Evidence map›Paper›PMID 41465787›Full record

ReviewLife (Basel, Switzerland)2025

Genomics in Epidemiology and Disease Surveillance: An Exploratory Analysis.

Shraddha Tiwari, Thakur Dhakal, Baek-Jun Kim, Gab Sue Jang, Yeonsu Oh

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2025. 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. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Convergent evolution of ST2 and ST164 mediates dissemination of the blaAnnals of clinical microbiology and antimicrobials · 2026
    Article
  8. Review
  9. Methicillin-ResistantInternational journal of molecular sciences · 2026
    Review
  10. 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

5 authors.

Shraddha TiwariDepartment of Life Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Thakur DhakalDepartment of Life Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea.ORCID 0000-0002-8141-7136
Baek-Jun KimNational Institute of Ecology, Seocheon 33657, Republic of Korea.
Gab Sue JangDepartment of Life Sciences, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Yeonsu OhCollege of Veterinary Medicine and Institute of Veterinary Science, Kangwon National University, Chuncheon 24341, Republic of Korea.ORCID 0000-0001-5743-5396

Funding

Government-wide R&D to Advance Infectious Disease Prevention and Control, Republic of Korea RS-2023-KH140418
6 · The paper itself

Abstract

Genomics has revolutionized epidemiology and disease surveillance by providing powerful tools for identifying, tracking, and analyzing pathogens at the molecular level. This exploratory analysis examines the integration of genomic with traditional epidemiological approaches, highlighting the role of whole-genome sequencing as a key method for pathogen identification, outbreak investigation, and understanding transmission dynamics. By enabling the detection of mutations and monitoring of antimicrobial resistance, genomics allows for precise mapping of infection sources and transmission pathways, thereby improving the timeliness and accuracy of public health responses. Furthermore, genomic surveillance supports the early detection of emerging variants, such as those observed during viral outbreaks like COVID-19, facilitating proactive intervention strategies. Despite its transformative potential, challenges related to data privacy, infrastructure, and interdisciplinary collaboration persist. This analysis emphasizes the importance of genomics in building resilient surveillance systems to address future infectious disease threats and advocates for sustained investment in genomic technologies to advance global health security.

Indexed as

disease surveillanceepidemiologygenomicspublic healthwhole-genome sequencing

Identifiers

PMID41465787
PMCPMC12733776

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.