Malaria Scorecard (English): Tanzania (T4/2019)

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%
72%
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
86
73
72
49
1.4
3
97
24
6
95
12
7.5
0.57
13
15
 
Arusha
96
86
71
21
1.2
6
99
2
1
3
0
0.0
0.00
0
2
 
Dar es Salaam
69
29
74
45
5.1
9
99
6
1
40
3
1.6
0.32
2
10
 
Dodoma
77
45
95
31
1.5
2
100
4
1
9
1
2.0
0.39
1
3
 
Geita
82
78
59
73
1.2
1
97
32
15
128
23
42.5
1.50
27
30
 
Iringa
98
97
85
21
1.3
4
98
6
1
10
1
0.5
0.29
1
3
 
Kagera
87
87
66
67
1.1
3
99
38
10
162
25
12.6
0.41
35
27
 
Katavi
92
90
77
63
1.8
0
91
39
7
112
24
42.6
2.10
21
37
 
Kigoma
94
89
70
56
1.0
2
98
42
11
228
21
11.4
0.87
17
27
 
Kilimanjaro
97
91
99
20
0.7
5
99
2
0
6
1
0.0
0.00
0
2
 
Lindi
99
98
84
59
1.0
2
99
32
12
183
19
8.3
0.23
21
15
 
Manyara
92
86
78
27
1.7
6
99
2
0
3
1
0.5
0.36
0
2
 
Mara
81
72
66
65
1.1
2
99
29
9
101
18
17.0
0.52
21
29
 
Mbeya
81
70
86
35
1.1
2
98
17
2
34
6
1.0
0.05
7
10
 
Morogoro
89
79
81
60
1.0
2
98
27
9
147
17
9.2
0.21
19
21
 
Mtwara
97
94
92
68
1.2
6
100
35
15
227
24
11.1
0.60
27
24
 
Mwanza
88
84
69
60
1.1
3
98
24
7
83
14
4.4
0.61
16
12
 
Njombe
88
86
63
23
1.3
2
91
9
1
15
2
0.7
0.24
2
2
 
Pwani
89
80
56
55
1.1
3
102
30
5
341
18
5.0
0.42
16
17
 
Rukwa
69
67
81
51
3.2
5
93
27
4
78
17
5.3
1.30
18
20
 
Ruvuma
100
100
84
65
1.0
2
100
36
9
217
23
10.5
0.26
27
21
 
Shinyanga
89
86
64
50
1.2
3
98
18
7
50
9
15.4
0.43
10
11
 
Simiyu
92
86
67
46
0.9
1
98
8
2
14
4
4.0
0.85
3
7
 
Singida
88
86
75
25
1.1
3
98
3
1
6
1
2.9
1.10
1
3
 
Songwe
85
61
74
27
1.5
3
88
14
1
19
4
7.2
1.50
3
5
 
Tabora
89
82
56
51
2.2
5
83
27
6
93
16
28.9
0.69
18
21
 
Tanga
88
80
62
64
1.2
4
92
33
6
214
22
9.0
0.61
22
22
Source:
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2
DHIS2