Title |
Potential for airborne transmission of infection in the waiting areas of healthcare premises: stochastic analysis using a Monte Carlo model
|
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Published in |
BMC Infectious Diseases, August 2010
|
DOI | 10.1186/1471-2334-10-247 |
Pubmed ID | |
Authors |
Clive B Beggs, Simon J Shepherd, Kevin G Kerr |
Abstract |
Although many infections that are transmissible from person to person are acquired through direct contact between individuals, a minority, notably pulmonary tuberculosis (TB), measles and influenza are known to be spread by the airborne route. Airborne infections pose a particular threat to susceptible individuals whenever they are placed together with the index case in confined spaces. With this in mind, waiting areas of healthcare facilities present a particular challenge, since large numbers of people, some of whom may have underlying conditions which predispose them to infection, congregate in such spaces and can be exposed to an individual who may be shedding potentially pathogenic microorganisms. It is therefore important to understand the risks posed by infectious individuals in waiting areas, so that interventions can be developed to minimise the spread of airborne infections. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 2 | 33% |
New Zealand | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 3% |
Poland | 1 | <1% |
Unknown | 139 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 32 | 22% |
Student > Master | 23 | 16% |
Student > Ph. D. Student | 19 | 13% |
Other | 10 | 7% |
Student > Bachelor | 9 | 6% |
Other | 23 | 16% |
Unknown | 29 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 39 | 27% |
Engineering | 25 | 17% |
Environmental Science | 5 | 3% |
Nursing and Health Professions | 4 | 3% |
Agricultural and Biological Sciences | 4 | 3% |
Other | 28 | 19% |
Unknown | 40 | 28% |