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  5. Modelling exposure heterogeneity and density dependence in onchocerciasis using a novel individual-based transmission model, EPIONCHO-IBM: Implications for elimination and data needs
 
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Modelling exposure heterogeneity and density dependence in onchocerciasis using a novel individual-based transmission model, EPIONCHO-IBM: Implications for elimination and data needs
File(s)
Hamley et al. (2019) PLoS NTDs (EPIONCHO-IBM).pdf (6.05 MB)
Published version
Author(s)
Hamley, Jonathan ID
Milton, Philip
Walker, Martin
Basáñez, Maria-Gloria
Type
Journal Article
Abstract
Background
Density dependence in helminth establishment and heterogeneity in exposure to infection are known to drive resilience to interventions based on mass drug administration (MDA). However, the interaction between these processes is poorly understood. We developed a novel individual-based model for onchocerciasis transmission, EPIONCHO-IBM, which accounts for both processes. We fit the model to pre-intervention epidemiological data and explore parasite dynamics during MDA with ivermectin.

Methodology/Principal findings
Density dependence and heterogeneity in exposure to blackfly (vector) bites were estimated by fitting the model to matched pre-intervention microfilarial prevalence, microfilarial intensity and vector biting rate data from savannah areas of Cameroon and Côte d’Ivoire/Burkina Faso using Latin hypercube sampling. Transmission dynamics during 25 years of annual and biannual ivermectin MDA were investigated. Density dependence in parasite establishment within humans was estimated for different levels of (fixed) exposure heterogeneity to understand how parametric uncertainty may influence treatment dynamics. Stronger overdispersion in exposure to blackfly bites results in the estimation of stronger density-dependent parasite establishment within humans, consequently increasing resilience to MDA. For all levels of exposure heterogeneity tested, the model predicts a departure from the functional forms for density dependence assumed in the deterministic version of the model.

Conclusions/Significance
This is the first, stochastic model of onchocerciasis, that accounts for and estimates density-dependent parasite establishment in humans alongside exposure heterogeneity. Capturing the interaction between these processes is fundamental to our understanding of resilience to MDA interventions. Given that uncertainty in these processes results in very different treatment dynamics, collecting data on exposure heterogeneity would be essential for improving model predictions during MDA. We discuss possible ways in which such data may be collected as well as the importance of better understanding the effects of immunological responses on establishing parasites prior to and during ivermectin treatment.
Date Issued
2019-12-05
Date Acceptance
2019-06-18
Citation
PLoS Neglected Tropical Diseases, 2019, 13 (12), pp.e0007557-e0007557
URI
http://hdl.handle.net/10044/1/75612
URL
https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0007557
DOI
https://www.dx.doi.org/10.1371/journal.pntd.0007557
ISSN
1935-2727
Publisher
Public Library of Science
Start Page
e0007557
End Page
e0007557
Journal / Book Title
PLoS Neglected Tropical Diseases
Volume
13
Issue
12
Copyright Statement
© 2019 Hamley et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Sponsor
The Task Force for Global Health
Medical Research Council (MRC)
The Task Force for Global Health
Identifier
https://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0007557
Grant Number
MA4501180169
MR/R015600/1
1708CR001/VP1 (OPP1184344)
Subjects
Tropical Medicine
06 Biological Sciences
11 Medical and Health Sciences
Publication Status
Published online
Date Publish Online
2019-12-05
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