ReviewThe Journal of infectious diseases2016
Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data.
Review in The Journal of infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
106 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of the data, methods and environmental covariates used to map Aedes-borne arbovirus transmission risk.BMC infectious diseases · 2023Pooled it
- Characterizing the impact of incorporating spatially aggregated human mobility data into infectious disease models.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Causal inference for targeted public health interventions: interactions among environmental, social, and economic determinants within the one health framework.Journal of water and health · 2026Review
- Human mobility and outbreak origins in epidemic spread: Insights from agent-based modeling.PLoS computational biology · 2026Article
- Real-time digital prescriptions unlock influenza dynamics: evidence from 21 million transactions.NPJ digital medicine · 2026Article
- Challenges for the effectiveness of infectious disease interventions during global change.Communications health · 2026Article
- Inferring mobility reductions from COVID-19 disease spread along the urban-rural gradient.Frontiers in public health · 2026Article
- Human mobility and sewage data correlate with COVID-19 epidemic evolution in a 3-year surveillance of the metropolitan area of Bologna.BMC infectious diseases · 2025Article
- Improving policy design and epidemic response using integrated models of economic choice and disease dynamics with behavioral feedback.PLoS computational biology · 2025Article
- Characterizing population-level changes in human behavior during the COVID-19 pandemic in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Prevalence of malaria and associated risk factors among febrile under-five refugee children attending Panyadoli Health Centre III, Kiryandongo District, Mid-western Uganda.Malaria journal · 2025Article
- Modeling Intraday Aedes-human exposure dynamics enhances dengue risk prediction.Scientific reports · 2025Article
- Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries.EPJ data science · 2025Article
- Mobile phone data analyses for public health research: a scoping review.Frontiers in public health · 2025Article
- Estimation of internal displacement in Ukraine from satellite-based car detections.Scientific reports · 2024Article
- Call for elimination program of Malaria among children under 5 years old living in refugee camps in eastern Democratic Republic of Congo.New microbes and new infections · 2024Review
- The role of connectivity on malaria dynamics across areas with contrasting control coverage in the Peruvian Amazon.PLoS neglected tropical diseases · 2024Article
- Risk Index of Regional Infection Expansion of COVID-19: Moving Direction Entropy Study Using Mobility Data and Its Application to Tokyo.JMIR public health and surveillance · 2024Article
- Article
- Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases.Science in One Health · 2024Review
46 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Human travel can shape infectious disease dynamics by introducing pathogens into susceptible populations or by changing the frequency of contacts between infected and susceptible individuals. Quantifying infectious disease-relevant travel patterns on fine spatial and temporal scales has historically been limited by data availability. The recent emergence of mobile phone calling data and associated locational information means that we can now trace fine scale movement across large numbers of individuals. However, these data necessarily reflect a biased sample of individuals across communities and are generally aggregated for both ethical and pragmatic reasons that may further obscure the nuance of individual and spatial heterogeneities. Additionally, as a general rule, the mobile phone data are not linked to demographic or social identifiers, or to information about the disease status of individual subscribers (although these may be made available in smaller-scale specific cases). Combining data on human movement from mobile phone data-derived population fluxes with data on disease incidence requires approaches that can tackle varying spatial and temporal resolutions of each data source and generate inference about dynamics on scales relevant to both pathogen biology and human ecology. Here, we review the opportunities and challenges of these novel data streams, illustrating our examples with analyses of 2 different pathogens in Kenya, and conclude by outlining core directions for future research.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.