Table 1 Characteristics of studies included by malaria transmission setting and risk of bias assessment
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 |