LatestData haematobium (.csv)
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R0 |
gamma_alpha |
District |
SCH_spp |
SurveyYear |
mean_prevalence2010 |
mean_worm_burden2010 |
mean_prevalence2019 |
min_prevalence |
max_prevalence |
Endemicity2022 |
classification2019 |
mean_prevalence2022 |
prop_susceptible |
mean_worm_burden2022 |
equilibrium |
param_label |
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 |
1.6 |
0.24 |
Balaka |
S.haematobium |
2018 |
16.2317 |
0.26201 |
2.03398 |
0 |
10 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
61.7 |
calibration data |
1 |
1.6 |
0.24 |
Blantyre |
S.haematobium |
2018 |
17.7615 |
0.302082 |
2.29167 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
2 |
1.6 |
0.24 |
Blantyre City |
S.haematobium |
2018 |
17.7615 |
0.302082 |
2.29167 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
3 |
1.6 |
0.24 |
Chikwawa |
S.haematobium |
2017 |
10.083 |
0.133713 |
15.2682 |
0 |
33.3333 |
High prevalence (50% and above) |
moderate |
50 |
0.810373 |
4.07025 |
calibration data |
|
4 |
1.6 |
0.24 |
Chiradzulu |
S.haematobium |
2018 |
33.2951 |
1.05685 |
8.57143 |
0 |
36.6667 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
5 |
1.6 |
0.24 |
Chitipa |
S.haematobium |
2017 |
29.4118 |
0.784456 |
4.44444 |
0 |
16.6667 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
6 |
1.6 |
0.24 |
Dedza |
S.haematobium |
2017 |
0 |
0 |
8 |
0 |
23.3333 |
High prevalence (50% and above) |
low |
50 |
0.810373 |
4.07025 |
calibration data |
|
7 |
1.6 |
0.24 |
Dowa |
S.haematobium |
2019 |
4.5977 |
0.0519999 |
0 |
0 |
0 |
Moderate prevalence (10%-49%) |
zero |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
8 |
1.6 |
0.24 |
Karonga |
S.haematobium |
2017 |
0 |
0 |
2.96039 |
0 |
17.2414 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
9 |
1.6 |
0.24 |
Kasungu |
S.haematobium |
2017 |
0 |
0 |
9.75563 |
0 |
36.6667 |
High prevalence (50% and above) |
low |
50 |
0.810373 |
4.07025 |
calibration data |
|
10 |
1.6 |
0.24 |
Likoma |
S.haematobium |
2015 |
28.61 |
0.73736 |
7.75062 |
0 |
27.5862 |
High prevalence (50% and above) |
low |
50 |
0.810373 |
4.07025 |
calibration data |
|
11 |
1.6 |
0.24 |
Lilongwe |
S.haematobium |
2018 |
11.2199 |
0.15406 |
3.07692 |
0 |
40 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
12 |
1.6 |
0.24 |
Lilongwe City |
S.haematobium |
2018 |
11.2199 |
0.15406 |
3.07692 |
0 |
40 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
13 |
1.6 |
0.24 |
Machinga |
S.haematobium |
2017 |
2 |
0.0210774 |
12.2605 |
3.33333 |
26.6667 |
High prevalence (50% and above) |
moderate |
50 |
0.810373 |
4.07025 |
calibration data |
|
14 |
1.6 |
0.24 |
Mangochi |
S.haematobium |
2019 |
20.6792 |
0.390133 |
6.66667 |
6.66667 |
6.66667 |
High prevalence (50% and above) |
low |
50 |
0.810373 |
4.07025 |
calibration data |
|
15 |
1.6 |
0.24 |
Mchinji |
S.haematobium |
2017 |
1.96078 |
0.0206425 |
2.87478 |
0 |
10 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
16 |
1.6 |
0.24 |
Mulanje |
S.haematobium |
2017 |
11.6667 |
0.162432 |
11.7424 |
0 |
26.6667 |
High prevalence (50% and above) |
moderate |
50 |
0.810373 |
4.07025 |
calibration data |
|
17 |
1.6 |
0.24 |
Mwanza |
S.haematobium |
2019 |
18.7546 |
0.330229 |
8.66667 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
18 |
1.6 |
0.24 |
Mzimba |
S.haematobium |
2018 |
8.27148 |
0.103909 |
2.53731 |
0 |
16.6667 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
19 |
1.6 |
0.24 |
Mzuzu City |
S.haematobium |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
zero |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
20 |
1.6 |
0.24 |
Neno |
S.haematobium |
2018 |
16.5124 |
0.26908 |
1.05263 |
0 |
6.66667 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
21 |
1.6 |
0.24 |
Nkhata Bay |
S.haematobium |
2019 |
3.11111 |
0.0337808 |
2.22222 |
0 |
13.3333 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
22 |
1.6 |
0.24 |
Nkhotakota |
S.haematobium |
2019 |
16.8398 |
0.277485 |
16.9048 |
0 |
53.3333 |
Moderate prevalence (10%-49%) |
moderate |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
23 |
1.6 |
0.24 |
Nsanje |
S.haematobium |
2017 |
11.6667 |
0.162432 |
25.8792 |
0 |
73.3333 |
High prevalence (50% and above) |
moderate |
50 |
0.810373 |
4.07025 |
calibration data |
|
24 |
1.6 |
0.24 |
Ntcheu |
S.haematobium |
2018 |
13.7838 |
0.205236 |
1.51515 |
0 |
13.3333 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
25 |
1.6 |
0.24 |
Ntchisi |
S.haematobium |
2018 |
17.155 |
0.285736 |
3.33333 |
0 |
13.3333 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
26 |
1.6 |
0.24 |
Phalombe |
S.haematobium |
2017 |
23 |
0.473126 |
8.90805 |
0 |
26.6667 |
High prevalence (50% and above) |
low |
50 |
0.810373 |
4.07025 |
calibration data |
|
27 |
1.6 |
0.24 |
Rumphi |
S.haematobium |
2017 |
0 |
0 |
1.10769 |
0 |
10.3448 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
28 |
1.6 |
0.24 |
Salima |
S.haematobium |
2019 |
5.99651 |
0.0705356 |
7.5 |
0 |
23.3333 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
29 |
1.6 |
0.24 |
Thyolo |
S.haematobium |
2017 |
0 |
0 |
6.51852 |
0 |
20 |
Moderate prevalence (10%-49%) |
low |
34.5 |
0.559157 |
1.15918 |
calibration data |
|
30 |
1.6 |
0.24 |
Zomba |
S.haematobium |
2019 |
10.1286 |
0.134503 |
15.9259 |
0 |
33.3333 |
High prevalence (50% and above) |
moderate |
50 |
0.810373 |
4.07025 |
calibration data |
|
31 |
1.6 |
0.24 |
Zomba City |
S.haematobium |
2019 |
10.1286 |
0.134503 |
15.9259 |
0 |
33.3333 |
High prevalence (50% and above) |
moderate |
50 |
0.810373 |
4.07025 |
calibration data |
|
32 |
0.26975 |