First author
|
Year
|
Country(s)
|
Population (million)
|
GDP per capita (1000 USD)
|
Study type
|
Malaria incidence*
|
Malaria mortality**
|
Risk of Bias
|
---|
Abiodun [31]
|
2020
|
Nigeria
|
210.5
|
2.23
|
Cross-sectional
|
296.08
|
32.77
|
Low risk
|
Cohen [22]
|
2020
|
sub-Saharan
|
1,100
|
1.59
|
Cross-sectional
|
180
|
33
|
Low risk
|
Garg [34]
|
2020
|
India
|
1,338.6
|
2.09
|
Cross-sectional
|
18.6
|
1.89
|
High risk
|
Aguemon [15]
|
2018
|
Benin
|
11.17
|
1.22
|
Cross-sectional
|
293.7
|
41.16
|
Low risk
|
Bonful [18]
|
2019
|
Ghana
|
29.12
|
0.59
|
Cross-sectional
|
266.4
|
48.11
|
High risk
|
Worges [17]
|
2019
|
Zambia
|
16.8
|
2.2
|
Cross-sectional
|
173.7
|
42.02
|
Low risk
|
Zurovac [13]
|
2018
|
Kenya
|
53.7
|
1.8
|
Cross-sectional
|
166
|
25
|
Low risk
|
Gallay [14]
|
2018
|
Tanzania
|
59.7
|
1.12
|
Cross-sectional
|
113.9
|
36
|
Low risk
|
Plucinski [12]
|
2017
|
Angola
|
32.8
|
2.8
|
Cross-sectional
|
124
|
41.51
|
Low risk
|
Namuyinga [19]
|
2017
|
Malawi
|
17.6
|
0.411
|
Cross-sectional
|
188.8
|
47.27
|
High risk
|
Pulford [35]
|
2016
|
Papua New Guinea
|
8.4
|
2.8
|
Cross-sectional
|
122.2
|
47.27
|
Low risk
|
Zurovac [16]
|
2015
|
Vanuatu
|
0.285
|
3.11
|
Cross-sectional
|
3.3
|
0.81
|
Moderate risk
|
Landman [36]
|
2015
|
Haiti
|
11
|
1.27
|
Cross-sectional
|
8.4
|
1.96
|
Low risk
|
Steinhardt [37]
|
2014
|
Malawi
|
17.6
|
0.411
|
Cross-sectional
|
188.8
|
47.27
|
High risk
|
Rowe [38]
|
2009
|
Angola
|
32.8
|
2.8
|
Cross-sectional
|
124
|
41.51
|
Low risk
|
- Data source: WHO
- *Per 1000 population, 2015
- **Per 100,000 population, 2015