Exposed compartment jumps significantly in value #30
Description
The possible cause of #24 is this sudden jump in the exposed compartment; in the following table the jump occurs on the Eighth of March.
# A tibble: 10 × 15
Date N S V E I R D newV newE newI newR newD cumE cumI
<date> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2020-03-03 38137 38136 0 0 1 0 0 0 0 0 0 0 0 1
2 2020-03-04 38137 38136 0 0 1 0 0 0 0 0 0 0 0 1
3 2020-03-05 38137 38136 0 0 1 0 0 0 1 0 0 0 1 1
4 2020-03-06 38137 38135 0 1 1 0 0 0 0 0 0 0 1 1
5 2020-03-07 38137 38135 0 1 1 0 0 0 1 0 0 0 2 1
6 2020-03-08 38137 38134 0 2 1 0 0 0 -1 1 0 0 2 2
7 2020-03-09 38137 38134 0 1 2 0 0 0 193 0 0 0 195 2
8 2020-03-10 38137 37940 0 194 2 0 0 0 0 0 0 0 195 2
9 2020-03-11 38137 37940 0 194 2 0 0 0 0 0 0 0 195 2
10 2020-03-12 38137 37940 0 194 2 0 0 NA NA NA NA NA 195 2
SVEIRD.BayesianDataAssimilation(
## Parameters
alpha = 0,
beta = 0.5,
gamma = 0.5,
sigma = 0.001,
delta = 0,
lambda = 18,
## Model runtime
n.days = simulation.days,
## Model data
seedData = lieseed,
neighbourhood.order = 0,
populationSpatRaster = lierast,
subregionsSpatVector = lievect,
aggregationFactor = 0,
startDate = "2020-03-03",
countryCodeISO3C = "LIE",
## Model options
simulationIsDeterministic = TRUE,
dataAssimilationEnabled = FALSE,
callback = callback)