Jennifer Turnnidge , Oluwatoyosi Kuforiji , Sina Sayyad , Sarah Greco , Sawmmiya Kirupaharan , Angélique Roy , Nancy Dalgarno , Angel Zhou , Mir Sanim Al Mamun , Hiroshi Mamiya , Khai Hoan Tram , Sahar Saeed
{"title":"综合流动数据如何为公共卫生研究提供信息?","authors":"Jennifer Turnnidge , Oluwatoyosi Kuforiji , Sina Sayyad , Sarah Greco , Sawmmiya Kirupaharan , Angélique Roy , Nancy Dalgarno , Angel Zhou , Mir Sanim Al Mamun , Hiroshi Mamiya , Khai Hoan Tram , Sahar Saeed","doi":"10.1016/j.hlpt.2025.101055","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>The widespread adoption of smartphones has enabled the collection and analysis of population-level mobility patterns through Aggregated Mobility Data. This type of data, which is derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. This data derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. We explore how this novel data source has been used in public health studies, its benefits, limitations, and ethical considerations.</div></div><div><h3>Methods</h3><div>We conducted a narrative review of Aggregated Mobility Data applications in public health research, critically examining its potential and challenges. A systematic search of Embase and Google Scholar identified 645 peer-reviewed primary research articles. We included English peer-reviewed and primary research published between 2010–2024 where aggregated mobility data was being used to evaluate a public health outcome. After applying inclusion criteria, 95 studies were included for narrative synthesis and descriptive quantitative analysis.</div></div><div><h3>Results</h3><div>We found the majority of studies to date using Aggregated Mobility Data were related to COVID-19. Reporting of ethical and privacy considerations varied widely, with some studies undergoing formal ethics review and others citing exemptions based on the use of anonymized or aggregate data. Key limitations of Aggregated Mobility Data included restricted access to data sources and challenges associated with small population sizes.</div></div><div><h3>Conclusion</h3><div>This review underscores the potential of Aggregated Mobility Data in public health research and highlights key considerations for researchers and policymakers. Future studies should address ethical standardization, data accessibility, and broader applications beyond infectious disease surveillance to fully leverage the utility of Aggregated Mobility Data in public health decision-making.</div></div><div><h3>Public Interest Summary</h3><div>With the rise of smartphones, researchers can now track population movement using Aggregated Mobility Data from mobile devices. This data has been widely used in public health, especially during COVID-19, to understand how people move and how that impacts disease spread. However, access to this data is often restricted, and ethical considerations like privacy protections vary across studies. Our review examined 95 studies to assess the applications in public health research. While this data offers valuable insights, future research should focus on standardizing ethical guidelines, improving data access, and expanding its use beyond infectious disease tracking to other public health challenges.</div></div>","PeriodicalId":48672,"journal":{"name":"Health Policy and Technology","volume":"14 5","pages":"Article 101055"},"PeriodicalIF":3.7000,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How has Aggregated Mobility Data-informed public health research?\",\"authors\":\"Jennifer Turnnidge , Oluwatoyosi Kuforiji , Sina Sayyad , Sarah Greco , Sawmmiya Kirupaharan , Angélique Roy , Nancy Dalgarno , Angel Zhou , Mir Sanim Al Mamun , Hiroshi Mamiya , Khai Hoan Tram , Sahar Saeed\",\"doi\":\"10.1016/j.hlpt.2025.101055\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>The widespread adoption of smartphones has enabled the collection and analysis of population-level mobility patterns through Aggregated Mobility Data. This type of data, which is derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. This data derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. We explore how this novel data source has been used in public health studies, its benefits, limitations, and ethical considerations.</div></div><div><h3>Methods</h3><div>We conducted a narrative review of Aggregated Mobility Data applications in public health research, critically examining its potential and challenges. A systematic search of Embase and Google Scholar identified 645 peer-reviewed primary research articles. We included English peer-reviewed and primary research published between 2010–2024 where aggregated mobility data was being used to evaluate a public health outcome. After applying inclusion criteria, 95 studies were included for narrative synthesis and descriptive quantitative analysis.</div></div><div><h3>Results</h3><div>We found the majority of studies to date using Aggregated Mobility Data were related to COVID-19. Reporting of ethical and privacy considerations varied widely, with some studies undergoing formal ethics review and others citing exemptions based on the use of anonymized or aggregate data. Key limitations of Aggregated Mobility Data included restricted access to data sources and challenges associated with small population sizes.</div></div><div><h3>Conclusion</h3><div>This review underscores the potential of Aggregated Mobility Data in public health research and highlights key considerations for researchers and policymakers. Future studies should address ethical standardization, data accessibility, and broader applications beyond infectious disease surveillance to fully leverage the utility of Aggregated Mobility Data in public health decision-making.</div></div><div><h3>Public Interest Summary</h3><div>With the rise of smartphones, researchers can now track population movement using Aggregated Mobility Data from mobile devices. This data has been widely used in public health, especially during COVID-19, to understand how people move and how that impacts disease spread. However, access to this data is often restricted, and ethical considerations like privacy protections vary across studies. Our review examined 95 studies to assess the applications in public health research. While this data offers valuable insights, future research should focus on standardizing ethical guidelines, improving data access, and expanding its use beyond infectious disease tracking to other public health challenges.</div></div>\",\"PeriodicalId\":48672,\"journal\":{\"name\":\"Health Policy and Technology\",\"volume\":\"14 5\",\"pages\":\"Article 101055\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Policy and Technology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211883725000838\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Policy and Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211883725000838","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
How has Aggregated Mobility Data-informed public health research?
Objective
The widespread adoption of smartphones has enabled the collection and analysis of population-level mobility patterns through Aggregated Mobility Data. This type of data, which is derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. This data derived from both operator and crowdsourced sources, presents opportunities and challenges for public health research. We explore how this novel data source has been used in public health studies, its benefits, limitations, and ethical considerations.
Methods
We conducted a narrative review of Aggregated Mobility Data applications in public health research, critically examining its potential and challenges. A systematic search of Embase and Google Scholar identified 645 peer-reviewed primary research articles. We included English peer-reviewed and primary research published between 2010–2024 where aggregated mobility data was being used to evaluate a public health outcome. After applying inclusion criteria, 95 studies were included for narrative synthesis and descriptive quantitative analysis.
Results
We found the majority of studies to date using Aggregated Mobility Data were related to COVID-19. Reporting of ethical and privacy considerations varied widely, with some studies undergoing formal ethics review and others citing exemptions based on the use of anonymized or aggregate data. Key limitations of Aggregated Mobility Data included restricted access to data sources and challenges associated with small population sizes.
Conclusion
This review underscores the potential of Aggregated Mobility Data in public health research and highlights key considerations for researchers and policymakers. Future studies should address ethical standardization, data accessibility, and broader applications beyond infectious disease surveillance to fully leverage the utility of Aggregated Mobility Data in public health decision-making.
Public Interest Summary
With the rise of smartphones, researchers can now track population movement using Aggregated Mobility Data from mobile devices. This data has been widely used in public health, especially during COVID-19, to understand how people move and how that impacts disease spread. However, access to this data is often restricted, and ethical considerations like privacy protections vary across studies. Our review examined 95 studies to assess the applications in public health research. While this data offers valuable insights, future research should focus on standardizing ethical guidelines, improving data access, and expanding its use beyond infectious disease tracking to other public health challenges.
期刊介绍:
Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments.
HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology.
Topics covered by HPT will include:
- Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems
- Cross-national comparisons on health policy using evidence-based approaches
- National studies on health policy to determine the outcomes of technology-driven initiatives
- Cross-border eHealth including health tourism
- The digital divide in mobility, access and affordability of healthcare
- Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies
- Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies
- Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making
- Stakeholder engagement with health technologies (clinical and patient/citizen buy-in)
- Regulation and health economics