Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends

Dixon, M A; Winskill, P; Harrison, W E; Whittaker, C; Schmidt, V; Sarti, E; Bawm, S; Dione, M M; Thomas, L F; Walker, M; Basáñez, M G

Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends

Dixon, M A; Winskill, P; Harrison, W E; Whittaker, C; Schmidt, V; Sarti, E; Bawm, S; Dione, M M; Thomas, L F; Walker, M; Basáñez, M G

Authors

M A Dixon

P Winskill

W E Harrison

C Whittaker

V Schmidt

E Sarti

S Bawm

M M Dione

L F Thomas

M Walker

M G Basáñez

Abstract

Abstract: The World Health Organization (WHO) called, in 2012, for a validated strategy towards Taenia solium taeniasis/cysticercosis control and elimination. Estimating pig force-of-infection (FoI, the average rate at which susceptible pigs become infected) across geographical settings will help understand local epidemiology and inform effective intervention design. Porcine cysticercosis (PCC) age-prevalence data (from 15 studies in Latin America, Africa and Asia) were identified through systematic review. Catalytic models were fitted to the data using Bayesian methods, incorporating uncertainty in diagnostic performance, to estimate rates of antibody seroconversion, viable metacestode acquisition, and seroreversion/infection loss. There was evidence of antibody seroreversion across 5 studies, and of infection loss in 6 studies measured by antigen or necropsy, indicating transient serological responses and natural resolution of infection. Concerted efforts should be made to collect robust data using improved diagnostics to better understand geographical heterogeneities in T. solium transmission to support post-2020 WHO targets.

Citation

Dixon, M. A., Winskill, P., Harrison, W. E., Whittaker, C., Schmidt, V., Sarti, E., Bawm, S., Dione, M. M., Thomas, L. F., Walker, M., & Basáñez, M. G. (2020). Force-of-infection of Taenia solium porcine cysticercosis: a modelling analysis to assess global incidence and prevalence trends. Scientific Reports, 10(1), 17637

Journal Article Type	Article
Acceptance Date	Sep 14, 2020
Publication Date	Oct 19, 2020
Deposit Date	Oct 29, 2020
Publicly Available Date	Oct 29, 2020
Journal	Scientific Reports
Electronic ISSN	2045-2322
Publisher	Nature Research
Peer Reviewed	Peer Reviewed
Volume	10
Issue	1
Pages	17637
Keywords	Article, /692/700/478/174, /639/705, article
Public URL	https://rvc-repository.worktribe.com/output/1375108