Slaving and release in co-infection control


Autoria(s): Yakob, Laith; Williams, Gail M.; Gray, Darren J.; Halton, Kate; Solon, Juan A.; Clements, Archie C.A.
Data(s)

31/05/2013

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

http://eprints.qut.edu.au/75188/

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