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Record W4414258304 · doi:10.1101/2025.09.11.25335305

“It left me burnt”: traditional treatment and stigma experiences of cutaneous leishmaniasis in Kalu district, Ethiopia

2025· preprint· en· W4414258304 on OpenAlexaff
Teklu Cherkose, Kibur Engdawork, Maria Zuurmond, Abebaw Yeshambel Alemu, Fikregabrail Aberra Kassa, Saba M. Lambert, Zenebu Begna, Katherine E. Halliday, Tara Mtuy, Yohannes Hailemichael, Michael Marks, Mirgissa Kaba, Endalamaw Gadisa, Stephen L. Walker, Jennifer Palmer

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsPsychological interventionDiseaseStigma (botany)PopulationQualitative researchSocial stigmaDistressContent analysis

Abstract

fetched live from OpenAlex

Abstract Background Cutaneous leishmaniasis (CL) is a major public health issue in Ethiopia, often causing lesions on the cheeks, nose, and lips that take months to heal, and leave permanent scars. Data on the lived experiences of people with CL in Ethiopia is needed to support design of interventions that could respond to their needs. Methods We interviewed 18 people with active or healed CL to understand their experiences of the disease in Kalu district, South Wollo, Ethiopia. Interviews were audio recorded, transcribed and translated for content analysis which focused on experiences of symptoms, treatment and the consequences of living with CL. Results Experiences of CL symptoms and treatments used by people with CL in Kalu were associated with physical discomfort and significant emotional distress. CL began with pain, pruritus, bleeding and ulceration. Most people with CL used painful treatments such as plant-based traditional medicines which irritated the skin or heat to cauterize lesions at home or by traditional healers and expressed dissatisfaction at being left “burnt” but not healed. During treatment, individuals reported abstaining from sexual intercourse as this was believed to worsen CL; people also avoided contact with others who’d recently had sex. Individuals with CL experienced psychological distress, reduced self-worth, and self-exclusion from social participation due to anticipated or experienced stigma, fear of spreading the disease and worsening their own disease. Conclusions Community engagement strategies to promote early case detection and treatment at health facilities should acknowledge the specific fears, informational needs and challenges that shape existing care-related behaviours of people with CL. Providing information about the safety of common traditional treatments and correct information about contagiousness are key areas that public health programmes could address to reduce some of the disease’s impacts. Existing cultural attitudes that emphasize shared vulnerability to CL and underlie non-stigmatizing behaviors could also inform stigma interventions. Author summary Ethiopia is significantly affected by all forms of leishmaniasis. Cutaneous leishmaniasis (CL) is a significant public health problem with an estimated incidence of 50 000 annually. The skin lesions mostly appear on the face. The visible changes caused by the disease have considerable implications on the psychosocial wellbeing of affected people. This study aimed to understand how people affected by CL make sense of signs and symptoms, locally available treatments and the consequences of living with the disease. People affected by CL in Kalu, Ethiopia experienced physical and emotional discomfort in relation to signs and symptoms and traditional treatments applied. Change in appearance, fear, sadness, anxiety, stigma and abstinence from sexual intercourse were reported as consequences of living with CL. To reduce some of the disease’s impacts, our findings imply the need for interventions to target key cultural beliefs that inform needs and behavior of the affected people.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.005
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.059
GPT teacher head0.328
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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