properties and parameters (.csv)

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