Is malaria over-diagnosed? A world malaria day 2017 experience by excellence and friends management care centre (EFMC) and partners, Abuja Nigeria
Bibliographic record
Abstract
Malaria remains a major cause of mortality across the world, but particularly in sub-Saharan Africa. WHO-sponsored World Malaria Day activity has helped to improve education and has contributed to a reduction in mortality globally in the past decade. However, much needs to be done still in Africa. We report on a World Malaria Day scheme in three primary Healthcare Facilities in and around the Abuja Federal Capital Territory in Nigeria in 2017. Activity included educational talks to pregnant women and nursing mothers of young children, with malarial testing, distribution of free mosquito nets and also medical treatment if needed. We found a large clinical over-diagnosis of malaria with simple fevers of any cause being reported as malaria. None of these cases were found to be due to malaria on formal malarial testing. We conclude that efforts should continue into education and prevention of malaria with insecticide-impregnated mosquito nets a key factor. However, over-diagnosis of malaria and the use of unnecessary antimalarial treatment may lead to parasite resistance to antimalarial treatment, morbidity from drug side-effects and potential mortality from not receiving the right treatment for other febrile illnesses. We recommend that malarial testing, particularly with simple blood film microscopy is implemented more widely across Africa, as it is simple to perform and allows effective management plans to be drawn up for individual patients.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".