Schisto (.xlsx)
Download original .xlsx file from GitHub
Parameters
Parameter |
Value |
Reference |
Area |
|
---|---|---|---|---|
0 |
delay_till_hsi_a_repeated |
5 |
assumption |
HSI |
1 |
delay_till_hsi_b_repeated |
20 |
assumption |
HSI |
2 |
prob_sent_to_lab_test_children |
0.9 |
assumption |
HSI |
3 |
prob_sent_to_lab_test_adults |
0.6 |
assumption |
HSI |
4 |
PZQ_efficacy |
1 |
assumption |
HSI |
5 |
high_intensity_threshold_haematobium |
20 |
WHO |
transmission model |
6 |
high_intensity_threshold_PSAC_haematobium |
5 |
assumption |
transmission model |
7 |
low_intensity_threshold_haematobium |
2 |
assumption |
transmission model |
8 |
worms_fecundity_haematobium |
0.005 |
Truscott et al |
transmission model |
9 |
worm_lifespan_haematobium |
6 |
Anderson et al 2016 |
transmission model |
10 |
beta_PSAC_haematobium |
0.3 |
Truscott et al |
transmission model |
11 |
beta_SAC_haematobium |
1 |
Truscott et al |
transmission model |
12 |
beta_Adults_haematobium |
0.05 |
Truscott et al |
transmission model |
13 |
high_intensity_threshold_mansoni |
46 |
WHO |
transmission model |
14 |
high_intensity_threshold_PSAC_mansoni |
20 |
assumption |
transmission model |
15 |
low_intensity_threshold_mansoni |
2 |
assumption |
transmission model |
16 |
worms_fecundity_mansoni |
0.0006 |
Chan et al |
transmission model |
17 |
worm_lifespan_mansoni |
4 |
Anderson et al 2017 |
transmission model |
18 |
beta_PSAC_mansoni |
0.3 |
Truscott et al |
transmission model |
19 |
beta_SAC_mansoni |
1 |
Truscott et al |
transmission model |
20 |
beta_Adults_mansoni |
0.05 |
Truscott et al |
transmission model |
Symptoms
Symptom |
HSB_mapped_symptom |
Prevalence |
Reference |
Infection_type |
|
---|---|---|---|---|---|
0 |
anemia |
other |
0.9 |
assumption |
both |
1 |
fever |
fever |
0.3 |
assumption |
both |
2 |
haematuria |
other |
0.625 |
van der Werf et al., 2003 |
haematobium |
3 |
hydronephrosis |
stomach_ache |
0.083 |
van der Werf et al., 2003 |
haematobium |
4 |
dysuria |
stomach_ache |
0.2857 |
van der Werf et al., 2003 |
haematobium |
5 |
bladder_pathology |
stomach_ache |
0.7857 |
van der Werf et al., 2003 |
haematobium |
6 |
ascites |
stomach_ache |
0.0054 |
van der Werf et al., 2003 |
mansoni |
7 |
diarrhoea |
diarrhoea |
0.0144 |
van der Werf et al., 2003 |
mansoni |
8 |
vomiting |
vomit |
0.0172 |
van der Werf et al., 2003 |
mansoni |
9 |
hepatomegaly |
stomach_ache |
0.1574 |
van der Werf et al., 2003 |
mansoni |
DALYs
TLO_Sequela_Code |
Sequela |
Health state name |
Health state lay description |
disability weight |
lower |
uppper |
|
---|---|---|---|---|---|---|---|
0 |
254 |
Mild diarrhea due to schistosomiasis |
Diarrhea, mild |
has diarrhea three or more times a day with occasional discomfort in the belly. |
0.074 |
0.049 |
0.104 |
1 |
255 |
Severe anemia due to schistosomiasis |
Anemia, severe |
feels very weak, tired and short of breath, and has problems with activities that require physical effort or deep concentration. |
0.149 |
0.101 |
0.209 |
2 |
256 |
Hematemesis due to schistosomiasis |
Gastric bleeding |
vomits blood and feels nauseous. |
0.325 |
0.209 |
0.462 |
3 |
257 |
Hepatomegaly due to schistosomiasis |
Abdominopelvic problem, mild |
has some pain in the belly that causes nausea but does not interfere with daily activities. |
0.011 |
0.005 |
0.021 |
4 |
258 |
Moderate anemia due to schistosomiasis |
Anemia, moderate |
feels moderate fatigue, weakness, and shortness of breath after exercise, making daily activities more difficult. |
0.052 |
0.034 |
0.076 |
5 |
259 |
Mild anemia due to schistosomiasis |
Anemia, mild |
feels slightly tired and weak at times, but this does not interfere with normal daily activities. |
0.004 |
0.001 |
0.008 |
6 |
260 |
Hydronephrosis due to schistosomiasis |
Abdominopelvic problem, mild |
has some pain in the belly that causes nausea but does not interfere with daily activities. |
0.011 |
0.005 |
0.021 |
7 |
261 |
Ascites due to schistosomiasis |
Abdominopelvic problem, moderate |
has pain in the belly and feels nauseous. The person has difficulties with daily activities. |
0.114 |
0.078 |
0.159 |
8 |
262 |
Mild schistosomiasis |
Infectious disease, acute episode, mild |
has a low fever and mild discomfort , but no difficulty with daily activities. |
0.006 |
0.002 |
0.012 |
9 |
263 |
Dysuria due to schistosomiasis |
Abdominopelvic problem, mild |
has some pain in the belly that causes nausea but does not interfere with daily activities. |
0.011 |
0.005 |
0.021 |
10 |
264 |
Bladder pathology due to schistosomiasis |
Abdominopelvic problem, mild |
has some pain in the belly that causes nausea but does not interfere with daily activities. |
0.011 |
0.005 |
0.021 |
District_Params_haematobium
District |
Region |
Reservoir |
R0_value |
alpha_value |
Reference |
Prevalence |
Reference_prevalence |
|
---|---|---|---|---|---|---|---|---|
0 |
Balaka |
Southern |
0 |
1.12425 |
0.061841 |
fitted |
0.154602 |
2011 SCI / MoH, ESPEN |
1 |
Blantyre |
Southern |
1.87216 |
1.12956 |
0.107616 |
fitted |
0.26904 |
rural, 2011 SCI / MoH. ESPEN |
2 |
Blantyre City |
Southern |
0 |
1.1253 |
0.04664 |
fitted |
0.1166 |
2011 SCI / MoH |
3 |
Chikwawa |
Southern |
0 |
1.1248 |
0.0805 |
fitted |
0.20125 |
2008 WFP / MoH, ESPEN |
4 |
Chiradzulu |
Southern |
2.81222 |
1.14141 |
0.1377 |
fitted |
0.34425 |
2010 MoH, ESPEN |
5 |
Chitipa |
Northern |
0 |
1.12577 |
0.08905 |
fitted |
0.222625 |
2010 MoH, ESPEN |
6 |
Dedza |
Central |
0 |
1.12423 |
0.0698 |
fitted |
0.1745 |
2010 MoH, ESPEN |
7 |
Dowa |
Central |
0 |
0 |
0 |
fitted |
0 |
ESPEN |
8 |
Karonga |
Northern |
0 |
1.12421 |
0.0643 |
fitted |
0.16075 |
2010 COM |
9 |
Kasungu |
Central |
0 |
1.12471 |
0.0793714 |
fitted |
0.198429 |
2008 WFP/MoH, 2010 MoH, ESPEN |
10 |
Likoma |
Northern |
0 |
1.13144 |
0.114 |
fitted |
0.285 |
ESPEN |
11 |
Lilongwe |
Central |
0 |
1.12704 |
0.0967167 |
fitted |
0.241792 |
2008 WFP / MoH, Jemu SK et al, 2011 SCI/MoH, , ESPEN |
12 |
Lilongwe City |
Central |
0 |
1.12437 |
0.05852 |
fitted |
0.1463 |
2011 SCI / MoH |
13 |
Machinga |
Southern |
0 |
1.12429 |
0.0718 |
fitted |
0.1795 |
2010 MoH, ESPEN |
14 |
Mangochi |
Southern |
0 |
1.12421 |
0.0643333 |
fitted |
0.160833 |
ESPEN |
15 |
Mchinji |
Central |
0 |
1.12448 |
0.076 |
fitted |
0.19 |
2010 MoH, ESPEN |
16 |
Mulanje |
Southern |
3.05 |
1.14496 |
0.144 |
fitted |
0.36 |
2010 MoH, ESPEN |
17 |
Mwanza |
Southern |
0 |
1.12506 |
0.0832457 |
fitted |
0.208114 |
2011 SCI / MoH, ESPEN |
18 |
Mzimba |
Northern |
0 |
1.12536 |
0.046129 |
fitted |
0.115323 |
2010 MoH, ESPEN |
19 |
Mzuzu City |
Northern |
0 |
1.13018 |
0.02004 |
fitted |
0.0501 |
2011 SCI / MoH |
20 |
Neno |
Southern |
0 |
1.12631 |
0.03896 |
fitted |
0.0974 |
2011 SCI / MoH, ESPEN |
21 |
Nkhata Bay |
Northern |
0 |
1.13233 |
0.01225 |
fitted |
0.030625 |
ESPEN |
22 |
Nkhotakota |
Central |
2.19995 |
1.13321 |
0.119188 |
fitted |
0.297971 |
2010 MoH, ESPEN |
23 |
Nsanje |
Southern |
2.39017 |
1.13559 |
0.125333 |
fitted |
0.313333 |
2008 WFP / MoH, ESPEN |
24 |
Ntcheu |
Central |
0 |
1.12421 |
0.0684143 |
fitted |
0.171036 |
2008 WFP/MoH, 2010 MoH, ESPEN |
25 |
Ntchisi |
Central |
0 |
1.12433 |
0.073 |
fitted |
0.1825 |
ESPEN |
26 |
Phalombe |
Southern |
5.31723 |
1.1841 |
0.188 |
fitted |
0.47 |
ESPEN |
27 |
Rumphi |
Northern |
0 |
0 |
0 |
fitted |
0 |
ESPEN |
28 |
Salima |
Central |
0 |
1.12873 |
0.0261176 |
fitted |
0.0652941 |
ESPEN |
29 |
Thyolo |
Southern |
0 |
1.12421 |
0.06865 |
fitted |
0.171625 |
2010 MoH, ESPEN |
30 |
Zomba |
Southern |
0 |
1.1262 |
0.0397333 |
fitted |
0.0993333 |
ESPEN |
31 |
Zomba City |
Southern |
0 |
1.1262 |
0.0397333 |
fitted |
0.0993333 |
ESPEN copy from Zomba |
District_Params_mansoni
District |
Region |
Reservoir |
R0_value |
alpha_value |
Reference |
Prevalence |
Reference_prevalence |
|
---|---|---|---|---|---|---|---|---|
0 |
Balaka |
Southern |
0.0103949 |
3.28891 |
0.0528333 |
fitted |
0.00944444 |
ESPEN |
1 |
Blantyre |
Southern |
0.0796066 |
1.46175 |
0.0652093 |
fitted |
0.0506977 |
ESPEN |
2 |
Blantyre City |
Southern |
0.0796066 |
1.46175 |
0.0652093 |
fitted |
0.0506977 |
copy from Blantyre |
3 |
Chikwawa |
Southern |
0.0243277 |
2.18968 |
0.056 |
fitted |
0.02 |
ESPEN |
4 |
Chiradzulu |
Southern |
0.158777 |
1.26817 |
0.07445 |
fitted |
0.0815 |
ESPEN |
5 |
Chitipa |
Northern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
6 |
Dedza |
Central |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
7 |
Dowa |
Central |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
8 |
Karonga |
Northern |
0.0891927 |
1.42196 |
0.0665 |
fitted |
0.055 |
average of all mansoni in Espen |
9 |
Kasungu |
Central |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
10 |
Likoma |
Northern |
1.12359 |
1.06177 |
0.125 |
fitted |
0.25 |
ESPEN |
11 |
Lilongwe |
Central |
0.187713 |
1.23539 |
0.0772459 |
fitted |
0.0908197 |
ESPEN |
12 |
Lilongwe City |
Central |
0.187713 |
1.23539 |
0.0772459 |
fitted |
0.0908197 |
copy from Lilongwe |
13 |
Machinga |
Southern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
14 |
Mangochi |
Southern |
0.114042 |
1.34757 |
0.0695882 |
fitted |
0.0652941 |
ESPEN |
15 |
Mchinji |
Central |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
16 |
Mulanje |
Southern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
17 |
Mwanza |
Southern |
0.0411611 |
1.78166 |
0.0592308 |
fitted |
0.0307692 |
ESPEN |
18 |
Mzimba |
Northern |
0.0236342 |
2.21729 |
0.0558548 |
fitted |
0.0195161 |
ESPEN |
19 |
Mzuzu City |
Northern |
0.0891927 |
1.42196 |
0.0665 |
fitted |
0.055 |
average of all mansoni in Espen |
20 |
Neno |
Southern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
21 |
Nkhata Bay |
Northern |
0.0377989 |
1.83686 |
0.058625 |
fitted |
0.02875 |
ESPEN |
22 |
Nkhotakota |
Central |
0.172451 |
1.25145 |
0.0758 |
fitted |
0.086 |
ESPEN |
23 |
Nsanje |
Southern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
24 |
Ntcheu |
Central |
0.0194311 |
2.42068 |
0.05495 |
fitted |
0.0165 |
ESPEN |
25 |
Ntchisi |
Central |
0.203152 |
1.22138 |
0.07865 |
fitted |
0.0955 |
ESPEN |
26 |
Phalombe |
Southern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
27 |
Rumphi |
Northern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
28 |
Salima |
Central |
0.190781 |
1.23244 |
0.0775294 |
fitted |
0.0917647 |
ESPEN |
29 |
Thyolo |
Southern |
0 |
0 |
0.05 |
fitted |
0 |
ESPEN |
30 |
Zomba |
Southern |
0.172451 |
1.25145 |
0.0758 |
fitted |
0.086 |
ESPEN |
31 |
Zomba City |
Southern |
0.172451 |
1.25145 |
0.0758 |
fitted |
0.086 |
copy from Zomba |
MDA_historical_Coverage
District |
Region |
Year |
Coverage PSAC |
Coverage SAC |
Coverage Adults |
Reference |
|
---|---|---|---|---|---|---|---|
0 |
Blantyre |
Southern |
2015 |
0 |
0.78 |
0 |
data |
1 |
Blantyre |
Southern |
2016 |
0 |
0.85 |
0.44 |
interpolated, mean of 2015 and 2017 |
2 |
Blantyre |
Southern |
2017 |
0 |
0.92 |
0.88 |
data |
3 |
Blantyre |
Southern |
2018 |
0 |
0.87 |
0.88 |
data |
4 |
Chiradzulu |
Southern |
2015 |
0 |
0.73 |
0.02 |
data |
5 |
Chiradzulu |
Southern |
2016 |
0 |
0.8 |
0.155 |
interpolated, mean of 2015 and 2017 |
6 |
Chiradzulu |
Southern |
2017 |
0 |
0.87 |
0.29 |
value over 100% in the data for SAC so instead we use 2018 value |
7 |
Chiradzulu |
Southern |
2018 |
0 |
0.87 |
0.9 |
data |
8 |
Mulanje |
Southern |
2015 |
0 |
0.48 |
0.96 |
data |
9 |
Mulanje |
Southern |
2016 |
0 |
0.605 |
0.96 |
interpolated, mean of 2015 and 2017 |
10 |
Mulanje |
Southern |
2017 |
0 |
0.73 |
0.96 |
values over 100% in the data so instead we used values from 2018 |
11 |
Mulanje |
Southern |
2018 |
0 |
0.73 |
0.96 |
value over 100% in the data for Adults so instead we use value for 2015 |
12 |
Nkhotakota |
Central |
2015 |
0 |
0.5 |
0.01 |
value over 100% in the data for SAC so instead we used 0.5 |
13 |
Nkhotakota |
Central |
2016 |
0 |
0.675 |
0.22 |
interpolated, mean of 2015 and 2017 |
14 |
Nkhotakota |
Central |
2017 |
0 |
0.85 |
0.43 |
value over 100% in the data for SAC so instead we used 2018 value |
15 |
Nkhotakota |
Central |
2018 |
0 |
0.85 |
0.89 |
data |
16 |
Nsanje |
Southern |
2015 |
0 |
0.75 |
0 |
data |
17 |
Nsanje |
Southern |
2016 |
0 |
0.795 |
0.41 |
interpolated, mean of 2015 and 2017 |
18 |
Nsanje |
Southern |
2017 |
0 |
0.84 |
0.82 |
data |
19 |
Nsanje |
Southern |
2018 |
0 |
0.9 |
0.88 |
data |
20 |
Phalombe |
Southern |
2015 |
0 |
0.92 |
0.04 |
data |
21 |
Phalombe |
Southern |
2016 |
0 |
0.88 |
0.445 |
interpolated, mean of 2015 and 2017 |
22 |
Phalombe |
Southern |
2017 |
0 |
0.84 |
0.85 |
data |
23 |
Phalombe |
Southern |
2018 |
0 |
0.86 |
0.92 |
data |
24 |
Balaka |
Southern |
2015 |
0 |
0.43 |
0 |
data |
25 |
Balaka |
Southern |
2016 |
0 |
0.65 |
0.44 |
interpolated, mean of 2015 and 2017 |
26 |
Balaka |
Southern |
2017 |
0 |
0.87 |
0.88 |
data |
27 |
Balaka |
Southern |
2018 |
0 |
0.83 |
0.89 |
data |
28 |
Blantyre City |
Southern |
2015 |
0 |
0.78 |
0 |
data |
29 |
Blantyre City |
Southern |
2016 |
0 |
0.85 |
0.44 |
interpolated, mean of 2015 and 2017 |
30 |
Blantyre City |
Southern |
2017 |
0 |
0.92 |
0.88 |
data |
31 |
Blantyre City |
Southern |
2018 |
0 |
0.87 |
0.88 |
data |
32 |
Chikwawa |
Southern |
2015 |
0 |
0.65 |
0 |
data |
33 |
Chikwawa |
Southern |
2016 |
0 |
0.765 |
0.49 |
interpolated, mean of 2015 and 2017 |
34 |
Chikwawa |
Southern |
2017 |
0 |
0.88 |
0.98 |
data |
35 |
Chikwawa |
Southern |
2018 |
0 |
0.74 |
0.52 |
data |
36 |
Chitipa |
Northern |
2015 |
0 |
0.62 |
0 |
data |
37 |
Chitipa |
Northern |
2016 |
0 |
0.74 |
0.345 |
interpolated, mean of 2015 and 2017 |
38 |
Chitipa |
Northern |
2017 |
0 |
0.86 |
0.69 |
errors in the data so instead we use2018 data |
39 |
Chitipa |
Northern |
2018 |
0 |
0.86 |
0.69 |
data |
40 |
Dedza |
Central |
2015 |
0 |
0.72 |
0 |
data |
41 |
Dedza |
Central |
2016 |
0 |
0.81 |
0.445 |
interpolated, mean of 2015 and 2017 |
42 |
Dedza |
Central |
2017 |
0 |
0.9 |
0.89 |
data |
43 |
Dedza |
Central |
2018 |
0 |
0.95 |
0.95 |
data |
44 |
Dowa |
Central |
2015 |
0 |
0.85 |
0.02 |
data |
45 |
Dowa |
Central |
2016 |
0 |
0.85 |
0.435 |
interpolated, mean of 2015 and 2017 |
46 |
Dowa |
Central |
2017 |
0 |
0.85 |
0.85 |
data |
47 |
Dowa |
Central |
2018 |
0 |
0.8 |
0.77 |
data |
48 |
Karonga |
Northern |
2015 |
0 |
0.97 |
0 |
data |
49 |
Karonga |
Northern |
2016 |
0 |
0.91 |
0.435 |
interpolated, mean of 2015 and 2017 |
50 |
Karonga |
Northern |
2017 |
0 |
0.85 |
0.87 |
data |
51 |
Karonga |
Northern |
2018 |
0 |
0.89 |
0.84 |
data |
52 |
Kasungu |
Central |
2015 |
0 |
0.89 |
0 |
data |
53 |
Kasungu |
Central |
2016 |
0 |
0.88 |
0.35 |
interpolated, mean of 2015 and 2017 |
54 |
Kasungu |
Central |
2017 |
0 |
0.87 |
0.7 |
data |
55 |
Kasungu |
Central |
2018 |
0 |
0.82 |
0.86 |
data |
56 |
Likoma |
Northern |
2015 |
0 |
0.52 |
0.26 |
data |
57 |
Likoma |
Northern |
2016 |
0 |
0.685 |
0.615 |
interpolated, mean of 2015 and 2017 |
58 |
Likoma |
Northern |
2017 |
0 |
0.85 |
0.97 |
no data so we used Lilongwe data for 2017 and 2018 |
59 |
Likoma |
Northern |
2018 |
0 |
0.83 |
0.9 |
no data, random |
60 |
Lilongwe |
Central |
2015 |
0 |
0.88 |
0.04 |
data |
61 |
Lilongwe |
Central |
2016 |
0 |
0.865 |
0.505 |
interpolated, mean of 2015 and 2017 |
62 |
Lilongwe |
Central |
2017 |
0 |
0.85 |
0.97 |
data |
63 |
Lilongwe |
Central |
2018 |
0 |
0.83 |
0.9 |
data |
64 |
Lilongwe City |
Central |
2015 |
0 |
0.88 |
0.04 |
data |
65 |
Lilongwe City |
Central |
2016 |
0 |
0.865 |
0.505 |
interpolated, mean of 2015 and 2017 |
66 |
Lilongwe City |
Central |
2017 |
0 |
0.85 |
0.97 |
data |
67 |
Lilongwe City |
Central |
2018 |
0 |
0.83 |
0.9 |
data |
68 |
Machinga |
Southern |
2015 |
0 |
0.45 |
0 |
data |
69 |
Machinga |
Southern |
2016 |
0 |
0.68 |
0.46 |
interpolated, mean of 2015 and 2017 |
70 |
Machinga |
Southern |
2017 |
0 |
0.91 |
0.92 |
data |
71 |
Machinga |
Southern |
2018 |
0 |
0.93 |
0.97 |
data |
72 |
Mangochi |
Southern |
2015 |
0 |
0.82 |
0.01 |
data |
73 |
Mangochi |
Southern |
2016 |
0 |
0.85 |
0.49 |
interpolated, mean of 2015 and 2017 |
74 |
Mangochi |
Southern |
2017 |
0 |
0.88 |
0.97 |
data |
75 |
Mangochi |
Southern |
2018 |
0 |
0.73 |
0.75 |
data |
76 |
Mchinji |
Central |
2015 |
0 |
0.77 |
0 |
data |
77 |
Mchinji |
Central |
2016 |
0 |
0.815 |
0.435 |
interpolated, mean of 2015 and 2017 |
78 |
Mchinji |
Central |
2017 |
0 |
0.86 |
0.87 |
data |
79 |
Mchinji |
Central |
2018 |
0 |
0.83 |
0.82 |
data |
80 |
Mwanza |
Southern |
2015 |
0 |
0.5 |
0 |
errors in the data for SAC so instead we used 0.5 |
81 |
Mwanza |
Southern |
2016 |
0 |
0.675 |
0.415 |
interpolated, mean of 2015 and 2017 |
82 |
Mwanza |
Southern |
2017 |
0 |
0.85 |
0.83 |
data |
83 |
Mwanza |
Southern |
2018 |
0 |
0.75 |
0.72 |
data |
84 |
Mzimba |
Northern |
2015 |
0 |
0.41 |
0.03 |
data for Mzimba South |
85 |
Mzimba |
Northern |
2016 |
0 |
0.7 |
0.48 |
interpolated, mean of 2015 and 2017 |
86 |
Mzimba |
Northern |
2017 |
0 |
0.99 |
0.93 |
value over 100% in the data for Adults so instead we used value for 2018 |
87 |
Mzimba |
Northern |
2018 |
0 |
0.78 |
0.93 |
data for Mzimba South |
88 |
Mzuzu City |
Northern |
2015 |
0 |
0.83 |
0 |
no data, so copied from another Northern with data, Rumphi |
89 |
Mzuzu City |
Northern |
2016 |
0 |
0.855 |
0.435 |
no data, so copied from another Northern with data, Rumphi |
90 |
Mzuzu City |
Northern |
2017 |
0 |
0.88 |
0.87 |
no data, so copied from another Northern with data, Rumphi |
91 |
Mzuzu City |
Northern |
2018 |
0 |
0.92 |
0.89 |
no data, so copied from another Northern with data, Rumphi |
92 |
Neno |
Southern |
2015 |
0 |
0.8 |
0 |
data |
93 |
Neno |
Southern |
2016 |
0 |
0.82 |
0.395 |
interpolated, mean of 2015 and 2017 |
94 |
Neno |
Southern |
2017 |
0 |
0.84 |
0.79 |
data |
95 |
Neno |
Southern |
2018 |
0 |
0.87 |
0.87 |
data |
96 |
Nkhata Bay |
Northern |
2015 |
0 |
0.5 |
0.76 |
value over 100% in the data for SAC so instead we used 0.5 |
97 |
Nkhata Bay |
Northern |
2016 |
0 |
0.66 |
0.765 |
interpolated, mean of 2015 and 2017 |
98 |
Nkhata Bay |
Northern |
2017 |
0 |
0.82 |
0.77 |
data |
99 |
Nkhata Bay |
Northern |
2018 |
0 |
0.81 |
0.8 |
data |
100 |
Ntcheu |
Central |
2015 |
0 |
0.91 |
0 |
data |
101 |
Ntcheu |
Central |
2016 |
0 |
0.865 |
0.415 |
interpolated, mean of 2015 and 2017 |
102 |
Ntcheu |
Central |
2017 |
0 |
0.82 |
0.83 |
data |
103 |
Ntcheu |
Central |
2018 |
0 |
0.84 |
0.87 |
data |
104 |
Ntchisi |
Central |
2015 |
0 |
0.5 |
0 |
value over 100% in the data for SAC so instead we used 0.5 |
105 |
Ntchisi |
Central |
2016 |
0 |
0.66 |
0.45 |
interpolated, mean of 2015 and 2017 |
106 |
Ntchisi |
Central |
2017 |
0 |
0.82 |
0.9 |
data |
107 |
Ntchisi |
Central |
2018 |
0 |
0.87 |
0.83 |
data |
108 |
Rumphi |
Northern |
2015 |
0 |
0.83 |
0 |
data |
109 |
Rumphi |
Northern |
2016 |
0 |
0.855 |
0.435 |
interpolated, mean of 2015 and 2017 |
110 |
Rumphi |
Northern |
2017 |
0 |
0.88 |
0.87 |
data |
111 |
Rumphi |
Northern |
2018 |
0 |
0.92 |
0.89 |
data |
112 |
Salima |
Central |
2015 |
0 |
0.5 |
0.33 |
value over 100% in the data for SAC so instead we used 0.5 |
113 |
Salima |
Central |
2016 |
0 |
0.675 |
0.6 |
interpolated, mean of 2015 and 2017 |
114 |
Salima |
Central |
2017 |
0 |
0.85 |
0.87 |
data |
115 |
Salima |
Central |
2018 |
0 |
0.85 |
0.78 |
value over 100% in the data for SAC so instead we used 2017 value |
116 |
Thyolo |
Southern |
2015 |
0 |
0.63 |
0.04 |
data |
117 |
Thyolo |
Southern |
2016 |
0 |
0.745 |
0.395 |
interpolated, mean of 2015 and 2017 |
118 |
Thyolo |
Southern |
2017 |
0 |
0.86 |
0.75 |
data |
119 |
Thyolo |
Southern |
2018 |
0 |
0.88 |
0.85 |
data |
120 |
Zomba |
Southern |
2015 |
0 |
0.71 |
0 |
data |
121 |
Zomba |
Southern |
2016 |
0 |
0.81 |
0.39 |
interpolated, mean of 2015 and 2017 |
122 |
Zomba |
Southern |
2017 |
0 |
0.91 |
0.78 |
data |
123 |
Zomba |
Southern |
2018 |
0 |
0.91 |
0.87 |
data |
124 |
Zomba City |
Southern |
2015 |
0 |
0.71 |
0 |
data |
125 |
Zomba City |
Southern |
2016 |
0 |
0.81 |
0.39 |
interpolated, mean of 2015 and 2017 |
126 |
Zomba City |
Southern |
2017 |
0 |
0.91 |
0.78 |
data |
127 |
Zomba City |
Southern |
2018 |
0 |
0.91 |
0.87 |
data |
MDA_prognosed_Coverage
District |
Region |
Frequency |
Coverage PSAC |
Coverage SAC |
Coverage Adults |
|
---|---|---|---|---|---|---|
0 |
Blantyre |
Southern |
12 |
0.5 |
0.8 |
0.5 |
1 |
Chiradzulu |
Southern |
12 |
0.5 |
0.8 |
0.5 |
2 |
Mulanje |
Southern |
12 |
0.5 |
0.8 |
0.5 |
3 |
Nkhotakota |
Central |
12 |
0.5 |
0.8 |
0.5 |
4 |
Nsanje |
Southern |
12 |
0.5 |
0.8 |
0.5 |
5 |
Phalombe |
Southern |
12 |
0.5 |
0.8 |
0.5 |
6 |
Balaka |
Southern |
0 |
0 |
0.8 |
0.5 |
7 |
Blantyre City |
Southern |
0 |
0 |
0.8 |
0.5 |
8 |
Chikwawa |
Southern |
0 |
0 |
0.8 |
0.5 |
9 |
Chitipa |
Northern |
0 |
0 |
0.8 |
0.5 |
10 |
Dedza |
Central |
0 |
0 |
0.8 |
0.5 |
11 |
Dowa |
Central |
0 |
0 |
0 |
0 |
12 |
Karonga |
Northern |
0 |
0 |
0.8 |
0.5 |
13 |
Kasungu |
Central |
0 |
0 |
0.8 |
0.5 |
14 |
Likoma |
Northern |
0 |
0 |
0.8 |
0.5 |
15 |
Lilongwe |
Central |
0 |
0 |
0.8 |
0.5 |
16 |
Lilongwe City |
Central |
0 |
0 |
0.8 |
0.5 |
17 |
Machinga |
Southern |
0 |
0 |
0.8 |
0.5 |
18 |
Mangochi |
Southern |
0 |
0 |
0.8 |
0.5 |
19 |
Mchinji |
Central |
0 |
0 |
0.8 |
0.5 |
20 |
Mwanza |
Southern |
0 |
0 |
0.8 |
0.5 |
21 |
Mzimba |
Northern |
0 |
0 |
0.8 |
0.5 |
22 |
Mzuzu City |
Northern |
0 |
0 |
0.8 |
0.5 |
23 |
Neno |
Southern |
0 |
0 |
0.8 |
0.5 |
24 |
Nkhata Bay |
Northern |
0 |
0 |
0.8 |
0.5 |
25 |
Ntcheu |
Central |
0 |
0 |
0.8 |
0.5 |
26 |
Ntchisi |
Central |
0 |
0 |
0.8 |
0.5 |
27 |
Rumphi |
Northern |
0 |
0 |
0 |
0 |
28 |
Salima |
Central |
0 |
0 |
0.8 |
0.5 |
29 |
Thyolo |
Southern |
0 |
0 |
0.8 |
0.5 |
30 |
Zomba |
Southern |
0 |
0 |
0.8 |
0.5 |
31 |
Zomba City |
Southern |
0 |
0 |
0.8 |
0.5 |