Literature DB >> 25762171

Control selection methods in recent case-control studies conducted as part of infectious disease outbreaks.

Alison Waldram1, Caoimhe McKerr, Maya Gobin, Goutam Adak, James M Stuart, Paul Cleary.   

Abstract

Successful investigation of national outbreaks of communicable disease relies on rapid identification of the source. Case-control methodologies are commonly used to achieve this. We assessed control selection methods used in recently published case-control studies for methodological and resource issues to determine if a standard approach could be identified. Neighbourhood controls were the most frequently used method in 53 studies of a range of different sizes, infections and settings. The most commonly used method of data collection was face to face interview. Control selection issues were identified in four areas: method of identification of controls, appropriateness of controls, ease of recruitment of controls, and resource requirements. Potential biases arising from the method of control selection were identified in half of the studies assessed. There is a need to develop new ways of selecting controls in a rapid, random and representative manner to improve the accuracy and timeliness of epidemiological investigations and maximise the effectiveness of public health interventions. Innovative methods such as prior recruitment of controls could improve timeliness and representativeness of control selection.

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Year:  2015        PMID: 25762171     DOI: 10.1007/s10654-015-0005-x

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  58 in total

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9.  Rethinking sources of representative controls for the conduct of case-control studies in minority populations.

Authors:  Elisa V Bandera; Urmila Chandran; Gary Zirpoli; Susan E McCann; Gregory Ciupak; Christine B Ambrosone
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10.  Kyasanur Forest disease, India, 2011-2012.

Authors:  Gudadappa S Kasabi; Manoj V Murhekar; Pragya D Yadav; R Raghunandan; S K Kiran; V K Sandhya; G H Channabasappa; Akhilesh C Mishra; Devendra Tarachand Mourya; Sanjay M Mehendale
Journal:  Emerg Infect Dis       Date:  2013-02       Impact factor: 6.883

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  5 in total

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4.  Use of a non-probabilistic online panel as a control group for case-control studies to investigate food and waterborne outbreaks in Lower Saxony, Germany.

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5.  Online market research panel members as controls in case-control studies to investigate gastrointestinal disease outbreaks: early experiences and lessons learnt from the UK.

Authors:  P Mook; J McCormick; S Kanagarajah; G K Adak; P Cleary; R Elson; M Gobin; J Hawker; T Inns; C Sinclair; S C M Trienekens; R Vivancos; N D McCarthy
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  5 in total

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