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Phlis

An electronic system for reporting public health data from remote sites

Bibliographic Data

ID11020538
AuthorsNancy H Bean (National Center for Infectious Diseases), S M Martin (0000-0002-0895-6504), H Bradford, Heather M Bradford (0000-0002-3664-4161)
Year1992
Volume82
Issue9
Pages1273-1276
Publication date1992-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.82.9.1273
PMID1323935
OpenAlexW2044286441
LanguageEN
Citations received2
References cited1

Disease surveillance conducted by the Centers for Disease Control (CDC) in conjunction with state health departments provides databases of information to public health workers. These databases' utility is limited by the lag time from occurrence of disease events until records are available for analysis. We developed the Public Health Laboratory Information System (PHLIS), a PC-based electronic reporting system for entering, editing, and analyzing data locally and for transmitting data electronically to other state or federal offices. Advantages of PHLIS include reduction in paper handling, decrease in lag time between disease incident and availability of information for analysis, ability to rapidly examine data for clusters of disease, downloadable summary tables, data editing at site of input, data analysis capability, increased interaction among participants, and current data for responses to inquiries. PHLIS is available without cost and is transportable to other agencies, states, or countries

Disease · Disease control · Disease surveillance · Environmental health · Health care · Health records · Lag time · Political science · Public health · Public health surveillance · State (computer science) · Computer Science · Data-Driven Disease Surveillance · Medicine · Public Health Policies and Education

  • Sistema de información de la red nacional de laboratorios de salud pública en el Perú (Netlab)

    Open Access•Javier Vargas-Herrera, José Segovia-Juárez et al.•Revista Peruana de Medicina…•2015

  • Detecting and controlling foodborne infections in humans

    Open Access•Jay K Varma, Shuyu Wu et al.•Global Public Health•2011

Unique citing works2
Citations per year0,13
Citation span2011 - 2015 (5)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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