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Record W4411992231 · doi:10.1016/j.ssmqr.2025.100598

Lymphatic filariasis as an indigenous illness: the local context of a global disease

2025· article· en· W4411992231 on OpenAlexafffundabout
Jonathan Roberts, Kristi Heather Kenyon, Alexander Kwarteng, Emmanuel Kobla Atsu Amewu

Bibliographic record

VenueSSM - Qualitative Research in Health · 2025
Typearticle
Languageen
FieldMedicine
TopicParasitic Diseases Research and Treatment
Canadian institutionsUniversity of WinnipegUniversity of ManitobaMount Saint Vincent University
FundersCanadian Institutes of Health Research
KeywordsLymphatic filariasisIndigenousLymphatic systemContext (archaeology)DiseaseMedicineImmunologyFilariasisGeographyPathologyBiologyEcologyHelminths

Abstract

fetched live from OpenAlex

Lymphatic filariasis (LF), also known as elephantiasis, is a chronic disease that is devastating for patients, both bodily and socially. Besides the unbearable chronic pain, disfigured limbs, and loss of livelihood, people living with LF are stigmatized and sometimes abandoned by family. To ease the burden of people living with LF, known locally as gyepim or duba , the social and cultural aspects must be investigated in unison with the biomedical strategies already in place. As part of a multi-year pilot study in the Western Region of Ghana, funded by Canadian Institutes for Health Research, this article investigates the ways that traditional healers man the stigma associated with LF. Interviews were conducted in the local languages to collect data. These were transcribed and translated to English for thematic and content analysis. Preliminary findings indicate that the traditional healers of the Western Region of Ghana regard the illness within an indigenous worldview an ecology and history borne of the spiritual topography of Western Ghana. Healers, known as okomfoi , are conversant in the causes and outcomes of LF, and can offer varied diagnoses and cures for the disease within an indigenous framework. Additionally, they claim to do so without the need to antagonize allopathic practitioners. These insights demonstrate that thinking about LF as an indigenous ailment can offer new understandings of how we might eliminate this neglected tropical disease.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.138
GPT teacher head0.611
Teacher spread0.472 · 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 teacher head, 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".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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