Evidence map›Paper›PMID 31186309›Full record

ArticlemSystems2019

Towards Translational Epidemiology: Next-Generation Sequencing and Phylogeography as Epidemiological Mainstays.

Crystal M Hepp

Abstract read
In one paragraph

Article in mSystems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

1 author.

Crystal M HeppSchool of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, USA CRYSTAL.HEPP@nau.edu.

Funding

NCEZID CDC HHS U01 CK000516
6 · The paper itself

Abstract

Next-generation sequencing, coupled with the development of user-friendly software, has achieved a level of accessibility that is revolutionizing the way we approach epidemiological investigations. We can sequence pathogen genomes and conduct phylogenetic analyses to assess transmission, identify from which country or city a pathogen originated, or which contaminated potluck item resulted in widespread foodborne illness. However, until recently, these types of studies have been rarities, limited to specific investigations usually conducted over the short term. Given the feasibility and realized public health benefits of ascertaining pathogen relationships, federal, state, and county agencies are building their sequencing capacities, either through acquisition of equipment or collaborative activities. In this perspective, I detail research projects that our group collaborates on with county and state public health agencies, where the objective is to identify pathogen source locations with the longer-term goal of implementing proactive interventions.

Indexed as

public healthtranslational epidemiologyvector-borne diseaseszoonotic disease

Identifiers

PMID31186309
PMCPMC6584875

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.