get_net_decay.RdThis function can be
used to calculate LLIN survival and holed area using parameters from
the AnophelesModel database for a given net type and country.
To list all available net types and corresponding countries,
use the function get_net_types().
get_net_decay(net_type, country, insecticide_type, n_ips, duration)type of the LLIN
selected country of interest for which the net_type exists
type of insecticide
number of time points to consider throughout the duration
considered time of the intervention, default is 3 years
The function returns an object with the following attributes:
time: time point
insecticideContent: insecticide content of the net
logHoles: log holed area of the net
survival: survival of the net
net_surv = get_net_decay(net_type = "DuraNet",
country = "Kenya", insecticide_type = "Default", n_ips = 100, duration = 3)
#> Warning: some 'x' values beyond boundary knots may cause ill-conditioned bases
#> Warning: some 'x' values beyond boundary knots may cause ill-conditioned bases
print(net_surv)
#> time logHoles insecticideContent survival
#> 1 0.00 0.6400439 54.62009 0.9994975
#> 2 0.03 0.6679434 53.86812 0.9994426
#> 3 0.06 0.6960037 53.12650 0.9993829
#> 4 0.09 0.7241789 52.39509 0.9993180
#> 5 0.12 0.7524244 51.67375 0.9992476
#> 6 0.15 0.7806971 50.96234 0.9991715
#> 7 0.18 0.8089559 50.26073 0.9990892
#> 8 0.21 0.8371613 49.56878 0.9990006
#> 9 0.24 0.8652759 48.88635 0.9989052
#> 10 0.27 0.8932645 48.21331 0.9988027
#> 11 0.30 0.9210939 47.54955 0.9986928
#> 12 0.33 0.9487331 46.89492 0.9985751
#> 13 0.36 0.9761534 46.24930 0.9984495
#> 14 0.39 1.0033282 45.61258 0.9983154
#> 15 0.42 1.0302331 44.98461 0.9981727
#> 16 0.45 1.0568459 44.36530 0.9980209
#> 17 0.48 1.0831465 43.75451 0.9978599
#> 18 0.51 1.1091168 43.15213 0.9976894
#> 19 0.54 1.1347407 42.55804 0.9975090
#> 20 0.57 1.1600043 41.97213 0.9973185
#> 21 0.60 1.1848951 41.39429 0.9971176
#> 22 0.63 1.2094029 40.82440 0.9969062
#> 23 0.66 1.2335189 40.26236 0.9966840
#> 24 0.69 1.2572360 39.70805 0.9964508
#> 25 0.72 1.2805489 39.16138 0.9962064
#> 26 0.75 1.3034534 38.62223 0.9959507
#> 27 0.78 1.3259472 38.09051 0.9956836
#> 28 0.81 1.3480290 37.56611 0.9954049
#> 29 0.84 1.3696990 37.04892 0.9951146
#> 30 0.87 1.3909584 36.53886 0.9948125
#> 31 0.90 1.4118098 36.03582 0.9944987
#> 32 0.93 1.4322566 35.53970 0.9941730
#> 33 0.96 1.4523036 35.05042 0.9938356
#> 34 0.99 1.4719562 34.56787 0.9934864
#> 35 1.02 1.4912209 34.09196 0.9931254
#> 36 1.05 1.5101050 33.62261 0.9927529
#> 37 1.08 1.5286167 33.15972 0.9923687
#> 38 1.11 1.5467648 32.70320 0.9919730
#> 39 1.14 1.5645589 32.25296 0.9915660
#> 40 1.17 1.5820093 31.80893 0.9911479
#> 41 1.20 1.5991268 31.37100 0.9907187
#> 42 1.23 1.6159230 30.93911 0.9902786
#> 43 1.26 1.6324098 30.51316 0.9898279
#> 44 1.29 1.6485998 30.09308 0.9893667
#> 45 1.32 1.6645060 29.67878 0.9888953
#> 46 1.35 1.6801420 29.27018 0.9884139
#> 47 1.38 1.6955216 28.86721 0.9879227
#> 48 1.41 1.7106592 28.46979 0.9874220
#> 49 1.44 1.7255694 28.07783 0.9869120
#> 50 1.47 1.7402674 27.69128 0.9863930
#> 51 1.50 1.7547685 27.31004 0.9858652
#> 52 1.53 1.7690886 26.93406 0.9853289
#> 53 1.56 1.7832435 26.56325 0.9847843
#> 54 1.59 1.7972497 26.19754 0.9842317
#> 55 1.62 1.8111236 25.83688 0.9836713
#> 56 1.65 1.8248822 25.48117 0.9831033
#> 57 1.68 1.8385426 25.13036 0.9825279
#> 58 1.71 1.8521220 24.78439 0.9819454
#> 59 1.74 1.8656379 24.44317 0.9813559
#> 60 1.77 1.8791083 24.10666 0.9807596
#> 61 1.80 1.8925509 23.77477 0.9801567
#> 62 1.83 1.9059840 23.44746 0.9795472
#> 63 1.86 1.9194258 23.12465 0.9789312
#> 64 1.89 1.9328950 22.80629 0.9783089
#> 65 1.92 1.9464102 22.49231 0.9776804
#> 66 1.95 1.9599903 22.18265 0.9770455
#> 67 1.98 1.9736544 21.87725 0.9764044
#> 68 2.01 1.9874216 21.57606 0.9757570
#> 69 2.04 2.0013114 21.27902 0.9751032
#> 70 2.07 2.0153433 20.98606 0.9744430
#> 71 2.10 2.0295369 20.69714 0.9737761
#> 72 2.13 2.0439122 20.41220 0.9731024
#> 73 2.16 2.0584892 20.13118 0.9724217
#> 74 2.19 2.0732879 19.85403 0.9717338
#> 75 2.22 2.0883288 19.58069 0.9710383
#> 76 2.25 2.1036323 19.31112 0.9703349
#> 77 2.28 2.1192191 19.04526 0.9696233
#> 78 2.31 2.1351098 18.78305 0.9689029
#> 79 2.34 2.1513256 18.52446 0.9681733
#> 80 2.37 2.1678874 18.26943 0.9674340
#> 81 2.40 2.1848166 18.01791 0.9666843
#> 82 2.43 2.2021344 17.76985 0.9659237
#> 83 2.46 2.2198626 17.52521 0.9651515
#> 84 2.49 2.2380227 17.28393 0.9643668
#> 85 2.52 2.2566368 17.04598 0.9635689
#> 86 2.55 2.2757267 16.81130 0.9627569
#> 87 2.58 2.2953148 16.57986 0.9619298
#> 88 2.61 2.3154232 16.35160 0.9610866
#> 89 2.64 2.3360746 16.12648 0.9602263
#> 90 2.67 2.3572915 15.90446 0.9593476
#> 91 2.70 2.3790968 15.68550 0.9584494
#> 92 2.73 2.4015133 15.46955 0.9575302
#> 93 2.76 2.4245642 15.25658 0.9565887
#> 94 2.79 2.4482726 15.04654 0.9556234
#> 95 2.82 2.4726619 14.83939 0.9546326
#> 96 2.85 2.4977556 14.63509 0.9536146
#> 97 2.88 2.5235772 14.43360 0.9525677
#> 98 2.91 2.5501506 14.23489 0.9514897
#> 99 2.94 2.5774995 14.03892 0.9503788
#> 100 2.97 2.6056479 13.84564 0.9492326