LatestData haematobium (.csv)
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R0 |
gamma_alpha |
District |
SCH_spp |
SurveyYear |
mean_prevalence2010 |
mean_prevalence2019 |
min_prevalence |
max_prevalence |
Endemicity2022 |
classification2019 |
mean_prevalence2022 |
prop_susceptible |
Mean_worm_burden |
equilibrium |
Unnamed: 15 |
Unnamed: 16 |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 |
1.6 |
0.24 |
Balaka |
S.haematobium |
2018 |
16.23168271153846 |
2.033982983 |
0 |
10 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
61.7 |
||
1 |
1.6 |
0.24 |
Blantyre |
S.haematobium |
2018 |
17.76153078478261 |
2.291666638 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
2 |
1.6 |
0.24 |
Blantyre City |
S.haematobium |
2018 |
17.76153078478261 |
2.291666638 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
3 |
1.6 |
0.24 |
Chikwawa |
S.haematobium |
2017 |
10.083041966666666 |
15.26819917 |
0 |
33.333332 |
High prevalence (50% and above) |
moderate |
50 |
0.810372771 |
4.070254266 |
|||
4 |
1.6 |
0.24 |
Chiradzulu |
S.haematobium |
2018 |
33.29512790909091 |
8.571428543 |
0 |
36.666668 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
5 |
1.6 |
0.24 |
Chitipa |
S.haematobium |
2017 |
29.411764 |
4.444444362 |
0 |
16.666666 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
6 |
1.6 |
0.24 |
Dedza |
S.haematobium |
2017 |
0 |
8.000000005 |
0 |
23.333334 |
High prevalence (50% and above) |
low |
50 |
0.810372771 |
4.070254266 |
|||
7 |
1.6 |
0.24 |
Dowa |
S.haematobium |
2019 |
4.597701 |
0 |
0 |
0 |
Moderate prevalence (10%-49%) |
zero |
34.5 |
0.559157212 |
1.159176466 |
|||
8 |
1.6 |
0.24 |
Karonga |
S.haematobium |
2017 |
0 |
2.960392043 |
0 |
17.241379 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
9 |
1.6 |
0.24 |
Kasungu |
S.haematobium |
2017 |
0 |
9.75562835 |
0 |
36.666668 |
High prevalence (50% and above) |
low |
50 |
0.810372771 |
4.070254266 |
|||
10 |
1.6 |
0.24 |
Likoma |
S.haematobium |
2015 |
28.609972 |
7.750623757 |
0 |
27.586206 |
High prevalence (50% and above) |
low |
50 |
0.810372771 |
4.070254266 |
|||
11 |
1.6 |
0.24 |
Lilongwe |
S.haematobium |
2018 |
11.219895524657534 |
3.076923031 |
0 |
40 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
12 |
1.6 |
0.24 |
Lilongwe City |
S.haematobium |
2018 |
11.219895524657534 |
3.076923031 |
0 |
40 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
13 |
1.6 |
0.24 |
Machinga |
S.haematobium |
2017 |
2 |
12.26053624 |
3.3333333 |
26.666666 |
High prevalence (50% and above) |
moderate |
50 |
0.810372771 |
4.070254266 |
|||
14 |
1.6 |
0.24 |
Mangochi |
S.haematobium |
2019 |
20.67923721111111 |
6.6666665 |
6.6666665 |
6.6666665 |
High prevalence (50% and above) |
low |
50 |
0.810372771 |
4.070254266 |
|||
15 |
1.6 |
0.24 |
Mchinji |
S.haematobium |
2017 |
1.9607843 |
2.874779514 |
0 |
10 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
16 |
1.6 |
0.24 |
Mulanje |
S.haematobium |
2017 |
11.666667 |
11.74238258 |
0 |
26.666666 |
High prevalence (50% and above) |
moderate |
50 |
0.810372771 |
4.070254266 |
|||
17 |
1.6 |
0.24 |
Mwanza |
S.haematobium |
2019 |
18.75457126 |
8.66666666 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
18 |
1.6 |
0.24 |
Mzimba |
S.haematobium |
2018 |
8.27148 |
2.537313382 |
0 |
16.666666 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
19 |
1.6 |
0.24 |
Mzuzu City |
S.haematobium |
0 |
0 |
0 |
0 |
0 |
0 |
zero |
34.5 |
0.559157212 |
1.159176466 |
|||
20 |
1.6 |
0.24 |
Neno |
S.haematobium |
2018 |
16.512385492307693 |
1.052631563 |
0 |
6.6666665 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
21 |
1.6 |
0.24 |
Nkhata Bay |
S.haematobium |
2019 |
3.11111106 |
2.222222173 |
0 |
13.333333 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
22 |
1.6 |
0.24 |
Nkhotakota |
S.haematobium |
2019 |
16.83985 |
16.90476144 |
0 |
53.333332 |
Moderate prevalence (10%-49%) |
moderate |
34.5 |
0.559157212 |
1.159176466 |
|||
23 |
1.6 |
0.24 |
Nsanje |
S.haematobium |
2017 |
11.666667 |
25.87916336 |
0 |
73.333336 |
High prevalence (50% and above) |
moderate |
50 |
0.810372771 |
4.070254266 |
|||
24 |
1.6 |
0.24 |
Ntcheu |
S.haematobium |
2018 |
13.783788737857142 |
1.515151482 |
0 |
13.333333 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
25 |
1.6 |
0.24 |
Ntchisi |
S.haematobium |
2018 |
17.154963952173915 |
3.333333295 |
0 |
13.333333 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
26 |
1.6 |
0.24 |
Phalombe |
S.haematobium |
2017 |
23 |
8.90804575 |
0 |
26.666666 |
High prevalence (50% and above) |
low |
50 |
0.810372771 |
4.070254266 |
|||
27 |
1.6 |
0.24 |
Rumphi |
S.haematobium |
2017 |
0 |
1.107690219 |
0 |
10.344828 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
28 |
1.6 |
0.24 |
Salima |
S.haematobium |
2019 |
5.996514144 |
7.499999975 |
0 |
23.333334 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
29 |
1.6 |
0.24 |
Thyolo |
S.haematobium |
2017 |
0 |
6.518518425 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157212 |
1.159176466 |
|||
30 |
1.6 |
0.24 |
Zomba |
S.haematobium |
2019 |
10.128625957142857 |
15.92592564 |
0 |
33.333332 |
High prevalence (50% and above) |
moderate |
50 |
0.810372771 |
4.070254266 |
|||
31 |
1.6 |
0.24 |
Zomba City |
S.haematobium |
2019 |
10.128625957142857 |
15.92592564 |
0 |
33.333332 |
High prevalence (50% and above) |
moderate |
50 |
0.810372771 |
4.070254266 |
|||
32 |
|||||||||||||||||
33 |
|||||||||||||||||
34 |
|||||||||||||||||
35 |