Evidence map›Paper›PMID 19797739›Full record

ArticleAmerican journal of public health2009

Protection of racial/ethnic minority populations during an influenza pandemic.

Sonja S Hutchins, Kevin Fiscella, Robert S Levine, Danielle C Ompad, Marian McDonald

Abstract read
In one paragraph

Article in American journal of public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing 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

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  7. Protecting Populations at High Risk for Severe COVID-19.American journal of public health · 2024
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  20. Citizenship Matters: Non-Citizen COVID-19 Mortality Disparities in New York and Los Angeles.International journal of environmental research and public health · 2022
    Article

34 more citing papers are in PubMed but not listed here.

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

5 authors.

Sonja S HutchinsOffice of Minority Health and Health Disparities, Office of the Chief of Public Health Practice, Office of the Director, Centers for Disease Control and Prevention, 1600 Clifton Rd, Mailstop E-67, Atlanta, GA 30333, USA. ssh1@cdc.gov
Kevin Fiscella
Robert S Levine
Danielle C Ompad
Marian McDonald

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Racial/ethnic minority populations experience worse health outcomes than do other groups during and after disasters. Evidence for a differential impact from pandemic influenza includes both higher rates of underlying health conditions in minority populations, increasing their risk of influenza-related complications, and larger socioeconomic (e.g., access to health care), cultural, educational, and linguistic barriers to adoption of pandemic interventions. Implementation of pandemic interventions could be optimized by (1) culturally competent preparedness and response that address specific needs of racial/ethnic minority populations, (2) improvements in public health and community health safety net systems, (3) social policies that minimize economic burdens and improve compliance with isolation and quarantine, and (4) relevant, practical, and culturally and linguistically tailored communications.

Indexed as

EthnicityInfluenza VaccinesVulnerable PopulationsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDisease OutbreaksHealthcare DisparitiesHealth Services AccessibilityHumansInfluenza, HumanMedically Underserved AreaMiddle AgedInfluenza Vaccines

Identifiers

PMID19797739
PMCPMC4504373

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.