Malaria Scorecard (English): Tanzania (Q1/2023)

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%
100%
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
82
63
45
0.9
1
99
18
6
63
8
4.1
0.60
11
12
 
Arusha
98
84
67
15
0.8
0
100
2
0
3
0
1.0
2.20
0
1
 
Dar es Salaam
90
71
82
28
0.4
0
101
3
1
20
1
1.0
1.00
1
4
 
Dodoma
96
82
78
34
0.9
0
98
4
0
10
1
0.4
0.20
1
4
 
Geita
98
90
56
72
0.9
0
100
29
16
108
21
12.4
0.80
24
25
 
Iringa
98
88
72
23
0.8
0
97
5
1
12
1
2.0
1.50
1
3
 
Kagera
97
94
67
69
1.0
0
99
34
9
124
22
14.7
0.60
30
26
 
Katavi
100
88
56
67
0.9
0
100
17
8
50
11
8.8
1.70
9
15
 
Kigoma
100
92
81
57
0.8
0
99
32
10
113
18
6.4
0.60
17
21
 
Kilimanjaro
99
93
68
22
0.9
0
100
1
0
2
0
0.0
0.00
0
1
 
Lindi
100
96
79
58
1.0
0
100
25
11
157
15
3.8
0.70
14
13
 
Manyara
97
85
85
29
1.0
1
99
2
0
2
0
0.4
0.60
0
1
 
Mara
98
89
59
70
0.9
4
100
25
11
86
17
8.1
0.50
22
28
 
Mbeya
95
79
67
38
0.6
0
96
14
5
33
5
4.0
0.80
5
9
 
Morogoro
98
75
73
54
0.8
0
100
20
8
96
10
3.4
0.60
13
16
 
Mtwara
100
97
69
58
0.9
1
100
27
12
157
17
7.6
1.00
18
14
 
Mwanza
98
92
54
61
0.9
0
98
19
8
66
11
4.4
0.60
14
11
 
Njombe
97
84
68
22
0.9
0
99
9
1
14
2
0.8
1.00
2
2
 
Pwani
95
83
67
58
0.9
1
107
21
5
158
12
2.0
0.40
15
12
 
Rukwa
94
77
66
61
0.5
2
102
21
5
58
12
12.6
2.80
13
14
 
Ruvuma
100
96
81
63
1.0
0
100
34
9
173
20
6.1
0.30
23
22
 
Shinyanga
97
59
52
63
0.8
0
100
16
9
47
10
5.5
0.70
11
12
 
Simiyu
100
90
84
64
0.9
0
101
16
4
22
9
5.7
0.70
9
15
 
Singida
97
87
64
41
0.9
1
99
5
3
10
2
1.6
0.80
2
6
 
Songwe
93
85
63
38
0.8
0
94
15
2
26
5
2.0
0.30
4
10
 
Tabora
98
73
41
59
0.6
2
94
19
8
65
14
3.8
0.60
13
15
 
Tanga
94
74
64
57
0.8
0
97
20
5
95
12
5.9
1.00
13
13
Source:
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2