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Barreras F, Watts DJ. The exciting potential and daunting challenge of using GPS human-mobility data for epidemic modeling. NATURE COMPUTATIONAL SCIENCE 2024; 4:398-411. [PMID: 38898315 DOI: 10.1038/s43588-024-00637-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 05/02/2024] [Indexed: 06/21/2024]
Abstract
Large-scale GPS location datasets hold immense potential for measuring human mobility and interpersonal contact, both of which are essential for data-driven epidemiology. However, despite their potential and widespread adoption during the COVID-19 pandemic, there are several challenges with these data that raise concerns regarding the validity and robustness of its applications. Here we outline two types of challenges-some related to accessing and processing these data, and some related to data quality-and propose several research directions to address them moving forward.
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Affiliation(s)
- Francisco Barreras
- Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.
| | - Duncan J Watts
- Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, USA.
- Operations, Information and Decisions Department, Wharton School, University of Pennsylvania, Philadelphia, PA, USA.
- Annenberg School of Communication, University of Pennsylvania, Philadelphia, PA, USA.
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Xu M, Wilson JP, Bruine de Bruin W, Lerner L, Horn AL, Livings MS, de la Haye K. New insights into grocery store visits among east Los Angeles residents using mobility data. Health Place 2024; 87:103220. [PMID: 38492528 DOI: 10.1016/j.healthplace.2024.103220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/18/2024]
Abstract
In this study, we employed spatially aggregated population mobility data, generated from mobile phone locations in 2021, to investigate patterns of grocery store visits among residents east and northeast of Downtown Los Angeles, in which 60% of the census tracts had previously been designated as "food deserts". Further, we examined whether the store visits varied with neighborhood sociodemographics and grocery store accessibility. We found that residents averaged 0.4 trips to grocery stores per week, with only 13% of these visits within home census tracts, and 40% within home and neighboring census tracts. The mean distance from home to grocery stores was 2.2 miles. We found that people visited grocery stores more frequently when they lived in neighborhoods with higher percentages of Hispanics/Latinos, renters and foreign-born residents, and a greater number of grocery stores. This research highlights the utility of mobility data in elucidating grocery store use, and factors that may facilitate or be a barrier to store access. The results point to limitations of using geographically constrained metrics of food access like food deserts.
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Affiliation(s)
- Mengya Xu
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA.
| | - John P Wilson
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA; Department of Sociology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 851 Downey Way HSH 314, Los Angeles, CA 90089, USA; Department of Civil & Environmental Engineering and Computer Science, Viterbi School of Engineering, University of Southern California, 3650 McClintock Avenue, Los Angeles, CA 90089, USA; Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto Street, Los Angeles, CA 90032, USA; School of Architecture, University of Southern California, 850 Bloom Walk WAH 204, Los Angeles, CA 90089, USA.
| | - Wändi Bruine de Bruin
- Sol Price School of Public Policy, University of Southern California, 650 Childs Way RGL 311, Los Angeles, CA 90089, USA; Department of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, 3620 S McClintock Avenue SGM 501, Los Angeles, CA 90089, USA; Center for Economic and Social Research, University of Southern California, Los Angeles, 635 Downey Way VPD, Los Angeles, CA 90089, USA.
| | - Leo Lerner
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA.
| | - Abigail L Horn
- Information Sciences Institute and Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, 3650 McClintock Avenue, Los Angeles, CA 90089, USA.
| | - Michelle Sarah Livings
- Center for Research on Child and Family Wellbeing, School of Public & International Affairs, Princeton University, Princeton, NJ 08544, USA.
| | - Kayla de la Haye
- Spatial Sciences Institute, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, 3616 Trousdale Parkway AHF B55, Los Angeles, CA 90089, USA; Center for Economic and Social Research, University of Southern California, Los Angeles, 635 Downey Way VPD, Los Angeles, CA 90089, USA.
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García Bulle Bueno B, Horn AL, Bell BM, Bahrami M, Bozkaya B, Pentland A, de la Haye K, Moro E. Effect of mobile food environments on fast food visits. Nat Commun 2024; 15:2291. [PMID: 38480685 PMCID: PMC10937966 DOI: 10.1038/s41467-024-46425-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Accepted: 02/26/2024] [Indexed: 03/17/2024] Open
Abstract
Poor diets are a leading cause of morbidity and mortality. Exposure to low-quality food environments saturated with fast food outlets is hypothesized to negatively impact diet. However, food environment research has predominantly focused on static food environments around home neighborhoods and generated mixed findings. In this work, we leverage population-scale mobility data in the U.S. to examine 62M people's visits to food outlets and evaluate how food choice is influenced by the food environments people are exposed to as they move through their daily routines. We find that a 10% increase in exposure to fast food outlets in mobile environments increases individuals' odds of visitation by 20%. Using our results, we simulate multiple policy strategies for intervening on food environments to reduce fast-food outlet visits. This analysis suggests that optimal interventions are informed by spatial, temporal, and behavioral features and could have 2x to 4x larger effect than traditional interventions focused on home food environments.
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Affiliation(s)
| | - Abigail L Horn
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Industrial and Systems Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90089, USA
- Information Sciences Institute, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, 90292, USA
| | - Brooke M Bell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90089, USA
- Department of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, 06510, USA
| | - Mohsen Bahrami
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Burçin Bozkaya
- Sabanci Business School, Sabanci University, 34956, Tuzla, Istanbul, Turkey
| | - Alex Pentland
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Kayla de la Haye
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, 90089, USA
| | - Esteban Moro
- Institute for Data, Systems, and Society, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
- Grupo Interdisciplinar de Sistemas Complejos (GISC), Department of Mathematics and GISC, Universidad Carlos III de Madrid, 28911, Leganés, Spain.
- Network Science Institute, Northeastern University, Boston, MA, 02115, USA.
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Guldemond N. What is meant by 'integrated personalized diabetes management': A view into the future and what success should look like. Diabetes Obes Metab 2024; 26 Suppl 1:14-29. [PMID: 38328815 DOI: 10.1111/dom.15476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 02/09/2024]
Abstract
Integrated personalized diabetes management (IPDM) has emerged as a promising approach to improving outcomes in patients with diabetes mellitus (DM). This care approach emphasizes the integration and coordination of different providers, including physicians, nurses, dietitians, social workers and pharmacists. The goal of IPDM is to provide patients with personalized care that is tailored to their needs. This review addresses the concept of integrated care and the use of technology (including data, software applications and artificial intelligence) as well as managerial, regulatory and financial aspects. The implementation and upscaling of digitally enabled IPDM are discussed, with elaboration of successful practices and related evidence. Finally, recommendations are made. It is concluded that the adoption of digitally enabled IPDM on a global level is inevitable, considering the challenges created by an increasing prevalence of patients with DM and the need for better outcomes and improvement of health system sustainability.
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Affiliation(s)
- Nick Guldemond
- Department of Public Health and Primary Care, Leiden Universitair Medisch Centrum, Leiden, Netherlands
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