Correlation Between West Nile Virus and Pregnancy: A Systematic Review
Bibliographic record
Abstract
BACKGROUND: West Nile Virus [WNV] is a mosquito-borne flavivirus. It has spread globally, causing asymptomatic to severe neurological diseases in humans, with an increased risk in older adults and those with underlying conditions. This review examines WNV's impact on pregnancy, focusing on maternal and neonatal symptoms and risks. METHODS: This systematic review included primary studies from "PUBMED" and "SCOPUS" databases, as well as Google and Google Scholar, conducted in July 2024 using the appropriate keywords. This review adhered to PRISMA guidelines and utilized the Newcastle-Ottawa scale for bias assessment. RESULTS: Seven primary studies were included in the systematic review. Fever was the predominating symptom, including neurological manifestations, respiratory symptoms, myalgia, weakness, nausea, vomiting, and rashes. Delivery, in most cases, progressed without any complications, while no infection was noted. Most of the neonates had a normal Apgar score, and their developmental functions did not seem to be affected. Even though, antibodies against WNV were detected in breast milk, no association with transmission to the neonate was observed. CONCLUSIONS: WNV infection is mostly associated with favorable outcomes during pregnancy. However, larger cohorts are needed to confirm our conclusions. Prompt diagnosis and public health surveillance are pivotal to eliminate disease transmission.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".