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Table 1 Country and sub-national data pre-loaded in Spectrum-Malaria

From: Spectrum-Malaria: a user-friendly projection tool for health impact assessment and strategic planning by malaria control programmes in sub-Saharan Africa

Indicator Age group Unit used in Spectrum Data source and comment
PfPR 2–9 years % of children infected, as weighed median for the Admin1 population, after excluding the population living at 0.0 PfPR MAP. The category with 0 PfPR, and its exclusion from the Admin1′s weighted median PfPR, are needed to convert burden and coverage rate between the population with > 0 PfPR in Spectrum (onto which OpenMalaria-based impact regressions are applied) and WHO official country estimates which includes populations with 0 PfPR
Case incidence 0–4, 5–14 and 15+ years Population-weighted average rate, for population living at >0 PfPR a WHO national estimates, allocated across Admin1 s, according to case incidence and population size distributions estimated by MAP for that year. 2014 rates applied in 2015
Malaria-attributable mortality <5 and ≥5 years Population-weighted average rate, for population living at >0 PfPR a WHO national estimates for 0–4 vs 5+ years, allocated by Avenir Health to Admin1 s and the 5–14 vs 15+ years sub-age groups, according to distribution in case incidence from MAP for that year. 2014 rates applied in 2015
Seasonality index CV_MAP_EIR N/A Population-weighted average, for population living at >0 PfPR a Swiss TPH and MAP
See Additional file 1. Time-constant
Population who slept under an ITN last night All age total Population-weighted average, in two variants:
1. Actual (including population living at 0 PfPR a ) to inform ITN distributions for costing;
2. Effective coverage (limited to population living at >0 PfPR a ), used for impact calculation
MAP and WHO [31, 32]
N.B. Unlike Bhatt and colleagues’ 2015 national-level estimates, the MAP and Spectrum ITN coverage data at pixel and Admin1 unit level did not assume that ‘all ITNs are distributed among households situated in malaria-endemic regions
IRS: % of people protected All age total Population-weighted average, in two variants:
National (including population living at 0 PfPR a, for whom 0 ITN usage is assumed);
Effective coverage (limited to population living at >0 PfPR a )
WHO. Allocated from WHO’s national total to Admin1 s through the algorithm shown in Table 3
For 2015, calculate coverage based on the WHO-reported number of people protected in 2014
Case management coverage, uncomplicated cases All age total Population-weighted average, constant across all Admin1 units in a country, irrespective of PfPR National estimate for 2015 of the proportion of fevers in children 0-4 years treated with an ACT [26], applied at 2014 and 2015 and to all age groups.
Population size 0–4 years, 5–14 years, 15+ years Total, including people at >0 PfPR MAP, for both total population, and population at >0 PfPR
  1. PfPR at province level is calculated on all pixels in the province with PfPR >0. It is the weighted median PfPR over all these pixels, with pixels weighted by their population aged 2–9 years. Avenir Health prepared but did not use an alternative method: the populations of all pixels at PfPR >0 are pooled, with each ‘person’ in the pool assigned their pixel’s PfPR, and taking the median PfPR of the pool. The difference is less than 1% for most provinces, therefore the more intuitive method was selected
  2. Case incidence rates are calculated using whole population (not population at PfPR >0). MAP’s case incidence is always zero for pixels at PfPR = 0; same for Avenir Health’ interpolated malaria death rates, because where there are no malaria cases there can be no malaria deaths
  3. ITN coverage is calculated for both the whole population (‘ITNactual’ in Spectrum’s user interface) and for the population at PfPR >0 (‘ITNeff’)
  4. IRS coverage is being calculated with the whole population as denominator, rather than population at PfPR >0
  5. The number protected by IRS in 2015 is taken to be that reported by NMPs to WHO in 2014 or if 2014 not available, then 2013. If the values in both 2013 and 2014 are missing or zero, Spectrum assumes 0 IRS coverage in 2015 too
  6. Allocation of national IRS numbers protected across provinces is inversely proportion to the past three years’ average of ‘ITNeff’
  7. Seasonality values are calculated across all pixels (i.e., not as ‘effective’ Seasonality on pixels with PfPR >0 only)
  8. aSpectrum impact projections are done using as driver/predictor, the effective coverages in populations with PfPR >0, because only populations with PfPR >0 were simulated in OpenMalaria, and coverage-impact relationships derived from OpenMalaria thus apply to populations with malaria transmission (i.e. PfPR >0, in most years) only