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preUK_R0=2.0.txt
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[Output every realisation]
1
[Output bitmap]
0
[OutputAge]
1
[OutputSeverityAdminUnit]
1
[OutputR0]
0
[OutputControls]
0
[OutputCountry]
0
[OutputAdUnitVar]
0
[OutputHousehold]
0
[OutputInfType]
0
[OutputNonSeverity]
0
[OutputNonSummaryResults]
0
[Output incidence by administrative unit]
0
[Output infection tree]
0
[Only output non-extinct realisations]
0
==========================================================
[Include administrative units within countries]
1
[Update timestep]
0.25
[Equilibriation time]
0
[Sampling timestep]
1
[Sampling time]
720
[Grid size]
0.075
[Spatial domain for simulation]
73 6.3
136 54
[Number of micro-cells per spatial cell width]
9
[Initial immunity profile by age]
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[Initial immunity applied to all household members]
1
[Relative spatial contact rates by age]
0.6 0.7 0.75 1 1 1 1 1 1 1 1 1 1 1 1 0.75 0.5
(POLYMOD, averaging 20-70)
[Household attack rate]
0.1
(Adjusted to be the same as Cauchemez 2004 for R0=1.3.)
[Household transmission denominator power]
0.8
(Cauchemez 2004)
[Relative transmission rates for place types]
0.14 0.14 0.1 0.07
(School=2 x workplace. This gives Longini AJE 1988 age-specific infection attack rates for R0=1.3.
Also comparable with 1957 pandemic attack rates from Chin.)
[Proportion of between group place links]
0.25 0.25 0.25 0.25
(25% of within-group contacts)
[Include symptoms]
1
[Delay from end of latent period to start of symptoms]
0.5
(assume average time to symptom onset is a day)
[Proportion symptomatic by age group]
0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66 0.66
[Symptomatic infectiousness relative to asymptomatic]
1.5
[Relative rate of random contacts if symptomatic]
0.5
[Relative level of place attendance if symptomatic]
0.25 0.25 0.5 0.5
[Model symptomatic withdrawal to home as true absenteeism]
1
[Maximum age of child at home for whom one adult also stays at home]
16
[Proportion of children at home for whom one adult also stays at home]
1
[Duration of place absenteeism for cases who withdraw]
7
[Place close round household]
1
[Absenteeism place closure]
0
#[Max absent time]
#0
#Not used because [Absenteeism Place Closure] is 0.
[Initial number of infecteds]
1000
[Time when infection rate changes]
30
[Initial rate of importation of infections]
0
[Changed rate of importation of infections]
0
[Length of importation time profile provided]
0
[Daily importation time profile]
0.00039637 0.000422404 0.000603232 0.000806818 0.000977838 0.001215654 0.001475435 0.001759331 0.002095855 0.002476933 0.002909161 0.003410198 0.003982451 0.004638805 0.005395127 0.00626298 0.007261369 0.008410463 0.009732184 0.011253768 0.01300553 0.015022328 0.017344927 0.020019826 0.023100555 0.026649391 0.030737285 0.035446471 0.04087166 0.04712199 0.054323081 0.062619805 0.072178958 0.083192875 0.095883242 0.110505088 0.127353055 0.146765647 0.169134051 0.194907414 0.224605405 0.258825037 0.298255169 0.343688393 0.396040694 0.456363956 0.525872339 0.605965353 0.698253328 0.804594637 0.927128729 1.068321589 1.231009953 1.418469229 1.634476217 1.883366252 2.170149943 2.500595049 2.881346836 3.320054954 3.825541988 4.407960394 5.07901906 5.852193458 6.742999237 7.769281222 8.951656384 10.31379847 11.88295306 13.690484 15.7725322 18.17054397 20.93225706 24.11247717 27.77414928 31.98955641 36.84153527 42.42484495 48.84810841 56.23529325 64.72777172 74.48650501 85.69401624 98.55689323 113.307934 130.2079818 149.5482524 171.650606 196.8670786 225.5805289 258.1996665 295.1479906 336.8602628 383.7567184 436.226154 494.5852818 559.0401758 629.6271715 706.1466306 788.0877032 874.5385994 964.1277368 1054.942274 1144.497997 1229.819016 1307.478109 1373.849859 1425.375658 1458.909049 1472.112189 1463.74025 1433.873478 1383.937547 1316.559006 1235.24025 1143.978092 1046.827852 947.5742692 849.4524822 755.0099762 666.1067926 583.9342875 509.1260534 441.8703774 382.0284161 329.2333209 282.9819783 242.6943429 207.7671547 177.6025491 151.6341438 129.3333359 110.223406 93.87499488 79.90856345 67.99027638 57.82900897 49.17215405 41.80131863 35.5286855 30.19272742 25.65482116 21.79680064 18.51741927 15.73036742 13.3620726 11.34984238 9.640307581 8.188006869 6.954337378 5.906435165 5.016354116 4.260368274 3.61826508 3.072912654 2.609742089 2.216371142 1.882286966 1.598554546 1.357591285 1.152944119 0.979149081 0.831549648 0.70620165 0.59974816 0.509342763 0.43256591 0.367362791 0.311990061 0.264964778 0.22502858 0.19111364 0.162311178 0.137852214 0.117080312 0.099440002 0.084459683 0.07173828 0.06093513 0.051761119
[Reproduction number]
2
[Power of scaling of spatial R0 with density]
0
[Include latent period]
1
[Latent period]
4.59
(From Marc's estimates) - minus half a day to account for infectiousness pre symptom onset
[Latent period inverse CDF]
0 0.098616903 0.171170649 0.239705594 0.307516598 0.376194441 0.446827262 0.520343677 0.597665592 0.679808341 0.767974922 0.863671993 0.968878064 1.086313899 1.219915022 1.37573215 1.563841395 1.803041398 2.135346254 2.694118208 3.964172493
(From Marc's estimates)
[Model time varying infectiousness]
1
[Infectiousness profile]
0.487464241 1 1.229764827 1.312453175 1.307955665 1.251658756 1.166040358 1.065716869 0.960199498 0.855580145 0.755628835 0.662534099 0.577412896 0.500665739 0.432225141 0.371729322 0.318643018 0.272340645 0.232162632 0.19745264 0.167581252 0.141960133 0.120049578 0.101361532 0.085459603 0.071957123 0.060514046 0.050833195 0.04265624 0.035759641 0.029950735 0.025064045 0.02095788 0.017511251 0.014621091 0.012199802 0.010173075 0.008477992 0.007061366 0.005878301 0.00489096 0.004067488 0.003381102 0.00280931 0.002333237 0.001937064 0.001607543 0.001333589 0.001105933 0.00091683 0.000759816 0.000629496 0.000521372 0.000431695 0.000357344 0.000295719 0.000244659
[Infectious period]
14
[Infectious period inverse CDF]
0 0.171566836 0.424943468 0.464725594 0.50866631 0.55773764 0.613298069 0.67732916 0.752886568 0.843151261 0.895791527 0.955973422 1.026225109 1.110607115 1.216272375 1.336349102 1.487791911 1.701882384 1.865779085 2.126940581 2.524164972
(Cauchemez)
[k of individual variation in infectiousness]
1
==========================================================
[Use global triggers for interventions]
1
[Use admin unit triggers for interventions]
0
[Number of sampling intervals over which cumulative incidence measured for global trigger]
1000
[Use cases per thousand threshold for area controls]
0
[Divisor for per-capita global threshold (default 1000)]
100000
[Divisor for per-capita area threshold (default 1000)]
1000
[Trigger alert on deaths]
1
[Number of deaths accummulated before alert]
10000
[Number of days to accummulate cases/deaths before alert]
100
[Day of year trigger is reached]
100
[Alert trigger starts after interventions]
1
[Day of year interventions start]
76
[Proportion of cases detected for treatment]
1
[Treatment trigger incidence per cell]
100000
[Places close only once]
0
[Social distancing only once]
1
[Use ICU case triggers for interventions]
1
[Proportion of cases detected before outbreak alert]
1
[Number of detected cases needed before outbreak alert triggered]
0
====================================
[Number of realisations]
1
[Number of non-extinct realisations]
1
[Maximum number of cases defining small outbreak]
10000
[Do one generation]
0
[Bitmap scale]
60
[Bitmap y:x aspect scaling]
1.5
[Calculate spatial correlations]
0
[Bitmap movie frame interval]
300
[Record infection events]
0
[Record infection events per run]
0
[Max number of infection events to record]
1000000000
[Limit number of infections]
0
[Max number of infections]
1000000000
===================================
[Do Severity Analysis]
1
[Mean_MildToRecovery]
7
[Mean_ILIToRecovery]
7
[Mean_ILIToSARI]
5
[Mean_SARIToRecovery]
1
[Mean_SARIToDeath]
1
[Mean_SARIToCritical]
1
[Mean_CriticalToCritRecov]
1
[Mean_CriticalToDeath]
1
[Mean_CritRecovToRecov]
1
[MeanTimeToTest]
4
[MeanTimeToTestOffset]
1
[MeanTimeToTestCriticalOffset]
3.3
[MeanTimeToTestCritRecovOffset]
9.32
[MildToRecovery_icdf]
0 0.341579599 0.436192391 0.509774887 0.574196702 0.633830053 0.690927761 0.74691114 0.802830695 0.859578883 0.918015187 0.97906363 1.043815683 1.113669859 1.190557274 1.277356871 1.378761429 1.50338422 1.670195767 1.938414132 2.511279379
[ILIToRecovery_icdf]
0 0.341579599 0.436192391 0.509774887 0.574196702 0.633830053 0.690927761 0.74691114 0.802830695 0.859578883 0.918015187 0.97906363 1.043815683 1.113669859 1.190557274 1.277356871 1.378761429 1.50338422 1.670195767 1.938414132 2.511279379
[ILIToSARI_icdf]
0 0.341579599 0.436192391 0.509774887 0.574196702 0.633830053 0.690927761 0.74691114 0.802830695 0.859578883 0.918015187 0.97906363 1.043815683 1.113669859 1.190557274 1.277356871 1.378761429 1.50338422 1.670195767 1.938414132 2.511279379
[SARIToRecovery_icdf]
0 0.634736097 1.217461548 1.805695261 2.41206761 3.044551205 3.71010552 4.415905623 5.170067405 5.982314035 6.864787504 7.833196704 8.908589322 10.12027655 11.51100029 13.14682956 15.13821107 17.69183155 21.27093904 27.35083955 41.35442157
[SARIToDeath_icdf]
0 1.703470233 2.39742257 2.970367222 3.491567676 3.988046604 4.474541783 4.960985883 5.455292802 5.964726999 6.496796075 7.06004732 7.665014091 8.325595834 9.061367792 9.901900127 10.8958347 12.133068 13.81280888 16.56124574 22.5803431
[SARIToCritical_icdf]
0 0.108407687 0.220267228 0.337653773 0.46159365 0.593106462 0.733343356 0.88367093 1.045760001 1.221701998 1.414175806 1.62669998 1.864032461 2.132837436 2.442868902 2.809242289 3.257272257 3.834402667 4.647120033 6.035113821 9.253953212
[CriticalToCritRecov_icdf]
0 1.308310071 1.87022015 2.338694632 2.76749788 3.177830401 3.581381361 3.986127838 4.398512135 4.824525291 5.270427517 5.743406075 6.252370864 6.809125902 7.430338867 8.141231404 8.983341913 10.03350866 11.46214198 13.80540164 18.95469153
[CriticalToDeath_icdf]
0 1.60649128 2.291051747 2.860938008 3.382077741 3.880425012 4.37026577 4.861330415 5.361460943 5.877935626 6.4183471 6.991401405 7.607881726 8.282065409 9.034104744 9.894486491 10.91341144 12.18372915 13.9113346 16.74394356 22.96541429
[CritRecovToRecov_icdf]
0 0.133993315 0.265922775 0.402188416 0.544657341 0.694774487 0.853984373 1.023901078 1.206436504 1.403942719 1.619402771 1.856711876 2.121118605 2.419957988 2.763950408 3.169692564 3.664959893 4.301777536 5.196849239 6.7222126 10.24997697
[Prop_Mild_ByAge]
0.666244874 0.666307235 0.666002907 0.665309462 0.663636419 0.660834577 0.657465236 0.65343285 0.650261465 0.64478501 0.633943755 0.625619329 0.609080537 0.600364976 0.5838608 0.566553872 0.564646465
[Prop_ILI_ByAge]
0.333122437 0.333153617 0.333001453 0.332654731 0.33181821 0.330417289 0.328732618 0.326716425 0.325130732 0.322392505 0.316971878 0.312809664 0.304540269 0.300182488 0.2919304 0.283276936 0.282323232
[Prop_SARI_ByAge]
0.000557744 0.000475283 0.000877703 0.001794658 0.004006955 0.007711884 0.012167229 0.017359248 0.021140307 0.027047193 0.03708932 0.039871236 0.040788928 0.027444452 0.101605674 0.142001415 0.150469697
[Prop_Critical_ByAge]
7.49444E-05 6.38641E-05 0.000117937 0.000241149 0.000538417 0.00103625 0.001634918 0.002491477 0.003467496 0.005775292 0.011995047 0.021699771 0.045590266 0.072008084 0.022603126 0.008167778 0.002560606
[CFR_Critical_ByAge]
0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896 0.5234896
[CFR_SARI_ByAge]
0.125893251 0.12261338 0.135672867 0.152667869 0.174303077 0.194187895 0.209361731 0.224432564 0.237013516 0.257828065 0.290874602 0.320763971 0.362563751 0.390965457 0.421151485 0.447545892 0.482
[CFR_ILI_ByAge]
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[Mean_ILIToDeath]
7
[ILIToDeath_icdf]
0 2.257735908 3.171065856 3.924183798 4.608738224 5.260437017 5.898728066 6.53669783 7.184755068 7.852438367 8.549591424 9.287408763 10.07967529 10.94457146 11.90769274 13.00769447 14.3081531 15.92655201 18.12320384 21.71626849 29.58154704
[Mean child age gap]
2
[Min adult age]
19
[Max MF partner age gap]
5
[Max FM partner age gap]
5
[Min parent age gap]
19
[Max parent age gap]
44
[Max child age]
20
[One Child Two Pers Prob]
0.08
[Two Child Three Pers Prob]
0.11
[One Pers House Prob Old]
0.5
[Two Pers House Prob Old]
0.5
[One Pers House Prob Young]
0.23
[Two Pers House Prob Young]
0.23
[One Child Prob Youngest Child Under Five]
0.5
[Two Children Prob Youngest Under Five]
0.0
[Prob Youngest Child Under Five]
0
[Zero Child Three Pers Prob]
0.25
[One Child Four Pers Prob]
0.2
[Young And Single Slope]
0.7
[Young And Single]
36
[No Child Pers Age]
44
[Old Pers Age]
60
[Three Child Five Pers Prob]
0.5
[Older Gen Gap]
19