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PLoS neglected tropical diseases· 2026Q1

Cost-effectiveness of end-game strategies against sleeping sickness across the Democratic Republic of Congo

Marina Antillón, Ching-I Huang, Samuel A. Sutherland, R. E. Crump et al.

Short summary

Strategies maximizing the probability of eliminating gambiense human African trypanosomiasis (gHAT) by 2030 are predicted to achieve elimination in 134 out of 165 health zones in the DRC, costing $185M by 2040, and reducing deaths by 68% compared to status quo.

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Key points

  • Elimination strategies maximizing the probability of gHAT elimination by 2030 are predicted to succeed in 134 of 165 health zones in the DRC.
  • Achieving gHAT elimination by 2030 is projected to cost $185M (95% PI: $111M-309M) by 2040.
  • These strategies are predicted to reduce gHAT deaths by 68%, from 7979 to 2576.
  • A more lenient 2040 elimination timeline would achieve elimination in 152 health zones at a cost of $158M, but 13 zones would still fall short.

AI-generated from the title and abstract; the full text is not read.

Abstract

BACKGROUND: Gambiense human African trypanosomiasis (gHAT) is marked for elimination of transmission (EoT) by 2030. We examined the cost-effectiveness (CE) of EoT in the Democratic Republic of Congo, the country with the highest burden. METHODS: In 165 health zones (HZs), we modelled the transmission dynamics, health outcomes, and economic costs of six strategies during 2026-40, including cessation activities once reported cases reach zero. Uncertainty in CE was assessed within the net monetary framework, presenting optimal strategies across willingness-to-pay (WTP) values, in costs per disability-adjusted life-year averted. We assessed the optimal strategy for CE and EoT in each health zone separately, but present results by health zone, by coordination, and for the whole country. RESULTS: Status Quo strategies, CE strategies (WTP = $500), and strategies that maximise the probability of EoT by 2030 are predicted to yield EoT by 2030 in 118 HZs, 123 HZs, and 134 HZs respectively, at a cost by 2040 of $67.8M [95% PI: $36.7M-113M], $93.3M [95% PI: $51.6M-153M], $185M [95% PI: $111M-309M]. A more lenient timeline of EoT by 2040 would lead to EoT in 152 HZs at a cost of $158M [95% PI: $91.6-265M], leaving 13 HZs shy of the goal. Costs would have to be front-loaded; in 2026, while Status Quo strategies would cost $8.75M [95% PI: $7.01M-11.2M], elimination strategies would cost $27.0 [95% PI: $21.0M-35.2M]. Investing in EoT by 2030 is predicted to reduce 68% of gHAT deaths from 7979 [95% PI: 770-27,868] with Status Quo strategies to 2576 [95% PI: 255-9133]. CONCLUSIONS: Current tools could make considerable progress to maximise the probability of EoT by 2030, but novel tools could help in select health zones that are facing a low probability of EoT even with more ambitious strategies.

The authors' abstract, as published at the source. PLoS neglected tropical diseases, 2026 · DOI ↗

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Field: Epidemiology

EpidemiologyMedicine