4.8 Article

Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile

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NATURE COMMUNICATIONS
卷 12, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41467-021-22601-6

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资金

  1. Doctoral Training Alliance
  2. Lagrange Project of the Institute for Scientific Interchange Foundation (ISI Foundation) - Fondazione Cassa di Risparmio di Torino (Fondazione CRT)
  3. Telefonica RD Chile
  4. CISCO Chile
  5. EPIPOSE - Epidemic intelligence to minimize COVID-19's public health, societal and economical impact
  6. Google Cloud and Google Cloud Research Credits program
  7. McGovern Foundation
  8. Bill & Melinda Gates Foundation [INV006010]

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This study explored the spatiotemporal spread of SARS-CoV-2 in Santiago de Chile using anonymized mobile phone data, finding that more developed and wealthier areas experienced a lower burden of the pandemic after government interventions. The impact of NPIs on individuals' mobility was found to correlate with the Human Development Index of comunas in the city.
We study the spatio-temporal spread of SARS-CoV-2 in Santiago de Chile using anonymized mobile phone data from 1.4 million users, 22% of the whole population in the area, characterizing the effects of non-pharmaceutical interventions (NPIs) on the epidemic dynamics. We integrate these data into a mechanistic epidemic model calibrated on surveillance data. As of August 1, 2020, we estimate a detection rate of 102 cases per 1000 infections (90% CI: [95-112 per 1000]). We show that the introduction of a full lockdown on May 15, 2020, while causing a modest additional decrease in mobility and contacts with respect to previous NPIs, was decisive in bringing the epidemic under control, highlighting the importance of a timely governmental response to COVID-19 outbreaks. We find that the impact of NPIs on individuals' mobility correlates with the Human Development Index of comunas in the city. Indeed, more developed and wealthier areas became more isolated after government interventions and experienced a significantly lower burden of the pandemic. The heterogeneity of COVID-19 impact raises important issues in the implementation of NPIs and highlights the challenges that communities affected by systemic health and social inequalities face adapting their behaviors during an epidemic. Fine-grained studies of epidemic spread and of the effect of nonpharmaceutical interventions are still needed to underpin demographic and socio-economic effects. Here, the authors study the spatial and temporal spread of SARS-CoV-2 in Santiago de Chile using anonymized mobile phone data.

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