Malaria Control & Elimination Scorecard: Tanzania (Q3/2019)

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
7%
52%
95%
43%
84%
87%
72%
100%

Scorecard

Region
Integrated Malaria Vector Control
Malaria diagnosis, treatment, preventative therapies and vaccines
Surveillance,  monitoring and evaluation
Disease Burden
Region
% 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
90
82
74
49
1.2
3
96
28
6
118
33
7.8
0.51
16
18
 
Arusha
97
94
75
19
1.1
6
98
2
0
5
1
0.8
0.58
0
2
 
Dar es Salaam
67
41
89
39
1.4
7
99
8
1
47
8
3.5
0.56
3
14
 
Dodoma
84
73
93
35
2.2
2
98
6
1
12
5
3.5
0.28
1
4
 
Geita
93
88
64
88
1.2
3
99
39
16
211
77
28.0
0.67
36
40
 
Iringa
94
90
84
23
1.0
3
97
6
0
10
3
1.0
0.66
1
2
 
Kagera
94
89
70
69
1.0
2
99
43
11
211
70
14.7
0.40
38
32
 
Katavi
96
89
66
66
1.3
1
92
34
8
105
43
12.2
0.45
17
33
 
Kigoma
95
88
70
57
0.9
1
97
38
10
222
33
9.0
0.41
18
24
 
Kilimanjaro
97
94
99
22
1.1
4
100
3
0
7
1
0.0
0.00
0
3
 
Lindi
99
97
83
60
1.0
2
99
36
14
205
68
2.1
0.13
24
17
 
Manyara
92
82
79
28
2.5
3
99
6
0
7
3
0.0
0.00
1
3
 
Mara
90
81
71
70
1.0
2
98
36
10
153
52
15.6
0.37
27
35
 
Mbeya
84
77
82
38
1.7
3
96
16
3
30
16
1.4
0.08
6
8
 
Morogoro
91
83
85
56
1.0
3
97
27
9
143
38
10.3
0.38
18
23
 
Mtwara
100
98
88
67
1.1
3
99
43
17
272
101
8.2
0.45
34
26
 
Mwanza
93
90
70
62
1.2
4
99
34
7
150
51
11.0
0.86
25
19
 
Njombe
91
77
76
19
1.6
3
93
10
1
14
6
1.6
0.51
2
2
 
Pwani
91
90
60
51
1.1
3
99
35
6
353
66
6.9
0.39
24
20
 
Rukwa
93
88
81
51
2.6
7
91
31
3
68
40
8.7
0.95
12
19
 
Ruvuma
100
99
80
61
1.0
1
100
30
8
162
33
5.6
0.19
21
16
 
Shinyanga
97
86
60
59
1.4
3
99
29
11
101
44
20.2
0.61
19
22
 
Simiyu
97
89
61
48
1.2
1
97
12
2
18
12
2.8
0.46
4
10
 
Singida
90
84
75
28
1.0
3
99
6
2
14
11
2.4
0.44
2
7
 
Songwe
81
72
74
28
2.3
4
91
13
1
15
6
5.6
1.40
3
5
 
Tabora
90
84
66
48
1.7
4
75
33
7
134
49
23.2
0.53
22
33
 
Tanga
87
77
64
66
1.2
2
96
41
8
330
61
21.0
0.37
29
29
Source:
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2