Usefulness of linked data for infectious disease events: a systematic review. (27th February 2023)

• Record Type: Journal Article
• Authors: Field, Emma; Strathearn, Melanie; Boyd-Skinner, Christopher; Dyda, Amalie
• Is Part Of: Epidemiology and infection. Volume 151(2023)
• Publication Date: 2023-02-27
• Subjects: Epidemiology -- infectious disease epidemiology -- infectious disease -- outbreaks -- surveillance; Communicable diseases -- Periodicals; Epidemiology -- Periodicals; 614.4
• DOI: 10.1017/S0950268823000316
• Languages: English
• ISSNs: 0950-2688

Abstract

Abstract: Surveillance is a key public health function to enable early detection of infectious disease events and inform public health action. Data linkage may improve the depth of data for response to infectious disease events. This study aimed to describe the uses of linked data for infectious disease events. A systematic review was conducted using Pubmed, CINAHL and Web of Science. Studies were included if they used data linkage for an acute infectious disease event (e.g. outbreak of disease). We summarised the event, study aims and designs; data sets; linkage methods; outcomes reported; and benefits and limitations. Fifty-four studies were included. Uses of linkage for infectious disease events included assessment of severity of disease and risk factors; improved case finding and contact tracing; and vaccine uptake, safety and effectiveness. The ability to conduct larger scale population level studies was identified as a benefit, in particular for rarer exposures, risk factors or outcomes. Limitations included timeliness, data quality and inability to collect additional variables. This review demonstrated multiple uses of data linkage for infectious disease events. As infectious disease events occur without warning, there is a need to establish pre-approved protocols and the infrastructure for data-linkage to enhance information available during an event.