Literature DB >> 27595708

Erratum To: Accounting for Behavioral Responses during a Flu Epidemic Using Home Television Viewing.

Michael Springborn1, Gerardo Chowell2,3,4, Matthew MacLachlan5, Eli P Fenichel6.   

Abstract

Entities:  

Year:  2016        PMID: 27595708      PMCID: PMC5011886          DOI: 10.1186/s12879-016-1795-5

Source DB:  PubMed          Journal:  BMC Infect Dis        ISSN: 1471-2334            Impact factor:   3.090


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Erratum

After the publication of this work [1], we became aware of errors in the reported results in Table 1. A corrected version of this table appears below. The main error involved reporting results for the low SEL class in the high SEL class row, and vice versa. Other small errors in reported p-values in the final column of the table have also been corrected.
Table 1

Summary statistics for daily percentage deviation from the long-run mean ATV (Δ) for various demographic groups

groupstatistics for Δt within the intervention period (τ)
rangemeanmean = 0 (p-value)equal means within class (p - value)
aggregate [-1.4 %, 22.6 %]13.6 %<0.001<0.001
age class children [-4.7 %, 46.2 %]23.7 %<0.001
adults [-6.5 %, 21.8 %]8.9 %<0.001
SEL class low [-3.5 %, 21.0 %]11.3 %<0.001low-med: 0. 06
medium [0.4 %, 32.1 %]15.3 %<0.001med-high: 0.40
high [-0.4 %, 31.7 %]17.5 %<0.001low-high: <0.01
time of day daytime [-3.7 %, 30.7 %]18.4 %<0.001<0.001
nighttime [-4.1 %, 17.0 %]9.6 %<0.001
Summary statistics for daily percentage deviation from the long-run mean ATV (Δ) for various demographic groups The only implication of correcting these errors for the results discussed in the paper is to strengthen rejection of one of the null hypotheses tested. In the original text we observed that, “During the intervention period, on average the high SEL group shows a response that is over 50 % greater than that of the low SEL group.” Furthermore we remarked that, “This difference is significant at the 5 % level.” This difference is in fact significant at the 1 % level. We regret the error.
  1 in total

1.  Accounting for behavioral responses during a flu epidemic using home television viewing.

Authors:  Michael Springborn; Gerardo Chowell; Matthew MacLachlan; Eli P Fenichel
Journal:  BMC Infect Dis       Date:  2015-01-23       Impact factor: 3.090

  1 in total
  1 in total

1.  Research on the Influence of Information Diffusion on the Transmission of the Novel Coronavirus (COVID-19).

Authors:  Shanlang Lin; Chao Ma; Ruofei Lin
Journal:  Int J Environ Res Public Health       Date:  2022-06-02       Impact factor: 4.614

  1 in total

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