Evidence map›Paper›PMID 39764202›Full record

ArticleInfection ecology & epidemiology2025

Evidence of multiple bacterial, viral, and parasitic infectious disease agents in

Samuel Munalula Munjita, Annie Kalonda, Benjamin Mubemba, Manu Vanaerschot, Cristina Tato, Lusajo Mwakibete, John Tembo, Simbarashe Chitanga, Katendi Changula, Masahiro Kajihara and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Infection ecology & epidemiology, 2025. 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

16 authors.

Samuel Munalula MunjitaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.ORCID https://orcid.org/0000-0002-8638-9373
Annie KalondaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.
Benjamin MubembaDepartment of Wildlife Sciences, Copperbelt University, Kitwe, Zambia.
Manu VanaerschotChan-Zuckerberg Biohub, San Francisco, CA, USA.
Cristina TatoChan-Zuckerberg Biohub, San Francisco, CA, USA.
Lusajo MwakibeteChan-Zuckerberg Biohub, San Francisco, CA, USA.
John TemboHerpeZ, University Teaching Hospital, Lusaka, Zambia.
Simbarashe ChitangaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.
Katendi ChangulaDepartment of Paraclinical Studies, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Masahiro KajiharaDivision of International Research Promotion, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Japan.
Walter MuleyaDepartment of Biomedical Sciences, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Hirofumi SawaOne Health Research Center, Hokkaido University, Sapporo, Japan.
Ayato TakadaOne Health Research Center, Hokkaido University, Sapporo, Japan.
Matthew BatesHerpeZ, University Teaching Hospital, Lusaka, Zambia.
Sody MunsakaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.
Edgar SimulunduMacha Research Trust, Choma, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Infectious disease agents pose significant threats to humans, wildlife, and livestock, with rodents carrying a third of these agents, many linked to human diseases. However, the range of pathogens in rodents and the hotspots for disease remain poorly understood. Aim: This study evaluated the prevalence of viral, bacterial, and parasitic pathogens in Methods: The study applied metagenomic next generation sequencing (mNGS). Tissues analysed included semen, foetal tissues, and blood-rich organs (liver, spleen, kidneys, and lungs). A multivariate logistic regression model explored the relationship between pathogen presence and host or ecological factors. Results: A total of 182 rodents were captured, and 14 pathogens were detected in 10.4% of the samples (19/182). Detected organisms included zoonoses ( Conclusion: These results suggest that M. natalensis harbours multiple infectious agents with zoonotic potential, and riverine regions may be key hotspots for rodent-borne pathogens in Zambia.

Indexed as

HotspotsRiverine areasRodentsSemenZambiaZoonoses

Identifiers

PMID39764202
PMCPMC11703479

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.