LauEtAl2017 specifications

Information


Unique identifier OMICS_23497
Name LauEtAl2017
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages R
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

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Publication for LauEtAl2017

LauEtAl2017 institution(s)
Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Maxwell Institute for Mathematical Sciences, Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Edinburgh, Scotland, UK; Department of Plant Sciences, University of Cambridge, Cambridge, UK; International Federation of Red Cross and Red Crescent Societies, Geneva, Switzerland; MRC Centre for Outbreak Analysis and Modelling, Department Infectious Disease Epidemiology, Imperial College, London, UK; School of Public Health, University of Michigan, Ann Arbor, MI, USA; Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK; Department of Integrative Biology, Oregon State University, Corvallis, OR, USA; Department of Mathematics, Oregon State University, Corvallis, OR, USA
LauEtAl2017 funding source(s)
Supported by the Bill & Melinda Gates Foundation (OPP1091919), the RAPIDD programme of the Science and Technology Directorate Department of Homeland Security and the Fogarty International Centre, National Institutes of Health (NIH), and UK Medical Research Council (MRC), the European Food Safety Authority under contract OC/EFSA/ AHAW/2013/01 - CT01 and a MRC Career Award in Biostatistics (MR/ K021680/1).

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