Spatiotemporal contact density explains the disparity of COVID-19 spread in urban neighborhoods
The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns of New York City and Chicago to identify the relationship between the amount of interpersonal contact between p...
Gespeichert in:
| Veröffentlicht in: | Scientific reports Jg. 11; H. 1; S. 10952 - 11 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
London
Nature Publishing Group UK
26.05.2021
Nature Publishing Group Nature Portfolio |
| Schlagworte: | |
| ISSN: | 2045-2322, 2045-2322 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns of New York City and Chicago to identify the relationship between the amount of interpersonal contact between people in urban neighborhoods and the disparity in the growth of positive cases among these groups. We introduce an aggregate spatiotemporal
contact density index
(CDI) to measure the strength of this interpersonal contact using mobility data collected from mobile phones, and combine it with social distancing metrics to show its effect on positive case growth. With the help of structural equations modeling, we find that the effect of CDI on case growth was consistently positive and that it remained consistently higher in lower-income neighborhoods, suggesting a causal path of income on case growth via CDI. Using the CDI, schools and restaurants are identified as high contact density industries, and the estimation suggests that implementing specific mobility restrictions on these point-of-interest categories is most effective. This analysis can be useful in providing insights for government officials targeting specific population groups and businesses to reduce infection spread as reopening efforts continue to expand across the nation. |
|---|---|
| AbstractList | The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns of New York City and Chicago to identify the relationship between the amount of interpersonal contact between people in urban neighborhoods and the disparity in the growth of positive cases among these groups. We introduce an aggregate spatiotemporal contact density index (CDI) to measure the strength of this interpersonal contact using mobility data collected from mobile phones, and combine it with social distancing metrics to show its effect on positive case growth. With the help of structural equations modeling, we find that the effect of CDI on case growth was consistently positive and that it remained consistently higher in lower-income neighborhoods, suggesting a causal path of income on case growth via CDI. Using the CDI, schools and restaurants are identified as high contact density industries, and the estimation suggests that implementing specific mobility restrictions on these point-of-interest categories is most effective. This analysis can be useful in providing insights for government officials targeting specific population groups and businesses to reduce infection spread as reopening efforts continue to expand across the nation. The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns of New York City and Chicago to identify the relationship between the amount of interpersonal contact between people in urban neighborhoods and the disparity in the growth of positive cases among these groups. We introduce an aggregate spatiotemporal contact density index (CDI) to measure the strength of this interpersonal contact using mobility data collected from mobile phones, and combine it with social distancing metrics to show its effect on positive case growth. With the help of structural equations modeling, we find that the effect of CDI on case growth was consistently positive and that it remained consistently higher in lower-income neighborhoods, suggesting a causal path of income on case growth via CDI. Using the CDI, schools and restaurants are identified as high contact density industries, and the estimation suggests that implementing specific mobility restrictions on these point-of-interest categories is most effective. This analysis can be useful in providing insights for government officials targeting specific population groups and businesses to reduce infection spread as reopening efforts continue to expand across the nation. Abstract The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns of New York City and Chicago to identify the relationship between the amount of interpersonal contact between people in urban neighborhoods and the disparity in the growth of positive cases among these groups. We introduce an aggregate spatiotemporal contact density index (CDI) to measure the strength of this interpersonal contact using mobility data collected from mobile phones, and combine it with social distancing metrics to show its effect on positive case growth. With the help of structural equations modeling, we find that the effect of CDI on case growth was consistently positive and that it remained consistently higher in lower-income neighborhoods, suggesting a causal path of income on case growth via CDI. Using the CDI, schools and restaurants are identified as high contact density industries, and the estimation suggests that implementing specific mobility restrictions on these point-of-interest categories is most effective. This analysis can be useful in providing insights for government officials targeting specific population groups and businesses to reduce infection spread as reopening efforts continue to expand across the nation. The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns of New York City and Chicago to identify the relationship between the amount of interpersonal contact between people in urban neighborhoods and the disparity in the growth of positive cases among these groups. We introduce an aggregate spatiotemporal contact density index (CDI) to measure the strength of this interpersonal contact using mobility data collected from mobile phones, and combine it with social distancing metrics to show its effect on positive case growth. With the help of structural equations modeling, we find that the effect of CDI on case growth was consistently positive and that it remained consistently higher in lower-income neighborhoods, suggesting a causal path of income on case growth via CDI. Using the CDI, schools and restaurants are identified as high contact density industries, and the estimation suggests that implementing specific mobility restrictions on these point-of-interest categories is most effective. This analysis can be useful in providing insights for government officials targeting specific population groups and businesses to reduce infection spread as reopening efforts continue to expand across the nation.The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we study aggregate mobility patterns of New York City and Chicago to identify the relationship between the amount of interpersonal contact between people in urban neighborhoods and the disparity in the growth of positive cases among these groups. We introduce an aggregate spatiotemporal contact density index (CDI) to measure the strength of this interpersonal contact using mobility data collected from mobile phones, and combine it with social distancing metrics to show its effect on positive case growth. With the help of structural equations modeling, we find that the effect of CDI on case growth was consistently positive and that it remained consistently higher in lower-income neighborhoods, suggesting a causal path of income on case growth via CDI. Using the CDI, schools and restaurants are identified as high contact density industries, and the estimation suggests that implementing specific mobility restrictions on these point-of-interest categories is most effective. This analysis can be useful in providing insights for government officials targeting specific population groups and businesses to reduce infection spread as reopening efforts continue to expand across the nation. |
| ArticleNumber | 10952 |
| Author | Verma, Rajat Yabe, Takahiro Ukkusuri, Satish V. |
| Author_xml | – sequence: 1 givenname: Rajat surname: Verma fullname: Verma, Rajat organization: Lyles School of Civil Engineering, Purdue University – sequence: 2 givenname: Takahiro surname: Yabe fullname: Yabe, Takahiro organization: Lyles School of Civil Engineering, Purdue University – sequence: 3 givenname: Satish V. surname: Ukkusuri fullname: Ukkusuri, Satish V. email: sukkusur@purdue.edu organization: Lyles School of Civil Engineering, Purdue University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34040093$$D View this record in MEDLINE/PubMed |
| BookMark | eNp9UsluFDEUbKEgspAf4IBa4sKlwWuPfUFCA4GRIuXAcrW8PM941GM3tgeRv6c7k0CSQ3yx9VxVKr2q0-YopghN8wqjdxhR8b4wzKXoEMGdREzQDj9rTghivCOUkKN77-PmvJQtmg4nkmH5ojmmDDGEJD1p1LdR15Aq7MaU9dDaFKu2tXUQS6jXLfwZBx1iaesGWhfKqPM8Tr5dXv1cfeqwbMuYQbs2xHafjY5thLDemJQ3Kbnysnnu9VDg_PY-a35cfP6-_NpdXn1ZLT9edrbnrHb9wvfADRZ-4Z1HxnDmOHXaANcADowxTgpvdc-tI1x7bTle9A6I45Kanp41q4OuS3qrxhx2Ol-rpIO6GaS8VjrXYAdQvaWCAsUUEWBCOgGeWO96whcCM_CT1oeD1rg3O3AWYp1W80D04U8MG7VOv5XAnCM5m3l7K5DTrz2UqnahWBgGHSHtiyKcUoq5kGSCvnkE3aZ9jtOqZhRhFEshJ9Tr-47-WbnLcQKIA8DmVEoGr2yoc7CzwTAojNTcGnVojZpao25ao_BEJY-od-pPkuiBNIUf4hryf9tPsP4Ct_XWKQ |
| CitedBy_id | crossref_primary_10_1016_j_jag_2023_103246 crossref_primary_10_1007_s41060_024_00627_5 crossref_primary_10_1177_1420326X231158012 crossref_primary_10_1186_s12889_022_13619_6 crossref_primary_10_1057_s41599_023_02431_1 crossref_primary_10_3390_su17052005 crossref_primary_10_1016_j_cities_2022_103892 crossref_primary_10_1140_epjds_s13688_023_00447_w crossref_primary_10_3390_tropicalmed8070349 crossref_primary_10_1038_s41467_023_37913_y crossref_primary_10_1016_j_scitotenv_2022_158056 crossref_primary_10_1080_12265934_2023_2172065 crossref_primary_10_3389_fbuil_2023_1212244 crossref_primary_10_1590_0037_8682_0447_2021 crossref_primary_10_1016_j_cities_2023_104519 crossref_primary_10_1038_s41598_022_10234_8 crossref_primary_10_1038_s41598_022_18857_7 crossref_primary_10_1080_00167428_2022_2155519 crossref_primary_10_3389_ijph_2022_1605128 crossref_primary_10_1016_j_scs_2025_106271 crossref_primary_10_1038_s41598_022_06575_z crossref_primary_10_1038_s43588_024_00637_0 crossref_primary_10_1177_23998083241272095 crossref_primary_10_1016_j_psychsport_2022_102348 crossref_primary_10_1016_j_scitotenv_2021_151534 |
| Cites_doi | 10.2139/ssrn.3624920 10.2139/ssrn.3571421 10.1371/journal.pone.0058802 10.1126/science.abb4218 10.1056/NEJMc2010419 10.1377/hlthaff.2020.00608 10.1101/2020.06.25.20139915 10.1073/pnas.2004978117 10.1038/s41598-020-75033-5 10.1101/2020.05.07.20092353 10.1017/bca.2020.12 10.1073/pnas.2010836117 10.2139/ssrn.3569368 10.3390/su12239892 10.1073/PNAS.2009412117 10.1038/s41586-020-2284-y 10.1126/sciadv.abc0764 10.1080/13658816.2015.1100731 10.3934/mbe.2020266 10.3390/ijgi9110675 10.1001/jama.2020.8598 10.1016/S1473-3099(20)30120-1 10.1080/10255842.2020.1759560 10.7326/M20-0504 10.1038/sdata.2018.286 10.5304/jafscd.2020.101.028 10.1038/s41586-020-2293-x 10.1145/3442188.3445881 10.3386/w27519 10.2139/ssrn.3634613 |
| ContentType | Journal Article |
| Copyright | The Author(s) 2021 The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: The Author(s) 2021 – notice: The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM 3V. 7X7 7XB 88A 88E 88I 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI CCPQU COVID DWQXO FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M2P M7P PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7X8 5PM DOA |
| DOI | 10.1038/s41598-021-90483-1 |
| DatabaseName | Springer Nature Open Access Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed ProQuest Central (Corporate) Health & Medical Collection ProQuest Central (purchase pre-March 2016) Biology Database (Alumni Edition) Medical Database (Alumni Edition) Science Database (Alumni Edition) ProQuest SciTech Collection ProQuest Natural Science Collection Hospital Premium Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One Coronavirus Research Database ProQuest Central Health Research Premium Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences Health & Medical Collection (Alumni Edition) Medical Database Science Database Biological Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Central China ProQuest Biology Journals (Alumni Edition) ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Science Journals (Alumni Edition) ProQuest Biological Science Collection ProQuest Central Basic ProQuest Science Journals ProQuest One Academic Eastern Edition Coronavirus Research Database ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection ProQuest Hospital Collection (Alumni) ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) MEDLINE - Academic |
| DatabaseTitleList | MEDLINE CrossRef Publicly Available Content Database MEDLINE - Academic |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology |
| EISSN | 2045-2322 |
| EndPage | 11 |
| ExternalDocumentID | oai_doaj_org_article_6c383e31302e489d8ef2cfd6257814ef PMC8155096 34040093 10_1038_s41598_021_90483_1 |
| Genre | Research Support, U.S. Gov't, Non-P.H.S Journal Article |
| GeographicLocations | United States |
| GeographicLocations_xml | – name: United States |
| GrantInformation_xml | – fundername: National Science Foundation grantid: CMMI 1638311 – fundername: ; grantid: CMMI 1638311 |
| GroupedDBID | 0R~ 3V. 4.4 53G 5VS 7X7 88A 88E 88I 8FE 8FH 8FI 8FJ AAFWJ AAJSJ AAKDD ABDBF ABUWG ACGFS ACSMW ACUHS ADBBV ADRAZ AENEX AEUYN AFKRA AJTQC ALIPV ALMA_UNASSIGNED_HOLDINGS AOIJS AZQEC BAWUL BBNVY BCNDV BENPR BHPHI BPHCQ BVXVI C6C CCPQU DIK DWQXO EBD EBLON EBS ESX FYUFA GNUQQ GROUPED_DOAJ GX1 HCIFZ HH5 HMCUK HYE KQ8 LK8 M0L M1P M2P M48 M7P M~E NAO OK1 PIMPY PQQKQ PROAC PSQYO RNT RNTTT RPM SNYQT UKHRP AASML AAYXX AFFHD AFPKN CITATION PHGZM PHGZT PJZUB PPXIY PQGLB CGR CUY CVF ECM EIF NPM 7XB 8FK COVID K9. PKEHL PQEST PQUKI PRINS Q9U 7X8 PUEGO 5PM |
| ID | FETCH-LOGICAL-c654t-67f6e5b18f7fdf0bb54d53dabe5aeedebbbd98fca65cd25afac5176de2d593b63 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 27 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000659146000008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2045-2322 |
| IngestDate | Tue Oct 14 19:04:46 EDT 2025 Tue Nov 04 02:01:22 EST 2025 Fri Sep 05 07:39:55 EDT 2025 Tue Oct 07 08:34:57 EDT 2025 Mon Jul 21 06:02:22 EDT 2025 Sat Nov 29 05:58:12 EST 2025 Tue Nov 18 21:52:24 EST 2025 Fri Feb 21 02:39:06 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Language | English |
| License | Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c654t-67f6e5b18f7fdf0bb54d53dabe5aeedebbbd98fca65cd25afac5176de2d593b63 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| OpenAccessLink | https://doaj.org/article/6c383e31302e489d8ef2cfd6257814ef |
| PMID | 34040093 |
| PQID | 2532431989 |
| PQPubID | 2041939 |
| PageCount | 11 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_6c383e31302e489d8ef2cfd6257814ef pubmedcentral_primary_oai_pubmedcentral_nih_gov_8155096 proquest_miscellaneous_2533315892 proquest_journals_2532431989 pubmed_primary_34040093 crossref_citationtrail_10_1038_s41598_021_90483_1 crossref_primary_10_1038_s41598_021_90483_1 springer_journals_10_1038_s41598_021_90483_1 |
| PublicationCentury | 2000 |
| PublicationDate | 2021-05-26 |
| PublicationDateYYYYMMDD | 2021-05-26 |
| PublicationDate_xml | – month: 05 year: 2021 text: 2021-05-26 day: 26 |
| PublicationDecade | 2020 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | Scientific reports |
| PublicationTitleAbbrev | Sci Rep |
| PublicationTitleAlternate | Sci Rep |
| PublicationYear | 2021 |
| Publisher | Nature Publishing Group UK Nature Publishing Group Nature Portfolio |
| Publisher_xml | – name: Nature Publishing Group UK – name: Nature Publishing Group – name: Nature Portfolio |
| References | Brough, Freedman, Phillips (CR5) 2020 Lai (CR17) 2020 Badr (CR18) 2020 Labonté-Lemoyne, Chen, Coursaris, Sénécal, Léger (CR22) 2020; 12 CR39 CR35 CR12 CR11 CR10 Abouk, Heydari (CR14) 2020 CR32 CR31 CR30 Lauer (CR40) 2020; 172 Thunström, Newbold, Finnoff, Ashworth, Shogren (CR1) 2020; 11 Oliver (CR26) 2020; 6 Xiong, Hu, Yang, Luo, Zhang (CR33) 2020 Huang (CR24) 2020; 9 Dong, Du, Gardner (CR9) 2020; 20 Yabe (CR21) 2020; 10 Goyal (CR34) 2020 CR2 Weill, Stigler, Deschenes, Springborn (CR4) 2020; 117 CR3 CR8 Imbruce (CR38) 2020; 10 Andersen (CR15) 2020 Siła-Nowicka (CR28) 2016; 30 CR25 CR23 Jia (CR6) 2020; 582 Webb Hooper, Nápoles, Pérez-Stable (CR7) 2020; 323 Kraemer (CR19) 2020; 368 Jay (CR37) 2020; 4 Courtemanche, Garuccio, Le, Pinkston, Yelowitz (CR13) 2020 Linka, Peirlinck, Sahli Costabal, Kuhl (CR20) 2020; 23 Wang, Yamamoto (CR36) 2020; 17 Gatto (CR16) 2020; 117 de Montjoye (CR27) 2018; 5 Vazquez-Prokopec (CR29) 2013; 8 M Gatto (90483_CR16) 2020; 117 X Huang (90483_CR24) 2020; 9 V Imbruce (90483_CR38) 2020; 10 SA Lauer (90483_CR40) 2020; 172 M Andersen (90483_CR15) 2020 K Linka (90483_CR20) 2020; 23 R Abouk (90483_CR14) 2020 90483_CR35 90483_CR39 C Xiong (90483_CR33) 2020 90483_CR30 E Dong (90483_CR9) 2020; 20 90483_CR11 90483_CR12 90483_CR3 90483_CR31 90483_CR2 90483_CR10 YA de Montjoye (90483_CR27) 2018; 5 90483_CR32 90483_CR8 R Brough (90483_CR5) 2020 É Labonté-Lemoyne (90483_CR22) 2020; 12 P Goyal (90483_CR34) 2020 J Jay (90483_CR37) 2020; 4 T Yabe (90483_CR21) 2020; 10 N Oliver (90483_CR26) 2020; 6 MU Kraemer (90483_CR19) 2020; 368 H Badr (90483_CR18) 2020 M Webb Hooper (90483_CR7) 2020; 323 GM Vazquez-Prokopec (90483_CR29) 2013; 8 L Thunström (90483_CR1) 2020; 11 S Lai (90483_CR17) 2020 90483_CR25 JA Weill (90483_CR4) 2020; 117 K Siła-Nowicka (90483_CR28) 2016; 30 JS Jia (90483_CR6) 2020; 582 H Wang (90483_CR36) 2020; 17 C Courtemanche (90483_CR13) 2020 90483_CR23 |
| References_xml | – year: 2020 ident: CR5 article-title: Understanding socioeconomic disparities in travel behavior during the COVID-19 pandemic publication-title: SSRN Electron. J. doi: 10.2139/ssrn.3624920 – year: 2020 ident: CR14 article-title: The immediate effect of COVID-19 policies on social distancing behavior in the United States publication-title: SSRN Electron. J. doi: 10.2139/ssrn.3571421 – volume: 8 start-page: 1 year: 2013 end-page: 10 ident: CR29 article-title: Using GPS technology to quantify human mobility, dynamic contacts and infectious disease dynamics in a resource-poor urban environment publication-title: PLoS ONE doi: 10.1371/journal.pone.0058802 – volume: 368 start-page: 493 year: 2020 end-page: 497 ident: CR19 article-title: The effect of human mobility and control measures on the COVID-19 epidemic in China publication-title: Science doi: 10.1126/science.abb4218 – year: 2020 ident: CR34 article-title: Clinical characteristics of Covid-19 in New York city publication-title: N. Engl. J. Med. doi: 10.1056/NEJMc2010419 – year: 2020 ident: CR13 article-title: Strong social distancing measures in the United States reduced the COVID-19 growth rate publication-title: Health Affairs doi: 10.1377/hlthaff.2020.00608 – volume: 4 start-page: 4 year: 2020 ident: CR37 article-title: Neighborhood income and physical distancing during the COVID-19 pandemic in the U.S publication-title: medRxiv doi: 10.1101/2020.06.25.20139915 – ident: CR39 – ident: CR2 – ident: CR12 – volume: 117 start-page: 10484 year: 2020 end-page: 10491 ident: CR16 article-title: Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.2004978117 – ident: CR30 – volume: 10 start-page: 1 year: 2020 end-page: 9 ident: CR21 article-title: Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic publication-title: Sci. Rep. doi: 10.1038/s41598-020-75033-5 – ident: CR10 – ident: CR35 – year: 2020 ident: CR18 article-title: Social distancing is effective at mitigating COVID-19 transmission in the United States publication-title: medRxiv doi: 10.1101/2020.05.07.20092353 – volume: 11 start-page: 179 year: 2020 end-page: 195 ident: CR1 article-title: The benefits and costs of using social distancing to flatten the curve for COVID-19 publication-title: J. Benefit-Cost Anal. doi: 10.1017/bca.2020.12 – ident: CR8 – ident: CR25 – year: 2020 ident: CR33 article-title: Mobile device data reveal the dynamics in a positive relationship between human mobility and COVID-19 infections publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.2010836117 – year: 2020 ident: CR15 article-title: Early evidence on social distancing in response to COVID-19 in the United States publication-title: SSRN Electron. J. doi: 10.2139/ssrn.3569368 – ident: CR23 – volume: 12 start-page: 1 year: 2020 end-page: 13 ident: CR22 article-title: The unintended consequences of COVID-19 mitigation measures on mass transit and car use publication-title: Sustainability doi: 10.3390/su12239892 – volume: 117 start-page: 19658 year: 2020 end-page: 19660 ident: CR4 article-title: Social distancing responses to COVID-19 emergency declarations strongly differentiated by income publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/PNAS.2009412117 – volume: 582 start-page: 389 year: 2020 end-page: 394 ident: CR6 article-title: Population flow drives spatio-temporal distribution of COVID-19 in China publication-title: Nature doi: 10.1038/s41586-020-2284-y – volume: 6 start-page: 1 year: 2020 end-page: 7 ident: CR26 article-title: Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle publication-title: Sci. Adv. doi: 10.1126/sciadv.abc0764 – volume: 30 start-page: 881 year: 2016 end-page: 906 ident: CR28 article-title: Analysis of human mobility patterns from GPS trajectories and contextual information publication-title: Int. J. Geogr. Inf. Sci. doi: 10.1080/13658816.2015.1100731 – ident: CR3 – ident: CR31 – volume: 17 start-page: 4891 year: 2020 end-page: 4904 ident: CR36 article-title: Using a partial differential equation with Google Mobility data to predict COVID-19 in Arizona publication-title: Math. Biosci. Eng. doi: 10.3934/mbe.2020266 – ident: CR11 – volume: 9 start-page: 675 year: 2020 ident: CR24 article-title: Time-series clustering for home dwell time during COVID-19: What can we learn from it? publication-title: ISPRS Int. J. Geo-Inf. doi: 10.3390/ijgi9110675 – ident: CR32 – volume: 323 start-page: 2466 year: 2020 end-page: 2467 ident: CR7 article-title: COVID-19 and Racial/Ethnic Disparities publication-title: JAMA doi: 10.1001/jama.2020.8598 – volume: 20 start-page: 533 year: 2020 end-page: 534 ident: CR9 article-title: An interactive web-based dashboard to track COVID-19 in real time publication-title: Lancet Infect. Dis. doi: 10.1016/S1473-3099(20)30120-1 – volume: 23 start-page: 710 year: 2020 end-page: 717 ident: CR20 article-title: Outbreak dynamics of COVID-19 in Europe and the effect of travel restrictions publication-title: Comput. Methods Biomech. Biomed. Eng. doi: 10.1080/10255842.2020.1759560 – volume: 172 start-page: 577 year: 2020 end-page: 582 ident: CR40 article-title: The incubation period of coronavirus disease 2019 (COVID-19) from publicly reported confirmed cases: Estimation and application publication-title: Ann. Intern. Med. doi: 10.7326/M20-0504 – volume: 5 start-page: 1 year: 2018 end-page: 6 ident: CR27 article-title: Comment: On the privacy-conscientious use of mobile phone data publication-title: Sci. Data doi: 10.1038/sdata.2018.286 – volume: 10 start-page: 1 year: 2020 end-page: 5 ident: CR38 article-title: Fostering food equity in an immigrant neighborhood of New York City during COVID-19 publication-title: J. Agric. Food Syst. Community Dev. doi: 10.5304/jafscd.2020.101.028 – year: 2020 ident: CR17 article-title: Effect of non-pharmaceutical interventions to contain COVID-19 in China publication-title: Nature doi: 10.1038/s41586-020-2293-x – volume: 4 start-page: 4 year: 2020 ident: 90483_CR37 publication-title: medRxiv doi: 10.1101/2020.06.25.20139915 – year: 2020 ident: 90483_CR13 publication-title: Health Affairs doi: 10.1377/hlthaff.2020.00608 – volume: 11 start-page: 179 year: 2020 ident: 90483_CR1 publication-title: J. Benefit-Cost Anal. doi: 10.1017/bca.2020.12 – ident: 90483_CR8 – volume: 12 start-page: 1 year: 2020 ident: 90483_CR22 publication-title: Sustainability doi: 10.3390/su12239892 – year: 2020 ident: 90483_CR14 publication-title: SSRN Electron. J. doi: 10.2139/ssrn.3571421 – ident: 90483_CR2 – volume: 117 start-page: 19658 year: 2020 ident: 90483_CR4 publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/PNAS.2009412117 – year: 2020 ident: 90483_CR15 publication-title: SSRN Electron. J. doi: 10.2139/ssrn.3569368 – volume: 323 start-page: 2466 year: 2020 ident: 90483_CR7 publication-title: JAMA doi: 10.1001/jama.2020.8598 – ident: 90483_CR35 – ident: 90483_CR39 doi: 10.1145/3442188.3445881 – year: 2020 ident: 90483_CR34 publication-title: N. Engl. J. Med. doi: 10.1056/NEJMc2010419 – volume: 368 start-page: 493 year: 2020 ident: 90483_CR19 publication-title: Science doi: 10.1126/science.abb4218 – volume: 20 start-page: 533 year: 2020 ident: 90483_CR9 publication-title: Lancet Infect. Dis. doi: 10.1016/S1473-3099(20)30120-1 – volume: 30 start-page: 881 year: 2016 ident: 90483_CR28 publication-title: Int. J. Geogr. Inf. Sci. doi: 10.1080/13658816.2015.1100731 – volume: 172 start-page: 577 year: 2020 ident: 90483_CR40 publication-title: Ann. Intern. Med. doi: 10.7326/M20-0504 – ident: 90483_CR31 – year: 2020 ident: 90483_CR5 publication-title: SSRN Electron. J. doi: 10.2139/ssrn.3624920 – ident: 90483_CR12 – ident: 90483_CR10 – volume: 23 start-page: 710 year: 2020 ident: 90483_CR20 publication-title: Comput. Methods Biomech. Biomed. Eng. doi: 10.1080/10255842.2020.1759560 – volume: 17 start-page: 4891 year: 2020 ident: 90483_CR36 publication-title: Math. Biosci. Eng. doi: 10.3934/mbe.2020266 – volume: 9 start-page: 675 year: 2020 ident: 90483_CR24 publication-title: ISPRS Int. J. Geo-Inf. doi: 10.3390/ijgi9110675 – ident: 90483_CR23 – volume: 6 start-page: 1 year: 2020 ident: 90483_CR26 publication-title: Sci. Adv. doi: 10.1126/sciadv.abc0764 – volume: 5 start-page: 1 year: 2018 ident: 90483_CR27 publication-title: Sci. Data doi: 10.1038/sdata.2018.286 – ident: 90483_CR30 doi: 10.3386/w27519 – volume: 8 start-page: 1 year: 2013 ident: 90483_CR29 publication-title: PLoS ONE doi: 10.1371/journal.pone.0058802 – ident: 90483_CR3 – year: 2020 ident: 90483_CR33 publication-title: Proc. Natl. Acad. Sci. doi: 10.1073/pnas.2010836117 – year: 2020 ident: 90483_CR18 publication-title: medRxiv doi: 10.1101/2020.05.07.20092353 – volume: 10 start-page: 1 year: 2020 ident: 90483_CR21 publication-title: Sci. Rep. doi: 10.1038/s41598-020-75033-5 – year: 2020 ident: 90483_CR17 publication-title: Nature doi: 10.1038/s41586-020-2293-x – volume: 10 start-page: 1 year: 2020 ident: 90483_CR38 publication-title: J. Agric. Food Syst. Community Dev. doi: 10.5304/jafscd.2020.101.028 – volume: 117 start-page: 10484 year: 2020 ident: 90483_CR16 publication-title: Proc. Natl. Acad. Sci. USA doi: 10.1073/pnas.2004978117 – volume: 582 start-page: 389 year: 2020 ident: 90483_CR6 publication-title: Nature doi: 10.1038/s41586-020-2284-y – ident: 90483_CR32 – ident: 90483_CR25 doi: 10.2139/ssrn.3634613 – ident: 90483_CR11 |
| SSID | ssj0000529419 |
| Score | 2.4953601 |
| Snippet | The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this study, we... Abstract The rapid early spread of COVID-19 in the US was experienced very differently by different socioeconomic groups and business industries. In this... |
| SourceID | doaj pubmedcentral proquest pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 10952 |
| SubjectTerms | 639/166/986 692/699/255/2514 Cellular telephones Communicable Disease Control Computational Biology Contact Tracing - methods Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - transmission Datasets as Topic Government Programs Humanities and Social Sciences Humans Mobility Models, Statistical multidisciplinary Neighborhoods SARS-CoV-2 - physiology Schools Science Science (multidisciplinary) Socioeconomic Factors United States Urban Population |
| SummonAdditionalLinks | – databaseName: Biological Science Database dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Zb9QwELaggNQX7iNQkJF4g6hxfMR-QlCoQEKlEof6ZvmESKvsdpNF9N_j8WZTLUdfeHUcyc7MeGY8X75B6BmpHWW2cilN9bFM-ZcqramqMoUizDV1FLXNJK4fmqMjeXKijscLt36EVW7OxHxQ-7mDO_L9mifXTwHh83JxWkLXKKiuji00LqMrwJJAM3TveLpjgSoWI2r8V6aicr9P_gr-Kcu4BCZpSbb8Uabt_1us-Sdk8re6aXZHhzf-dyM30fUxEMWv1ppzC10K3W10bd2a8uwO0p8y1HpkrpphgLQbN2APgPfhDIefi5lpux6nABL7todmhml4HvHBx6_v35RE4bT0pEC47fBqaU2HO7iFTSoHRMr9XfTl8O3ng3fl2IyhdIKzoRRNFIFbImMTfays5cxz6o0N3CQ_G6y1XsnojODO19xE4zhphA-154paQe-hnW7ehQcIO-OCcsqkWJExaqOiwnGTMmIXlSMyFIhsRKLdyFQODTNmOlfMqdRrMeokRp3FqEmBnk_vLNY8HRfOfg2SnmYCx3YemC-_6dFktXApew8UKruBSeVliLWLXsAhR1iIBdrbCFiPht_rc-kW6On0OJks1GFMF-arPIdSwqWqC3R_rVbTSiiDU1XRAjVbCre11O0nXfs904JLyDaVKNCLjWqeL-vfn-Lhxbt4hHZrsJYKsJB7aGdYrsJjdNX9GNp--SSb2y9hDjOL priority: 102 providerName: ProQuest |
| Title | Spatiotemporal contact density explains the disparity of COVID-19 spread in urban neighborhoods |
| URI | https://link.springer.com/article/10.1038/s41598-021-90483-1 https://www.ncbi.nlm.nih.gov/pubmed/34040093 https://www.proquest.com/docview/2532431989 https://www.proquest.com/docview/2533315892 https://pubmed.ncbi.nlm.nih.gov/PMC8155096 https://doaj.org/article/6c383e31302e489d8ef2cfd6257814ef |
| Volume | 11 |
| WOSCitedRecordID | wos000659146000008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: DOA dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M~E dateStart: 20110101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M7P dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: 7X7 dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: BENPR dateStart: 20110101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Science Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: M2P dateStart: 20110101 isFulltext: true titleUrlDefault: https://search.proquest.com/sciencejournals providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 2045-2322 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000529419 issn: 2045-2322 databaseCode: PIMPY dateStart: 20110101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELagBYkL4k2grIzEDaLGz9hHWlpRiS4rXlpOlp8i0ipbbXar9t9jO9mly_PCxQfHUayZz_ZMZvwNAC8QtoSaykY31YUy-l-yNLqqymiKUFvjwLHJJK7v6vFYTKdycqXUV8oJ6-mBe8Htcxt9KE9SfM1TIZ3wAdvgeIIaoj6k3TdaPVecqZ7VG0uK5HBLpiJiv4snVbpNljMSqCAl2jqJMmH_76zMX5Mlf4qY5oPo-A64PViQ8HU_87vgmm_vgZt9TcnL-0B9zDnSA-XUDKZcdG2X0KVM9eUl9BdnM920HYyWH3RNl6oQxu55gIfvv5y8KZGE8ctR87Bp4WphdAvb9Ps0YiUxIHcPwOfjo0-Hb8uhikJpOaPLkteBe2aQCHVwoTKGUceI08YzHQ9Ib4xxUgSrObMOMx20ZajmzmPHJDGcPAQ77bz1jwG02npppY5GHqXEBEm4ZTq6sjZIi4QvAFpLVNmBYjxVupipHOomQvVaUFELKmtBoQK83Lxz1hNs_HX0QVLUZmQix84dETJqgIz6F2QKsLdWsxpWbKcwi6YlSRlkBXi-eRzXWgqg6NbPV3kMIYgJiQvwqEfFZiaEpu1QkgLUW3jZmur2k7b5lvm8RXITJS_AqzWyfkzrz6J48j9E8RTcwmlJVCnVcQ_sLBcr_wzcsOfLpluMwPV6WudWjMDuwdF48mGU11lsT_EktXVsdycnp5Ov3wFlQSw8 |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFD4aAwQv3C-BAUaCJ4iW2HFiPyAEG9OqlTKJgfZmfIVKVVqaFuif4jdiO2mnctnbHni1nchxvnOzP58D8CTHmhQq0z5MNS718RdPlcyy1Lsiha6wK7GKSVz71WDAjo_54Qb8XN6FCbTKpU6MitqMddgj38bUm34SGD4vJ1_TUDUqnK4uS2i0sDiwi-8-ZGte9Hb9_32K8d6bo539tKsqkOqSFrO0rFxpqcqZq5xxmVK0MJQYqSyV3mBYpZThzGlZUm0wlU5qmlelsdhQTlRJ_HvPwXnvRmAWqYKHqz2dcGpW5Ly7m5MRtt14-xjusEUeRMFImq_Zv1gm4G--7Z8Uzd_OaaP527v6vy3cNbjSOdroVSsZ12HD1jfgYlt6c3ETxPtIJe8yc41QoOxLPUMmEPpnC2R_TEZyWDfIO8jIDJtQrNE3jx3aefext5vmHPml8gKChjWaT5WsUR12mb1IhUTRzS34cCZfdxs263Ft7wLSUluuufS-cFEQ5TgpNZU-4teO65zZBPIlBITuMrGHgiAjERkBhIkWNsLDRkTYiDyBZ6tnJm0eklNHvw7IWo0MOcRjw3j6WXQqSZSasLAFTjJsC8YNsw5rZ8qgxPPCugS2loASnWJrxAmaEni86vYqKZwzydqO53EMITllHCdwp4XxaiakCFaDkwSqNYCvTXW9px5-iWnPWYimeZnA86UonEzr30tx7_SveASX9o_e9kW_Nzi4D5dxkNQs8D63YHM2ndsHcEF_mw2b6cMo6gg-nbWI_AL40JcM |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Jj9MwFLaGYREX9iUwgJHgxERN7NixDwjBlIpqRqUSi-ZmvEKlKi1NC_Sv8euwnaSjssxtDlxtJ3Kc7y1-_vweAE9ypHGhMu23qcalfv_FUyWzLPWuSKFL5ChSMYnrUTkaseNjPt4BP7u7MIFW2enEqKjNTIcYeQ8Rb_pxYPj0XEuLGPcHL-Zf01BBKpy0duU0Gogc2vV3v32rnw_7_l8_RWjw-v3Bm7StMJBqSoplSktHLVE5c6UzLlOKFIZgI5Ul0hsPq5QynDktKdEGEemkJnlJjUWGcKwo9u89B86XIWl5pA2ON_GdcIJW5Ly9p5Nh1qu9rQz32SInomA4zbdsYSwZ8Dc_90-65m9nttEUDq7-z4t4DVxpHXD4spGY62DHVjfAxaYk5_omEO8ixbzN2DWFgcov9RKaQPRfrqH9MZ_KSVVD7zhDM6lDEUffPHPw4O3HYT_NOfTL5gUHTiq4WihZwSpEn72ohQTS9S3w4Uy-7jbYrWaVvQugltpyzaX3kYsCK8cx1UQShLXjOmc2AXkHB6HbDO2hUMhURKYAZqKBkPAQEhFCIk_As80z8yY_yamjXwWUbUaG3OKxYbb4LFpVJajGLITGcYZswbhh1iHtDA3KPS-sS8BeBy7RKrxanCArAY833V5VhfMnWdnZKo7BOCeMowTcaSC9mQkugjXhOAHlFti3prrdU02-xHToLOyyOU3AficWJ9P691LcO_0rHoFLXjLE0XB0eB9cRkFos0AH3QO7y8XKPgAX9LflpF48jFIPwaezlpBfQX6fyQ |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Spatiotemporal+contact+density+explains+the+disparity+of+COVID-19+spread+in+urban+neighborhoods&rft.jtitle=Scientific+reports&rft.au=Rajat+Verma&rft.au=Takahiro+Yabe&rft.au=Satish+V.+Ukkusuri&rft.date=2021-05-26&rft.pub=Nature+Portfolio&rft.eissn=2045-2322&rft.volume=11&rft.issue=1&rft.spage=1&rft.epage=11&rft_id=info:doi/10.1038%2Fs41598-021-90483-1&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_6c383e31302e489d8ef2cfd6257814ef |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2045-2322&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2045-2322&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2045-2322&client=summon |