Evidence map›Paper›PMID 36502386›Full record

ReviewEmerging infectious diseases2022

Continuing Contributions of Field Epidemiology Training Programs to Global COVID-19 Response.

Elizabeth Bell, Camille Mittendorf, Erika Meyer, Olivia Barnum, Carl Reddy, Seymour Williams, Henry Baggett, Reina Turcios-Ruiz

Abstract readReview
In one paragraph

Review in Emerging infectious diseases, 2022. 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. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Global Responses to the COVID-19 PandemicEmerging infectious diseases · 2022
    Review
  10. 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

8 authors.

Elizabeth Bell
Camille Mittendorf
Erika Meyer
Olivia Barnum
Carl Reddy
Seymour Williams
Henry Baggett
Reina Turcios-Ruiz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We documented the contributions of Field Epidemiology Training Program (FETP) trainees and graduates to global COVID-19 preparedness and response efforts. During February-July 2021, we conducted surveys designed in accordance with the World Health Organization's COVID-19 Strategic Preparedness and Response Plan. We quantified trainee and graduate engagement in responses and identified themes through qualitative analysis of activity descriptions. Thirty-two programs with 2,300 trainees and 7,372 graduates reported near-universal engagement across response activities, particularly those aligned with the FETP curriculum. Graduates were more frequently engaged than were trainees in pandemic response activities. Common themes in the activity descriptions were epidemiology and surveillance, leading risk communication, monitoring and assessment, managing logistics and operations, training and capacity building, and developing guidelines and protocols. We describe continued FETP contributions to the response. Findings indicate the wide-ranging utility of FETPs to strengthen countries' emergency response capacity, furthering global health security.

Indexed as

COVID-19Public HealthDisease OutbreaksGlobal HealthHumansPopulation SurveillancecoronavirusCOVID-19COVID-19 responseFETPfield epidemiologyField Epidemiology Training Programsglobal health securityInternational Health Regulationspandemicpandemic responsepreparednessSARS-CoV-2WHO COVID-19 Response StrategyWHO Response Pillarsworkforce capacity buildingworkforce development

Identifiers

PMID36502386
PMCPMC9745235

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.