LatestData haematobium (.csv)

Download original .csv file from GitHub

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