Skip to main content

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

From: Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression

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
  1. Data source: WHO
  2. *Per 1000 population, 2015
  3. **Per 100,000 population, 2015