ArticleNature communications2017
Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
54 citing papers in PubMed.
- Spreading potential in disease relevant networks: Predicting centralities in rural Northeast Madagascar.PLOS global public health · 2026Article
- ModelingInfectious Disease Modelling · 2025Article
- Urban contact patterns shape respiratory syncytial virus epidemics with implications for vaccination.Science advances · 2025Article
- Identifying malaria elimination strategies in the presence of human movement in Bangladesh.Communications medicine · 2025Article
- Molecular Epidemiology of Mycobacterium tuberculosis Across 3 Distinct Geographic Sites in South Africa.The Journal of infectious diseases · 2025Article
- The effective intervening opportunity model for seasonal human mobility.Innovation (Cambridge (Mass.)) · 2025Article
- Highway paving increased dengue transmission in the Peruvian Amazon.medRxiv : the preprint server for health sciences · 2025Article
- Innovative timing strategies for tuberculosis household contact investigation: cost-effectiveness analysis from a randomized trial in rural and urban South Africa (Kharituwe Study).EClinicalMedicine · 2025Article
- Use of cell phone data to correct Île-de-France population estimates and SARS-CoV-2 incidence, July to September, 2021: a proof-of-concept exercise.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- Mapping seasonal human mobility across Africa using mobile phone location history and geospatial data.Research square · 2025Article
- Bias in mobility datasets drives divergence in modeled outbreak dynamics.Communications medicine · 2025Article
- Seroprevalence of Zika virus and dengue virus infections in migrants in Italy.Frontiers in cellular and infection microbiology · 2025Article
- Rapid human movement and dengue transmission in Bangladesh: a spatial and temporal analysis based on different policy measures of COVID-19 pandemic and Eid festival.Infectious diseases of poverty · 2024Article
- Assessing internal displacement patterns in Ukraine during the beginning of the Russian invasion in 2022.Scientific reports · 2024Article
- Article
- Disparities in mobile phone ownership reflect inequities in access to healthcare.PLOS digital health · 2023Article
- Mobility and HIV care engagement: a research agenda.Journal of the International AIDS Society · 2023Review
- Climate and socio-economic factors drive the spatio-temporal dynamics of HFRS in Northeastern China.One health (Amsterdam, Netherlands) · 2022Article
- Article
- Risk of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Transmission Among Air Passengers in China.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Seasonal variation in human mobility is globally ubiquitous and affects the spatial spread of infectious diseases, but the ability to measure seasonality in human movement has been limited by data availability. Here, we use mobile phone data to quantify seasonal travel and directional asymmetries in Kenya, Namibia, and Pakistan, across a spectrum from rural nomadic populations to highly urbanized communities. We then model how the geographic spread of several acute pathogens with varying life histories could depend on country-wide connectivity fluctuations through the year. In all three countries, major national holidays are associated with shifts in the scope of travel. Within this broader pattern, the relative importance of particular routes also fluctuates over the course of the year, with increased travel from rural to urban communities after national holidays, for example. These changes in travel impact how fast communities are likely to be reached by an introduced pathogen.
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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.