The mobility gap: estimating mobility thresholds required to control SARS-CoV-2 in Canada

Brown, Kevin A.; Soucy, Jean‐Paul; Buchan, Sarah A; Sturrock, Shelby L.; Berry, Isha; Stall, Nathan M.; Jüni, Peter; Ghasemi, Amir; Gibb, Natalie; MacFadden, Derek R.; Daneman, Nick

doi:10.1503/cmaj.210132

Cited by 17 publications

(23 citation statements)

References 24 publications

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“…Mobility and personal contact were not nearly as reduced by government mandates in the second and third waves. 4 Mask mandates were introduced in July 2020 and most of the public was willing to wear masks indoors thereafter.…”

Section: Provincial and Territorial Responsesmentioning

confidence: 99%

COVID-19 in Canada

Detsky

Bogoch

2021

JAMA

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Section: Provincial and Territorial Responsesmentioning

confidence: 99%

COVID-19 in Canada

Detsky

Bogoch

2021

JAMA

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“…While highly effective vaccines are readily available in the United States, uptake remains low [1] and interventions aimed at minimizing human contact remain necessary to mitigate the spread of 1 INTRODUCTION SARS-CoV-2 [2,3,4,5]. Decreasing mobility patterns within populations, has been shown to be an effective strategy to curb infectious disease transmission.…”

Section: Introductionmentioning

confidence: 99%

“…A modelling study from China showed 20-60% reductions in mobility notably controlled the spread of SARS-CoV-2 [16]. A study from Canada showed that reductions in mobility strongly predict future control of SARS-CoV-2 growth rates [5]. However, in the absence of social distancing interventions, the link between changes in population-level mobility and COVID-19 remains unclear [8,9].…”

Section: Introductionmentioning

confidence: 99%

Can tracking mobility be used as a public health tool against COVID-19 following the expiration of stay-at-home mandates?

Her

Saeed²,

Tram³

et al. 2021

Preprint

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Background: Considering the emergence of SARS-CoV-2 variants and low vaccine access and uptake, minimizing human interactions remains an effective strategy to mitigate the spread of SARS-CoV-2. The aim of this study was to create a novel multidimensional mobility index to capture the complexity of human interaction and evaluate its utility as an early indicator of surges in COVID-19 cases. Methods: We used publicly available anonymous cell phone data compiled by SafeGraph, from all counties in Illinois, Ohio, Michigan and Indiana between January 1st to December 8, 2020. Six metrics of mobility were extracted for each county. Changes in mobility were defined as a time-updated 7-day rolling average. We used an unsupervised machine learning method known as functional principal component analysis (fPCA) to construct the latent mobility index (MI) using the six metrics of mobility. Associations between our MI and COVID-19 cases were estimated using a quasi-Poisson hierarchical generalized additive model adjusted for population density and the COVID-19 community vulnerability index. Results: Individual mobility metrics varied significantly by counties and by calendar time. More than 50% of the variability in the data was explained by the first principal component by each state, indicating good dimension reduction. Following the expiration of stay-at-home orders, mobility increased across all counties and this was particularly evident on weekends. While an individual metric of mobility was not associated with surges of COVID-19, our MI was independently associated with COVID-19 cases in all four states given varying time-lags. Conclusion: Following the expiration of stay-at-home orders, a single metric of mobility was not sensitive enough to capture the complexity of human interactions. Monitoring mobility can be an important public health tool, however, it should be modelled as a multidimensional construct.

show abstract

“…While highly effective vaccines are readily available in the United States, uptake remains low [1] and interventions aimed at minimizing human contact remain necessary to mitigate the spread of SARS-CoV-2 [2,3,4,5]. Decreasing mobility patterns within populations, has been shown to be an effective strategy to curb infectious disease transmission.…”

Section: Introductionmentioning

confidence: 99%

“…A modelling study 2 METHODS from China showed 20-60% reductions in mobility notably controlled the spread of SARS-CoV-2 [16]. A study from Canada showed that reductions in mobility strongly predict future control of SARS-CoV-2 growth rates [5]. However, in the absence of social distancing interventions, the link between changes in population-level mobility and COVID-19 remains unclear [8,9].…”

Section: Introductionmentioning

confidence: 99%

Can Tracking Mobility be used as a Public Health Tool Against COVID-19 Following the Expiration of Stay-at-Home Mandates?

Her

Saeed

Tram

et al. 2021

Preprint

View full text Add to dashboard Cite

Considering the emergence of SARS-CoV-2 variants and low vaccine access and uptake, minimizing human interactions remains an effective strategy to mitigate the spread of SARS-CoV-2. Using a functional principal component analysis, we created a multidimensional mobility index (MI) using six metrics compiled by SafeGraph from all counties in Illinois, Ohio, Michigan and Indiana between January 1st to December 8, 2020. Changes in mobility were defined as a time-updated 7-day rolling average. Associations between our MI and COVID-19 cases were estimated using a quasi-Poisson hierarchical generalized additive model adjusted for population density and the COVID-19 community vulnerability index. Individual mobility metrics varied significantly by counties and by calendar time. More than 50% of the variability in the data was explained by the first principal component by each state, indicating good dimension reduction. While an individual metric of mobility was not associated with surges of COVID-19, our MI was independently associated with COVID-19 cases in all four states given varying time-lags. Following the expiration of stay-at-home orders, a single metric of mobility was not sensitive enough to capture the complexity of human interactions. Monitoring mobility can be an important public health tool, however, it should be modelled as a multidimensional construct.

show abstract

The mobility gap: estimating mobility thresholds required to control SARS-CoV-2 in Canada

Cited by 17 publications

References 24 publications

COVID-19 in Canada

COVID-19 in Canada

Can tracking mobility be used as a public health tool against COVID-19 following the expiration of stay-at-home mandates?

Can Tracking Mobility be used as a Public Health Tool Against COVID-19 Following the Expiration of Stay-at-Home Mandates?

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