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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: May 16, 2020
Date Accepted: Jan 19, 2021
Date Submitted to PubMed: Jan 22, 2021

The final, peer-reviewed published version of this preprint can be found here:

Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

Kurita J, Sugishita Y, Sugawara T, Ohkusa Y

Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

JMIR Public Health Surveill 2021;7(2):e20335

DOI: 10.2196/20335

PMID: 33481755

PMCID: 7886484

Evaluating Apple Inc. Mobility Trend Data Related to the COVID-19 Outbreak in Japan

  • Junko Kurita; 
  • Yoshiyuki Sugishita; 
  • Tamie Sugawara; 
  • Yasushi Ohkusa

ABSTRACT

Background:

In Japan, as a countermeasure against the COVID-19 outbreak, voluntary restrictions against going out (VRG) from a residence were announced from the end of March by national and local governments in preference to lockdowns like those instituted in European and North American countries.

Objective:

We examined some associations among going out information provided by Apple Inc. and estimated an effective reproduction number R(t).

Methods:

We regressed R(t) on a polynomial function of daily Apple Inc. data. From estimation using the whole period, the sub-periods delimited by March 10 were analyzed.

Results:

Estimation results indicate R(t) as 1.72 if VRG ceases and mobility reverts to a normal level. However, the critical level of R(t)<1 was achieved at a 89.3% of the normal level of mobility.

Conclusions:

Results indicate that a 10% reduction from the normal number of trips will be necessary until herd immunity is achieved. Complete cessation of VRG might not be necessary to avoid re-emergence of the outbreak.


 Citation

Please cite as:

Kurita J, Sugishita Y, Sugawara T, Ohkusa Y

Evaluating Apple Inc Mobility Trend Data Related to the COVID-19 Outbreak in Japan: Statistical Analysis

JMIR Public Health Surveill 2021;7(2):e20335

DOI: 10.2196/20335

PMID: 33481755

PMCID: 7886484

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