parameter values (.csv) ======================= :download:`Download original .csv file from GitHub ` ==== ==================================================== =========== ============== ============ ============ =============== ================================================================== .. parameter\_name value param\_label prior\_min prior\_max prior\_note reference ==== ==================================================== =========== ============== ============ ============ =============== ================================================================== 0 delay\_till\_hsi\_a\_repeated 5.00001 local 1 24 vague prior assumption 1 delay\_till\_hsi\_b\_repeated 20.0001 local 1 24 vague prior assumption 2 rr\_WASH 0.6 local 0.01 100 vague prior Grimes 2014 3 calibration\_scenario 0 scenario NA NA scenario 4 urine\_filtration\_sensitivity\_lowWB 0.6 universal 0 1 vague prior 5 urine\_filtration\_sensitivity\_moderateWB 0.68 universal 0 1 vague prior 6 urine\_filtration\_sensitivity\_heavyWB 0.75 universal 0 1 vague prior 7 urine\_filtration\_specificity\_lowWB 0.999999 universal 0 1 vague prior 8 urine\_filtration\_specificity\_moderateWB 0.999999 universal 0 1 vague prior 9 urine\_filtration\_specificity\_heavyWB 0.999999 universal 0 1 vague prior 10 kato\_katz\_sensitivity\_moderateWB 0.5 universal 0 1 vague prior 11 kato\_katz\_sensitivity\_heavyWB 0.62 universal 0 1 vague prior 12 kato\_katz\_specificity\_moderateWB 0.999999 universal 0 1 vague prior 13 kato\_katz\_specificity\_heavyWB 0.999999 universal 0 1 vague prior 14 scaleup\_WASH continue scenario NA NA scenario 15 scaleup\_WASH\_start\_year 2024 scenario 2020 2050 scenario 16 mda\_coverage 0.7 scenario 0 1 scenario 17 mda\_target\_group SAC scenario scenario 18 mda\_frequency\_months 12 scenario 1 12 scenario 19 scaling\_factor\_baseline\_risk 0.01 undetermined 0 1 calibration 20 baseline\_risk 5 undetermined 0 100 calibration 21 background\_gamma 1.3 undetermined 0 5 calibration 22 background\_rel 0.02 undetermined 0 1 calibration 23 daly\_weight\_mild\_schistosomiasis 0 universal 0 1 vague prior 24 daly\_weight\_moderate\_s\_mansoni 0.011 universal 0 1 vague prior 25 daly\_weight\_heavy\_s\_mansoni 0.325 universal 0 1 vague prior 26 daly\_weight\_moderate\_s\_haematobium 0.011 universal 0 1 vague prior 27 daly\_weight\_heavy\_s\_haematobium 0.325 universal 0 1 vague prior 28 R0\_haematobium 1.6 local 0 5 vague prior 29 heavy\_intensity\_threshold\_haematobium 20 universal 0 100 vague prior WHO 30 heavy\_intensity\_threshold\_PSAC\_haematobium 5 universal 0 100 vague prior assumption 31 low\_intensity\_threshold\_haematobium 10 universal 0 100 vague prior assumption 32 worms\_fecundity\_haematobium 0.005 universal 0 1 vague prior Truscott et al 33 worm\_lifespan\_haematobium 6 universal 0 20 vague prior Anderson et al 2016 34 beta\_PSAC\_haematobium 0.3 universal 0 5 vague prior Truscott et al 35 beta\_SAC\_haematobium 1.0000001 universal 0 5 vague prior Truscott et al 36 beta\_Adults\_haematobium 0.06 universal 0 5 vague prior Toor 2018 37 PZQ\_efficacy\_haematobium 0.941 universal 0 1 vague prior Zwang 2014 38 baseline\_prevalence\_haematobium 0.116 local 0 1 vague prior average from LatestData 2010 39 R0\_mansoni 1.66 undetermined 0 5 calibration 40 heavy\_intensity\_threshold\_mansoni 28 universal 0 100 vague prior WHO 41 heavy\_intensity\_threshold\_PSAC\_mansoni 20 universal 0 100 vague prior assumption 42 low\_intensity\_threshold\_mansoni 7 universal 0 100 vague prior assumption 43 worms\_fecundity\_mansoni 0.0006 universal 0 1 vague prior Chan et al 44 worm\_lifespan\_mansoni 4 universal 0 20 vague prior Anderson et al 2017 45 beta\_PSAC\_mansoni 0.3 universal 0 5 vague prior Truscott et al 46 beta\_SAC\_mansoni 1.000001 universal 0 5 vague prior Truscott et al 47 beta\_Adults\_mansoni 0.06 universal 0 5 vague prior Toor 2018 48 PZQ\_efficacy\_mansoni 0.863 universal 0 1 vague prior Zwang 2014 49 baseline\_prevalence\_mansoni 0.031 local 0 1 vague prior average from LatestData 2010 50 odds\_ratio\_health\_seeking\_children\_schisto\_low 0.01 local 0.01 100 vague prior 51 odds\_ratio\_health\_seeking\_adults\_schisto\_low 0.01 local 0.01 100 vague prior 52 kato\_katz\_sensitivity\_lowWB 0.0000001 universal 0 1 vague prior 53 kato\_katz\_specificity\_lowWB 0.0000001 universal 0 1 vague prior 54 urine\_filtration\_sensitivity\_noneWB 0.0000001 universal 0 1 vague prior 55 urine\_filtration\_specificity\_noneWB 0.0000001 universal 0 1 vague prior 56 single\_district\_calibration\_number 19 scenario NA NA scenario 57 single\_district\_calibration\_name Zomba scenario NA NA scenario 58 single\_district\_calibration\_region Southern scenario NA NA scenario 59 mda\_schedule\_month 7 undetermined 1 12 design decision 60 mda\_schedule\_day 1 undetermined 1 31 design decision 61 minimum\_baseline\_prevalence 0.000001 undetermined 1.00E-10 1.00E-03 design decision 62 prevalence\_lower\_bound 0.000000001 undetermined 0 1 design decision 63 prevalence\_upper\_bound 0.9999999 undetermined 0 1 design decision 64 infant\_min\_age 0 undetermined 0 5 structural 65 infant\_max\_age 1 undetermined 0 5 structural 66 psac\_min\_age 2 undetermined 0 10 structural 67 psac\_max\_age 4 undetermined 0 10 structural 68 sac\_min\_age 5 undetermined 0 20 structural 69 sac\_max\_age 14 undetermined 0 20 structural 70 adults\_min\_age 15 undetermined 10 25 structural 71 adults\_max\_age 120 undetermined 80 150 structural 72 mda\_execute TRUE scenario NA NA scenario 73 single\_district FALSE scenario NA NA scenario 74 main\_polling\_frequency 1 undetermined 1 12 design decision 75 worm\_maturation\_period\_months 1 universal 1 12 vague prior 76 worm\_death\_check\_frequency\_years 1 local 1 5 vague prior 77 mda\_appointment\_window\_months 1 local 1 12 vague prior 78 wash\_scaleup\_frequency\_years 1 local 1 5 vague prior 79 recent\_sanitation\_window\_years 1 local 1 5 vague prior 80 avg\_weight\_psac\_kg 17.5 universal 10 25 vague prior Child 0-5, maximum weight 17.5kg (WHO- average between girls/boys) 81 avg\_weight\_sac\_kg 30 universal 20 50 vague prior Child aged 5-15, use mid-point age 10: 50th percentile weight=30kg 82 avg\_weight\_adult\_kg 62 universal 50 80 vague prior Adult, average weight 62kg ==== ==================================================== =========== ============== ============ ============ =============== ==================================================================