Monitoring social distancing and SARS-CoV-2 transmission in Brazil using cell phone mobility data
Silvano B de Oliveira,
Victor Bertollo Gomes Porto,
Fabio Macedo Mendes,
Wanderson Kleber de Oliveira,
Francieli Fontana Sutile Tardetti Fantinato,
Walquiria Aparecida Ferreira de Almeida,
Abel Pereira de Macedo Borges,
Hector Natan Batista Pinheiro,
Raiza dos Santos Oliveira,
Jason R Andrews,
Nuno R. Faria,
Marcelo Barreto Lopes,
Wildo Navegantes de Araújo,
Fredi A Diaz-Quijano,
Helder I Nakaya,
Posted 05 May 2020
medRxiv DOI: 10.1101/2020.04.30.20082172
Posted 05 May 2020
Social distancing measures have emerged as the predominant intervention for containing the spread of COVID-19, but evaluating adherence and effectiveness remains a challenge. We assessed the relationship between aggregated mobility data collected from mobile phone users and the time-dependent reproduction number R(t), using severe acute respiratory illness (SARI) cases reported by Sao Paulo and Rio de Janeiro. We found that the proportion of individuals staying home all day (isolation index) had a strong inverse correlation with R(t) (rho<-0.7) and was predictive of COVID-19 transmissibility (p<0.0001). Furthermore, indexs of 46.7% had the highest accuracy (93.9%) to predict R(t) below one. This metric can be monitored in real time to assess adherence to social distancing measures and predict their effectiveness for controlling SARS-CoV-2 transmission.
- Downloaded 1,029 times
- Download rankings, all-time:
- Site-wide: 25,597
- In infectious diseases: 2,282
- Year to date:
- Site-wide: 45,503
- Since beginning of last month:
- Site-wide: 58,725
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!