Control of Malaria by Blocking Transmission of Plasmodium
Bibliographic record
Abstract
Malaria is a major global health problem with the greatest burden in sub-Saharan Africa (sSA). Unfortunately, Nigeria accounts for 25 percent of the world’s malaria burden and it accounts for more deaths than HIV/AIDS. The causative agent of malaria is plasmodium species. This paper reviews the current approaches to inhibiting plasmodium transmission, and the phyto active compound currently in use in the sSA (particularly in Nigeria) with the goal to ameliorate the high incidence of malaria and to correlating it with recent progress and scientific understanding. Using search engines, several databases including Google scholar, Pub Med, Academic Resource Index, Scopus, etcetera, were utilized to source for relevant publications and literatures. The complex life cycle of the Plasmodium species (causative agent of malaria) gives room for measures that can disrupt its completion. Several methods are currently being tested and experimented on to disrupt the parasite transmission. The disruption of a cell surface transport protein, Feline Leukemia Virus subgroup C Receptor (FLVCR) that pumps heme out of the cell; Gene silencing-techniques used to reduce the levels of FLVCR in the mosquito gut; Prevention of the interaction between the plasmodium TRAP and the Anopheles Saglin protein, which aid the malaria parasite invasion of the mosquito salivary gland; Prevention of the Interaction of Surface Enolase and Plasminogen of Mammalian Blood, disrupting an important role in ookinete invasion of the mosquito midgut; the use of Plants with antimicrobial peptides(cyclotide), that possess structural similarities to SM1 peptide, an inhibitor of plasmodium TRAP-saglin binding;and Use of Phyto-Active Compounds to Block Plasmodium Transmission. These approaches are novel methods in the control and transmission of plasmodium species/malaria. Chemically, phytochemicals with structural similarities to artemisinin, (asesquiteterpene lactone containing an unusual peroxide bridge) is thought of to be present in certain plants with antimalarial and other medicinal value.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".