Evidence map›Paper›PMID 40359057›Full record

ArticleEmerging infectious diseases2025

Strategies and Opportunities to Improve Community Health through Advanced Molecular Detection and Genomic Surveillance of Infectious Diseases.

Jazmyn Moore, Ruth Sanon, Yury Khudyakov, Nathelia Barnes

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2025. 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. Review
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

4 authors.

Jazmyn Moore
Ruth Sanon
Yury Khudyakov
Nathelia Barnes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced molecular detection (AMD) refers to the integration of next-generation sequencing, epidemiologic, and bioinformatics data to drive public health actions. As new AMD technologies emerge, it is critical to ensure those methods are used in communities that are most affected by disease-induced illness and death. We describe strategies and opportunities for using AMD approaches to improve health in those communities, which include improving access to pathogen sequencing, increasing data linkages, and using pathogen sequencing for those diseases where sequencing technologies can provide the best health outcome. Such strategies can help address and prevent differences in health outcomes in various populations, such as rural and tribal communities, persons with underlying health issues, and other populations that experience higher risks for infectious disease.

Indexed as

Communicable DiseasesGenomicsPopulation SurveillancePublic HealthHigh-Throughput Nucleotide SequencingHumansbacteriabioinformaticscommunity healthcoronaviruscoronavirus diseaseCOVID-19disease outbreaksepidemiologic methodsepidemiologygenomicsHIV/AIDS and other retrovirusesinfectious disease outbreaksinformaticspublic healthpublic health informaticspublic health practicerespiratory infectionsSARSSARS-CoV-2severe acute respiratory syndrome coronavirus 2sexually transmitted infectionssurveillancetuberculosis and other mycobacteriaviruseswhole-genome sequencingzoonoses

Identifiers

PMID40359057
PMCPMC12078539

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.