Evidence map›Paper›PMID 34492010›Full record

ArticlePLoS computational biology2021

MicrobeTrace: Retooling molecular epidemiology for rapid public health response.

Ellsworth M Campbell, Anthony Boyles, Anupama Shankar, Jay Kim, Sergey Knyazev, Roxana Cintron, William M Switzer

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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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

7 authors.

Ellsworth M CampbellCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-9535-4420
Anthony BoylesNorthrup Grumman, Atlanta, Georgia, United States of America.ORCID 0000-0002-4448-0822
Anupama ShankarCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0003-4453-818X
Jay KimNorthrup Grumman, Atlanta, Georgia, United States of America.
Sergey KnyazevCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0003-0385-1831
Roxana CintronCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0002-0765-1186
William M SwitzerCenters for Disease Control and Prevention, Atlanta, Georgia, United States of America.ORCID 0000-0003-4591-8731

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outbreak investigations use data from interviews, healthcare providers, laboratories and surveillance systems. However, integrated use of data from multiple sources requires a patchwork of software that present challenges in usability, interoperability, confidentiality, and cost. Rapid integration, visualization and analysis of data from multiple sources can guide effective public health interventions. We developed MicrobeTrace to facilitate rapid public health responses by overcoming barriers to data integration and exploration in molecular epidemiology. MicrobeTrace is a web-based, client-side, JavaScript application (https://microbetrace.cdc.gov) that runs in Chromium-based browsers and remains fully operational without an internet connection. Using publicly available data, we demonstrate the analysis of viral genetic distance networks and introduce a novel approach to minimum spanning trees that simplifies results. We also illustrate the potential utility of MicrobeTrace in support of contact tracing by analyzing and displaying data from an outbreak of SARS-CoV-2 in South Korea in early 2020. MicrobeTrace is developed and actively maintained by the Centers for Disease Control and Prevention. Users can email microbetrace@cdc.gov for support. The source code is available at https://github.com/cdcgov/microbetrace.

Indexed as

Data VisualizationSoftwareCenters for Disease Control and Prevention, U.S.Communicable DiseasesDisease OutbreaksHumansMolecular EpidemiologyPublic HealthUnited States

Identifiers

PMID34492010
PMCPMC8491948

What OpenQuestion holds

Textmetadata
LicenceCC0
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.