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Human mobility and COVID-19 initial dynamics.

Stefano Maria Iacus1, Carlos Santamaria1, Francesco Sermi1

  • 1Joint Research Centre, Via Enrico Fermi 2749, 21027 Ispra, VA Italy.

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|September 9, 2020
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Summary
This summary is machine-generated.

Human mobility data significantly explains COVID-19 spread in Europe, accounting for up to 92% of the initial outbreak. Mobility restrictions effectively reduced excess deaths, highlighting the importance of data-driven policies for pandemic management.

Keywords:
COVID-19 dynamicsCoronavirusHuman mobilityMobility data

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Area of Science:

  • Epidemiology
  • Public Health
  • Data Science

Background:

  • European countries implemented diverse mobility containment measures during the COVID-19 pandemic.
  • Anonymized and aggregated mobile data were voluntarily shared by network operators to enhance pandemic modeling at the EU level.
  • A lack of consistent international contagion measurement methods hindered systematic analysis of human mobility's impact on virus spread.

Purpose of the Study:

  • To systematically analyze the relationship between human mobility and COVID-19 spread across European countries.
  • To quantify the impact of mobility on virus transmission dynamics and excess deaths.
  • To inform data-driven policy decisions for pandemic exit strategies and future outbreak preparedness.

Main Methods:

  • Utilized anonymized and aggregated mobile data alongside excess deaths data from France and Italy.
  • Employed province-level IgG SARS-CoV-2 antibody screening data for an analogous analysis in Spain.
  • Quantified the correlation between mobility patterns and virus spread indicators.

Main Results:

  • Human mobility alone explained up to 92% of the initial COVID-19 spread in France and Italy.
  • Reduced human mobility demonstrated a lagged positive effect (14-20 days) on decreasing excess deaths.
  • Internal mobility was found to be more influential than inter-provincial mobility in virus transmission.

Conclusions:

  • Mobility restrictions were effective in saving lives by slowing virus spread.
  • Mobility data provides crucial insights for understanding pandemic dynamics and informing public health policies.
  • The study's methodology can be extended to other European nations with available granular data.