Nurses’ Contacts and Potential for Infectious Disease Transmission
Autor: | Rafael T. Mikolajczyk, Manfred Wildner, Richela Fischer, Mirjam Kretzschmar, Helen Bernard |
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Jazyk: | angličtina |
Rok vydání: | 2009 |
Předmět: |
Microbiology (medical)
medicine.medical_specialty Infectious Disease Transmission Patient-to-Professional Time Factors Epidemiology health care sector Population lcsh:Medicine Economic shortage communicable diseases Nursing Staff Hospital Work related nurses lcsh:Infectious and parasitic diseases Germany Surveys and Questionnaires Individual data Health care medicine computer simulation Internal Medicine Humans lcsh:RC109-216 viruses expedited Intensive care medicine education Skin education.field_of_study Cross Infection Infectious disease transmission business.industry Research lcsh:R fungi food and beverages Influenza social contacts Infectious Diseases Communicable disease transmission Family medicine General Surgery disease outbreaks Contact Tracing business Contact tracing |
Zdroj: | Emerging Infectious Diseases Emerging Infectious Diseases, Vol 15, Iss 9, Pp 1438-1444 (2009) |
ISSN: | 1080-6059 1080-6040 |
Popis: | These data can help predict staff availability and provide information for pandemic preparedness planning. Nurses’ contacts with potentially infectious persons probably place them at higher risk than the general population for infectious diseases. During an influenza pandemic, illness among nurses might result in staff shortage. We aimed to show the value of individual data from the healthcare sector for mathematical modeling of infectious disease transmission. Using a paper diary approach, we compared nurses’ daily contacts (2-way conversation with >2 words or skin-to-skin contact) with those of matched controls from a representative population survey. Nurses (n = 129) reported a median of 40 contacts (85% work related), and controls (n = 129) reported 12 contacts (33% work related). For nurses, 51% of work-related contacts were with patients (74% involving skin-to-skin contact, and 63% lasted |
Databáze: | OpenAIRE |
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