Journal article

Utilizing general human movement models to predict the spread of emerging infectious diseases in resource poor settings

MUG Kraemer, N Golding, D Bisanzio, S Bhatt, DM Pigott, SE Ray, OJ Brady, JS Brownstein, NR Faria, DAT Cummings, OG Pybus, DL Smith, AJ Tatem, SI Hay, RC Reiner

Scientific Reports | NATURE PUBLISHING GROUP | Published : 2019

University of Melbourne Researchers

Grants

Awarded by National Institute of Child Health and Human Development


Awarded by National Library of Medicine of the National Institutes of Health


Awarded by Bill & Melinda Gates Foundation


Awarded by Discovery Early Career Researcher Award from the Australian Research Council


Awarded by NIH/National Institute of Allergy and Infectious Diseases


Awarded by Wellcome Trust Sustaining Health


Awarded by US NIH MIDAS program


Awarded by Sir Henry Wellcome Fellowship - Wellcome Trust


Funding Acknowledgements

MUGK is funded by the Research for Health in Humanitarian Crises (R2HC) programme managed by ELRHA (to SIH). The R2HC programme is funded equally by the Wellcome Trust and the Department of International Development (DFID). MUGK is also supported by The Branco Weiss Fellowship -Society in Science, administered by the ETH Zurich and acknowledges funding from a Training Grant from the National Institute of Child Health and Human Development (T32HD040128) and the National Library of Medicine of the National Institutes of Health (R01LM010812, R01LM011965). NG, DB and DMP received funding from the Bill & Melinda Gates Foundation (#OPP10937011, #OPP1068048). NG was supported by a Discovery Early Career Researcher Award from the Australian Research Council (DE180100635). DLS and AJT are funded by the NIH/National Institute of Allergy and Infectious Diseases (#U10AI089674), and the Bill & Melinda Gates Foundation (AJT #OPP1106427, #1032350, DLS #OPP1110495). AJT is also supported by a Wellcome Trust Sustaining Health Grant (#10688/Z/15/Z). SIH is funded by a Senior Research Fellowship from the Wellcome Trust (#095066), and grants from the Bill & Melinda Gates Foundation (#OPP1119467, #OPP1093011, #OPP1106023 and #OPP1132415). DLS, AJT, SIH and RCR also acknowledge funding support from the RAPIDD programme of the Science & Technology Directorate, Department of Homeland Security, and the Fogarty International Center (FIC), National Institutes of Health (NIH). D.A.T.C. was supported by US NIH MIDAS program (U54-GM088491). OJB was funded by a Sir Henry Wellcome Fellowship funded by the Wellcome Trust (grant number 206471/Z/17/Z). This research received funding from the Oxford Martin School. Funding: Wellcome Trust.