Fig. 5: DL-MIRS generalisation and detection of vector control intervention. | Nature Communications

Fig. 5: DL-MIRS generalisation and detection of vector control intervention.

From: Rapid age-grading and species identification of natural mosquitoes for malaria surveillance

Fig. 5

a Computer simulations were used to assess the power of DL-MIRS a 'rapid kill' (long-lasting insecticide-treated nets; LLIN) or ‘slower kill’ intervention (attractive toxic sugar baits; ATSB) relative to a population with no intervention (control). b, c Power to detect an effect of the vector control intervention was estimated over 10 levels of training set size represented by coloured points, with EV mosquitoes ranging from 0 to 1452 and seven sample sizes per population from 20 to 300 (Supplementary Table 5). The dashed red line shows the power that would be achieved with 100% accurate age group classification. The difference between the solid and dashed lines represents the cost in power due to prediction error.

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