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Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data
2015
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Proceedings of the National Academy of Sciences - PNAS, 2020-09, Vol.117 (36), p.22572-22579
2020
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Nature communications, 2018-09, Vol.9 (1), p.3897-8, Article 3897
2018
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The Journal of infectious diseases, 2016-12, Vol.214 (suppl_4), p.S414-S420
2016
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Proceedings of the Royal Society. B, Biological sciences, 2010-10, Vol.277 (1697), p.3055
2010
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Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics
2017
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Journal of the Royal Society interface, 2015-01, Vol.12 (102), p.20141125
2015
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Trends in microbiology (Regular ed.), 2020-08, Vol.28 (8), p.597-600
2020
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Science (American Association for the Advancement of Science), 2011-08, Vol.333 (6045), p.984-988
2011
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Journal of the Royal Society interface, 2011-03, Vol.8 (56), p.369
2011
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Trends in immunology, 2015-12, Vol.36 (12), p.753-755
2015
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Journal of evolutionary biology, 2015-02, Vol.28 (2), p.493-502
2015
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Journal of the Royal Society interface, 2013-01, Vol.10 (78), p.20120756
2013
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Proceedings of the National Academy of Sciences - PNAS, 2008-07, Vol.105 (30), p.10466-10470
2008
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Vaccine, 2020-01, Vol.38 (5), p.979-992
2020
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Vaccine, 2019-04, Vol.37 (18), p.2511-2519
2019
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Vaccine, 2017-03, Vol.35 (11), p.1488-1493
2017
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Epidemiology and infection, 2022-01, Vol.150, p.e39-e39, Article e39
2022
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Parasitology, 2021-08, Vol.148 (9), p.1030-1039
2021
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Epidemiology and infection, 2017-02, Vol.145 (3), p.607-625
2017
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Environmental microbiology reports, 2016-10, Vol.8 (5), p.649-658
2016
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Biological invasions, 2008-08, Vol.10 (6), p.833-846
2008
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Epidemics, 2015-03, Vol.10 (C), p.93-96
2015
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Epidemics, 2022-12, Vol.41, p.100647-100647, Article 100647
2022
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Epidemiology and infection, 2015-05, Vol.143 (7), p.1457-1466
2015
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