Evidence map›Paper›PMID 40769875›Full record

ArticleIndustrial health2026

Poor preparedness of congolese healthcare workers for Ebola during the 10th outbreak (2018-2020).

Basilua Andre Muzembo, Chisato Hayashi, Kei Kitahara

Abstract read
In one paragraph

Article in Industrial health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Basilua Andre MuzemboResearch Institute of Nursing Care for People and Community, University of Hyogo, Japan.
Chisato HayashiResearch Institute of Nursing Care for People and Community, University of Hyogo, Japan.
Kei KitaharaCollaborative Research Centre of Okayama University for Infectious Diseases in India at ICMR-NICED, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a hospital-based survey among frontline healthcare workers (HCWs) in Kinshasa, Democratic Republic of Congo (DRC) during the peak of the 2018-2019 Ebola outbreak. This study aimed to assess HCWs' knowledge, preparedness, and practices regarding the management of suspected Ebola cases, considering the challenges faced by hospitals in Kinshasa. A total of 290 HCWs from 72 healthcare facilities participated in the study (response rate: 83.0%). While all HCWs were aware of Ebola, significant knowledge gaps were identified, particularly regarding transmission routes and clinical symptoms. Only 16% of the participants had received formal Ebola training, and those who received training reported greater confidence in managing suspected cases. Notably, only 28% of HCWs were aware that Ebola could be transmitted through traditional funeral ceremonies and 34% were aware of transmission through contact with contaminated clothing. Adherence to standard precautions, such as hand hygiene (72%) and glove use (63%), was suboptimal, and 47% of the healthcare facilities lacked designated triage areas. These findings emphasize the need for targeted training, better adherence to precautions, and reinforced healthcare infrastructure. Addressing knowledge gaps, especially regarding transmission through funeral practices and contaminated clothing, and enhancing frontline HCWs' preparedness are crucial for improving responses to future Ebola outbreaks and other emerging infectious diseases.

Indexed as

Disease OutbreaksHealth Knowledge, Attitudes, PracticeHealth PersonnelHemorrhagic Fever, EbolaAdultDemocratic Republic of the CongoFemaleHumansMaleMiddle AgedSurveys and QuestionnairesEbolaHealthcare workersKinshasaKnowledge gapsPreparednessStandard precautionsTrainingTransmission

Identifiers

PMID40769875
PMCPMC12989273

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.