Strain-level analyses of public sequencing data to characterize Escherichia coli strain sharing between children and chickens in Mozambique

strain was shared between 37/23,937 (0.15%) chicken-human pairs. This approach represents a novel method for assessing the scope of bacterial strain sharing between human and animal populations within a community.

Authors

Institutions

Publication Details

Journal
One Health
Published
2026-04-25
DOI
https://doi.org/10.1016/j.onehlt.2026.101429
Primary Topic
Escherichia coli research studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Strain-level analyses of public sequencing data to characterize Escherichia coli strain sharing between children and chickens in Mozambique

Amélia Mondlane-Milisse, Cecilie Thystrup, Kelsey J. Jesser, Karen M. Levy et al.
One Health
Escherichia coli research studies
article

Strain-level analyses of public sequencing data to characterize Escherichia coli strain sharing between children and chickens in Mozambique

Amélia Mondlane-Milisse, Cecilie Thystrup, Kelsey J. Jesser, Karen M. Levy, Tine Hald, Maya Nadimpalli, Natalie Olson, Frederica Smith, Denise R.A. Brito, Matthew Freeman, Joaquim Saíde, José Fafetine, Hermógenes Mucache, Joe Brown
article en

Abstract

strain was shared between 37/23,937 (0.15%) chicken-human pairs. This approach represents a novel method for assessing the scope of bacterial strain sharing between human and animal populations within a community.

One HealthVol. 22
University of North Carolina at Chapel Hill (US), Emory University (US), Eduardo Mondlane University (MZ), University of Washington (US), Technical University of Denmark (DK)
Bill and Melinda Gates Foundation, Emory University, National Institute of Environmental Health Sciences, Division of Microbiology and Infectious Diseases, National Institute of Allergy and Infectious Diseases
Zero hunger
Openalex Percentile: Top 13%
Escherichia coli research studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.