L
Linus Bengtsson
Researcher at Karolinska Institutet
Publications - 48
Citations - 4103
Linus Bengtsson is an academic researcher from Karolinska Institutet. The author has contributed to research in topics: Population & Mobile phone. The author has an hindex of 22, co-authored 46 publications receiving 3144 citations. Previous affiliations of Linus Bengtsson include World Bank & University of Southampton.
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Journal ArticleDOI
Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus.
Moritz U. G. Kraemer,Moritz U. G. Kraemer,Moritz U. G. Kraemer,Robert C. Reiner,Oliver J. Brady,Jane P. Messina,Marius Gilbert,David M. Pigott,Dingdong Yi,Kimberly J. Johnson,Lucas Earl,Laurie B. Marczak,Shreya Shirude,Nicole Davis Weaver,Donal Bisanzio,Donal Bisanzio,T. Alex Perkins,Shengjie Lai,Shengjie Lai,Xin Lu,Xin Lu,Xin Lu,Peter A. Jones,Giovanini E. Coelho,Roberta G. Carvalho,Wim Van Bortel,Wim Van Bortel,Cedric Marsboom,Guy Hendrickx,Francis Schaffner,Chester G. Moore,Heinrich H. Nax,Linus Bengtsson,Erik Wetter,Andrew J. Tatem,John S. Brownstein,John S. Brownstein,David L. Smith,Louis Lambrechts,Simon Cauchemez,Catherine Linard,Catherine Linard,Nuno R. Faria,Oliver G. Pybus,Thomas W. Scott,Qiyong Liu,Hongjie Yu,G. R. William Wint,Simon I. Hay,Nick Golding +49 more
TL;DR: It is shown that human movement patterns explain the spread of both Aedes aegypti and Aedes albopictus in Europe and the United States following their introduction and predicted the future distributions of both species in response to accelerating urbanization, connectivity and climate change.
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Predictability of population displacement after the 2010 Haiti earthquake
TL;DR: Analysis of the movements of 1.9 million mobile phone users in Haiti and the destinations of people who left the capital during the first three weeks after the earthquake suggest that population movements during disasters may be significantly more predictable than previously thought.
Journal ArticleDOI
Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: a post-earthquake geospatial study in Haiti.
TL;DR: This work examines the use of mobile phone positioning data to monitor population movements during disasters and outbreaks, finding that reports on population movements can be generated within twelve hours of receiving data.
Journal ArticleDOI
Approaching the Limit of Predictability in Human Mobility
TL;DR: The findings indicate that human mobility is highly dependent on historical behaviors, and that the maximum predictability is not only a fundamental theoretical limit for potential predictive power, but also an approachable target for actual prediction accuracy.
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Using mobile phone data to predict the spatial spread of cholera.
Linus Bengtsson,Jean Gaudart,Xin Lu,Xin Lu,Sandra Moore,Erik Wetter,Kankoe Sallah,Stanislas Rebaudet,Renaud Piarroux +8 more
TL;DR: Mobile operator data is a highly promising data source for improving preparedness and response efforts during cholera outbreaks, and may be particularly important for containment efforts of emerging infectious diseases, including high-mortality influenza strains.