Bull Math Biol (2019) 81:4343–4365
https://doi.org/10.1007/s11538-017-0284-3
SPECIAL ISSUE: MATHEMATICAL EPIDEMIOLOGY
Forecasting Epidemics Through Nonparametric
Estimation of Time-Dependent Transmission Rates
Using the SEIR Model
Alexandra Smirnova
1
· Linda deCamp
1
·
Gerardo Chowell
2
Received: 7 February 2017 / Accepted: 12 April 2017 / Published online: 2 May 2017
© Society for Mathematical Biology 2017
Abstract Deterministic and stochastic methods relying on early case incidence data
for forecasting epidemic outbreaks have received increasing attention during the last
few years. In mathematical terms, epidemic forecasting is an ill-posed problem due to
instability of parameter identification and limited available data. While previous stud-
ies have largely estimated the time-dependent transmission rate by assuming specific
functional forms (e.g., exponential decay) that depend on a few parameters, here we
introduce a novel approach for the reconstruction of nonparametric time-dependent
transmission rates by projecting onto a finite subspace spanned by Legendre polyno-
mials. This approach enables us to effectively forecast future incidence cases, the clear
advantage over recovering the transmission rate at finitely many grid points within the
interval where the data are currently available. In our approach, we compare three
regularization algorithms: variational (Tikhonov’s) regularization, truncated singular
value decomposition (TSVD), and modified TSVD in order to determine the stabiliz-
ing strategy that is most effective in terms of reliability of forecasting from limited
data. We illustrate our methodology using simulated data as well as case incidence
data for various epidemics including the 1918 influenza pandemic in San Francisco
and the 2014–2015 Ebola epidemic in West Africa.
B Alexandra Smirnova
asmirnova@gsu.edu
Linda deCamp
ldecamp1@student.gsu.edu
Gerardo Chowell
gchowell@gsu.edu
1
Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA
2
School of Public Health, Georgia State University, Atlanta, GA, USA
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