Evidence map›Paper›PMID 41480016›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Reducing spatial clustering to prevent tuberculosis transmission in a busy Zambian hospital: a modelling study based on person movements, environmental and clinical data.

Nicolas Banholzer, Guy Muula, Fiona Mureithi, Esau Banda, Pascal Bittel, Lavinia Furrer, David Kronthaler, Remo Schmutz, Matthias Egger, Carolyn Bolton and 1 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 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

11 authors.

Nicolas BanholzerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0003-0138-6120
Guy MuulaCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Fiona MureithiCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Esau BandaCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Pascal BittelInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.
Lavinia FurrerInstitute for Infectious Diseases, University of Bern, Bern, Switzerland.
David KronthalerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
Remo SchmutzInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0009-0008-3207-8052
Matthias EggerDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Switzerland.
Carolyn BoltonCentre for Infectious Disease Research in Zambia (CIDRZ), Lusaka, Zambia.
Lukas FennerInstitute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.ORCID 0000-0003-3309-4835

Funding

Observational Antiretroviral Studies In Southern Africa (OASIS) CollaborationU01AI069924 · NIAID · UNIVERSITAT BERN · PI Cleophas Chimbetete, Mary-Ann Davies · 2006 to 2026
$55.9M
NIAID NIH HHS U01 AI069924
6 · The paper itself

Abstract

Background: Hospitals in high-burden tuberculosis (TB) settings are important sites of Methods and findings: From June to August 2024, we prospectively collected clinical data on presumptive (symptom-based screening) and confirmed (Xpert-positive, chest X-ray) TB patients, indoor CO Conclusions: In this high-burden, well-ventilated hospital, short-range exposure remained a driver of airborne

Indexed as

airborne transmissionindoor crowdingmycobacterium tuberculosisperson-trackingphysical proximityWells-Riley model

Identifiers

PMID41480016
PMCPMC12755300

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.