In this section
@article{Stapley:2025:10.1371/journal.pcbi.1013026,
author = {Stapley, J and Hamley, JID and Basáñez, M-G and Walker, M},
doi = {10.1371/journal.pcbi.1013026},
journal = {PLoS Computational Biology},
title = {Modelling transmission thresholds and hypoendemic stability for onchocerciasis elimination},
url = {http://dx.doi.org/10.1371/journal.pcbi.1013026},
volume = {21},
year = {2025}
}
TY - JOUR
AB - The World Health Organization (WHO) has proposed elimination of onchocerciasis transmission (EOT) in a third of endemic countries by 2030. This requires country-wide verification of EOT. Prior to the shift from morbidity control to EOT, interventions in Africa were mostly targeted at moderate- to high-transmission settings, where morbidity was most severe. Consequently, there remain numerous low transmission (hypoendemic) settings which have hitherto not received mass drug administration (MDA) with ivermectin. The WHO has prioritised the delineation of hypoendemic settings to ascertain treatment needs. However, the stability of transmission at such low levels remains poorly understood. We use the stochastic EPIONCHO-IBM transmission model to characterise the stability of transmission dynamics in hypoendemic settings and identify a range of threshold biting rates (TBRs, the annual vector biting rates below which transmission cannot be sustained). We show how TBRs are dependent on population size, inter-individual exposure heterogeneity and simulation time. In contrast with deterministic expectations, there is no fixed TBR; instead, transmission can persist between 70 and 300 bites/person/year. Using survivorship models on data generated from model simulations, we find that multiple vector biting rates can sustain hypoendemic prevalence for several decades. These findings challenge the assumption that hypoendemic foci would naturally fade out following treatment in nearby higher-endemicity regions. Our modelling suggests that, to achieve EOT, treatment should be extended to all areas where endogenous infection is identified, emphasising the need for improved diagnostic tools suitable for detecting low-prevalence infection and for strategies that allow safe treatment of communities where MDA would not be suitable.
AU - Stapley,J
AU - Hamley,JID
AU - Basáñez,M-G
AU - Walker,M
DO - 10.1371/journal.pcbi.1013026
PY - 2025///
SN - 1553-734X
TI - Modelling transmission thresholds and hypoendemic stability for onchocerciasis elimination
T2 - PLoS Computational Biology
UR - http://dx.doi.org/10.1371/journal.pcbi.1013026
UR - https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013026
VL - 21
ER -
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