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Record W4230397207 · doi:10.12688/f1000research.4812.1

Soil-transmitted helminths are a serious but understudied health concern in South Africa, requiring immediate attention from the scientific community.

2014· preprint· en· W4230397207 on OpenAlexafffund
Hannah O. Ajoge, Stephen O. Olonitola, David Roy Smith

Bibliographic record

VenueF1000Research · 2014
Typepreprint
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of CanadaNational Research Foundation
KeywordsTuberculosisHelminthsEnvironmental healthNeglected tropical diseasesHuman immunodeficiency virus (HIV)MedicineImmunologyPublic health

Abstract

fetched live from OpenAlex

Parasitic roundworms and flatworms, defined broadly as helminths, are estimated to infect over 1 billion people worldwide, and are particularly prevalent in developing, resource-strained communities. The consequences of these infections are immense and wide reaching, resulting in massive reductions in local and global economic productivity and contributing to millions of deaths per year. Helminth diseases can also reduce vaccine efficacy and heighten morbidity rates of other serious illnesses, including tuberculosis and HIV/AIDS. Here, we argue that South Africa, which has one the highest rates of both HIV/AIDS and helminth infections on earth, needs to allocate more energy and resources into studying soil-transmitted helminths. Using PubMed and GenBank statistics, we show that the current South African research output on soil-transmitted helminths pales in comparison to that on HIV and tuberculosis. Basic research on helminth biology as well as on the social and environmental effects associated with infections could greatly reduce the burden of HIV/AIDS, tuberculosis, and other major illnesses in South Africa and beyond. The onus is on scientists, funding agencies, and governing bodies to channel efforts into studies on soil-transmitted helminths.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0000.001

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 head0.116
GPT teacher head0.369
Teacher spread0.253 · 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.

Study designObservational
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

Citations0
Published2014
Admission routes2
Has abstractyes

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