Modelling to Quantify the Likelihood that Local Elimination of Transmission has Occurred Using Routine Gambiense Human African Trypanosomiasis Surveillance Data | Zendy

Christopher N. Davis | Zendy; Soledad Castaño | Zendy; Maryam Aliee | Zendy; Swati Patel | Zendy; Erick Mwamba Miaka | Zendy; Matt J. Keeling | Zendy; Simon E. F. Spencer | Zendy; Nakul Chitnis | Zendy; Kat S. Rock | Zendy

Open Access

Modelling to Quantify the Likelihood that Local Elimination of Transmission has Occurred Using Routine Gambiense Human African Trypanosomiasis Surveillance Data

Author(s) -

Christopher N. Davis,

Soledad Castaño,

Maryam Aliee,

Swati Patel,

Erick Mwamba Miaka,

Matt J. Keeling,

Simon E. F. Spencer,

Nakul Chitnis,

Kat S. Rock

Publication year - 2021

Publication title -

clinical infectious diseases

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.44

H-Index - 336

eISSN - 1537-6591

pISSN - 1058-4838

DOI - 10.1093/cid/ciab190

Subject(s) - transmission (telecommunications) , epidemiological surveillance , statistics , medicine , geography , demography , environmental health , econometrics , epidemiology , computer science , mathematics , telecommunications , sociology

The gambiense human African trypanosomiasis (gHAT) elimination programme in the Democratic Republic of Congo (DRC) routinely collects case data through passive surveillance and active screening, with several regions reporting no cases for several years, despite being endemic in the early 2000s.

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