Update of transmission modelling and projections of gambiense human African trypanosomiasis in the Mandoul focus, Chad

• 作者: Rock Kat S. Huang Ching-I Crump Ronald E. Bessell Paul R. Brown Paul E. Tirados Inaki Solano Philippe Antillon Marina Picado Albert Mbainda Severin Darnas Justin Crowley Emily H. Torr Steve J. Peka Mallaye
• 来源期刊: 贫困所致传染病（英文）
• 关键词: Gambiense human African trypanosomiasis (gHAT) Modelling Elimination of transmission Validation Tsetse Vector control Glossina Diagnostics
• 年，卷（期）: 2022,（1）
• 所属期刊栏目: Research Article
• 页码范围: 34-46
• 页数: 13页
• 语种: 中文
• DOI: 10.1186/s40249-022-00934-8

摘要

Background::In recent years, a programme of vector control, screening and treatment of gambiense human African trypanosomiasis (gHAT) infections led to a rapid decline in cases in the Mandoul focus of Chad. To represent the biology of transmission between humans and tsetse, we previously developed a mechanistic transmission model, fitted to data between 2000 and 2013 which suggested that transmission was interrupted by 2015. The present study outlines refinements to the model to: (1) Assess whether elimination of transmission has already been achieved despite low-level case reporting; (2) quantify the role of intensified interventions in transmission reduction; and (3) predict the trajectory of gHAT in Mandoul for the next decade under different strategies. Method::Our previous gHAT transmission model for Mandoul was updated using human case data (2000-2019) and a series of model refinements. These include how diagnostic specificity is incorporated into the model and improvements to the fitting method (increased variance in observed case reporting and how underreporting and improvements to passive screening are captured). A side-by-side comparison of fitting to case data was performed between the models.Results::We estimated that passive detection rates have increased due to improvements in diagnostic availability in fixed health facilities since 2015, by 2.1-fold for stage 1 detection, and 1.5-fold for stage 2. We find that whilst the diagnostic algorithm for active screening is estimated to be highly specific (95% credible interval ( CI):99.9-100%, Specificity = 99.9%), the high screening and low infection levels mean that some recently reported cases with no parasitological confirmation might be false positives. We also find that the focus-wide tsetse reduction estimated through model fitting (95% CI :96.1-99.6%, Reduction = 99.1%) is comparable to the reduction previously measured by the decline in tsetse catches from monitoring traps. In line with previous results, the model suggests that transmission was interrupted in 2015 due to intensified interventions. Conclusions::We recommend that additional confirmatory testing is performed in Mandoul to ensure the endgame can be carefully monitored. More specific measurement of cases, would better inform when it is safe to stop active screening and vector control, provided there is a strong passive surveillance system in place.