Publication:
Opportunities and challenges for modelling epidemiological and evolutionary dynamics in a multihost, multiparasite system: Zoonotic hybrid schistosomiasis in West Africa

dc.contributor.authorAnna Borlaseen_US
dc.contributor.authorJoanne P. Websteren_US
dc.contributor.authorJames W. Rudgeen_US
dc.contributor.otherLondon School of Hygiene & Tropical Medicineen_US
dc.contributor.otherRoyal Veterinary College University of Londonen_US
dc.contributor.otherImperial College Londonen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2019-08-23T10:18:14Z
dc.date.available2019-08-23T10:18:14Z
dc.date.issued2018-04-01en_US
dc.description.abstract© 2017 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd Multihost multiparasite systems are evolutionarily and ecologically dynamic, which presents substantial trans-disciplinary challenges for elucidating their epidemiology and designing appropriate control. Evidence for hybridizations and introgressions between parasite species is gathering, in part in line with improvements in molecular diagnostics and genome sequencing. One major system where this is becoming apparent is within the Genus Schistosoma, where schistosomiasis represents a disease of considerable medical and veterinary importance, the greatest burden of which occurs in sub-Saharan Africa. Interspecific hybridizations and introgressions bring an increased level of complexity over and above that already inherent within multihost, multiparasite systems, also representing an additional source of genetic variation that can drive evolution. This has the potential for profound implications for the control of parasitic diseases, including, but not exclusive to, widening host range, increased transmission potential and altered responses to drug therapy. Here, we present the challenging case example of haematobium group Schistosoma spp. hybrids in West Africa, a system involving multiple interacting parasites and multiple definitive hosts, in a region where zoonotic reservoirs of schistosomiasis were not previously considered to be of importance. We consider how existing mathematical model frameworks for schistosome transmission could be expanded and adapted to zoonotic hybrid systems, exploring how such model frameworks can utilize molecular and epidemiological data, as well as the complexities and challenges this presents. We also highlight the opportunities and value such mathematical models could bring to this and a range of similar multihost, multi and cross-hybridizing parasites systems in our changing world.en_US
dc.identifier.citationEvolutionary Applications. Vol.11, No.4 (2018), 501-515en_US
dc.identifier.doi10.1111/eva.12529en_US
dc.identifier.issn17524571en_US
dc.identifier.issn17524563en_US
dc.identifier.other2-s2.0-85029114737en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/44785
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85029114737&origin=inwarden_US
dc.subjectAgricultural and Biological Sciencesen_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.titleOpportunities and challenges for modelling epidemiological and evolutionary dynamics in a multihost, multiparasite system: Zoonotic hybrid schistosomiasis in West Africaen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85029114737&origin=inwarden_US

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