LONG-LASTING INSECTICIDE NETS OWNERSHIP AND MALARIA MORBIDITY IN KRACHI EAST MUNICIPALITY, GHANA
Bibliographic record
Abstract
Abstract Background: Malaria-related morbidity and mortality are issues of great concern to public health globally though, a higher proportion of cases reside within Sub-Saharan Africa. The situation in Ghana though not new, is very disturbing, as millions of people especially children and pregnant women suffer severely from malaria. Seasonal chemoprevention and indoor residual spraying are among many measures deployed in the northern parts of Ghana with nationwide outreach and point distribution of LLINs across the country but reports from OPDs indicate millions of malaria cases annually. Objective: To identify the levels of ownership and usage of the treated bed nets, and describe the relationship between ownership of LLINs and malaria morbidity. Methods: The 30-cluster sampling method was deployed. Using both a modified WHO EPI survey method for more rural areas and a random walk sampling for more urban areas, each community had a listed starting point where the use of a spun pen determined the direction to conduct the surveys within the specified cluster. Selected households’ heads/representatives (any adult aged 18 years and above, in a household where the head is absent) participated voluntarily. STATA version 16.0 was used to run the statistical analysis and the results were presented in tables and figures. Results: Findings revealed high levels of ownership of LLINs (73.4%) but moderately low usage levels (49.5%). Some other uses of LLINs (22.9%) aside from sleeping under them were identified. Malaria morbidity (59.6%) was also determined. Multivariate analysis results revealed statistically significant association between some socio-demographic characteristics and LLINs ownership including female sex (AOR = 2.1 (95% CI: 1.15, 3.87) p=0.016), being married (AOR = 3.4 (95% CI: 1.76, 6.74) p<0.001), cohabiting (AOR = 6.1 (95% CI: 2.15, 17.02) p=0.001) and being separated or divorced (AOR = 9.4 (95% CI: 1.09, 81.27) p=0.041). A positive correlation was identified between ownership of LLINs and their usage, however both ownership and usage had no influence on malaria morbidity. Conclusion: The study highlights a high ownership rate but lower usage of Long-Lasting Insecticidal Nets (LLINs), indicating the need to address barriers to consistent utilization. There is a significant burden of malaria within the surveyed population, emphasizing the importance of effective malaria control measures. Further research is required to validate the impact of LLINs ownership and sociodemographic characteristics on malaria morbidity.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".