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Record W2553346163 · doi:10.18192/riss-ijhs.v6i1.1491

An Overview of the Malaria Epidemic in Sub-Saharan Africa

2016· article· en· W2553346163 on OpenAlexaffvenue
Sandra Konji

Bibliographic record

VenueRevue interdisciplinaire des sciences de la santé - Interdisciplinary Journal of Health Sciences · 2016
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMalariaMedicineDiseaseEnvironmental healthHealth careTransmission (telecommunications)ArtemetherEconomic growthImmunologyArtemisininPlasmodium falciparum

Abstract

fetched live from OpenAlex

Malaria is a parasitic disease that is transmitted by mosquitos during their blood meal. The risk of contracting malaria is highest for people in tropical countries, due to the ever-present humid weather that allows yearly infections. Consequently, sub-Saharan Africa has a disproportionately higher rate of death among women and children with malaria. One of the major barriers identified in the efficacy of malaria treatment and prevention is the lack of health education and literacy. The lack of health education has decreased the efficacy of antimalarial drugs, such as Artemether Lumefantrine, due to the distribution and administration of the drug by untrained persons. The lack of incidence and prevalence data makes it difficult to ensure adequate supply of the drug in endemic countries. Furthermore, the lack of knowledge of malaria pathogenesis and transmission has prevented many from promptly seeking treatment and practicing preventative care methods. Recently, the implementation of health education programs by international organizations has allowed local and travelling healthcare practitioners to be educated on the disease and methods of antimalarial drug administration.

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)0.019
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0190.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.007
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
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 head0.097
GPT teacher head0.461
Teacher spread0.363 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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