Quantifying the Impact of Human Mobility on Malaria

Cited by (991)

Items 101–200 of 991

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    Nuria Oliver, Emmanuel Letouzé, Harald Sterly, Sébastien Delataille, Marco De Nadai, Bruno Lepri, Renaud Lambiotte, Richard Benjamins, Ciro Cattuto, Vittoria Colizza et al. · 2020 · arXiv (Cornell University)
  2. Limits of Predictability in Commuting Flows in the Absence of Data for Calibration
    Yingxiang Yang, Carlos Herrera, Nathan Eagle, Marta C. González · 2014 · Scientific Reports
  3. The spatial-temporal dynamics of daily intercity mobility in the Yangtze River Delta: An analysis using big data
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  4. Travel history and malaria infection risk in a low-transmission setting in Ethiopia: a case control study
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  6. Progress and Challenges in Infectious Disease Cartography
    Moritz U. G. Kraemer, Simon Iain Hay, David M. Pigott, David L. Smith, William Wint, Nick Golding · 2015 · Trends in Parasitology
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    Bernard Abong’o, John E. Gimnig, Stephen J. Torr, Bradley Longman, Diana Omoke, Margaret Muchoki, Feiko O. ter Kuile, Eric Ochomo, Stephen Munga, Aaron M. Samuels et al. · 2020 · Scientific Reports
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    David L. Smith, Justin M Cohen, Christinah Chiyaka, Geoffrey L. Johnston, Peter W. Gething, Roly Daniel Gosling, Caroline O. Buckee, Ramanan Laxminarayan, Simon Iain Hay, Andrew J. Tatem · 2013 · Philosophical Transactions of the Royal Society B Biological Sciences
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  10. Measuring mobility to monitor travel and physical distancing interventions: a common framework for mobile phone data analysis
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  11. Pathogeography: leveraging the biogeography of human infectious diseases for global health management
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  12. The Use of Census Migration Data to Approximate Human Movement Patterns across Temporal Scales
    Amy Wesolowski, Caroline O. Buckee, Deepa K. Pindolia, Nathan Eagle, David L. Smith, Andres J. Garcia, Andrew J. Tatem · 2013 · PLoS ONE
  13. Mapping population and pathogen movements
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  14. Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine
    Lai, Shengjie, Farnham, Andrea, Ruktanonchai, Nick W, Tatem, Andrew J · 2019 · Journal of Travel Medicine
  15. Inferring human mobility using communication patterns
    Vasyl Palchykov, Marija Mitrović Dankulov, Hang-Hyun Jo, Jari Saramäki, Raj Kumar Pan · 2014 · Scientific Reports
  16. Exploring the use of mobile phone data for national migration statistics
    Shengjie Lai, Elisabeth zu Erbach-Schoenberg, Carla Pezzulo, Nick Ruktanonchai, Alessandro Sorichetta, Jessica E. Steele, Tracey Li, Claire Dooley, Andrew J. Tatem · 2019 · Humanities and Social Sciences Communications
  17. Malaria Hotspots: Is There Epidemiological Evidence for Fine-Scale Spatial Targeting of Interventions?
    Gillian H. Stresman, Teun Bousema, Jackie A Cook · 2019 · Trends in Parasitology
  18. A comparative analysis of intra-city human mobility by taxi
    Wenjun Wang, Lin Pan, Ning Yuan, Sen Zhang, Dong Liu · 2014 · Physica A Statistical Mechanics and its Applications
  19. Malaria Elimination and Eradication
    Rima Shretta, Jenny X. Liu, Chris Cotter, Justin M Cohen, Charlotte Dolenz, Kudzai Makomva, Gretchen Newby, Didier Ménard, Allison A. Phillips, Allison Tatarsky et al. · 2017 · World Bank, Washington, DC eBooks
  20. Use cases for genetic epidemiology in malaria elimination
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  21. Predicting the direct and indirect impacts of climate change on malaria in coastal Kenya
    Phong V. V. Le, Praveen Kumar, Marilyn O. Ruiz, Charles N. M. Mbogo, Ephantus J. Muturi · 2019 · PLoS ONE
  22. Interplay between population density and mobility in determining the spread of epidemics in cities
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  23. Assessing the interplay between human mobility and mosquito borne diseases in urban environments
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  25. Modeling internal migration flows in sub-Saharan Africa using census microdata
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  26. Progress and challenges in virus genomic epidemiology
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  27. Characterizing Types of Human Mobility to Inform Differential and Targeted Malaria Elimination Strategies in Northeast Cambodia
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  30. Health services uptake among nomadic pastoralist populations in Africa: A systematic review of the literature
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  31. Forecasting influenza activity using machine-learned mobility map
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  32. Evaluating Spatial Interaction Models for Regional Mobility in Sub-Saharan Africa
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  33. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic
    Patty Kostkova, Francesc Saigí-Rubió, Hans A. Eguia, Damian A. Borbolla, Marieke Verschuuren, Clayton Hamilton, Natasha Azzopardi Muscat, David Novillo-Ortiz · 2021 · Frontiers in Digital Health
  34. Once Upon a Crime: Towards Crime Prediction from Demographics and Mobile Data
    Bogomolov, Andrey, Bruno Lepri, Jacopo Staiano, Nuria Oliver, Fabio Pianesi, Alex Pentland · 2014 · arXiv (Cornell University)
  35. Predicting human mobility through the assimilation of social media traces into mobility models
    Mariano G. Beiró, André Panisson, Michele Tizzoni, Ciro Cattuto · 2016 · EPJ Data Science
  36. Human mobility data and analysis for urban resilience: A systematic review
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  37. Beyond mobile populations: a critical review of the literature on malaria and population mobility and suggestions for future directions
    Catherine Parsons Smith, Maxine Anne Whittaker · 2014 · Malaria Journal
  38. The demographics of human and malaria movement and migration patterns in East Africa
    Deepa K. Pindolia, Andrés J. García, Zhuojie Huang, David L. Smith, Victor A. Alegana, Abdisalan Mohamed Noor, Robert William Snow, Andrew J. Tatem · 2013 · Malaria Journal
  39. Spatially targeted screening to reduce tuberculosis transmission in high-incidence settings
    Patrick Cudahy, Jason Randolph Andrews, Alyssa Bilinski, David W. Dowdy, Barun Mathema, Nicolas A. Menzies, Joshua A. Salomon, Sourya Shrestha, Ted Cohen · 2018 · The Lancet Infectious Diseases
  40. Limits of Predictability in Commuting Flows in the Absence of Data for Calibration
    Yingxiang Yang, Herrera-Yague, Carlos, Nathan Eagle, Marta C. González · 2014 · DSpace@MIT (Massachusetts Institute of Technology)
  41. Malaria in Southern Venezuela: The hottest hotspot in Latin America
    María Eugenia Grillet, Jorge E. Moreno, Juan V Hernández-Villena, Maria Fernanda Vincenti-Gonzalez, Óscar Noya, Adriana Tami, Alberto Paniz‐Mondolfi, Martin Stephen Llewellyn, Rachel Lowe, Ananías A. Escalante et al. · 2021 · PLoS neglected tropical diseases
  42. COVID-19 is spatial: Ensuring that mobile Big Data is used for social good
    Age Poom, Olle Järv, Matthew Zook, Tuuli Toivonen · 2020 · Big Data & Society
  43. Flooding through the lens of mobile phone activity
    David Pastor-Escuredo, Alfredo J. Morales, Yolanda Torres, Jean-Martin Bauer, Amit Wadhwa, Carlos Castro-Correa, Liudmyla Romanoff, Jong Gun Lee, Alex Rutherford, Vanessa Frías-Martínez et al. · 2014 · IEEE Global Humanitarian Technology Conference (GHTC)
  44. Human mobility and the infectious disease transmission: a systematic review
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  45. Serological markers for monitoring historical changes in malaria transmission intensity in a highly endemic region of Western Kenya, 1994–2009
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  46. Risk Factors for Infectious Diseases in Urban Environments of Sub-Saharan Africa: A Systematic Review and Critical Appraisal of Evidence
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  47. Big-data-driven modeling unveils country-wide drivers of endemic schistosomiasis
    Lorenzo Mari, Marino Gatto, Manuela Ciddio, Elhadji D. Dia, Susanne H. Sokolow, Giulio A. De Leo, Renato Casagrandi · 2017 · Scientific Reports
  48. Mobility in China, 2020: a tale of four phases
    Suoyi Tan, Shengjie Lai, Fan Fang, Ziqiang Cao, Bin Sai, Bing Song, Bitao Dai, Shuhui Guo, Chuchu Liu, Mengsi Cai et al. · 2021 · National Science Review
  49. A Generalized Radiation Model for Human Mobility: Spatial Scale, Searching Direction and Trip Constraint
    Chaogui Kang, Yu Liu, Diansheng Guo, Kun Qin · 2015 · PLoS ONE
  50. Cell Phones ≠ Self and Other Problems with Big Data Detection and Containment during Epidemics
    Susan L. Erikson · 2018 · Medical Anthropology Quarterly
  51. COVID-19 is linked to changes in the time–space dimension of human mobility
    Clodomir Santana, Federico Botta, Hugo Barbosa, Filippo Privitera, Ronaldo Parente de Menezes, Riccardo Di Clemente · 2023 · Nature Human Behaviour
  52. Global malaria connectivity through air travel
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  53. Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models
    Cecilia Panigutti, Michele Tizzoni, Paolo Bajardi, Zbigniew Smoreda, Vittoria Colizza A · 2017 · Royal Society Open Science
  54. Inferring social influence in transport mode choice using mobile phone data
    Santi Phithakkitnukoon, Titipat Sukhvibul, Merkebe Getachew Demissie, Zbigniew Smoreda, Juggapong Natwichai, Carlos L. Bento · 2017 · EPJ Data Science
  55. Describing the current status of Plasmodium falciparum population structure and drug resistance within mainland Tanzania using molecular inversion probes
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  56. The ethics of big data as a public good: which public? Whose good?
    Linnet Taylor · 2016 · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
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  60. Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation
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  62. Urban spatiotemporal analysis using mobile phone data: Case study of medium- and large-sized Korean cities
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  63. Digital Health Solutions for Mental Health Disorders During COVID-19
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  65. COVID-19 and social distancing: Disparities in mobility adaptation between income groups
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  74. Falciparum malaria from coastal Tanzania and Zanzibar remains highly connected despite effective control efforts on the archipelago
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