Evidence map›Paper›PMID 30877297›Full record

ArticleAmerican journal of epidemiology2019

Applied Epidemiology Training Needs for the Modern Epidemiologist.

Diana M Bensyl, Michael E King, Ashley Greiner

Open access · hybridAbstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  12. Epidemiology: Back to the Future.American journal of epidemiology · 2019
    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 at 3 institutions in 2 countries.

Diana M BensylGlobal Emergency Alert and Response Service.
Michael E KingEpidemiology Workforce Branch, Division of Scientific Education and Professional Development, Center for Surveillance, Epidemiology, and Laboratory Services, Centers for Disease Control and Prevention, Atlanta, Georgia.
Ashley GreinerEmergency Response and Recovery Branch, Division of Global Health Protection, Center for Global Health, Centers for Disease Control and Prevention, Atlanta, Georgia.
Center for Global Health · USCenters for Disease Control and Prevention · USComputer Emergency Response Team · FR

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Applied epidemiology training occurs throughout an epidemiologist's career, beginning with academic instruction before workforce entry, continuing as professional development while working, and culminating with mentoring the next generation. Epidemiologists need ongoing training on advancements in the field and relevant topics (e.g., informatics, laboratory science, emerging topics) to maintain and improve their skills. Even epidemiologists with advanced skills often want training on methodologic innovations or to practice a skill. Effective applied epidemiology training includes blended learning components of instruction that incorporate hands-on experiences such as simulations and experiential learning, allowing for real-time workflows and incorporation of feedback. To prepare epidemiologists for the future, public health training courses in applied epidemiology must consider the evolution in public health toward a focus on including informatics, technologic innovation, molecular epidemiology, multidisciplinary teams, delivery of population health services, and global health security. Supporting efforts by epidemiologists to increase their skills as part of their career paths ensures a strong workforce that able to tackle public health issues. We explore how to meet current training challenges for the epidemiology workforce, especially given limited resources, based on research and our experience in workforce development across federal agencies and state/local health departments, as well as with international governments and organizations.

Indexed as

Centers for Disease Control and Prevention, U.S.Cooperative BehaviorDiffusion of InnovationEducation, ContinuingEpidemiologyHumansInformation SystemsPopulation HealthProblem-Based LearningPublic Health AdministrationStaff DevelopmentUnited StatesWorkforceapplied epidemiologyblended learningexperiential learninginformaticspopulation health

Identifiers

PMID30877297
PMCPMC6608580
OpenAlexW2921969497

What Socratic 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 Socratic graph.