Zika Virus Knowledge: A Study of Pregnant Women Attending the Antenatal Clinic at a Local Health Center in Trinidad and Tobago
Bibliographic record
Abstract
BACKGROUND & AIM: The ZIKV is a major public health concern and has the potential to cause a pandemic. Health knowledge is a critical factor in the prevention of the ZIKV. This study aims to ascertain the knowledge levels of the antenatal women attending the antenatal clinic at the Sangre Grande Health Center Trinidad, regarding the ZIKV and its implications as well as to determine the socio-demographic factors that influence their knowledge.MATERIAL & METHODS: A descriptive study was conducted. 69 pregnant women were randomly selected from registers of attendance at the clinic on days of data collection. The researchers-designed and pre-tested questionnaire was utilized for data collection. Using the SPSS version 20, results were presented as frequencies.RESULTS: Most of the participants (98.6%) were of the reproductive age, 18 to 40 years and mainly of mixed ethnicity. The majority of the population had secondary school education and mostly married or in common law relationships. Knowledge of the ZIKV was mostly adjudged moderate; the majority had low knowledge on the implications of the ZIKV. A weak positive correlation (p≤ 0.05) was noted between the educational levels of the participants and their knowledge of the ZIKV as well as between ages of the participants and their levels of knowledge of the implications of ZIKV (p≤ 0.050). CONCLUSION: The study showed that the pregnant women had moderate knowledge levels of Zika but not a corresponding knowledge on the implications of the conditions. Healthcare geared at increasing the knowledge level of ZIKV and its implications among the populace is recommended. The development of health education and health promotion programs that target disease prevention and control are principal components necessary for success against the ZIKV and its implications.
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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".