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Table 1.

Information about sub-districts.

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Fig 1.

Overview of proposed LSM method.

Background map tiles © OpenStreetMap contributors, licensed under CC BY-SA 2.0. Additional annotations by the authors.

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Fig 1 Expand

Table 2.

AI input features.

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Table 2 Expand

Fig 2.

CDC light trap locations.

Background map tiles © OpenStreetMap contributors, licensed under CC BY-SA 2.0. Additional annotations by the authors.

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Fig 2 Expand

Table 3.

Waterbody sites detection result comparison.

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Table 3 Expand

Fig 3.

Found sites distribution.

Background map tiles © OpenStreetMap contributors, licensed under CC BY-SA 2.0. Additional annotations by the authors.

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Table 4.

Summary of worker input in intervention.

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Table 4 Expand

Table 5.

Summary of worker input in control.

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Table 5 Expand

Table 6.

Summary of worker input comparison.

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Table 6 Expand

Fig 4.

Worker cost savings per operation area scale.

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Fig 5.

Operations needed to recover drone costs through Worker cost savings alone.

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Table 7.

Summary of larvicide usage.

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Table 7 Expand

Fig 6.

AI Estimation and ground truth in November Takyiman.

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Fig 7.

Malaria OPD time series.

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Fig 8.

Comparison of intervention and control in 2024.

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Fig 9.

Results of entomological data collection.

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Fig 10.

Time-series comparison of captured mosquito.

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Table 8.

Contingency table of mosquito.

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Table 8 Expand