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Record W2888349198 · doi:10.1186/s12992-018-0405-2

Future directions for notifiable diseases: tuberculosis-related laws in the Philippines

2018· review· en· W2888349198 on OpenAlexaboutno aff
Yuri Lee

Bibliographic record

VenueGlobalization and Health · 2018
Typereview
Languageen
FieldMedicine
TopicTuberculosis Research and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsNotifiable diseasePublic healthCommunicable diseaseLegislationGovernment (linguistics)MedicineTuberculosisEnvironmental healthHealth policyLegislatureDeveloping countryEconomic growthPolitical scienceLawPopulation

Abstract

fetched live from OpenAlex

BACKGROUND: With the increasing burden of tuberculosis (TB) in the Philippines, and the risk of multidrug resistance to TB, there is a need to strengthen the surveillance system. In many countries, cases of TB are reported to health authorities, and reporting is an effective way to manage TB. Although TB is a universal and representative reportable disease, the Philippines does not designate it as a notifiable disease. MAIN TEXT: This study aimed to review and compare current communicable disease-related laws and regulations in the Philippines with relevant international laws and regulations in other countries, to highlight where current TB notification regulations require change, or to determine whether they reflect global trends. Furthermore, we aimed to have TB included along with other communicable diseases on the list of legally required notifiable diseases in the Philippines. We reviewed current TB-related laws, acts of parliament, executive orders, presidential decrees, administrative orders, and memorandums. We undertook a literature review of relevant World Health Organization documentation, with 17 countries selected for comparison. Data on reported TB cases in the Philippines were obtained from health authorities, and health legislation data from foreign countries was collected from a public law database or from the government websites of each country. Most of the selected countries have a legislative basis for regulating notifiable diseases. In many countries, including Australia, Canada, China, Kiribati, Nauru, Niue, New Zealand, the Republic of Korea, Singapore, the United Kingdom, and Vanuatu, laws on communicable disease notification include TB notification. Our results suggest that notification of communicable diseases should be enforced through domestic health legislation. CONCLUSION: To align the Philippines with standard practice in the selected countries, TB could be included on the list of notifiable diseases in one of two ways. First, the current regulation "Revised List of Notifiable Diseases, Syndromes, Health-related Events and Conditions of 2008" could be revised to include TB. Second, new TB regulations could be introduced and implemented. Any revisions or new regulations should specify methods to identify and manage TB, and safeguard individual rights.

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)0.022
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.058
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.050
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0090.010
Science and technology studies0.0030.004
Scholarly communication0.0060.014
Open science0.0030.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0250.002

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 head0.074
GPT teacher head0.435
Teacher spread0.362 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2018
Admission routes1
Has abstractyes

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