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Perfect counterfactuals for epidemic simulations

Published on Jul 8, 2019in Philosophical Transactions of the Royal Society B6.14
· DOI :10.1098/rstb.2018.0279
Joshua Kaminsky1
Estimated H-index: 1
(Johns Hopkins University),
Lindsay T. Keegan3
Estimated H-index: 3
(Johns Hopkins University)
+ 1 AuthorsJustin Lessler38
Estimated H-index: 38
(Johns Hopkins University)
Abstract
Simulation studies are often used to predict the expected impact of control measures in infectious disease outbreaks. Typically, two independent sets of simulations are conducted, one with the inte...
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  • Citations (2)
References29
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#1Stacey A. Elmore (USDA: United States Department of Agriculture)H-Index: 10
#2Richard B. Chipman (USDA: United States Department of Agriculture)H-Index: 11
Last.Amy T. Gilbert (USDA: United States Department of Agriculture)H-Index: 15
view all 6 authors...
#1Justin Lessler (Johns Hopkins University)H-Index: 38
#2C. Jessica E. Metcalf (Princeton University)H-Index: 25
Last.Bryan T. Grenfell (Princeton University)H-Index: 78
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#1Hans Heesterbeek (UU: Utrecht University)H-Index: 23
#2R. M. Anderson (Imperial College London)H-Index: 96
Last.Cécile Viboud (John E. Fogarty International Center)H-Index: 14
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#1Joseph Dureau (LSE: London School of Economics and Political Science)H-Index: 4
#2Konstantinos Kalogeropoulos (LSE: London School of Economics and Political Science)H-Index: 5
Last.Marc Baguelin (Lond: University of London)H-Index: 18
view all 3 authors...
#1John W. Hargrove (Stellenbosch University)H-Index: 34
#2Rachid Ouifki (Stellenbosch University)H-Index: 10
Last.Stephen J. Torr (University of Greenwich)H-Index: 30
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