Computerized surveillance in clinical microbiology with time series analysis. 1993

R B Dessau, and P Steenberg
Department of Clinical Microbiology, Herlev University Hospital, Denmark.

An automatic surveillance system to detect changes in the incidences of microorganisms diagnosed in the department of clinical microbiology has been developed. The program is incorporated into the laboratory computer system and gives a weekly list of microorganisms whose isolation rates compared with those of a previous period exceed a chosen limit. The system uses time series analysis with moving weighted averages, and the detection limit is based on the distribution of the residuals. Output from the system included information about potential outbreaks of gastroenteritis, nosocomial infection with Corynebacterium jeikeium, and a seasonal epidemic of respiratory syncytial virus. The system also listed organisms not commonly isolated in the laboratory and detected incorrect reports. We conclude that continuous surveillance of laboratory data with time series analysis is a valuable tool for epidemiologic surveillance and quality control. Large quantities of data may be screened.

UI MeSH Term Description Entries
D011786 Quality Control A system for verifying and maintaining a desired level of quality in a product or process by careful planning, use of proper equipment, continued inspection, and corrective action as required. (Random House Unabridged Dictionary, 2d ed) Control, Quality,Controls, Quality,Quality Controls
D002984 Clinical Laboratory Information Systems Information systems, usually computer-assisted, designed to store, manipulate, and retrieve information for planning, organizing, directing, and controlling administrative and clinical activities associated with the provision and utilization of clinical laboratory services. Laboratory Information Systems,Information Systems, Clinical Laboratory,Information System, Laboratory,Information Systems, Laboratory,Laboratory Information System,System, Laboratory Information,Systems, Laboratory Information
D003428 Cross Infection Any infection which a patient contracts in a health-care institution. Hospital Infections,Nosocomial Infections,Health Care Associated Infection,Health Care Associated Infections,Healthcare Associated Infections,Infection, Cross,Infections, Hospital,Infections, Nosocomial,Cross Infections,Healthcare Associated Infection,Hospital Infection,Infection, Healthcare Associated,Infection, Hospital,Infection, Nosocomial,Infections, Cross,Infections, Healthcare Associated,Nosocomial Infection
D005658 Fungi A kingdom of eukaryotic, heterotrophic organisms that live parasitically as saprobes, including MUSHROOMS; YEASTS; smuts, molds, etc. They reproduce either sexually or asexually, and have life cycles that range from simple to complex. Filamentous fungi, commonly known as molds, refer to those that grow as multicellular colonies. Fungi, Filamentous,Molds,Filamentous Fungi,Filamentous Fungus,Fungus,Fungus, Filamentous,Mold
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D001419 Bacteria One of the three domains of life (the others being Eukarya and ARCHAEA), also called Eubacteria. They are unicellular prokaryotic microorganisms which generally possess rigid cell walls, multiply by cell division, and exhibit three principal forms: round or coccal, rodlike or bacillary, and spiral or spirochetal. Bacteria can be classified by their response to OXYGEN: aerobic, anaerobic, or facultatively anaerobic; by the mode by which they obtain their energy: chemotrophy (via chemical reaction) or PHOTOTROPHY (via light reaction); for chemotrophs by their source of chemical energy: CHEMOLITHOTROPHY (from inorganic compounds) or chemoorganotrophy (from organic compounds); and by their source for CARBON; NITROGEN; etc.; HETEROTROPHY (from organic sources) or AUTOTROPHY (from CARBON DIOXIDE). They can also be classified by whether or not they stain (based on the structure of their CELL WALLS) with CRYSTAL VIOLET dye: gram-negative or gram-positive. Eubacteria
D012621 Seasons Divisions of the year according to some regularly recurrent phenomena usually astronomical or climatic. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed) Seasonal Variation,Season,Seasonal Variations,Variation, Seasonal,Variations, Seasonal
D012984 Software Sequential operating programs and data which instruct the functioning of a digital computer. Computer Programs,Computer Software,Open Source Software,Software Engineering,Software Tools,Computer Applications Software,Computer Programs and Programming,Computer Software Applications,Application, Computer Software,Applications Software, Computer,Applications Softwares, Computer,Applications, Computer Software,Computer Applications Softwares,Computer Program,Computer Software Application,Engineering, Software,Open Source Softwares,Program, Computer,Programs, Computer,Software Application, Computer,Software Applications, Computer,Software Tool,Software, Computer,Software, Computer Applications,Software, Open Source,Softwares, Computer Applications,Softwares, Open Source,Source Software, Open,Source Softwares, Open,Tool, Software,Tools, Software
D014780 Viruses Minute infectious agents whose genomes are composed of DNA or RNA, but not both. They are characterized by a lack of independent metabolism and the inability to replicate outside living host cells. Animal Viruses,Zoophaginae,Animal Virus,Virus,Virus, Animal,Viruses, Animal
D015994 Incidence The number of new cases of a given disease during a given period in a specified population. It also is used for the rate at which new events occur in a defined population. It is differentiated from PREVALENCE, which refers to all cases in the population at a given time. Attack Rate,Cumulative Incidence,Incidence Proportion,Incidence Rate,Person-time Rate,Secondary Attack Rate,Attack Rate, Secondary,Attack Rates,Cumulative Incidences,Incidence Proportions,Incidence Rates,Incidence, Cumulative,Incidences,Person time Rate,Person-time Rates,Proportion, Incidence,Rate, Attack,Rate, Incidence,Rate, Person-time,Rate, Secondary Attack,Secondary Attack Rates

Related Publications

R B Dessau, and P Steenberg
March 1989, Statistics in medicine,
R B Dessau, and P Steenberg
March 1972, American journal of clinical pathology,
R B Dessau, and P Steenberg
January 1998, Bulletin of the World Health Organization,
R B Dessau, and P Steenberg
March 1989, Statistics in medicine,
R B Dessau, and P Steenberg
January 1977, Annali Sclavo; rivista di microbiologia e di immunologia,
R B Dessau, and P Steenberg
January 2003, The Annals of pharmacotherapy,
R B Dessau, and P Steenberg
July 1998, [Hokkaido igaku zasshi] The Hokkaido journal of medical science,
R B Dessau, and P Steenberg
April 1998, International journal of epidemiology,
R B Dessau, and P Steenberg
June 2018, Acta tropica,
R B Dessau, and P Steenberg
January 2003, BMC medical informatics and decision making,
Copied contents to your clipboard!