in institutions during a global pandemic is essential in influencing adherence to a pandemic response (both non-pharmaceutical and medical interventions). Americans' trust in institutions is built and maintained by a variety of factors. We focus on: political polarization and involvement, media influence and health communications, history of systemic racism and socioeconomic inequalities, and pandemic fatigue. Based on the interplay of these factors, we conclude with recommendations for future pandemic response strategies.

Indexed as

communicationCOVID-19cultureinstitutionspoliticspublic healthtrustUnited States

Identifiers

PMID36417248
PMCPMC9620942

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.