Table 2 Description of selected studies
 Author (year) |  Source | Objectives | Target population | Target outcome(s) | Reporting quality (% score) | Quality of evidence (rating) |
|---|---|---|---|---|---|---|
Snow (1999b) [30] | Bull World Hlth Org | Estimate age-structured rates of the fatal, morbid and disabling sequelae following expoure to malaria infection under different epiemiolgical conditions. | African population | Malaria | 86.67 | 0 |
MARA/ARMA (1998) [31] | MARA website | Provide a continental perspective of where, how much, when, why, and who is affected by malaria, and establish a continental database of the spatial distribution of malaria in Africa | children < 10y (excluding infants) in Africa | Malaria | 85.00 | 0 |
Snow (1998a) [32] | Trans Roy Soc Trop Med Hyg | Develop climate-based model of transmission intensity and estimate annual morbidity and mortality burden of malaria among children in Kenya. | Children 0-10y in Kenya | Malaria | 83.87 | −1 |
Schellenberg et al., (1998) [26] | Int Epi Assoc | Study the geographicla pattern of hospital admissions for severe malaria and stability of this pattern over time in Kilifi Distric, Kenya. | Children < 5y in Kenya | Malaria | 81.25 | 1 |
Giardina et al. (2012) [28] | PloS One | Provide spatially explicit burden estimates of malaria using survey data and Bayesian geostatistical zero-inflated binomial models. | Children 6–59 months in Senegal | Malaria | 78.13 | 2 |
WHO (2010) [33] | WHO website | Document success in reducing global malaria burden by summarizing information received from 160 malaria-endemic countries/areas and updating analyses presented in previous annual report. | All population groups with malaria data reported to WHO. | Malaria | 77.59 | −1 |
Root (1999) [34] | Int J Pop Geog | Map and describe distribution of under-five mortality at provincial level and examine degree to which socio-economic factors and regional disease environments are responsible for spatial patterns. | Children < 5y in 20 sub-Saharan African countries | Malaria | 74.19 | −1 |
Snow (1999a) [35] | Parasitology Today | Define spatial limits of populations exposed to risk of malaria infection in Africa and obtain best estimate of malaria attributable mortality among infants and children. | Children 0-4y in Africa | Malaria | 72.41 | −1 |
WHO (2008b) [7] | WHO website | Rreview progress in controlling malaria burden, implementing national policies and strategies on malaria control, funding to support malaria control, and evidence generation on the epidemiological impact of malaria control programmes. | All population groups with malaria data reported to WHO. | Malaria | 70.69 | −1 |
Hightower et al., (1998) [27] | Am J Trop Med Hyg | Illustrate usefulness of Differential Geographical Positioning System (DGPS) maps to produce a highly accurate base map in a tropical area. | Children < 5 years in Siaya district, Western Kenya | Malaria | 69.35 | 1 |
Mbogo (1995) [36] | Am J Trop Med Hyg | Evaluate the transmission of P. falciparumby vector populations relative to the incidence of severe malaria infections. | Children 0-4y from nine sites in Kenya | Malaria | 62.50 | −1 |
Mbogo (1993) [25] | Am J Trop Med Hyg | Examine dynamics of P. falciparum transmission by vector populations in relation to the incidenc of severe malaria infections. | Children 1-4y from two study sites in Kilifi District, Kenya | Malaria | 61.29 | 1 |
Anthony et al., (1992) [37] | Am J Trop Med Hyg | Report findings of a 15-month malaria investigation and identify factors contributing to its origin, exacerbation and persistence. | Children 0-4y in remote highland community of Oksibil, Indonesia | Malaria | 59.86 | 0 |
Gordon (2004) [38] | WHO website | Describe environmental factors that affect child health (including parasitic infections such as malaria). | Children < 5y worldwide | Malaria | 41.38 | 0 |
WHO (2008a) WHO [2] | WHO website | Collect and present information on anaemia prevalence by country and WHO region. | All population groups [Children 0.5-4.99y, 5–14.99y, (non) pregnant women, men, elderly] | Anaemia | 88.33 | −1 |
Magalhaes (2011) [24] | PLoS Medicine | Estimate the geographical risk profile of anaemia while accounting for malaria, malnutrition, and helminth infections. Estimate the risk of anaemia attributable to these factors, and the number of anaemia cases in preschool-aged children for 2011. | Children 1-4y in Burkina Faso, Ghana, and Mali | Anaemia | 87.50 | 1 |
Greenwell (2006) [29] | Population Association America | Examine the utility of using child hemoglobin measures (collected in population-based studies) as an indicator for monitoring malaria morbidity. | Children 6–59 months in five sub-Saharan African countries | Anaemia / Malaria | 84.38 | 2 |
Mainardi (2012) [21] | Int J Geo Info Sci | Re-assess spatial heterogeneity and anisotropy of moderate and severe anaemia using variograms and geographically weighted regression (GWR) models. | Children < 5y in 173 regions of 20 sub-saharan African countries. | Anaemia | 76.67 | 2 |
Snow (1994) [22] | Acta Topica | Describe and quantify clinical burden of malaria in communities with markedly different levels of P. falciparum transmission in East Africa. | Children 0-9y in Kilifi, Kenya and Ifakara, Tanzania | Anaemia / Malaria | 70.97 | −1 |
Tanzanian NBS and ICF International (2012) [39] | MEASURE DHS website | Summarize findings of the 2010 Tanzanian DHS, and provide an atlas of maps intended to easily communicate regional differences in maternal and child health. | Women (15-49y) and children (6-59 m) in Tanzania | Anaemia | 66.67 | 0 |