parameter values (.csv)
Download original .csv file from GitHub
parameter_name |
value |
param_label |
prior_min |
prior_max |
prior_note |
reference |
|
|---|---|---|---|---|---|---|---|
0 |
prob_ectopic_pregnancy |
[0.01, 0.01] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Institute of Health Metrics and Evaluation (2019) GBD Results Tool | GHDx, 2019. Available at: http://ghdx.healthdata.org/gbd-results-tool (Accessed: 6 July 2021). |
1 |
prob_care_seeking_ectopic_pre_rupture |
[0.08, 0.08] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Flores, A. H. et al. (2015) ‘Frequency of utilisation of ultrasound in the diagnosis of ectopic pregnancy in Sub-Saharan Africa countries: A systematic review’, in African Journal of Emergency Medicine. African Federation for Emergency Medicine, pp. 31–36. doi: 10.1016/j.afjem.2014.08.001. |
2 |
prob_ectopic_pregnancy_death |
[0.02, 0.012] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Ministry of Health Malawi et al. (2010) Malawi 2010 EmONC Needs Assessment Final Report. Ministry of Health Malawi et al. (2015) Malawi Emergency Obstetric and Newborn Care Needs Assessment, 2014. |
3 |
|||||||
4 |
prob_multiples |
[0.0399, 0.0399] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Monden, C. W. S. and Smits, J. (2017) ‘Mortality among twins and singletons in sub-Saharan Africa between 1995 and 2014: a pooled analysis of data from 90 Demographic and Health Surveys in 30 countries’, The Lancet Global Health. Elsevier Ltd, 5(7), pp. e673–e679. doi: 10.1016/S2214-109X(17)30197-3. |
5 |
|||||||
6 |
prob_placenta_praevia |
[0.005,0.0058] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Senkoro, E. E. et al. (2017) ‘Frequency, Risk Factors, and Adverse Fetomaternal Outcomes of Placenta Previa in Northern Tanzania’, Journal of Pregnancy. Hindawi Limited, 2017. doi: 10.1155/2017/5936309. |
7 |
rr_placenta_praevia_previous_cs |
[1.47,1.47] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
Yang, Q. et al. (2007) ‘Association of caesarean delivery for first birth with placenta praevia and placental abruption in second pregnancy’, BJOG: An International Journal of Obstetrics and Gynaecology. BJOG, 114(5), pp. 609–613. doi: 10.1111/j.1471-0528.2007.01295.x. |
8 |
|||||||
9 |
prob_syphilis_during_pregnancy |
[0.028, 0.028] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Malawi Integrated HIV Program Reports |
10 |
|||||||
11 |
prob_previous_miscarriage_at_baseline |
0.047 |
undetermined |
0 |
1 |
calibration |
National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017 |
12 |
prob_spontaneous_abortion_per_month |
[[0.025, 0.037, 0.05, 0.037, 0.025], [0.025, 0.037, 0.05, 0.037, 0.025]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021). Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639. |
13 |
rr_spont_abortion_age_35 |
[4, 4] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
Dellicour, S. et al. (2016) ‘Weekly miscarriage rates in a community-based prospective cohort study in rural western Kenya’, BMJ Open, 6(4). doi: 10.1136/bmjopen-2016-011088. |
14 |
rr_spont_abortion_age_31_34 |
[2.31, 2.31] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
Dellicour, S. et al. (2016) ‘Weekly miscarriage rates in a community-based prospective cohort study in rural western Kenya’, BMJ Open, 6(4). doi: 10.1136/bmjopen-2016-011088. |
15 |
rr_spont_abortion_prev_sa |
[2.23, 2.23] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
Dellicour, S. et al. (2016) ‘Weekly miscarriage rates in a community-based prospective cohort study in rural western Kenya’, BMJ Open, 6(4). doi: 10.1136/bmjopen-2016-011088. |
16 |
prob_complicated_sa |
[0.11, 0.11] |
local |
[0, 0] |
[1,1] |
vague prior |
Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021). Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639. |
17 |
prob_induced_abortion_per_month |
[0.038, 0.038] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021). Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639. |
18 |
prob_complicated_ia |
[0.37 ,0.37] |
local |
[0, 0] |
[1,1] |
vague prior |
Levandowski, B. A. et al. (2013) The Incidence of Induced Abortion in Malawi, Perspectives on Sexual and Reproductive Health. Available at: https://www.jstor.org/stable/41959960 (Accessed: 5 July 2021). Polis, C. B. et al. (2017) ‘Incidence of induced abortion in Malawi, 2015’, PLoS ONE. Public Library of Science, 12(4). doi: 10.1371/journal.pone.0173639. |
19 |
prob_haemorrhage_post_abortion |
[0.23, 0.23] |
local |
[0, 0] |
[1,1] |
vague prior |
The magnitude and severity of abortion-related morbidity in settings with limited access to abortion services: a systematic review and meta-regression’, BMJ Global Health. BMJ Publishing Group, 3(3), p. e000692. doi: 10.1136/bmjgh-2017-000692. |
20 |
prob_sepsis_post_abortion |
[0.137, 0.137] |
local |
[0, 0] |
[1,1] |
vague prior |
Kalilani-Phiri, L. et al. (2015) ‘The severity of abortion complications in Malawi’, International Journal of Gynecology & Obstetrics. Elsevier Ireland Ltd, 128(2), pp. 160–164. doi: 10.1016/j.ijgo.2014.08.022. |
21 |
prob_injury_post_abortion |
[0.056, 0.056] |
local |
[0, 0] |
[1,1] |
vague prior |
Kalilani-Phiri, L. et al. (2015) ‘The severity of abortion complications in Malawi’, International Journal of Gynecology & Obstetrics. Elsevier Ireland Ltd, 128(2), pp. 160–164. doi: 10.1016/j.ijgo.2014.08.022. |
22 |
prob_spontaneous_abortion_death |
[0.01, 0.005] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Ministry of Health Malawi et al. (2010) Malawi 2010 EmONC Needs Assessment Final Report. Ministry of Health Malawi et al. (2015) Malawi Emergency Obstetric and Newborn Care Needs Assessment, 2014. |
23 |
prob_induced_abortion_death |
[0.005, 0.0025] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Ministry of Health Malawi et al. (2010) Malawi 2010 EmONC Needs Assessment Final Report. Ministry of Health Malawi et al. (2015) Malawi Emergency Obstetric and Newborn Care Needs Assessment, 2014. |
24 |
|||||||
25 |
baseline_prob_anaemia_per_month |
[0.1, 0.12] |
undetermined |
[0, 0] |
[1,1] |
calibration |
National Statistical Office (NSO), ICF Macro. Malawi Demographic and Health Survey 2010. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro, 2011. National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017 |
26 |
rr_anaemia_maternal_malaria |
[1.45, 1.45] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
27 |
rr_anaemia_hiv_no_art |
[4.19, 4.19] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
28 |
prob_mild_mod_sev_anaemia |
[[0.52,0.475, 0.005], [0.50, 0.46, 0.04]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
National Statistical Office (NSO), ICF Macro. Malawi Demographic and Health Survey 2010. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro, 2011. National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017 |
29 |
|||||||
30 |
prob_gest_diab_per_month |
[0.0056, 0.0056] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Phiri, T. J., Kasiya, M. and Allain, T. (2019) Full Prevalence Of Gestational Diabetes In Urban Women In Blantyre, Malawi: A Cross Sectional Study And Comparison Of Who And IADPSG Criteria. doi: 10.21203/rs.2.13491/v1. |
31 |
rr_gest_diab_obesity |
[3.97, 3.97] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
Santos, S. et al. (2019) ‘Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American and Australian cohorts’, BJOG: An International Journal of Obstetrics and Gynaecology. Blackwell Publishing Ltd, 126(8), pp. 984–995. doi: 10.1111/1471-0528.15661. |
32 |
|||||||
33 |
prob_gest_htn_per_month |
[0.0073, 0.0073] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
34 |
rr_gest_htn_obesity |
[3.31, 3.31] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
35 |
prob_pre_eclampsia_per_month |
[0.0065,0.0065] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
36 |
rr_pre_eclampsia_obesity |
[3.2, 3.2] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
37 |
rr_pre_eclampsia_multiple_pregnancy |
[4.07, 4.07] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
38 |
rr_pre_eclampsia_chronic_htn |
[2.26, 2.26] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
39 |
rr_pre_eclampsia_diabetes_mellitus |
[3.7, 3.7] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
40 |
probs_for_mgh_matrix |
[[0.918, 0.032, 0.05, 0, 0], [0.918, 0.032, 0.05, 0, 0]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
41 |
probs_for_sgh_matrix |
[[0, 0.87, 0, 0.13, 0], [0, 0.87, 0, 0.13, 0]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
42 |
probs_for_mpe_matrix |
[[0, 0, 0.78, 0.22, 0], [0, 0, 0.78, 0.22, 0]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
43 |
probs_for_spe_matrix |
[[0, 0, 0, 0.16, 0.84], [0, 0, 0, 0.16, 0.84]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
44 |
probs_for_ec_matrix |
[[0, 0, 0, 0, 1], [0, 0, 0, 0, 1]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
45 |
prob_severe_pre_eclampsia_death |
[0.018, 0.018] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
46 |
prob_eclampsia_death |
[0.028, 0.03] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
47 |
prob_monthly_death_severe_htn |
[0.0001, 0.0001] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
48 |
|||||||
49 |
prob_placental_abruption_per_month |
[0.0005, 0.0005] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
50 |
rr_placental_abruption_hypertension |
[2.2, 2.2] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
51 |
rr_placental_abruption_previous_cs |
[1.3, 1.3] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
52 |
|||||||
53 |
prob_aph_placenta_praevia |
[0.09, 0.09] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
54 |
prob_aph_placental_abruption |
[0.9, 0.9] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
55 |
prob_mod_sev_aph |
[[0.8, 0.2], [0.8, 0.2]] |
local |
[0, 0] |
[1,1] |
vague prior |
|
56 |
prob_antepartum_haemorrhage_death |
[0.11, 0.04] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
57 |
|||||||
58 |
prob_prom_per_month |
[0.0064, 0.0064] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
59 |
|||||||
60 |
prob_chorioamnionitis |
[0.015, 0.013] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
61 |
prob_antenatal_sepsis_death |
[0.75, 0.49] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
62 |
|||||||
63 |
baseline_prob_early_labour_onset |
[[0.0008, 0.0033,0.017, 0.04], [0.0008, 0.0033,0.017, 0.04]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
64 |
rr_preterm_labour_post_prom |
[5.9, 5.9] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
65 |
rr_preterm_labour_anaemia |
[4.58, 4.58] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
66 |
rr_preterm_labour_malaria |
[3.08, 3.08] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
67 |
rr_preterm_labour_multiple_pregnancy |
[3.44, 3.44] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
68 |
|||||||
69 |
prob_still_birth_per_month |
[0.0031, 0.0026] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
70 |
rr_still_birth_ga_41 |
[2.24, 2.24] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
71 |
rr_still_birth_ga_42 |
[3.88, 3.88] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
72 |
rr_still_birth_ga_>42 |
[6.94, 6.94] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
73 |
rr_still_birth_gest_diab |
[3.91, 3.91] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
74 |
rr_still_birth_diab_mellitus |
[3.52, 3.52] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
75 |
rr_still_birth_maternal_malaria |
[1.81, 1.81] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
76 |
rr_still_birth_maternal_syphilis |
[6.87, 6.87] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
77 |
rr_still_birth_pre_eclampsia |
[4.15, 4.15] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
78 |
rr_still_birth_eclampsia |
[4.15, 4.15] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
79 |
rr_still_birth_gest_htn |
[1.21, 1.21] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
80 |
rr_still_birth_chronic_htn |
[2.32, 2.23] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
81 |
rr_still_birth_aph |
[2.1, 2.1] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
|
82 |
rr_still_birth_chorio |
[2, 2] |
local |
[0.01, 0.01] |
[100,100] |
vague prior |
https://www.tandfonline.com/doi/full/10.1080/14767058.2020.1852206 |
83 |
|||||||
84 |
prob_seek_care_pregnancy_complication |
[0.782, 0.782] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Chinkhumba, J. et al. (2017) ‘Household costs and time to seek care for pregnancy related complications: The role of results-based financing’, PLOS ONE. Public Library of Science, 12(9), p. e0182326. doi: 10.1371/JOURNAL.PONE.0182326. |
85 |
prob_seek_care_pregnancy_loss |
[0.782, 0.782] |
undetermined |
[0, 0] |
[1,1] |
calibration |
Chinkhumba, J. et al. (2017) ‘Household costs and time to seek care for pregnancy related complications: The role of results-based financing’, PLOS ONE. Public Library of Science, 12(9), p. e0182326. doi: 10.1371/JOURNAL.PONE.0182326. |
86 |
prob_seek_care_induction |
[0.2, 0.2] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
87 |
|||||||
88 |
prob_anc1_months_2_to_4 |
[[0.165, 0.165, 0.67], [0.165, 0.364, 0.471]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
National Statistical Office (NSO), ICF Macro. Malawi Demographic and Health Survey 2010. Zomba, Malawi, and Calverton, Maryland, USA: NSO and ICF Macro, 2011. National Statistical Office (NSO) [Malawi], ICF. Malawi Demographic and Health Survey 2015-16. Zomba, Malawi, and Rockville, Maryland, USA: NSO and ICF, 2017 |
89 |
prob_anc1_months_5_to_9 |
[[0.345, 0.245, 0.28, 0.015, 0.015, 0.1], [0.41, 0.25, 0.21, 0.015, 0.015, 0.1]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
As above. |
90 |
odds_early_init_anc4 |
[0.32, 0.58] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
91 |
aor_early_anc4_20_24 |
[1.26, 1.26] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
92 |
aor_early_anc4_25_29 |
[1.44, 1.44] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
93 |
aor_early_anc4_30_34 |
[1.49, 1.49] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
94 |
aor_early_anc4_35_39 |
[1.64, 1.64] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
95 |
aor_early_anc4_40_44 |
[1.51, 1.51] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
96 |
aor_early_anc4_45_49 |
[1.91, 1.91] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
97 |
aor_early_anc4_2010 |
[1.51, 1.51] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
98 |
aor_early_anc4_2015 |
[2.03, 2.03] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
99 |
aor_early_anc4_parity_2_3 |
[0.74, 0.74] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
100 |
aor_early_anc4_parity_4_5 |
[0.65, 0.65] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
101 |
aor_early_anc4_parity_6+ |
[0.61, 0.61] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
102 |
aor_early_anc4_secondary_edu |
[1.24, 1.24] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
103 |
aor_early_anc4_tertiary_edu |
[2.64, 2.64] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
104 |
aor_early_anc4_richest_wealth |
[1.32, 1.32] |
undetermined |
[0.01, 0.01] |
[100,100] |
calibration |
As above. |
105 |
prob_late_initiation_anc4 |
[0.3, 0.29] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
106 |
prob_early_initiation_anc_below4 |
[0.115, 0.101] |
undetermined |
[0, 0] |
[1,1] |
calibration |
As above. |
107 |
prob_early_anc_at_facility_level_1_2 |
[[0.5, 0.5], [0.5, 0.5]] |
undetermined |
[0, 0] |
[1,1] |
calibration |
|
108 |
|||||||
109 |
treatment_effect_ectopic_pregnancy_treatment |
[0.1, 0.1] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
110 |
treatment_effect_post_abortion_care |
[0.2, 0.2] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
111 |
treatment_effect_iron_folic_acid_anaemia |
[0.3, 0.3] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
112 |
treatment_effect_calcium_pre_eclamp |
[0.45, 0.45] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
113 |
treatment_effect_gest_htn_calcium |
[0.65, 0.65] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
114 |
treatment_effect_anti_htns_progression |
[0.49, 0.49] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
115 |
prob_glycaemic_control_diet_exercise |
[0.5, 0.5] |
local |
[0, 0] |
[1,1] |
vague prior |
|
116 |
prob_glycaemic_control_orals |
[0.936, 0.936] |
universal |
[0, 0] |
[1,1] |
vague prior |
Glibenclamide, metformin, and insulin for the treatment of gestational diabetes: a systematic review and meta-analysis. |
117 |
treatment_effect_gdm_case_management |
[0.9, 0.9] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
118 |
treatment_effect_still_birth_food_sups |
[0.6, 0.6] |
universal |
[0, 0] |
[1,1] |
vague prior |
|
119 |
|||||||
120 |
anc_service_structure |
8 |
local |
2 |
20 |
vague prior |
|
121 |
ps_analysis_in_progress |
FALSE |
scenario |
FALSE |
TRUE |
vague prior |
|
122 |
alternative_anc_coverage |
FALSE |
scenario |
FALSE |
TRUE |
vague prior |
|
123 |
alternative_anc_quality |
FALSE |
scenario |
FALSE |
TRUE |
vague prior |
|
124 |
anc_availability_odds |
9 |
scenario |
0.01 |
100 |
vague prior |
|
125 |
anc_availability_probability |
0.9 |
scenario |
0 |
1 |
vague prior |
|
126 |
alternative_ip_anc_quality |
FALSE |
scenario |
FALSE |
TRUE |
vague prior |
|
127 |
ip_anc_availability_probability |
0.9 |
scenario |
0 |
1 |
vague prior |
|
128 |
sens_analysis_min |
FALSE |
scenario |
FALSE |
TRUE |
vague prior |
|
129 |
sens_analysis_max |
FALSE |
scenario |
FALSE |
TRUE |
vague prior |
|
130 |
analysis_year |
2023 |
scenario |
NA |
NA |
NA |
|
131 |
all_interventions |
[“urine_dipstick”, “bp_measurement”, “iron_folic_acid”, “protein_supplement”, “calcium_supplement”, “hb_test”, “syphilis_test”, “syphilis_treatment”, “gdm_test”, “full_blood_count”, “blood_transfusion”, “anti_htn_mgso4”, “abx_for_prom”, “gdm_treatment_diet”, “gdm_treatment_orals”, “gdm_treatment_insulin”, “post_abortion_care_core”, “ectopic_pregnancy_treatment”, “antenatal_corticosteroids”, “birth_kit”, “avd”, “sepsis_treatment”, “amtsl”, “pph_treatment_uterotonics”, “pph_treatment_mrrp”, “caesarean_section_oth_surg”, “fistula_treatment”, “neo_resus”, “kmc”, “neo_sepsis_treatment”] |
scenario |
NA |
NA |
NA |
|
132 |
interventions_under_analysis |
[] |
scenario |
NA |
NA |
NA |
|
133 |
intervention_analysis_availability |
1 |
scenario |
0 |
1 |
vague prior |
|
134 |
interventions_analysis |
FALSE |
scenario |
FALSE |
TRUE |
vague prior |
|
135 |
|||||||
136 |
parameter_update_year |
2015 |
undetermined |
2010 |
2050 |
design decision |
|
137 |
main_polling_frequency_weeks |
1 |
undetermined |
1 |
12 |
polling interval |
|
138 |
hsi_event_window_days |
1 |
undetermined |
1 |
7 |
design decision |
|
139 |
pregnancy_max_days |
280 |
universal |
250 |
300 |
vague prior |
|
140 |
death_delay_days_after_abortion |
7 |
undetermined |
1 |
30 |
design decision |
|
141 |
death_delay_days_after_ectopic_rupture |
3 |
undetermined |
1 |
14 |
design decision |
|
142 |
ectopic_event_min_weeks |
3 |
universal |
1 |
10 |
vague prior |
|
143 |
ectopic_event_max_weeks |
5 |
universal |
1 |
10 |
vague prior |
|
144 |
ectopic_rupture_min_weeks |
2 |
universal |
1 |
10 |
vague prior |
|
145 |
ectopic_rupture_max_weeks |
4 |
universal |
1 |
10 |
vague prior |
|
146 |
week_anc_care_seeking_applied |
8 |
local |
4 |
12 |
vague prior |
|
147 |
week_length_minus_one |
6 |
local |
2 |
12 |
vague prior |
|
148 |
|||||||
149 |
min_age_reproductive |
14 |
universal |
0 |
20 |
vague prior |
|
150 |
max_age_reproductive |
50 |
universal |
0 |
100 |
vague prior |
|
151 |
gestation_week_for_first_risk_application |
3 |
universal |
1 |
10 |
vague prior |
|
152 |
gestation_week_ectopic_limit |
9 |
universal |
5 |
15 |
vague prior |
|
153 |
gestation_week_min_for_glycemic_diabetes |
20 |
universal |
15 |
25 |
vague prior |
|
154 |
preterm_labour_min_weeks |
24 |
universal |
20 |
30 |
vague prior |
|
155 |
preterm_labour_gestation_22_max |
27 |
undetermined |
22 |
32 |
design decision |
|
156 |
preterm_labour_gestation_27_max |
31 |
undetermined |
27 |
36 |
design decision |
|
157 |
preterm_labour_gestation_31_max |
35 |
undetermined |
31 |
39 |
design decision |
|
158 |
preterm_labour_gestation_35_max |
37 |
undetermined |
35 |
40 |
design decision |
|
159 |
|||||||
160 |
anc_month_2_min_week |
5 |
local |
1 |
10 |
vague prior |
|
161 |
anc_month_2_max_week |
8 |
local |
5 |
15 |
vague prior |
|
162 |
anc_month_3_min_week |
9 |
local |
5 |
15 |
vague prior |
|
163 |
anc_month_3_max_week |
13 |
local |
10 |
20 |
vague prior |
|
164 |
anc_month_4_min_week |
14 |
local |
10 |
20 |
vague prior |
|
165 |
anc_month_4_max_week |
17 |
local |
15 |
25 |
vague prior |
|
166 |
anc_month_5_min_week |
18 |
local |
15 |
25 |
vague prior |
|
167 |
anc_month_5_max_week |
22 |
local |
20 |
30 |
vague prior |
|
168 |
anc_month_6_min_week |
23 |
local |
20 |
30 |
vague prior |
|
169 |
anc_month_6_max_week |
27 |
local |
25 |
35 |
vague prior |
|
170 |
anc_month_7_min_week |
28 |
local |
25 |
35 |
vague prior |
|
171 |
anc_month_7_max_week |
31 |
local |
30 |
40 |
vague prior |
|
172 |
anc_month_8_min_week |
32 |
local |
30 |
40 |
vague prior |
|
173 |
anc_month_8_max_week |
35 |
local |
33 |
42 |
vague prior |
|
174 |
anc_month_9_min_week |
36 |
local |
33 |
42 |
vague prior |
|
175 |
anc_month_9_max_week |
40 |
local |
38 |
44 |
vague prior |
|
176 |
earliest_anc_care_seeking_month |
2 |
local |
0 |
5 |
vague prior |
|
177 |