|
All studies
|
Study outcomesa
|
---|
Malaria
|
Child mortality
|
Malnutrition
|
Vaccination
|
Other outcomes
|
---|
Number of studies
|
82
|
34
|
14
|
11
|
8
|
19
|
Covariatesa
|
Agriculture and livestock
|
17
|
3
|
3
|
5
|
4
|
5
|
Climate
|
43
|
28
|
5
|
5
|
4
|
5
|
Health-related interventions/outcomes
|
24
|
9
|
5
|
5
|
1
|
7
|
Remoteness
|
43
|
19
|
7
|
5
|
5
|
11
|
Satellite indices
|
19
|
4
|
5
|
3
|
4
|
7
|
Sociodemographic
|
53
|
17
|
6
|
11
|
6
|
17
|
Topography/land cover
|
59
|
30
|
7
|
10
|
4
|
12
|
No covariates
|
15
|
4
|
7
|
1
|
2
|
2
|
Geographic coverage
|
Single country
|
50
|
26
|
6
|
7
|
2
|
9
|
Multi-country
|
32
|
8
|
8
|
5
|
6
|
10
|
Temporal component
|
No
|
46
|
19
|
2
|
8
|
7
|
11
|
Yes
|
36
|
15
|
12
|
4
|
1
|
8
|
Spatial resolutiona
|
Less than 5x5km
|
23
|
18
|
0
|
1
|
3
|
2
|
5x5 to 10x10km
|
20
|
6
|
5
|
5
|
3
|
4
|
Lower admin. level
|
30
|
2
|
8
|
6
|
1
|
14
|
Not reported
|
12
|
10
|
1
|
1
|
0
|
0
|
Uncertaintya
|
Standard deviation map
|
14
|
6
|
1
|
1
|
5
|
2
|
Interval map/table
|
28
|
12
|
8
|
2
|
0
|
10
|
Relative map
|
7
|
0
|
2
|
3
|
0
|
2
|
Other metrics
|
13
|
9
|
2
|
0
|
1
|
1
|
Not reported
|
22
|
7
|
3
|
6
|
2
|
4
|
Modeling techniquea
|
Bayesian–MCMC
|
35
|
24
|
3
|
3
|
3
|
2
|
Bayesian–INLA
|
28
|
4
|
7
|
6
|
3
|
12
|
Classical GLM
|
17
|
5
|
2
|
2
|
2
|
6
|
Spatial interpolation
|
2
|
0
|
1
|
1
|
0
|
0
|
Ensemble models
|
12
|
1
|
5
|
4
|
1
|
5
|
Out-of-sample pred.
|
Cross-validation
|
22
|
3
|
7
|
5
|
4
|
6
|
Hold-out
|
24
|
18
|
2
|
1
|
0
|
4
|
Not reported
|
36
|
13
|
5
|
6
|
4
|
9
|
Model fit metricsa
|
Bias
|
34
|
12
|
7
|
6
|
4
|
9
|
RMSE/MSE
|
30
|
3
|
7
|
6
|
6
|
12
|
Coverage
|
24
|
8
|
6
|
4
|
4
|
5
|
DIC/AIC
|
19
|
6
|
3
|
3
|
1
|
6
|
MAE
|
16
|
7
|
2
|
3
|
2
|
3
|
Correlation
|
15
|
11
|
0
|
2
|
1
|
2
|
Other metrics
|
31
|
15
|
4
|
3
|
1
|
9
|
None reported
|
11
|
5
|
2
|
3
|
1
|
1
|
- aThese characteristics allow studies to be classified in more than one subgroup
- MCMC Markov Chain Monte Carlo, INLA Integrated Nested Laplace Approximation, GLM Generalized Linear Models, RMSE Root Mean Squared Error, MSE Mean Squared Error, DIC Deviance Information Criterion, AIC Akaike Information Criterion, MAE Mean Absolute Error