Influenza a (H1N1) outbreak and challenges for pharmacotherapy.
Bibliographic record
Abstract
Influenza A (H1N1) virus, a genetic reassortment of endemic strain of human, avian flu and swine flu, with an inherent ability to mutate continuously has developed a subtype which is causing present flu in humans. As on 10th May, 2009, twenty nine countries are affected with officially reported 4379 cases with Mexico--1626 affected (45 deaths), US 2254 affected (02 deaths); Canada 280 (01 deaths) and Costa Ricia -8 cases (01 death) respectively. Rest of 15 countries have reported less than 100 officially confirmed cases of H1N1 infection. WHO has already declared Pandemic Alert V on 29th April, 2009. If the present flu achieves equivalent virulence to that of 1918-19 pandemic flu, expected deaths will be 62 million people. Travel advisory, stockpiling of antiviral drugs--Tamiflu & Relenza; vaccine development, activation of business continuity planning for maintenance of essential serives etc., are some of the important mitigation approaches, being followed all over the world. WHO has a regional reserve of 10,000 million doses of anti-viral drugs. National Disaster Management Authority (NDMA), Government of India, an apex body for disaster management, in active coordination with Ministry of Health & other stakeholders/service providers is maintaining a constant state of vigil on the present Influenza A (H1N1) outbreak. In collaboration with UNDMT, NDMA has outlined a strategy for Pandemic Preparedness beyond Health in April, 2008. Various non-pharmaceutical interventions like detection, isolation and quarantine are required to contain the situation. Accordingly, stockpiling of 10 million doses of anti viral drugs, surveillance at airports, isolation with strict enforcement of quarantine procedures, sustained supply of respiratory masks & other personal protective equipment; deployment of rapid response teams are some of the activities being undertaken by Indian Government proactively. As situation goes to Phase VI, there will be a shift in strategy from active surveillance, detection and quarantine to containment, treatment, prevention of spread of disease and maintenance of business continuity beyond health sectors. The major concern is to utilise this latency period, between phase V and VI, to fill the gaps in state of preparedness. It is also essential to focus on development/procurement of appropriate vaccine to manage the situation arising from any further mutation of the existing causative virus to be resistant against existing anti viral therapies. It is a continued effort which can save many lives around the world and everyone has to play its assigned role effectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".