September 24, 2021

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Correction for Masters et al., Good-scale spatial clustering of measles nonvaccination that increases outbreak opportunity is obscured by aggregated reporting data

Population BIOLOGY, SOCIAL SCIENCES Correction for “Fine-scale spatial clustering of measles nonvaccination that improves outbreak prospective is obscured by aggregated reporting data,” by Nina B. Masters, Marisa C. Eisenberg, Paul L. Delamater, Matthew Kay, Matthew L. Boulton, and Jon Zelner, which was first posted October 26, 2020 10.1073/pnas.2011529117 (Proc. Natl. Acad. Sci. U.S.A. 117, 28506–28514).

The authors notice that Fig. 3 appeared improperly. The corrected determine and its legend surface beneath. The on-line variation has been corrected. The authors also be aware that on page 28510, suitable column, 2nd total paragraph, “The predicted outbreak dimensions for simulations at 95% in general vaccination was predicted to be 3,886 (AR = 30.4%) instances using unaggregated knowledge 2,122 (AR = 16.6%) using tract-degree aggregation, (45.4% reduction) 911 (AR = 7.1%) applying community-stage aggregation (76.5% reduction) and no secondary situations when aggregated to the quadrant level (99.9% reduction)” need to alternatively seem as “The predicted outbreak measurement for simulations at 95% over-all vaccination was predicted to be 3,886 (AR = 30.4%) cases utilizing unaggregated data 2,122 (AR = 16.6%) working with tract-level aggregation, (45.4% reduction) 911 (AR = 7.1%) applying neighborhood-stage aggregation (76.5% reduction) and 227.3 cases when aggregated to the quadrant level (94.2% reduction).” The on-line edition has been corrected.

Fig. 3.

Impact of aggregation on believed outbreak danger. Cumulative incidence at 4 distinctive ranges of vaccination coverage: 94, 95, 98, and 99%, such as nonaggregated vaccination details (block-degree) resolution to tract amount (4-cell) resolution, to community (16 cell), and, lastly, quadrant-amount (64 cells) reveals the reduction in approximated situation load as aggregation boosts, a pattern that holds correct across all levels of vaccination.