Slaving and release in co-infection control
Data(s) |
31/05/2013
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Resumo |
Background Animal and human infection with multiple parasite species is the norm rather than the exception, and empirical studies and animal models have provided evidence for a diverse range of interactions among parasites. We demonstrate how an optimal control strategy should be tailored to the pathogen community and tempered by species-level knowledge of drug sensitivity with use of a simple epidemiological model of gastro-intestinal nematodes. Methods We construct a fully mechanistic model of macroparasite co-infection and use it to explore a range of control scenarios involving chemotherapy as well as improvements to sanitation. Results Scenarios are presented whereby control not only releases a more resistant parasite from antagonistic interactions, but risks increasing co-infection rates, exacerbating the burden of disease. In contrast, synergisms between species result in their becoming epidemiologically slaved within hosts, presenting a novel opportunity for controlling drug resistant parasites by targeting co-circulating species. Conclusions Understanding the effects on control of multi-parasite species interactions, and vice versa, is of increasing urgency in the advent of integrated mass intervention programmes. |
Formato |
application/pdf |
Identificador | |
Publicador |
BioMed Central Ltd |
Relação |
http://eprints.qut.edu.au/75188/1/Slaving_Release_Manuscript_submitted.pdf DOI:10.1186/1756-3305-6-157 Yakob, Laith, Williams, Gail M., Gray, Darren J., Halton, Kate, Solon, Juan A., & Clements, Archie C.A. (2013) Slaving and release in co-infection control. Parasites & Vectors, 6(157). http://purl.org/au-research/grants/NHMRC/APP1006254 |
Direitos |
Copyright 2013 Yakob et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Fonte |
Faculty of Health; Institute of Health and Biomedical Innovation; School of Public Health & Social Work |
Palavras-Chave | #010299 Applied Mathematics not elsewhere classified #110309 Infectious Diseases #111706 Epidemiology #111799 Public Health and Health Services not elsewhere classified #nematode #mathematical model #infectious disease #epidemiology #drug resistance #next generation matrix |
Tipo |
Journal Article |