Malaria Scorecard (English): Tanzania (T3/2022)

Sur la voie
Progrès
Pas sur la voie
N'est pas applicable
No data
Hausse
Baisse

Indicateurs nationaux

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%
80%
100%

Carte de score

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
 
Arusha
93
82
57
14
6.2
1
99
1
0
1
0
0
1
 
Dar es Salaam
87
64
85
34
1.8
3
103
3
1
17
1
0.6
0.50
1
3
 
Dodoma
94
89
76
29
4.0
1
98
2
1
4
1
1.2
1.60
1
2
 
Geita
97
89
53
73
1.5
1
98
28
13
82
20
10.3
0.60
24
23
 
Iringa
105
86
77
19
2.3
1
97
5
1
5
1
0.4
0.70
1
1
 
Kagera
91
88
76
65
2.3
1
99
26
7
61
16
6.8
0.50
22
16
 
Katavi
99
89
52
56
1.2
100
15
7
27
7
6.7
3.70
7
11
 
Kigoma
98
90
78
53
1.3
2
108
26
6
66
13
2.2
0.30
14
14
 
Kilimanjaro
99
87
82
19
2.0
2
100
1
0
1
0
0
1
 
Lindi
100
98
93
56
2.9
100
35
14
184
19
2.3
0.40
22
16
 
Manyara
95
88
66
28
1.3
2
98
1
0
1
0
1.0
2.40
0
1
 
Mara
90
86
70
72
1.2
2
98
29
11
82
20
9.4
0.30
26
29
 
Mbeya
97
85
75
31
1.5
2
98
11
3
17
3
1.7
0.50
4
6
 
Morogoro
96
88
82
51
1.1
0
101
15
8
51
8
2.2
0.70
10
9
 
Mtwara
100
100
64
56
4.3
2
101
30
13
125
17
5.0
0.70
21
15
 
Mwanza
98
84
65
53
1.1
1
98
20
7
58
11
9.1
1.30
15
11
 
Njombe
94
91
73
17
1.7
2
94
10
1
11
2
0.4
0.50
2
2
 
Pwani
93
88
69
56
1.7
0
104
18
4
95
10
5.2
1.00
13
10
 
Rukwa
93
88
71
53
7.9
1
96
20
3
35
10
9.7
2.10
10
13
 
Ruvuma
100
100
80
55
1.0
0
100
26
8
103
14
9.9
0.70
18
12
 
Shinyanga
96
84
49
67
5.0
0
99
21
11
56
14
6.3
1.10
16
15
 
Simiyu
98
97
80
66
1.0
0
99
19
5
27
12
7.0
0.70
12
19
 
Singida
95
90
57
34
2.7
1
98
4
3
6
1
1.7
1.10
1
4
 
Songwe
78
70
69
31
2.8
2
92
10
1
10
3
3
5
 
Tabora
94
84
40
60
5.7
2
90
26
8
66
17
2.4
0.30
20
16
 
Tanga
90
76
72
57
3.1
1
98
16
4
53
8
4.5
1.00
10
9
Source:
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2