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robj411robj411
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merging scripts
2 parents fc2a51d + 4eaa6dd commit a1b77c1

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Lines changed: 54870 additions & 115 deletions

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‎code/scenarios/accra/master_script_rj.R‎

Lines changed: 5 additions & 5 deletions
Original file line numberDiff line numberDiff line change
@@ -41,7 +41,7 @@ ithim_object$parameters <- ithim_setup_parameters()
4141
ithim_object$outcome$cleaner_fleet <- run_ithim(ithim_object, seed = 1)
4242

4343
## what if: the roads are safer
44-
ithim_object$parameters <- ithim_setup_parameters(SAFETY_SCALAR = 0.5)
44+
ithim_object$parameters <- ithim_setup_parameters(INJURY_REPORTING_RATE = 2)
4545
ithim_object$outcome$safety <- run_ithim(ithim_object, seed = 1)
4646

4747
## what if: the rate of chronic disease doubles
@@ -128,10 +128,10 @@ print(evppi)
128128

129129
environmental_scenarios <- c('now','safer','more_chronic_disease','less_background_AP','less_background_PA')
130130
certainty_parameters <- list(uncertain=list(
131-
safey_scalar = list(now=c(0,log(1.2)), safer=0.5, more_chronic_disease=c(0,log(1.2)), less_background_AP=c(0,log(1.2)),less_background_PA=c(0,log(1.2))),
131+
safey_scalar = list(now=c(8,3), safer=2, more_chronic_disease=c(8,3), less_background_AP=c(8,3), less_background_PA=c(8,3)),
132132
disease_scalar = list(now=c(0,log(1.2)), safer=c(0,log(1.2)), more_chronic_disease=2.0, less_background_AP=c(0,log(1.2)),less_background_PA=c(0,log(1.2))),
133133
background_pm = list(now=c(log(50),log(1.2)),safer=c(log(50),log(1.2)),more_chronic_disease=c(log(50),log(1.2)),less_background_AP=30.625, less_background_PA=c(log(50),log(1.2))),
134-
transport_pm = list(now=c(5,20), safer=c(5,20), more_chronic_disease=c(5,20), less_background_AP=0.3673469, less_background_PA=c(5,20)),
134+
transport_pm = list(now=c(5,20), safer=c(5,20), more_chronic_disease=c(5,20), less_background_AP=0.3673469, less_background_PA=c(5,20)),
135135
background_pa_scalar = list(now=c(0,log(1.2)), safer=c(0,log(1.2)), more_chronic_disease=c(0,log(1.2)), less_background_AP=c(0,log(1.2)),less_background_PA=0.5),
136136
NSAMPLES = 4096,
137137
BUS_WALK_TIME = c(log(5), log(1.2)),
@@ -141,7 +141,7 @@ certainty_parameters <- list(uncertain=list(
141141
PA_DOSE_RESPONSE_QUANTILE = T,
142142
AP_DOSE_RESPONSE_QUANTILE = T
143143
), not_uncertain=list(
144-
safey_scalar = list(now=1, safer=0.5, more_chronic_disease=1, less_background_AP=1, less_background_PA=1),
144+
safey_scalar = list(now=1, safer=2, more_chronic_disease=1, less_background_AP=1, less_background_PA=1),
145145
disease_scalar = list(now=1, safer=1, more_chronic_disease=2.0, less_background_AP=1, less_background_PA=1),
146146
background_pm = list(now=50, safer=50, more_chronic_disease=50, less_background_AP=30.625, less_background_PA=50),
147147
transport_pm = list(now=0.225,safer=0.225,more_chronic_disease=0.225,less_background_AP=0.3673469,less_background_PA=0.225),
@@ -168,7 +168,7 @@ if(file.exists(file_name)){
168168
BUS_WALK_TIME = certainty_parameters[[certainty]]$BUS_WALK_TIME,
169169
MMET_CYCLING = certainty_parameters[[certainty]]$MMET_CYCLING,
170170
MMET_WALKING = certainty_parameters[[certainty]]$MMET_WALKING,
171-
SAFETY_SCALAR = certainty_parameters[[certainty]]$safey_scalar[[environmental_scenario]],
171+
INJURY_REPORTING_RATE = certainty_parameters[[certainty]]$safey_scalar[[environmental_scenario]],
172172
CHRONIC_DISEASE_SCALAR = certainty_parameters[[certainty]]$disease_scalar[[environmental_scenario]],
173173
PM_CONC_BASE = certainty_parameters[[certainty]]$background_pm[[environmental_scenario]],
174174
PM_TRANS_SHARE = certainty_parameters[[certainty]]$transport_pm[[environmental_scenario]],

‎code/scenarios/sao paulo/streamline_travel_survey.R‎

Lines changed: 138 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,138 @@
1+
library(tidyverse)
2+
library(plotly)
3+
4+
# Read sao paulo's travel survey
5+
rd <- read_csv("data/scenarios/sao paulo/SP 2012 travel data.csv")
6+
7+
# Data Dictionary
8+
9+
# ID_PESS = participant ID
10+
# IDADE = age
11+
# SEXO = sex
12+
# N_VIAG = trip ID
13+
# TOT_VIAG = total number of trips per person
14+
# ANDA_O = walking time at origin
15+
# ANDA_D = walking time at destination
16+
# DURACAO = trip duration in minutes
17+
# MODOPRIN = main mode of transport
18+
# 01 to 05 = bus
19+
# 06 = car, driver
20+
# 07 = car, passenger
21+
# 08 = taxi
22+
# 09 to 11 = van / minibus
23+
# 12 = subway
24+
# 13 = train
25+
# 14 = motorbicycle
26+
# 15 = bycicle
27+
# 16 = walking
28+
# 17 = others
29+
# DISTANCIA = trip distance in meters
30+
# ID_ORDEM = row ID
31+
32+
# Rename columns
33+
rd <- rename(rd, participant_id = ID_PESS ,
34+
age = IDADE,
35+
sex = SEXO,
36+
trip_id = N_VIAG,
37+
total_trips = TOT_VIAG,
38+
walking_time_origin = ANDA_O,
39+
walking_time_dest = ANDA_D,
40+
trip_duration = DURACAO,
41+
trip_mode = MODOPRIN,
42+
trip_distance = DISTANCIA,
43+
row_id = ID_ORDEM
44+
45+
)
46+
47+
# Recode modes as strings
48+
mode_df <- data.frame(
49+
mode_int = append(c(1:17), NA),
50+
mode_string = c(rep('bus', 5), 'car_driver',
51+
'car_passenger', 'taxi',
52+
rep('van', 3), 'subway',
53+
'train', 'motorbike',
54+
'bicycle', 'walk', 'others', NA)
55+
56+
57+
58+
)
59+
60+
# Convert numeric to string modes
61+
rd$mode_string <- as.character(mode_df$mode_string[match(rd$trip_mode, mode_df$mode_int)])
62+
rd$trip_mode <- rd$mode_string
63+
rd$mode_string <- NULL
64+
65+
# Covert distance in meters to kms
66+
rd$trip_distance <- rd$trip_distance / 1000
67+
68+
# plotly::ggplotly(
69+
ggplot(rd %>%
70+
filter(!is.na(trip_mode)) %>%
71+
group_by(trip_mode) %>%
72+
summarise(count = n()) %>%
73+
mutate(perc = round(count/sum(count) * 100, 1)),
74+
aes(x = trip_mode, y = perc)) +
75+
geom_bar(position = 'dodge', stat='identity') +
76+
geom_text(aes(label = perc), position = position_dodge(width=0.9), vjust=-0.25, color = "blue") +
77+
theme_minimal() +
78+
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
79+
labs(x = "", y = "percentage(%)", title = "Main Mode distribution - without weights")
80+
# )
81+
82+
sum_total_trip_weight <- sum(rd$FE_VIA, na.rm = T)
83+
84+
# plotly::ggplotly(
85+
ggplot(rd %>%
86+
filter(!is.na(trip_mode)) %>%
87+
group_by(trip_mode) %>%
88+
summarise(sum_trip_weights = sum(FE_VIA)) %>%
89+
mutate(perc = round(sum_trip_weights/sum_total_trip_weight * 100, 1)),
90+
aes(x = trip_mode, y = perc)) +
91+
geom_bar(position = 'dodge', stat='identity') +
92+
geom_text(aes(label = perc), position = position_dodge(width=0.9), vjust=-0.25, color = "blue") +
93+
theme_minimal() +
94+
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
95+
labs(x = "", y = "percentage(%)", title = "Main Mode distribution - with weights")
96+
# )
97+
98+
99+
100+
# Define distance categories
101+
dist_cat <- c("0-6 km", "7-9 km", "10+ km")
102+
103+
# Initialize them
104+
rd$trip_distance_cat <- NULL
105+
rd$trip_distance_cat[rd$trip_distance > 0 & rd$trip_distance < 7] <- dist_cat[1]
106+
rd$trip_distance_cat[rd$trip_distance >= 7 & rd$trip_distance < 10] <- dist_cat[2]
107+
rd$trip_distance_cat[rd$trip_distance >= 10] <- dist_cat[3]
108+
109+
ggplot(rd %>%
110+
filter(!is.na(trip_distance_cat)) %>%
111+
group_by(trip_distance_cat) %>%
112+
summarise(count = n()) %>%
113+
mutate(perc = round(count/sum(count) * 100, 1)),
114+
aes(x = trip_distance_cat, y = perc)) +
115+
geom_bar(position = 'dodge', stat='identity') +
116+
geom_text(aes(label = perc), position = position_dodge(width=0.9), vjust=-0.25, color = "blue") +
117+
theme_minimal() +
118+
theme(axis.text.x = element_text(angle = 90, hjust = 1)) +
119+
labs(x = "", y = "percentage(%)", title = "Main Mode Distance distribution")
120+
121+
122+
# source_modes <- c('Bus', 'Walking')
123+
# target_modes <- c('Private Car')
124+
#
125+
# source_percentages <- c(0.16, 0.49)
126+
#
127+
# tt <- nrow(filter(rdr, ! trip_mode %in% c('99', 'Short Walking')))
128+
#
129+
# rdr <- create_scenario(rdr, scen_name = 'Scenario 1', source_modes = source_modes,
130+
# target_modes = target_modes, source_distance_cats = dist_cat,
131+
# source_trips = c(round(source_percentages[1] * tt),
132+
# round(source_percentages[2] * tt)))
133+
#
134+
# rdfinal <- rbind(rd, rdr)
135+
136+
#rdr %>% filter(rdfinal, scenario == 'Scenario 1' & ! trip_mode %in% c('Short Walking', "99", "Train", "Other", "Unspecified")) %>%
137+
# group_by(trip_mode) %>% summarise(count = n(), pert = n() / nrow(.) * 100)
138+

‎data/demographics/gbd/accra/GBD_Accra.csv‎

Lines changed: 89 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,89 @@
1+
measure,location,sex,age,cause,metric,year,value_ghana,pop_ghana,pop_gama,ratio,burden,min_age,max_age
2+
Deaths,Ghana,Female,15-49,All causes,Number,2010,24343.73164,6360535,1160760,0.182494159,4442.588826,15,49
3+
Deaths,Ghana,Female,15-49,Breast cancer,Number,2010,327.5694206,6360535,1160760,0.182494159,59.77950584,15,49
4+
Deaths,Ghana,Female,15-49,Cardiovascular diseases,Number,2010,2539.31918,6360535,1160760,0.182494159,463.4109175,15,49
5+
Deaths,Ghana,Female,15-49,Chronic respiratory diseases,Number,2010,270.4420753,6360535,1160760,0.182494159,49.35409902,15,49
6+
Deaths,Ghana,Female,15-49,Colon and rectum cancer,Number,2010,53.65346137,6360535,1160760,0.182494159,9.791443296,15,49
7+
Deaths,Ghana,Female,15-49,Diabetes mellitus,Number,2010,225.5656002,6360535,1160760,0.182494159,41.16440446,15,49
8+
Deaths,Ghana,Female,15-49,Ischemic heart disease,Number,2010,771.9498565,6360535,1160760,0.182494159,140.8763397,15,49
9+
Deaths,Ghana,Female,15-49,Neoplasms,Number,2010,1814.760157,6360535,1160760,0.182494159,331.1831282,15,49
10+
Deaths,Ghana,Female,15-49,Road injuries,Number,2010,410.3362569,6360535,1160760,0.182494159,74.88397,15,49
11+
Deaths,Ghana,Female,15-49,Stroke,Number,2010,1020.504389,6360535,1160760,0.182494159,186.23609,15,49
12+
Deaths,Ghana,Female,15-49,"Tracheal, bronchus, and lung cancer",Number,2010,33.72502749,6360535,1160760,0.182494159,6.15462052,15,49
13+
YLLs (Years of Life Lost),Ghana,Female,15-49,All causes,Number,2010,1261269.755,6360535,1160760,0.182494159,230174.3629,15,49
14+
YLLs (Years of Life Lost),Ghana,Female,15-49,Breast cancer,Number,2010,15021.67216,6360535,1160760,0.182494159,2741.367424,15,49
15+
YLLs (Years of Life Lost),Ghana,Female,15-49,Cardiovascular diseases,Number,2010,119883.5432,6360535,1160760,0.182494159,21878.04636,15,49
16+
YLLs (Years of Life Lost),Ghana,Female,15-49,Chronic respiratory diseases,Number,2010,13512.81441,6360535,1160760,0.182494159,2466.009698,15,49
17+
YLLs (Years of Life Lost),Ghana,Female,15-49,Colon and rectum cancer,Number,2010,2454.957295,6360535,1160760,0.182494159,448.0153663,15,49
18+
YLLs (Years of Life Lost),Ghana,Female,15-49,Diabetes mellitus,Number,2010,10655.20587,6360535,1160760,0.182494159,1944.512832,15,49
19+
YLLs (Years of Life Lost),Ghana,Female,15-49,Ischemic heart disease,Number,2010,34986.45097,6360535,1160760,0.182494159,6384.822937,15,49
20+
YLLs (Years of Life Lost),Ghana,Female,15-49,Neoplasms,Number,2010,86388.53119,6360535,1160760,0.182494159,15765.40232,15,49
21+
YLLs (Years of Life Lost),Ghana,Female,15-49,Road injuries,Number,2010,22905.50273,6360535,1160760,0.182494159,4180.120451,15,49
22+
YLLs (Years of Life Lost),Ghana,Female,15-49,Stroke,Number,2010,46998.07728,6360535,1160760,0.182494159,8576.874576,15,49
23+
YLLs (Years of Life Lost),Ghana,Female,15-49,"Tracheal, bronchus, and lung cancer",Number,2010,1618.219229,6360535,1160760,0.182494159,295.3155569,15,49
24+
Deaths,Ghana,Female,50-69,All causes,Number,2010,20313.74774,1110037,183823,0.165600654,3363.969907,50,69
25+
Deaths,Ghana,Female,50-69,Breast cancer,Number,2010,424.5987691,1110037,183823,0.165600654,70.31383376,50,69
26+
Deaths,Ghana,Female,50-69,Cardiovascular diseases,Number,2010,7593.623275,1110037,183823,0.165600654,1257.508979,50,69
27+
Deaths,Ghana,Female,50-69,Chronic respiratory diseases,Number,2010,642.2148221,1110037,183823,0.165600654,106.3511944,50,69
28+
Deaths,Ghana,Female,50-69,Colon and rectum cancer,Number,2010,129.5896309,1110037,183823,0.165600654,21.4601276,50,69
29+
Deaths,Ghana,Female,50-69,Diabetes mellitus,Number,2010,739.5966652,1110037,183823,0.165600654,122.4776913,50,69
30+
Deaths,Ghana,Female,50-69,Ischemic heart disease,Number,2010,2962.841258,1110037,183823,0.165600654,490.6484494,50,69
31+
Deaths,Ghana,Female,50-69,Neoplasms,Number,2010,2986.370732,1110037,183823,0.165600654,494.5449457,50,69
32+
Deaths,Ghana,Female,50-69,Road injuries,Number,2010,271.1715061,1110037,183823,0.165600654,44.9061787,50,69
33+
Deaths,Ghana,Female,50-69,Stroke,Number,2010,3376.69441,1110037,183823,0.165600654,559.1828019,50,69
34+
Deaths,Ghana,Female,50-69,"Tracheal, bronchus, and lung cancer",Number,2010,82.92825784,1110037,183823,0.165600654,13.73297372,50,69
35+
YLLs (Years of Life Lost),Ghana,Female,50-69,All causes,Number,2010,562997.7339,1110037,183823,0.165600654,93232.79281,50,69
36+
YLLs (Years of Life Lost),Ghana,Female,50-69,Breast cancer,Number,2010,12220.38651,1110037,183823,0.165600654,2023.703996,50,69
37+
YLLs (Years of Life Lost),Ghana,Female,50-69,Cardiovascular diseases,Number,2010,205647.6352,1110037,183823,0.165600654,34055.38284,50,69
38+
YLLs (Years of Life Lost),Ghana,Female,50-69,Chronic respiratory diseases,Number,2010,17188.21183,1110037,183823,0.165600654,2846.379116,50,69
39+
YLLs (Years of Life Lost),Ghana,Female,50-69,Colon and rectum cancer,Number,2010,3626.634274,1110037,183823,0.165600654,600.5730068,50,69
40+
YLLs (Years of Life Lost),Ghana,Female,50-69,Diabetes mellitus,Number,2010,19724.86563,1110037,183823,0.165600654,3266.450644,50,69
41+
YLLs (Years of Life Lost),Ghana,Female,50-69,Ischemic heart disease,Number,2010,79852.76646,1110037,183823,0.165600654,13223.67033,50,69
42+
YLLs (Years of Life Lost),Ghana,Female,50-69,Neoplasms,Number,2010,83646.15563,1110037,183823,0.165600654,13851.85806,50,69
43+
YLLs (Years of Life Lost),Ghana,Female,50-69,Road injuries,Number,2010,7607.698182,1110037,183823,0.165600654,1259.839793,50,69
44+
YLLs (Years of Life Lost),Ghana,Female,50-69,Stroke,Number,2010,91636.42418,1110037,183823,0.165600654,15175.05175,50,69
45+
YLLs (Years of Life Lost),Ghana,Female,50-69,"Tracheal, bronchus, and lung cancer",Number,2010,2279.366686,1110037,183823,0.165600654,377.4646134,50,69
46+
Deaths,Ghana,Male,15-49,All causes,Number,2010,26807.52659,5847716,1070324,0.18303291,4906.659606,15,49
47+
Deaths,Ghana,Male,15-49,Breast cancer,Number,2010,1.882513489,5847716,1070324,0.18303291,0.344561922,15,49
48+
Deaths,Ghana,Male,15-49,Cardiovascular diseases,Number,2010,1988.456034,5847716,1070324,0.18303291,363.9528946,15,49
49+
Deaths,Ghana,Male,15-49,Chronic respiratory diseases,Number,2010,422.6983636,5847716,1070324,0.18303291,77.3677116,15,49
50+
Deaths,Ghana,Male,15-49,Colon and rectum cancer,Number,2010,71.40764608,5847716,1070324,0.18303291,13.06994927,15,49
51+
Deaths,Ghana,Male,15-49,Diabetes mellitus,Number,2010,302.8505648,5847716,1070324,0.18303291,55.43162022,15,49
52+
Deaths,Ghana,Male,15-49,Ischemic heart disease,Number,2010,777.48402,5847716,1070324,0.18303291,142.3051628,15,49
53+
Deaths,Ghana,Male,15-49,Neoplasms,Number,2010,1392.639853,5847716,1070324,0.18303291,254.8989251,15,49
54+
Deaths,Ghana,Male,15-49,Road injuries,Number,2010,1247.73883,5847716,1070324,0.18303291,228.3772692,15,49
55+
Deaths,Ghana,Male,15-49,Stroke,Number,2010,755.5130541,5847716,1070324,0.18303291,138.2837529,15,49
56+
Deaths,Ghana,Male,15-49,"Tracheal, bronchus, and lung cancer",Number,2010,47.26735974,5847716,1070324,0.18303291,8.651482408,15,49
57+
YLLs (Years of Life Lost),Ghana,Male,15-49,All causes,Number,2010,1399332.532,5847716,1070324,0.18303291,256123.9056,15,49
58+
YLLs (Years of Life Lost),Ghana,Male,15-49,Breast cancer,Number,2010,92.91421507,5847716,1070324,0.18303291,17.00635918,15,49
59+
YLLs (Years of Life Lost),Ghana,Male,15-49,Cardiovascular diseases,Number,2010,96711.38686,5847716,1070324,0.18303291,17701.36658,15,49
60+
YLLs (Years of Life Lost),Ghana,Male,15-49,Chronic respiratory diseases,Number,2010,21782.99812,5847716,1070324,0.18303291,3987.005538,15,49
61+
YLLs (Years of Life Lost),Ghana,Male,15-49,Colon and rectum cancer,Number,2010,3553.729048,5847716,1070324,0.18303291,650.4493695,15,49
62+
YLLs (Years of Life Lost),Ghana,Male,15-49,Diabetes mellitus,Number,2010,14271.5305,5847716,1070324,0.18303291,2612.15976,15,49
63+
YLLs (Years of Life Lost),Ghana,Male,15-49,Ischemic heart disease,Number,2010,35955.05942,5847716,1070324,0.18303291,6580.95916,15,49
64+
YLLs (Years of Life Lost),Ghana,Male,15-49,Neoplasms,Number,2010,72182.94456,5847716,1070324,0.18303291,13211.85441,15,49
65+
YLLs (Years of Life Lost),Ghana,Male,15-49,Road injuries,Number,2010,70406.70945,5847716,1070324,0.18303291,12886.74492,15,49
66+
YLLs (Years of Life Lost),Ghana,Male,15-49,Stroke,Number,2010,36472.65235,5847716,1070324,0.18303291,6675.6957,15,49
67+
YLLs (Years of Life Lost),Ghana,Male,15-49,"Tracheal, bronchus, and lung cancer",Number,2010,2169.835312,5847716,1070324,0.18303291,397.1512717,15,49
68+
Deaths,Ghana,Male,50-69,All causes,Number,2010,21430.62934,1016476,162380,0.159747634,3423.492328,50,69
69+
Deaths,Ghana,Male,50-69,Breast cancer,Number,2010,4.873413536,1016476,162380,0.159747634,0.778516281,50,69
70+
Deaths,Ghana,Male,50-69,Cardiovascular diseases,Number,2010,4106.82936,1016476,162380,0.159747634,656.0562727,50,69
71+
Deaths,Ghana,Male,50-69,Chronic respiratory diseases,Number,2010,630.619454,1016476,162380,0.159747634,100.7399656,50,69
72+
Deaths,Ghana,Male,50-69,Colon and rectum cancer,Number,2010,143.9969658,1016476,162380,0.159747634,23.00317456,50,69
73+
Deaths,Ghana,Male,50-69,Diabetes mellitus,Number,2010,1091.413684,1016476,162380,0.159747634,174.3507535,50,69
74+
Deaths,Ghana,Male,50-69,Ischemic heart disease,Number,2010,2054.148571,1016476,162380,0.159747634,328.1453737,50,69
75+
Deaths,Ghana,Male,50-69,Neoplasms,Number,2010,2300.938789,1016476,162380,0.159747634,367.569527,50,69
76+
Deaths,Ghana,Male,50-69,Road injuries,Number,2010,471.302737,1016476,162380,0.159747634,75.28949704,50,69
77+
Deaths,Ghana,Male,50-69,Stroke,Number,2010,1583.317636,1016476,162380,0.159747634,252.9312459,50,69
78+
Deaths,Ghana,Male,50-69,"Tracheal, bronchus, and lung cancer",Number,2010,258.6730484,1016476,162380,0.159747634,41.32240741,50,69
79+
YLLs (Years of Life Lost),Ghana,Male,50-69,All causes,Number,2010,596665.3205,1016476,162380,0.159747634,95315.87312,50,69
80+
YLLs (Years of Life Lost),Ghana,Male,50-69,Breast cancer,Number,2010,129.9428645,1016476,162380,0.159747634,20.75806513,50,69
81+
YLLs (Years of Life Lost),Ghana,Male,50-69,Cardiovascular diseases,Number,2010,112417.7411,1016476,162380,0.159747634,17958.46814,50,69
82+
YLLs (Years of Life Lost),Ghana,Male,50-69,Chronic respiratory diseases,Number,2010,17036.16221,1016476,162380,0.159747634,2721.486602,50,69
83+
YLLs (Years of Life Lost),Ghana,Male,50-69,Colon and rectum cancer,Number,2010,3908.659997,1016476,162380,0.159747634,624.3991858,50,69
84+
YLLs (Years of Life Lost),Ghana,Male,50-69,Diabetes mellitus,Number,2010,29322.2447,1016476,162380,0.159747634,4684.159209,50,69
85+
YLLs (Years of Life Lost),Ghana,Male,50-69,Ischemic heart disease,Number,2010,55888.57813,1016476,162380,0.159747634,8928.068112,50,69
86+
YLLs (Years of Life Lost),Ghana,Male,50-69,Neoplasms,Number,2010,62292.21052,1016476,162380,0.159747634,9951.033234,50,69
87+
YLLs (Years of Life Lost),Ghana,Male,50-69,Road injuries,Number,2010,13473.4182,1016476,162380,0.159747634,2152.346677,50,69
88+
YLLs (Years of Life Lost),Ghana,Male,50-69,Stroke,Number,2010,43715.95605,1016476,162380,0.159747634,6983.520538,50,69
89+
YLLs (Years of Life Lost),Ghana,Male,50-69,"Tracheal, bronchus, and lung cancer",Number,2010,6931.135443,1016476,162380,0.159747634,1107.232487,50,69

‎data/dose_response/disease_outcomes_lookup.csv‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1,5 +1,5 @@
11
GBD_name,acronym,air_pollution,physical_activity,ap_acronym,pa_acronym
2-
All causes,ac,0,1,,all_cause_mortality
2+
All causes,ac,0,1,,all_cause
33
Ischemic heart disease,ihd,1,1,cvd_ihd,coronary_heart_disease
44
Neoplasms,neo,0,1,,total_cancer
55
"Tracheal, bronchus, and lung cancer",lc,1,1,neo_lung,lung_cancer

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