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DOI 10.1371/journal.pntd.0014777

Медицинская библиотека · PLoS neglected tropical diseases · 2026

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

Antillon Marina, Huang Ching-I, Sutherland Samuel A, Crump Ronald E, Brown Paul E, Bessell Paul R, Crowley Emily H, Snijders Rian, Hope Andrew, Tirados Iñaki, Dunkley Sophie, Verle Paul, Lebuki Junior, Shampa Chansy, Miaka Erick Mwamba, Tediosi Fabrizio, Rock Kat S

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Аннотация

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 with a high 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 are facing a low probability of EoT even with more ambitious strategies.

Для цитирования: Antillon Marina, Huang Ching-I, Sutherland Samuel A, Crump Ronald E, Brown Paul E, Bessell Paul R, Crowley Emily H, Snijders Rian, Hope Andrew, Tirados Iñaki, Dunkley Sophie, Verle Paul, Lebuki Junior, Shampa Chansy, Miaka Erick Mwamba, Tediosi Fabrizio, Rock Kat S. Cost-effectiveness of end-game strategies against sleeping sickness across the Democratic Republic of Congo.. PLoS neglected tropical diseases. 2026. DOI: 10.1371/journal.pntd.0014777.
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