BACKGROUND: Gambiense human African trypanosomiasis ([gHAT] sleeping sickness) is a vector-borne disease that is typically fatal without treatment. Intensified, mainly medical-based, interventions in endemic areas have reduced the occurrence of gHAT to historically low levels. However, persistent regions, primarily in the Democratic Republic of Congo (DRC), remain a challenge to achieving the World Health Organization's goal of global elimination of transmission (EOT).
METHODS: We used stochastic models of gHAT transmission fitted to DRC case data and explored patterns of regional reporting and extinction. The time to EOT at a health zone scale (~100 000 people) and how an absence of reported cases informs about EOT was quantified.
RESULTS: Regional epidemiology and level of active screening (AS) both influenced the predicted time to EOT. Different AS cessation criteria had similar expected infection dynamics, and recrudescence of infection was unlikely. However, whether EOT has been achieved when AS ends is critically dependent on the stopping criteria. Two or three consecutive years of no detected cases provided greater confidence of EOT compared with a single year (~66%-75% and ~82%-84% probability of EOT, respectively, compared with 31%-51%).
CONCLUSIONS: Multiple years of AS without case detections is a valuable measure to assess the likelihood that the EOT target has been met locally.
BT - The Journal of infectious diseases C1 - https://www.ncbi.nlm.nih.gov/pubmed/31876949 DA - 12/2019 DO - 10.1093/infdis/jiz588 J2 - J. Infect. Dis. LA - eng N2 -BACKGROUND: Gambiense human African trypanosomiasis ([gHAT] sleeping sickness) is a vector-borne disease that is typically fatal without treatment. Intensified, mainly medical-based, interventions in endemic areas have reduced the occurrence of gHAT to historically low levels. However, persistent regions, primarily in the Democratic Republic of Congo (DRC), remain a challenge to achieving the World Health Organization's goal of global elimination of transmission (EOT).
METHODS: We used stochastic models of gHAT transmission fitted to DRC case data and explored patterns of regional reporting and extinction. The time to EOT at a health zone scale (~100 000 people) and how an absence of reported cases informs about EOT was quantified.
RESULTS: Regional epidemiology and level of active screening (AS) both influenced the predicted time to EOT. Different AS cessation criteria had similar expected infection dynamics, and recrudescence of infection was unlikely. However, whether EOT has been achieved when AS ends is critically dependent on the stopping criteria. Two or three consecutive years of no detected cases provided greater confidence of EOT compared with a single year (~66%-75% and ~82%-84% probability of EOT, respectively, compared with 31%-51%).
CONCLUSIONS: Multiple years of AS without case detections is a valuable measure to assess the likelihood that the EOT target has been met locally.
PY - 2019 T2 - The Journal of infectious diseases TI - Screening Strategies for a Sustainable Endpoint for Gambiense Sleeping Sickness. UR - https://watermark.silverchair.com/jiz588.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAnAwggJsBgkqhkiG9w0BBwagggJdMIICWQIBADCCAlIGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQMq0HIdyDJn5cEl4wNAgEQgIICI0itKJntLy5a3jYD-Ne8nVXlh8FDQcFmdCKUCfT9gPaE10Y6 SN - 1537-6613 ER -