About: Evaluation of an Adjustable Epidemiologic Information System

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Evaluation of an Adjustable Epidemiologic Information System
Creator	Chiu, Chan-Hsien King, Chwan-Chuen Wu, Jiunn-Shyan Ho, Mei-Shang Shih, Fu-Yuan Yan, Jer-Jea Yeh, Yuan-Lih
Source	Medline; PMC
abstract	BACKGROUND: In order to facilitate public health response and to achieve early control of infectious disease epidemics, an adjustable epidemiologic information system (AEIS) was established in the Taiwan public health network in February 2006. METHODOLOGY/PRINCIPAL FINDINGS: The performance of AEIS for the period 2006 through 2008 was evaluated based on a number of response times (RT) and the public health impact. After implementation of the system, the apparent overall shortened RT was mainly due to the shortening of personnel response time (PRT) and the time needed to draft a new questionnaire that incurred as personnel-system interface (PSI); PRT dropped from a fluctuating range of 9.8 ∼28.8 days in the first four months to <10 days in the following months and remained low till 2008 (0.88±1.52 days). The PSIs for newly emerged infectious diseases were 2.6 and 3.4 person-hours for H5N1 in 2007 and chikungunya in 2008, respectively, a much improvement from 1142.5 person-hours for SARS in 2003. The duration of each rubella epidemic cluster was evaluated as public health impact and showed a shortening trend (p = 0.019) that concurred with the shortening of PRT from 64.8±47.3 to 25.2±38.2 hours per cluster (p<0.0001). CONCLUSIONS/SIGNIFICANCE: The first evaluation of the novel instrument AEIS that had been used to assist Taiwan's multi-level government for infectious diseases control demonstrated that it was well integrated into the existing public health infrastructure. It provided flexible tools and computer algorithms with friendly interface for timely data collection, integration, and analysis; as a result, it shortened RTs, filled in gaps of personnel lacking sufficient experiences, created a more efficient flow of response, and identified asymptomatic/mild cases early to minimize further spreading. With further development, AEIS is anticipated to be useful in the application of other acute public health events needing immediate orchestrated data collection and public health actions.
has issue date	2011-01-27(xsd:dateTime)
bibo:doi	10.1371/journal.pone.0014596
bibo:pmid	21298043
has license	cc-by
sha1sum (hex)	1546fd2f004f233eea33c99a54f863ee80ffedaf
schema:url	https://doi.org/10.1371/journal.pone.0014596
resource representing a document's title	Evaluation of an Adjustable Epidemiologic Information System
has PubMed Central identifier	PMC3029279
has PubMed identifier	21298043
schema:publication	PLoS One
resource representing a document's body	covid:1546fd2f004f233eea33c99a54f863ee80ffedaf#body_text
is schema:about of	named entity 'Information System' named entity 'EVALUATION' named entity 'INFECTIOUS DISEASE' named entity 'RESPONSE' named entity 'ESTABLISHED' named entity 'EPIDEMIOLOGIC' named entity 'BACKGROUND' named entity 'INFORMATION SYSTEM' named entity 'HEALTH NETWORK' named entity 'FEBRUARY' named entity 'EPIDEMICS' named entity 'INFORMATION SYSTEM' named entity 'TAIWAN' named entity 'EPIDEMIOLOGIC' named entity 'ADJUSTABLE' named entity 'ADJUSTABLE' named entity 'PUBLIC HEALTH' named entity 'EARLY' named entity 'CONTROL' named entity 'ORDER' covid:arg/1546fd2f004f233eea33c99a54f863ee80ffedaf named entity 'Taiwan' named entity 'epidemiologic' named entity 'Taiwan' named entity 'public health' named entity 'infectious disease' named entity 'epidemics' named entity 'H5N1' named entity 'questionnaire' named entity 'epidemiologic' named entity 'public health' named entity 'H5N1' named entity 'Taiwan' named entity 'reproductive number' named entity 'stratified analysis' named entity 'Taiwan' named entity 'epidemiologic' named entity 'questionnaire' named entity 'epidemiological' named entity 'epidemiologic' named entity 'follow-up' named entity 'change over time' named entity 'unimmunized' named entity 'EIRT' named entity 'questionnaire' named entity 'data collection' named entity 'medical history' named entity 'EIRT' named entity 'public health' named entity 'questionnaire' named entity 'EIRT' named entity 'information cycle' named entity 'EIRT' named entity 'emergency medicine' named entity 'EIRT' named entity 'public health' named entity 'data management' named entity 'database' named entity 'questionnaire' named entity 'collective knowledge' named entity 'epidemiological' named entity 'microbiological' named entity 'questionnaire' named entity 'questionnaire' named entity 'Microsoft Excel' named entity 'ANOVA' named entity 'data analysis' named entity 'case studies' named entity 'decision making' named entity 'questionnaire' named entity 'public health' named entity 'public health' named entity 'health information' named entity 'quarantine' named entity 'public health'

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