properties and parameters (.csv) ================================ :download:`Download original .csv file from GitHub ` ==== ==================================================================== ==================================================================================================================== ============================================================================================================================ ====================================================================================================================== .. Unnamed: 0 Unnamed: 1 Unnamed: 2 Unnamed: 3 ==== ==================================================================== ==================================================================================================================== ============================================================================================================================ ====================================================================================================================== 0 1 DescriptionofEventsandParameters 2 3 Property/event Description 4 li\_urban currently urban 5 li\_wealth wealth level (1-5, 1 is highest wealth) 6 li\_bmi bmi category (1: < 18, 2: 18-25, 3: 25-29.9, 4: 30-34.9, 5: 35+, 0 before age 15) 7 li\_tob currently using tobacco 8 li\_date\_not\_tob date quit tobacco use 9 li\_in\_ed currently in education 10 li\_ed\_lev education level attained (so far) 11 li\_low\_ex current low exercise 12 li\_ex\_alc current excess alcohol 13 li\_mar\_stat marital status 14 li\_unimproved\_sanitation unimproved sanitation 15 li\_no\_clean\_drinking\_water no clean drinking water 16 li\_wood\_burn\_stove wood (straw / crop-burning stove - indoor air pollution) 17 li\_no\_access\_handwashing no access to handwashing 18 19 20 Parameter Description Notes and Major Assumptions (see individual figures to right) 21 init\_p\_wood\_burn\_stove initial probability of wood\_burn\_stove given urban dhs 2015 22 init\_rp\_wood\_burn\_stove\_rural initial relative prevalence of wood\_burn\_stove if rural dhs 2015 23 init\_p\_unimproved\_sanitation initial probability of unimproved\_sanitation given urban dhs 2015 24 init\_rp\_unimproved\_sanitation\_rural initial relative prevalence of unimproved\_sanitation if rural dhs 2015 25 init\_p\_no\_clean\_drinking\_water initial probability of no\_clean\_drinking\_water given urban dhs 2015 26 init\_rp\_no\_clean\_drinking\_water\_rural initial relative prevalence of no clean drinking\_water if rural dhs 2015 27 init\_p\_no\_access\_handwashing initial probability of no\_access\_handwashing given wealth 1 dhs 2015 28 init\_rp\_no\_access\_handwashing\_per\_lower\_wealth initial relative prevalence of no\_access\_handwashing per lower wealth level dhs 2015 29 init\_p\_urban proportion urban at baseline dhs 2015 30 init\_p\_wealth\_urban List of probabilities of category given urban dhs 2015 31 init\_p\_low\_ex\_m\_urban initial prevalence of low exercise - male, urban Msyamboza et al; 2011; WHO STEPS 32 init\_p\_low\_ex\_m\_rural initial prevalence of low exercise - male, rural Msyamboza et al; 2011; WHO STEPS 33 init\_p\_low\_ex\_f\_urban initial prevalence of low exercise - female, urban Msyamboza et al; 2011; WHO STEPS 34 init\_p\_tob\_m\_age1519 initial prevalence of tobacco use, male age1519 dhs 2015 35 init\_p\_tob\_m\_age2039 initial prevalence of tobacco use, male aged2039 dhs 2015 36 init\_p\_tob\_m\_age40+ initial prevalence of tobacco use, male age 40+ dhs 2015 37 init\_p\_tob\_f\_age1519 initial prevalence of tobacco use, female age1519 dhs 2015 38 init\_p\_tob\_f\_age2039 initial prevalence of tobacco use, female aged2039 dhs 2015 39 init\_p\_tob\_f\_age40+ initial prevalence of tobacco use, female aged40+ dhs 2015 40 init\_p\_ex\_alc\_m initial prevalence of excess alcohol in men WHO 2014 report http://www.who.int/substance\_abuse/publications/global\_alcohol\_report/msb\_gsr\_2014\_2.pdf?ua=1 41 init\_p\_ex\_alc\_f intial prevalence of excess alcohol in women WHO 2014 report http://www.who.int/substance\_abuse/publications/global\_alcohol\_report/msb\_gsr\_2014\_2.pdf?ua=1 42 init\_p\_low\_ex\_f\_rural initial prevalence of low exercise - female, rural Msyamboza et al; 2011; WHO STEPS 43 init\_p\_wealth\_rural List of probabilities of category given rural dhs 2015 44 init\_dist\_mar\_stat\_age1520 proportions never, current, div\_wid age 15-20 baseline dhs 2015 45 init\_dist\_mar\_stat\_age2030 proportions never, current, div\_wid age 20-30 baseline dhs 2015 46 init\_dist\_mar\_stat\_age3040 proportions never, current, div\_wid age 30-40 baseline dhs 2015 47 init\_dist\_mar\_stat\_age4050 proportions never, current, div\_wid age 40-50 baseline dhs 2015 48 init\_dist\_mar\_stat\_age5060 proportions never, current, div\_wid age 50-60 baseline dhs 2015 49 init\_dist\_mar\_stat\_agege60 proportions never, current, div\_wid age ge 60 baseline dhs 2015 50 init\_age2030\_w5\_some\_ed proportions of low wealth 20-30 year olds with some education at baseline inferred from DHS 2015 data (see diagram to right) 51 init\_rp\_some\_ed\_age0513 relative prevalence of some education at baseline age 5-13 inferred from DHS 2015 data (see diagram to right) 52 init\_rp\_some\_ed\_age1320 relative prevalence of some education at baseline age 13-20 inferred from DHS 2015 data (see diagram to right) 53 init\_rp\_some\_ed\_age2030 relative prevalence of some education at baseline age 20-30 inferred from DHS 2015 data (see diagram to right) 54 init\_rp\_some\_ed\_age3040 relative prevalence of some education at baseline age 30-40 inferred from DHS 2015 data (see diagram to right) 55 init\_rp\_some\_ed\_age4050 relative prevalence of some education at baseline age 40-50 inferred from DHS 2015 data (see diagram to right) 56 init\_rp\_some\_ed\_age5060 relative prevalence of some education at baseline age 50-60 inferred from DHS 2015 data (see diagram to right) 57 init\_rp\_some\_ed\_agege60 relative prevalence of some education at baseline age age 60+ inferred from DHS 2015 data (see diagram to right) 'init\_rp\_some\_ed\_agege60': Parameter(Types.REAL, 'relative prevalence of some education at baseline age age 60+'), 58 init\_rp\_some\_ed\_per\_higher\_wealth relative prevalence of some education at baseline per higher wealth level inferred from DHS 2015 data (see diagram to right) 59 init\_prop\_age2030\_w5\_some\_ed\_sec proportion of low wealth aged 20-30 with some education who have secondary education at baseline inferred from DHS 2015 data (see diagram to right) 60 init\_rp\_some\_ed\_sec\_age1320 relative prevalence of secondary education age 15-20 inferred from DHS 2015 data (see diagram to right) 61 init\_rp\_some\_ed\_sec\_age3040 relative prevalence of secondary education age 30-40 inferred from DHS 2015 data (see diagram to right) 62 init\_rp\_some\_ed\_sec\_age4050 relative prevalence of secondary education age 40-50 inferred from DHS 2015 data (see diagram to right) 63 init\_rp\_some\_ed\_sec\_age5060 relative prevalence of secondary education age 50-60 inferred from DHS 2015 data (see diagram to right) 64 init\_rp\_some\_ed\_sec\_agege60 relative prevalence of secondary education age 60+ inferred from DHS 2015 data (see diagram to right) 65 init\_rp\_some\_ed\_sec\_per\_higher\_wealth relative prevalence of secondary education per higher wealth level inferred from DHS 2015 data (see diagram to right) 66 init\_p\_bmi\_urban\_m\_not\_high\_sugar\_age1529\_not\_tob\_wealth1 initial probabilities of bmi categories for urban men age 15-29 not using tobacco, not high sugar and wealth level 1 informed by Price et al 2018 67 init\_or\_higher\_bmi\_f odds ratio for higher initial bmi category if female informed by Price et al 2018 68 init\_or\_higher\_bmi\_rural odds ratio for higher initial bmi category if rural informed by Price et al 2018 69 init\_or\_higher\_bmi\_high\_sugar odds ratio for higher initial bmi category if high sugar informed by Price et al 2018 70 init\_or\_higher\_bmi\_age3049 odds ratio for higher initial bmi category if age 30-49 informed by Price et al 2018 71 init\_or\_higher\_bmi\_agege50 odds ratio for higher initial bmi category if age 50+ informed by Price et al 2018 72 init\_or\_higher\_bmi\_tob odds ratio for higher initial bmi category if using tobacco informed by Price et al 2018 73 init\_or\_higher\_bmi\_per\_higher\_wealth\_level odds ratio for higher initial bmi category per higher wealth level informed by Price et al 2018 74 init\_p\_high\_sugar initial probability of high sugar intake informed by Price et al 2018 75 init\_p\_high\_salt\_urban initial probability of high salt intake if urban informed by Price et al 2018 76 init\_or\_high\_salt\_rural rate ratio for high salt intake if rural informed by Price et al 2018 77 r\_urban probability per 3 months of change from rural to urban rate low given small change between 2010 and 2015 DHS 78 r\_rural probability per 3 months of change from urban to rural assumed negligible, given trends in successive DHS 79 r\_low\_ex probability per 3 months of change from not low exercise to low exercise rate combined with relative rates below leads to prevalence by gender and urban/rural consistent with prevalence at baseline 80 r\_not\_low\_ex probability per 3 months of change from low exercise to not low exercise currently assumed negligible - will be raised by interventions to increase exercise 81 rr\_low\_ex\_f risk ratio for becoming low exercise if female rather than male relative rate combined with rates above leads to prevalence by gender and urban/rural consistent with prevalence at baseline 82 rr\_low\_ex\_urban risk ratio for becoming low exercise if urban rather than rural relative rate combined with rates above leads to prevalence by gender and urban/rural consistent with prevalence at baseline 83 r\_tob probability per 3 months of change from not using tobacco to using tobacco if male age 15-19 wealth level 1 rates chosen to be consistent with baseline prevalence by age and gender, based on DHS 84 r\_not\_tob probability per 3 months of change from tobacco using to not tobacco using assumed no quiting but interventions against tobacco will alter this 85 rr\_tob\_age2039 risk ratio for tobacco using if age 20-39 compared with 15-19 effects inferred from DHS 2015 86 rr\_tob\_agege40 risk ratio for tobacco using if age >= 40 compared with 15-19 effects inferred from DHS 2015 87 rr\_tob\_f risk ratio for tobacco using if female effects inferred from DHS 2015 88 rr\_tob\_wealth risk ratio for tobacco using per 1 higher wealth level (higher wealth level = lower wealth) effects inferred from DHS 2015 89 r\_ex\_alc probability per 3 months of change from not excess alcohol to excess alcohol rate informed by that requried to lead to prevalemce in WHO 2014 report 90 r\_not\_ex\_alc probability per 3 months of change from excess alcohol to not excess alcohol assume no transition to no excess alcohol - interventions might change this 91 rr\_ex\_alc\_f risk ratio for becoming excess alcohol if female rather than male rate informed by that requried to lead to prevalemce in WHO 2014 report 92 r\_mar probability per 3 months of marriage when age 15-30 rates consistent with prevalence of marriage, widowed/divorced 93 r\_div\_wid probability per 3 months of becoming divorced or widowed amongst those married rates consistent with prevalence of marriage, widowed/divorced 94 r\_stop\_ed probabilities per 3 months of stopping education once in secondary education if wealth level 5 these rates chosen to calibrate approximately to patterns in DHS 2015 (see diagram) 95 rr\_stop\_ed\_lower\_wealth relative rate of stopping education per 1 lower wealth quintile these rates chosen to calibrate approximately to patterns in DHS 2015 (see diagram) 96 p\_ed\_primary probability at age 5 that start primary education if wealth level 5 these rates chosen to calibrate approximately to patterns in DHS 2015 (see diagram) 97 rp\_ed\_primary\_higher\_wealth relative probability of starting school per 1 higher wealth level these rates chosen to calibrate approximately to patterns in DHS 2015 (see diagram) 98 p\_ed\_secondary probability at age 13 that start secondary education at 13 if in primary education and wealth level 5 these rates chosen to calibrate approximately to patterns in DHS 2015 (see diagram) 99 rp\_ed\_secondary\_higher\_wealth relative probability of starting secondary school per 1 higher wealth level these rates chosen to calibrate approximately to patterns in DHS 2015 (see diagram) 100 r\_improved\_sanitation probability per 3 months of change from unimproved\_sanitation true to false low rates plcae-holder until evidence of any substantive transition emerges 101 r\_clean\_drinking\_water probability per 3 months of change from drinking\_water true to false low rates plcae-holder until evidence of any substantive transition emerges 102 r\_non\_wood\_burn\_stove probability per 3 months of change from wood\_burn\_stove true to false low rates plcae-holder until evidence of any substantive transition emerges 103 r\_access\_handwashing probability per 3 months of change from no\_access\_handwashing true to false low rates plcae-holder until evidence of any substantive transition emerges 104 r\_higher\_bmi rate of higher bmi category if in category 1-4 and rural male age 15-29 not tobacco wealth 1 not high sugar informed by Price et al 2018 105 rr\_higher\_bmi\_urban rate ratio for higher bmi if urban informed by Price et al 2018 106 rr\_higher\_bmi\_f rate ratio for higher bmi if female informed by Price et al 2018 107 rr\_higher\_bmi\_age3049 rate ratio for higher bmi if age 30-49 informed by Price et al 2018 108 rr\_higher\_bmi\_agege50 rate ratio for higher bmi if age 50+ informed by Price et al 2018 109 rr\_higher\_bmi\_tob rate ratio for higher bmi if tobacco smoker informed by Price et al 2018 110 rr\_higher\_bmi\_per\_higher\_wealth rate ratio for higher bmi per higher wealth 111 rr\_higher\_bmi\_high\_sugar rate ratio for higher bmi if high sugar intake informed by Price et al 2018 112 r\_lower\_bmi rate of lower bmi if not tobacco informed by Price et al 2018 113 rr\_lower\_bmi\_tob rate ratio for lower bmi if use tobacco informed by Price et al 2018 114 rr\_lower\_bmi\_pop\_advice\_weight rate ratio for lower bmi if exposed to population intervention on weight loss 115 r\_high\_salt\_urban rate of becoming high salt intake if urban informed by Price et al 2018 116 rr\_high\_salt\_rural rate ratio of high salt intake if rural informed by Price et al 2018 117 r\_not\_high\_salt rate of becoming not high salt intake informed by Price et al 2018 118 rr\_not\_high\_salt\_pop\_advice\_salt rate ratio of not high salt intake if exposed to population intervention on salt reduction 119 r\_high\_sugar rate of becoming high sugar intake informed by Price et al 2018 120 r\_not\_high\_sugar rate of becoming not high sugar intake informed by Price et al 2018 121 rr\_not\_high\_sugar\_pop\_advice\_sugar rate ratio for not high sugar intake if exposed to population advice on sugar reduction 122 rr\_not\_low\_ex\_pop\_advice\_exercise TODO: value for this 123 rr\_not\_ex\_alc\_pop\_advice\_alcohol TODO: value for this ==== ==================================================================== ==================================================================================================================== 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