An Outbreak of COVID-19 Among Health Care Workers at a Diabetes Center, Al Ahsa, Saudi Arabia, April 2020
Bibliographic record
Abstract
Background On April 2, 2020, the Field Epidemiology Training Program was asked by a diabetes mellitus center, Facility A, in Al-Ahsa to investigate a confirmed case of COVID-19 in a health care worker. Patients with diabetes are at increased risk for serious complications from COVID-19. Objective This study seeks to identify any additional cases, the source of infection and mode of transmission, and implement mitigation measures to prevent further transmission. At the time of the investigation, few COVID-19 cases had been identified in the region. Methods We reviewed medical charts and other available data on cases in the infection control department, the public health department, and the COVID-19 center. We interviewed cases about their health status and possible sources of infection. We analyzed data using descriptive statistics. Results All staff (N=50) at Facility A were tested for COVID-19; 2 (4%) tested positive. The first case was a nurse that reported attending a nursing conference in Riyadh several days prior to symptom onset. She was the first recognized case of COVID-19 in Facility A, so we classified her as the index case. We identified 1 more case that reported using shared cupboard clothes, the same coffee machine, and chatting with the index case in a break room without using personal protective equipment. Both cases reported wearing personal protective equipment during patient care. Both cases survived. Conclusions We found evidence of person-to-person transmission between cases while socializing at work, and no evidence of transmission from health care workers to patients. We identified potentially risky practices in Facility A, although none were related to patient care. We helped Facility A develop additional policies to reduce the risk of COVID-19 transmission among staff, even when not providing direct patient care. Facility A was closed during the investigation and reopened after applying all prevention measures.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".