"Factors Influencing Possession and use of Insecticide- Treated Nets: Introducing a New Aspect Among Economic Determinants"
Bibliographic record
Abstract
Background: The coverage and use rates of insecticide-treated nets (ITNs) are still below the universal coverage targets in malaria-affected countries.Many factors are held responsible of these low rates and numerous studies have been conducted to bring them out.Unfortunately, less attention has been given to purely economic aspects of ITNs acquisition and use.There is lieu to recall that, besides mass distribution campaigns, ITN is a normal product in the marketplace, obeying to the law of supply and demand.As such, any factors influencing the supply and the demand of ITNs are likely to influence their use and deserve further attention.We conduct this study as a pilot one to introduce this new aspect in improving ITNs coverage and use.Methods: A sample of 366 respondents was randomly selected among students from the University of Kinshasa student residences to conduct a descriptive crosssectional study through a multi-stage sampling process.A questionnaire was planned and directly addressed to surveyed students.Perception of respondents on ITNs demand, supply, and market type was recorded and results were presented in frequencies and percentages.Results: With a response rate of 100%, we found that ITNs coverage and use rates were 37.2% and 29.0% respectively.ITNs demand is likely to increase if consumers' preferences were increased, as for 66.7% of respondents.ITNs supply, in contrast, will increase if the price were raised up (57.9%), production procedures were improved (69.9%), and special influences come into existence (66.9%), describing ITNs manufacturers as pure profits seekers and decreasing consumers' willingness to purchase the product.On the other hand, ITNs market is considered imperfect competitive, characterized by such unattractive features as products inhomogeneity (61.7%), access restriction (53.8%), law of supply and demand inapplicability (72.1%), and lack of transparence (94.5%), decreasing the purchasing willingness of ITNs.Conclusion: Resorting to the commercial sector is necessary in achieving universal coverage and use of ITNs.Public health professionals should take into account these new aspects of ITNs use determinants while developing malaria control interventions.They can enhance ITNs attractiveness to increase the demand, sensitize populations about their perception on ITNs supply, and improve ITNs market conditions so as to increase the acquisition and use of this precious material between mass distribution campaigns and control malaria effectively.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".