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Record W2041486376 · doi:10.5539/gjhs.v2n2p142

Impact of Hiv/Aids Morbidity on Households Economy in Malaysia

2010· article· en· W2041486376 on OpenAlexvenueno aff
Khalid Y. Ghailan, M. Rizal A. Jusoh, Jalal Halil S. Aljunid F. Ibrahim

Bibliographic record

VenueGlobal Journal of Health Science · 2010
Typearticle
Languageen
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsAbsenteeismSocioeconomic statusProductivityHuman immunodeficiency virus (HIV)Investment (military)Economic costBusinessHealth carePerspective (graphical)MedicineEnvironmental healthEconomic growthEconomicsPopulationFamily medicinePolitical science

Abstract

fetched live from OpenAlex

Cost to mitigate HIV/AIDS outcomes and information on household socioeconomic impact in Malaysia are very limited, despite their importance to guide key policy decisions. This study aimed to identify the economic impact of chronic adult HIV morbidity, specifically to estimate cost of care from households’ perspective. Median out of pocket health expenditure per patient per year is RM1 080 representing 14.7% of patient’s median income. (Note 1) Productivity loss due to absenteeism and stoppage of works were RM 900 and RM10 800 respectively. The overall HIV/AIDS related cost from household economic perspective appeared to be substantial in this analysis. It reached RM RM359 million representing 0.06% of Malaysian GDP in 2007.An important policy implication is to ensure proper resource allocation to manage and control HIV/AIDS, more investment on training and to ensure that households can support themselves and meet their medical care needs without jeopardizing the wellbeing and future of other household members.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.040
GPT teacher head0.410
Teacher spread0.371 · 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 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

Citations13
Published2010
Admission routes1
Has abstractyes

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