Your browser doesn't support javascript.
Fine-grained data reveal segregated mobility networks and opportunities for local containment of COVID-19.
Fan, Chao; Lee, Ronald; Yang, Yang; Mostafavi, Ali.
  • Fan C; Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, 77843, USA. chfan@tamu.edu.
  • Lee R; Department of Computer Science and Engineering, Texas A&M University, College Station, TX, 77843, USA.
  • Yang Y; Department of Computer Science and Engineering, Texas A&M University, College Station, TX, 77843, USA.
  • Mostafavi A; Zachry Department of Civil and Environmental Engineering, Texas A&M University, College Station, TX, 77843, USA. amostafavi@civil.tamu.edu.
Sci Rep ; 11(1): 16895, 2021 08 19.
Article in English | MEDLINE | ID: covidwho-1366828
ABSTRACT
Deriving effective mobility control measures is critical for the control of COVID-19 spreading. In response to the COVID-19 pandemic, many countries and regions implemented travel restrictions and quarantines to reduce human mobility and thus reduce virus transmission. But since human mobility decreased heterogeneously, we lack empirical evidence of the extent to which the reductions in mobility alter the way people from different regions of cities are connected, and what containment policies could complement mobility reductions to conquer the pandemic. Here, we examined individual movements in 21 of the most affected counties in the United States, showing that mobility reduction leads to a segregated place network and alters its relationship with pandemic spread. Our findings suggest localized area-specific policies, such as geo-fencing, as viable alternatives to city-wide lockdown for conquering the pandemic after mobility was reduced.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Control, Formal / SARS-CoV-2 / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-95894-8

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Social Control, Formal / SARS-CoV-2 / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: North America Language: English Journal: Sci Rep Year: 2021 Document Type: Article Affiliation country: S41598-021-95894-8