Add wos sample results library

02-data/intermediate/wos_sample/d0d4d7c2f8b32962d55c706552893822-sun-qianqian-and-zh/info.yaml

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+abstract: 'Mobility interventions in communities play a critical role in containing
+
+  a pandemic at an early stage. The real-world practice of social
+
+  distancing can enlighten policymakers and help them implement more
+
+  efficient and effective control measures. A lack of such research using
+
+  real-world observations initiates this article. We analyzed the social
+
+  distancing performance of 66,149 census tracts from 3,142 counties in
+
+  the United States with a specific focus on income profile. Six daily
+
+  mobility metrics, including a social distancing index, stay-at-home
+
+  percentage, miles traveled per person, trip rate, work trip rate, and
+
+  non-work trip rate, were produced for each census tract using the
+
+  location data from over 100 million anonymous devices on a monthly
+
+  basis. Each mobility metric was further tabulated by three perspectives
+
+  of social distancing performance: ``best performance,{''''} ``effort,{''''}
+
+  and ``consistency.{''''} We found that for all 18 indicators, high-income
+
+  communities demonstrated better social distancing performance. Such
+
+  disparities between communities of different income levels are presented
+
+  in detail in this article. The comparisons across scenarios also raise
+
+  other concerns for low-income communities, such as employment status,
+
+  working conditions, and accessibility to basic needs. This article lays
+
+  out a series of facts extracted from real-world data and offers
+
+  compelling perspectives for future discussions.'
+affiliation: 'Sun, QQ (Corresponding Author), Univ Maryland, Maryland Transportat
+  Inst MTI, Dept Civil \& Environm Engn, 8228 Paint Branch Dr, College Pk, MD 20742
+  USA.
+
+  Sun, Qianqian; Zhou, Weiyi; Kabiri, Aliakbar; Darzi, Aref; Hu, Songhua; Younes,
+  Hannah; Zhang, Lei, Univ Maryland, Maryland Transportat Inst MTI, Dept Civil \&
+  Environm Engn, 8228 Paint Branch Dr, College Pk, MD 20742 USA.'
+author: Sun, Qianqian and Zhou, Weiyi and Kabiri, Aliakbar and Darzi, Aref and Hu,
+  Songhua and Younes, Hannah and Zhang, Lei
+author-email: qsun12@umd.edu
+author_list:
+- family: Sun
+  given: Qianqian
+- family: Zhou
+  given: Weiyi
+- family: Kabiri
+  given: Aliakbar
+- family: Darzi
+  given: Aref
+- family: Hu
+  given: Songhua
+- family: Younes
+  given: Hannah
+- family: Zhang
+  given: Lei
+da: '2023-09-28'
+doi: 10.1111/rsp3.12598
+earlyaccessdate: DEC 2022
+files: []
+issn: 1757-7802
+journal: REGIONAL SCIENCE POLICY AND PRACTICE
+keywords: 'causal impact analysis of income; community differences; COVID-19
+
+  pandemic; Mobile location data; social distancing behavior'
+keywords-plus: PROPENSITY; BEHAVIOR
+language: English
+month: APR
+number: '3'
+number-of-cited-references: '38'
+orcid-numbers: 'HU, SONGHUA/0000-0002-0731-3080
+
+  Kabiri, Aliakbar/0000-0003-2119-007X'
+pages: 541-558
+papis_id: 53e327c1364340af1b1e9703a483eaeb
+ref: Sun2023covid19income
+researcherid-numbers: 'HU, SONGHUA/ABF-2415-2021
+
+  '
+times-cited: '1'
+title: 'COVID-19 and income profile: How communities in the United States responded
+  to mobility restrictions in the pandemic''s early stages'
+type: Article
+unique-id: WOS:000896574300001
+usage-count-last-180-days: '1'
+usage-count-since-2013: '1'
+volume: '15'
+web-of-science-categories: Geography
+year: '2023'