Seroepidemiology of <i>Toxoplasma gondii</i> Infection in Women of Reproductive Age: A Cross-Sectional Study in a Northwestern Mexican City
Bibliographic record
Abstract
Background: Through a cross-sectional survey, we determined the seroprevalence and correlates of Toxoplasma gondii ( T. gondii ) infection in women of reproductive age in Hermosillo City, Mexico. Methods: We studied 445 women of reproductive age in Hermosillo City in the northwestern Mexican state of Sonora. Women were enrolled in the University of Sonora. Sera of women were examined for IgG and IgM antibodies to T. gondii by commercially available enzyme immunoassays. The association of T. gondii seropositivity with the characteristics of the pregnant women was determined by bivariate and multivariate analyses. Results: Of the 445 women (mean age: 22.18 ± 5.6 years) studied, 16 (3.6%) had IgG antibodies to T. gondii , and two (12.5%) were also positive for IgM antibodies to T. gondii . Of the 16 anti- T. gondii IgG-positive women, six (37.5%) had IgG levels higher than 150 IU/mL, four (25.0%) between 100 and 150 IU/mL, and six (37.5%) between 9 and 99 IU/mL. Multivariate analysis of socio-demographic and behavioral variables showed that T. gondii seropositivity was associated with older age (odds ratio (OR): 5.30; 95% confidence interval (CI): 1.37 - 20.50; P = 0.01) and boar meat consumption (OR: 6.86; 95% CI: 1.27 - 37.07; P = 0.02). Conclusions: Women of reproductive age in Hermosillo City had a low seroprevalence of T. gondii infection. However, this finding indicates that most of these women were susceptible to a primary infection. Factors associated with T. gondii infection found in this study may be useful for the optimal planning of preventive measures against T. gondii infection and its sequelae. J Clin Med Res. 2018;10(3):210-216 doi: https://doi.org/10.14740/jocmr3284w
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".