Seroprevalence of COVID-19 Among Health Care Workers in Primary Health Care Centers in Al-Sader City District, Baghdad, Iraq
Bibliographic record
Abstract
Background The SARS-CoV-2 infection produces detectable immune responses in most cases reported to date. A serological test could capture previous asymptomatic infections and help to assess the immune status of a subject. Health care workers are highly vulnerable to COVID-19 infection, and providing personal protective equipment is the primary strategy to prevent disease transmission within the health care setting. Objective The aim of this paper was to determinate the seroprevalence of COVID-19 among health care workers in primary health care centers in the AL-Sader city district. Methods A cross-sectional study was conducted in 9 primary health care centers, which were selected using a cluster random sampling technique from November 1, 2020, to December 31, 2020. Results A total of 470 participants were enrolled in the study; 101 (21.5%) of them had a history of COVID-19 infection, and 76 (16.1%) were diagnosed by polymerase reaction chain. There was a significant association between rapid tests and history of COVID-19 infection (P<.001). Rapid test sensitivity was 56.6%, and specificity was 79.2%. The rapid test was positive in 125 (26.6%) participants: IgG 104 (83.2%), IgM 5 (4%), and both IgG-IgM 16 (12.8%). Conclusions The percent of COVID-19 infection is higher than the expected level among participants. A significant association was found between rapid tests and COVID-19 infection, smoking, comorbidity, personal protective equipment training, and household infection.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".