Future directions for notifiable diseases: tuberculosis-related laws in the Philippines
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".