
doi: 10.1086/647880
pmid: 9758062
Abstract Even with a good surveillance program, nosocomial infections may be not recognized because of several reasons: absence of symptoms or prolonged incubation period (eg, viral bloodborne infections, tuberculosis); problems with the microbiological diagnosis, because adequate specimens may be difficult to obtain or special methods should be used (eg, fungal infections, virus, new agents); shorter hospital stays (eg, surgical-site infections); difficulty in distinguishing between nosocomial and community-acquired infections (eg, influenza); and failure to detect clinically relevant colonization (eg, multiresistant microorganisms). Because of the important potential consequences of occult nosocomial infections, specific surveillance programs should be designed to address these problems.
Cross Infection, Infection Control, Microbial Sensitivity Tests, Length of Stay, Hospitals, Virus Latency, Population Surveillance, Carrier State, Humans, Contact Tracing, Disease Reservoirs, Environmental Monitoring
Cross Infection, Infection Control, Microbial Sensitivity Tests, Length of Stay, Hospitals, Virus Latency, Population Surveillance, Carrier State, Humans, Contact Tracing, Disease Reservoirs, Environmental Monitoring
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
