Evidence map›Paper›PMID 42741334›Full record

ArticleFrontiers in public health2026

Genomic and ecological systems-thinking framework for pathogenic

Ammar Yasir, Gillian A M Tarr, Claudia Munoz-Zanzi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ammar YasirDivision of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, United States.
Gillian A M TarrDivision of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, United States.
Claudia Munoz-ZanziDivision of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Leptospirosis is a complex zoonotic disease requiring high-resolution surveillance. A systems-thinking framework was used to connect genomic and ecological data and map the geographic and host-based structuring of co-circulating pathogenic Methods: Forty-four core genomes of Results: Conclusion: Co-circulating pathogenic leptospires occupy distinct ecological niches shaped by varying host restriction and environmental persistence. Fixed genomic thresholds lack universal applicability; effective genomic epidemiological surveillance must employ species-specific threshold calibration to accurately map transmission pathways.

Indexed as

LeptospiraLeptospirosisAnimalsGenome, BacterialGenomicsHumansLeptospira interrogansPolymorphism, Single NucleotidePuerto RicoZoonosesecologygenomic epidemiologyLeptospira borgpeterseniiLeptospira interrogansLeptospira kirschneriSNP threshold calibrationspatiotemporal analysissystems thinking

Identifiers

PMID42741334
PMCPMC13572634

What OpenQuestion holds

Textmetadata
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.