An Analytical Study for Reducing Infection Transmission in Chest Hospitals in Egypt
Bibliographic record
Abstract
With the spread of infection and an increase in the number of visitors and patients in developing countries, especially in governmental hospitals that provide affordable healthcare, there has been an exhaustion in energy resources accompanied by a global increase in energy prices. Since some buildings are unable to properly use mechanical ventilation, they have turned to using recycled air, which has aided in the spread of infection. Therefore, it has become mandatory for these buildings to turn towards natural ventilation, especially after the World Health Organization recognized natural ventilation as a solution to combat the spread of infection in 2007. There are also limited studies covering the relationship between natural ventilation, airborne transmission of infection, and architectural variables. In this research, we will focus on studying the effect of ventilation and architectural variables on the spread of airborne infections in government chest hospitals using Ansys®21 Fluent CFD solvers. Architectural variables such as height, width, and depth and their effect on the amount of infection inside the ward and its spread were studied. It was found that an increase in height had a positive effect on reducing infection by 12.14%,while the increase in width had 3.54% effect and finally, an increase in depth had a negative effect on infection by 10.75%. Then, an increase in height was studied once with an increase in width and it was found to lead to a decrease in infection by 31.73%, depending on the baseline case and the amount of infection in it. An increase in depth was found to lead to a decrease in infection by 2.37%. Additionally, the acquired infection for each patient decreased from a range of 6-6.40% to a range of 2.40-2.80% in the first case and 3.40-3.70% in the second case. Therefore, the experiments confirm the effect of architectural variables on the rate of ventilation and the proportion of infection and its spread.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".