The cost‐effectiveness of screening blood donors for malaria by PCR
Bibliographic record
Abstract
BACKGROUND: The cost-effectiveness of four blood donor screening strategies for malaria was estimated to determine whether transmission by transfusion can be reduced. STUDY DESIGN AND METHODS: A decision analysis model was developed to compare 1) not screening allogeneic blood donors for malaria (Strategy 1); 2) using the standard questionnaire (Strategy 2); 3) using the standard questionnaire followed by testing blood donors with risk factors for malaria with PCR (Strategy 3); and 4) screening all blood donors using PCR (Strategy 4). The expected costs and the number of cases of malaria for each strategy were compared and incremental cost-effectiveness ratios were calculated as the cost per case of malaria averted. All costs are in Canadian dollars. RESULTS: Strategies 2 and 3 had the same effectiveness but different costs, with Strategy 3 being less costly. Compared to Strategy 1, the incremental cost effectiveness ratio was 6463 dollars per case of malaria averted for Strategy 3. Strategy 4 resulted in less transmission of malaria (0.4/million donors), but the cost compared to Strategy 3 was 3,972,624 dollars per case of malaria averted. CONCLUSION: The addition of PCR to the standard screening questionnaire is economically attractive compared to the current standard screening questionnaire.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".