An international survey of bacterial contamination and householders’ knowledge, attitudes and perceptions of hygiene
Bibliographic record
Abstract
This prospective, multinational study was conducted in 20 homes in eight cities or regions in different countries to determine the level of microbiological contamination of common surfaces and items, and investigate the attitudes and perceptions of householders towards cleaning and hygiene. Environmental Health Practitioners took eight standardised swabs in each home. The swabs were cultured for a range of micro-organisms. Householders ( n=160) were also interviewed regarding their cleaning habits and perceptions of hygiene. Overall, 28% of surfaces or items tested in the study had ‘moderate bacterial growth’ or ‘heavy bacterial growth’. Kitchen cloths were the most contaminated items, with 86% having moderate bacterial growth or heavy bacterial growth; kitchen taps were the second most contaminated items, with 52% having moderate bacterial growth or heavy bacterial growth. High proportions (>50%) of kitchen cloths contained coliforms, Enterobacteriaceae and Pseudomonas spp. The visual appearance of surfaces and items frequently (30%) did not correspond to their level of contamination with micro-organisms. The majority of householders (65%) cleaned to make the house ‘look clean, smell nice and remove germs’; however, householders’ perceptions of the cleanliness of their homes frequently did not correspond to microbiological reality. In conclusion, further research and education are needed regarding hygiene in the home.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".