Evidence map›Paper›PMID 40018565›Full record

ArticleBMJ public health2024

Perceived drivers of the Ebola virus disease outbreak in Mubende and Kassanda districts, Uganda: a qualitative study.

Lesley Rose Ninsiima, Siobhan M Mor, Javier Sánchez Romano, Lydia Nabawanuka Namakula, Clovice Kankya, Joseph Kungu, Lawrence Mugisha, Jörn Klein, Luke Nyakarahuka

Abstract read
In one paragraph

Article in BMJ public health, 2024. 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

9 authors.

Lesley Rose NinsiimaDepartment of Biosecurity, Ecosystems and Veterinary Public Health, Makerere University, Kampala, Uganda.ORCID 0000-0003-3771-0527
Siobhan M MorUniversity of Liverpool, Liverpool, UK.
Javier Sánchez RomanoDepartment of Medical Biology, The Artic University of Norway, Tromsø, Norway.
Lydia Nabawanuka NamakulaDepartment of Disease Control and Environmental Health, Makerere University, Kampala, Uganda.
Clovice KankyaDepartment of Biosecurity Ecosystems and Veterinary Public Health, Makerere University College of Veterinary Medicine Animal Resources and Biosecurity, Kampala, Uganda.
Joseph KunguDepartment of Biosecurity, Ecosystems and Veterinary Public Health, Makerere University, Kampala, Uganda.
Lawrence MugishaDepartment of Wildlife and Aquatic Animal Resources, Makerere University, Kampala, Uganda.
Jörn KleinUniversity of South-Eastern Norway, Porsgrunn, Uganda.
Luke NyakarahukaDepartment of Biosecurity, Ecosystems and Veterinary Public Health, Makerere University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During the most recent Ebola virus disease (EVD) outbreak in Uganda, a cluster of community deaths with epidemiological linkages to the first reported case were identified to have occurred in Mubende, Kassanda and Kampala districts in September 2022. This study aimed to explore perceived drivers of EVD outbreak among affected communities in Mubende and Kassanda districts, Uganda. Methods: We conducted a descriptive qualitative and participatory epidemiology study using focus group discussions (n=4), in-depth interviews (n=12), key informant interviews (n=12) and participatory landscape mapping. The subcounties of Madudu (Mubende district) and Kikandwa (Kassanda district) were purposively selected within each district because Ebola cases were known to have occurred within these areas. The community expressed their own understanding and perceptions of the drivers of Ebola virus outbreak within these subcounties. Qualitative data were analysed using thematic content analysis in Nvivo V.12 software. Data were analysed using both inductive and deductive approaches, where codes, subthemes and themes in the data were merged with global themes. The results were interpreted in the context of the broader literature on the topic using the social-ecological model and the epidemiological triad using the specific experiences and insights of the study participants. Participant responses were categorised in terms of their themes. Results: A total of five themes were identified which described the perceived drivers of Ebola virus outbreaks. These included (1) individual: knowledge about EVD (source of the disease and fear due to death of some suspected cases); (2) interpersonal: perceived sources of Ebola virus spillover (ecological, anthropogenic, environmental and cultural); (3) community: impact of EVD to the community (economic loss and survivors lack of support from the government); (4) organisational: health system challenges in outbreaks (delayed laboratory results, poor recording and reporting systems in the facilities and poor surveillance); and (5) policy: recommendations (use of One Health approach and continuous sensitisation). Conclusions: This study underscores the complex interplay of factors shaping the dynamics of EVD. Understanding Ebola requires not only scientific knowledge but also an appreciation of sociocultural contexts and systemic vulnerabilities within health systems. We therefore recommend comprehensive approaches which integrate scientific expertise with community participation, strengthen health systems and foster collaboration across sectors to mitigate the impact of future outbreaks to address these challenges effectively. Additionally, raising awareness, sensitising the public and safeguarding natural habitats are crucial steps to mitigate the risk of future disease outbreaks.

Indexed as

Disease OutbreaksDisease Transmission, InfectiousEpidemicsEpidemiologic Research DesignPublic Health

Identifiers

PMID40018565
PMCPMC11816409

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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.