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Volume 21, Number 2—February 2015
Research

Quantifying Reporting Timeliness to Improve Outbreak Control

Axel Bonačić MarinovićComments to Author , Corien Swaan, Jim van Steenbergen, and Mirjam Kretzschmar
Author affiliations: National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands (A. Bonačić Marinović, C. Swaan, J. van Steenbergen, M. Kretzschmar); University Medical Centre Utrecht, Utrecht, the Netherlands (A. Bonačić Marinović, M. Kretzschmar); Leiden University Medical Centre, Leiden, the Netherlands (J. van Steenbergen)

Main Article

Figure 6

PIR1, depending on reporting delay median for the indicated diseases and assuming standard deviation equal to median value. Thick lines show reporting delay medians for which there is no outbreak control. Thin dashed lines would show reporting delay medians that bring diseases within the outbreak condition (R × PIR1<1), but they are not present because even with extremely short delays it is not possible to fulfill the condition with the studied diseases (except shigellosis). Symbols indicate

Figure 6. PIR1, depending on reporting delay median for the indicated diseases and assuming standard deviation equal to median value. Thick lines show reporting delay medians for which there is no outbreak control. Thin dashed lines would show reporting delay medians that bring diseases within the outbreak condition (R × PIR1<1), but they are not present because even with extremely short delays it is not possible to fulfill the condition with the studied diseases (except shigellosis). Symbols indicate PIR1 evaluated with current reporting delay data. PIR1, expected proportion of cases caused by index case at notification; R, reproduction number.

Main Article

Page created: January 20, 2015
Page updated: January 20, 2015
Page reviewed: January 20, 2015
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