Model of cholera transmission for historic Bengal.
dacca
constructs a pomp object containing census and cholera mortality data from the Dacca district of the former British province of Bengal over the years 1891 to 1940 together with a stochastic differential equation transmission model. The model is that of King et al. (2008). The parameters are the MLE for the SIRS model with seasonal reservoir.
data
dacca( gamma = 20.8, eps = 19.1, rho = 0, delta = 0.02, deltaI = 0.06, clin = 1, alpha = 1, beta_trend = -0.00498, logbeta = c(0.747, 6.38, -3.44, 4.23, 3.33, 4.55), logomega = log(c(0.184, 0.0786, 0.0584, 0.00917, 0.000208, 0.0124)), sd_beta = 3.13, tau = 0.23, S_0 = 0.621, I_0 = 0.378, Y_0 = 0, R1_0 = 0.000843, R2_0 = 0.000972, R3_0 = 1.16e-07 )
gamma
: recovery rateeps
: rate of waning of immunity for severe infectionsrho
: rate of waning of immunity for inapparent infectionsdelta
: baseline mortality ratedeltaI
: cholera mortality rateclin
: fraction of infections that lead to severe infectionalpha
: transmission function exponentbeta_trend
: slope of secular trend in transmissionlogbeta
: seasonal transmission rateslogomega
: seasonal environmental reservoir parameterssd_beta
: environmental noise intensitytau
: measurement error s.d.S_0
: initial susceptible fractionI_0
: initial fraction of population infectedY_0
: initial fraction of the population in the Y classR1_0, R2_0, R3_0
: initial fractions in the respective R classesdacca
returns a pomp object containing the model, data, and MLE parameters, as estimated by King et al. (2008).
Data are provided courtesy of Dr. Menno J. Bouma, London School of Tropical Medicine and Hygiene.
# takes too long for R CMD check po <- dacca() plot(po) ## MLE: coef(po) plot(simulate(po))
A.A. King, E.L. Ionides, M. Pascual, and M.J. Bouma. Inapparent infections and cholera dynamics. Nature 454 , 877-880, 2008. tools:::Rd_expr_doi("10.1038/nature07084") .
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