MOESM1 of Incidence and admission rates for severe malaria and their impact on mortality in Africa

Additional file 1. This file includes additional methods figures and tables of results that support and expand some of the results in the main text, but whose inclusion would detract from the main argument

Impact of Service Parameters on Level of Effective Coverage: Nigeria.

<p>Labeled on the x-axis are: A Access to any care provider; Pf Access to a formal care provider; Da Compliance with the first-line antimalarial treatment; H Adherence; T Cure rate. Effective coverage. E, evaluated by varying each of the service indicators from 0 to 100% while holding all other inputs at base value. Values of effective coverage at lowest and highest values of inputs are labeled on the y-axis to illustrate the sensitivity. Baseline values of inputs and effective coverage are shown in dash lines.</p

Effective Coverage and Malaria Service Performance Indicators by Country (%).

<p>Labeled on the axis are: <i>E</i> Effective coverage; <i>A</i> Access to any care provider; <i>Pf</i> Access to a formal care provider; <i>Dact</i> Compliance with the first-line antimalarial treatment; <i>H</i> Adherence; <i>T</i> Cure rate. Labels for country ISO3 codes are listed in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0127818#pone.0127818.s005" target="_blank">S1 Table</a>.</p

Decision Tree Model for Case Management of Uncomplicated Malaria.

<p>Decision Tree Model for Case Management of Uncomplicated Malaria.</p

Effective Coverage (<i>E</i>) and Access to Any Provider (<i>A</i>) by Country (%).

<p>Dashed lines starting with a 45 degree angle and steeper illustrate the ratio of fever episodes treated effectively (Effective Coverage) over episodes for which treatment was sought (Access). Labels for country ISO3 codes are listed in the <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0127818#pone.0127818.s005" target="_blank">S1 Table</a>.</p

Summary of Definitions, Sources of Data and Key Assumptions on Malaria Service Performance Indicators.

<p>Summary of Definitions, Sources of Data and Key Assumptions on Malaria Service Performance Indicators.</p

Access, First-Line Antimalarial Treatment, and Effective Coverage of Malaria Case Management by Country.

<p>A. Access to any provider; <i>D</i>_<i>a</i> Compliance with the first-line antimalarial treatment; C. Effective coverage. Maps were generated by authors using <i>spmap</i> command[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0127818#pone.0127818.ref073" target="_blank">73</a>] in Stata 13 SE; Country coordinates were sourced from Global Administrative Areas (<a href="http://gadm.org/" target="_blank">http://gadm.org</a>).</p

Costing and sensitivity analysis of malaria control interventions in Kenya.

<p>All costs are in 2012 USD.</p><p>Costing and sensitivity analysis of malaria control interventions in Kenya.</p

Costing and sensitivity analysis of the Kenya public sector case management system.

<p>All costs are in 2012 USD.</p><p>Costing and sensitivity analysis of the Kenya public sector case management system.</p

Sensitivity analysis.

<p>Tornado diagram of the change in the ACER of an intervention with 80% LLIN use, 90% IRS coverage, and 80% IST coverage twice per term in relation to variation in component costs.</p