On track
Progress
Not on track
Not applicable
No data
Increase
Decrease

Country indicators

Parasite prevalence among children aged 6–59 months with malaria infection
% of population that slept under an ITN the night before the survey
% of targeted structures sprayed with IRS during the past 12 months
% of children aged 6-59 months with suspected malaria cases that received a parasitological test (RDT)
% of people who report hearing or seeing malaria messages
% of population with knowledge on malaria interventions
% of entomological Sites that have reported
% of sentinel sites reporting on insecticide resistance
8%
52%
95%
43%
84%
87%
80%
100%

Scorecard

Region
Integrated Malaria Vector Control
Malaria diagnosis, treatment, preventative therapies and vaccines
Surveillance,  monitoring and evaluation
Disease Burden
% of women provided with LLIN during first ANC visit
% of infants receiving LLINs during measles/rubella immunization
% of pregnant women receiving IPTp3 during ANC attendances
Total malaria tests and OPD visit ratio
ALU dispensed and Malaria diagnosis ratio
% of health facilities reporting stock out of all ALU categories
% of pregnant women tested for malaria at ANC
Malaria test positivity rate
Malaria positivity rate among pregnant women during first ANC visit
Malaria case Incidence / 1000
% of malaria diagnosis out of total OPD attendance
% of malaria deaths out of all deaths in IPD
Malaria Case Fatality Rate
% of confirmed malaria cases out of OPD attendance for under 5 years
% of confirmed malaria cases out of total admissions
Tanzania
96
87
68
41
6.8
1
99
15
5
42
6
2.9
0.80
8
9
Arusha
96
86
65
13
9.7
1
100
1
0
1
0
0
1
Dar es Salaam
90
73
75
36
1.7
3
103
3
0
19
1
0.9
1.30
1
3
Dodoma
96
81
76
29
11.1
1
99
2
0
3
0
0.4
1.00
0
1
Geita
96
94
53
70
11.2
0
99
29
13
77
20
11.4
1.00
25
23
Iringa
99
88
76
17
3.9
2
99
3
2
4
0
0.7
2.40
0
1
Kagera
95
80
70
59
10.7
1
100
34
7
82
19
11.0
1.00
30
19
Katavi
99
95
62
53
7.6
2
99
20
6
38
10
9.9
3.50
10
16
Kigoma
99
98
85
61
4.8
1
100
31
8
98
18
5.2
0.60
18
20
Kilimanjaro
99
86
69
20
10.7
1
100
1
0
1
0
0
0
Lindi
100
100
90
53
13.5
0
100
20
11
89
10
2.2
0.60
11
11
Manyara
98
87
69
28
9.0
2
100
1
0
1
0
0
0
Mara
97
87
64
66
2.3
1
100
26
9
67
17
8.4
0.70
24
26
Mbeya
98
89
78
28
1.5
2
99
11
3
18
3
2.4
0.80
4
6
Morogoro
96
85
75
48
1.1
0
100
15
7
53
7
1.6
0.50
9
10
Mtwara
100
98
63
55
15.4
2
100
20
11
86
11
4.4
0.90
13
10
Mwanza
97
89
64
55
6.1
1
97
19
7
52
10
4.0
0.60
14
10
Njombe
94
88
66
16
14.2
1
98
8
1
8
1
1
1
Pwani
92
84
61
29
2.6
0
103
14
3
109
5
2.7
1.20
4
7
Rukwa
94
87
76
51
6.3
1
98
25
4
48
13
9.7
1.80
13
13
Ruvuma
100
100
84
53
2.5
1
100
25
7
97
13
4.9
0.20
17
13
Shinyanga
96
87
58
59
13.0
0
100
13
7
29
8
3.9
1.60
8
7
Simiyu
100
99
87
61
12.0
1
100
12
3
15
7
6.2
1.30
7
10
Singida
96
91
63
38
7.4
1
98
3
2
4
1
1
3
Songwe
85
81
69
29
6.6
2
90
12
1
13
3
2.9
1.10
3
6
Tabora
95
84
45
48
6.3
1
91
17
6
44
10
3.5
1.20
11
10
Tanga
92
77
65
56
8.3
1
97
13
4
42
7
1.9
0.70
8
8
Source:
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2