## parameter list created by Sheetal
MM_SheetalPars <- function(){
N <- 24
g6pDd <- rep(0.143,N)
# ************************************************************************************* #
# Set the parameters (vivax-specific parameters prefixed with v)
# ************************************************************************************* #
return(list(
# Common parameters to both species
Pmaxv=40000*seq_len(N)/seq_len(N), # the maximum populations of mosquitoes in each patch
Pmaxf=40000*seq_len(N)/seq_len(N), # the maximum populations of mosquitoes in each patch
amp=rep(1,N), # amplitude of seasonal forcing
phi=rep(0.75,N), # phase angle of seasonal forcing
indexhet=rep(0.5,N), # parameter for connectivity about 1
propgd=g6pDd, #Proportion of patch that is G6PDdef
delta_m=365.25/14, # death rate of mosquitoes
bites=365.25/3, # biting rate
prob_h=0.5, # probability that a bite will result in infection (mosquito to human)
demog=1/50, # birth/death rate (mu)
eff_itn=0.15, #efficacy of bednets
stableveff=0.4, # steady state of vmw_effective
hl_net=1.5, # half-life of bednets
eff_vmw=0.6, # efficacy of VMW
eff_his=0.25, # efficacy of HIS
eff_oth=0.1, # efficacy of other systems
elneff=21, # smoothing effect of el nino patterns.
pgd=0.3, #probability of clinical if G6PDdef
sensgd=0.97, #Sensitivity of test to detect G6PDdef
mask=0.05, #probability of vivax mix cases masked as falciparum
# Humans
#falciparum parameters
gamma_m=365.25/10, # latent period
prob_m=0.5, # probability that a bite will result in infection (human to mosquito)
ps=0.9, # probability of clinical if non-immune
psn=0.1, # probability of sub-patent given not clin, non-immune
pr=0.1, # probability of clinical if immune
prn=0.5, # probability of sub-patent given not clin, immune
nuc=365.25/10, # recovery from clinical symptoms untreated (r_c)
nua=365.25/130, # recovery from asym untreated (r_a)
nus=365.25/5, # recovery from severe (r_s)
psev=0.03, # probability of severe disease given clinical
pmort=0.2, # proportional of all untreated severe cases that die (theta1)
pmortt=0.15, # proportional of all treated severe cases that die (theta2)
rep_fat=0.6, # proportion of fatalities reported
tausev=0.8, # probability that a severe infection is treated
gamma_h=365.25/21, # latent period in humans
zeta_a=12.6/27, # relative infectiousness of asym to clinical
zeta_n=3.9/27, # relative infectiousness of submicro to clinical
chi=365.25/28, # rate of loss of detectable HRP2 by RDT
# this will change if the RDT detection limit changes chi=chi_old*(mn_c-dl_RDTold)/(mn_c-dl_RDTnew)
omega=1, # loss of immunity
#control
nut=365.25/3, # recovery rate under treatment (r_t)
nuq=365.25/6, # recovery rate under quinine treatment (r_q)
ptf=0.05, #Probability of treatment failure
ptfc=0.75, # Probability of being clinical after treatment failure
ptftr=0.27, #Probability of seeking trt if clinical, after treatment failure
# diagnostics
dl_RDT=log10(200), # standard RDT detection limit
dl_micro=log10(100), # micro detection limit
dl_qPCR=log10(2), # standard PCR detection limit
# dl_inf=log10(26), # detection limit for infectiousness
mn_n=log10(5), # mean parasiteamia for sub micro
mn_a=log10(1000), # mean parasiteamia for asym
mn_c=log10(25000), # mean parasiteamia for clinical
mn_s=log10(350000), # mean parasiteamia for severe
sd_n=0.75, # sd parasiteamia for sub micro
sd_a=1.5, # sd parasiteamia for asym
sd_c=1.3, # sd parasiteamia for clinical
sd_s=0.26, # sd parasiteamia for severe
#vivax parameters
vgamma_m=365.25/12, # latent period
vprob_h=0.23, # probability that a bite will result in infection (human to mosquito)
vps=0.9, # probability of clinical if non-immune
vpsn=0.1, # probability of sub-patent given not clin, non-immune
vpr=0.1, # probability of clinical if immune
vprn=0.17, # probability of sub-patent given not clin, immune
vnuc=365.25/20, # recovery from clinical symptoms untreated (r_c)
vnua=365.25/365.25, # recovery from asym untreated (r_a)
vnus=365.25/3, # recovery from severe (r_s)
vpsev=0.03, # probability of severe disease given clinical
vpmort=0.2, # proportional of all untreated severe cases that die (theta)
vpmortt=0.02, # proportional of all treated severe cases that die (theta)
vtausev=0.8, # probability that a severe infection is treated
vgamma_h=365.25/17, # latent period in humans
vzeta_a=1, # relative infectiousness of asym to clinical
vzeta_n=1, # relative infectiousness of submicro to clinical
vomega=1, # loss of immunity
vprel=0.25, # probability of relapse
vincprel=0.30, #Probabily of relapse due to triggering
vrel=365.25/100, # rate of relapse
vph=0.68 , # probability of recovering with hypnozoites under ACT
vphprim=0.13, # probability of recovering with hypnozoites under primaquine
vkappa=365.25/400 , # hypnozoite death rate
vnut=365.25/3, # recovery rate under treatment (r_t)
vnuq=365.25/6, # recovery rate under quinine treatment (r_q)
vnup=365/14, # recovery rate under primaquine
vptf=0.05, #Probability of treatment failure on FLT
vptfp=1-(0.9*0.85), #Probability of treatment failure on Primaquine( clinical failure and adherance)
vptfc=0.5, # Probability of being clinical after treatment failure
vptftr=0.27, #Probability of seeking trt if clinical, after treatment failure
vdl_RDT=log10(200), # standard RDT detection limit
vdl_micro=log10(100), # micro detection limit
vdl_qPCR=log10(2), # standard PCR detection limit
vmn_n=log10(5), # mean parasiteamia for sub micro
vmn_a=log10(750), # mean parasiteamia for asym
vmn_c=log10(5000), # mean parasiteamia for clinical
vmn_s=log10(20000), # mean parasiteamia for severe
vsd_n=0.75, # sd parasiteamia for sub micro
vsd_a=1.5, # sd parasiteamia for asym
vsd_c=1.3, # sd parasiteamia for clinical
vsd_s=log10(9900), # sd parasiteamia for severe
t1=1, # Entanglement 1 - dual treatment switch
t2=1 # Entanglement 2 - triggering relapse from Pf infection switch
))
}
# ## temporary function for creating all parameters needed by Sheetal code
# MM_Init<-function(parmal=NULL, maldata=NULL,climatedata=NULL){
# if(is.null(maldata) && is.null(climatedata) && is.null(parmal)){
# fpath <- system.file("extdata", "init.R", package="MEEM")
# cat("Creating some parameters required by MEEM...\n")
# source(fpath)
# }
#
# if(!is.null(maldata) && !is.null(climatedata) && !is.null(parmal)){
# return(MM_Inputs(parmal, maldata = maldata, climatedata = climatedata))
# }
# }
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