The contribution of non-malarial febrile illness co-infections to Plasmodium falciparum case counts in health facilities in sub-Saharan Africa

Table 1 Final model coefficients

β_final represents the value of the scaling parameter, β, after the second model-fitting (to the literature review data) and β_Initial represents the value of β after the first model fitting (to the DHS Program data), which is not used in the final model fit. The parameter λ controls the rate of decline of the proportion of MAF within malaria-positive fevers with increasing PfPR_0–5. The parameter α controls the minimum proportion of malaria-positive fevers in a population that can be due to malaria. The parameter σ is the standard deviation/observational noise parameter. Full details of model fitting and parameter optimisation can be found in the Additional file 6

ISSN: 1475-2875