Environmental limits of Rift Valley fever revealed using ecoepidemiological mechanistic models
cg.authorship.types | CGIAR and advanced research institute | en_US |
cg.contributor.affiliation | University of Cambridge | en_US |
cg.contributor.affiliation | Public Health England | en_US |
cg.contributor.affiliation | University of Surrey | en_US |
cg.contributor.affiliation | Zoological Society of London | en_US |
cg.contributor.affiliation | International Livestock Research Institute | en_US |
cg.contributor.affiliation | University College London | en_US |
cg.contributor.crp | Agriculture for Nutrition and Health | en_US |
cg.contributor.donor | Department for International Development, United Kingdom | en_US |
cg.contributor.donor | Economic and Social Research Council, United Kingdom | en_US |
cg.contributor.donor | Natural Environment Research Council, United Kingdom | en_US |
cg.contributor.donor | Public Health England | en_US |
cg.contributor.donor | European Union | en_US |
cg.contributor.donor | Alborada Trust | en_US |
cg.contributor.donor | Medical Research Council, United Kingdom | en_US |
cg.coverage.country | Kenya | en_US |
cg.coverage.iso3166-alpha2 | KE | en_US |
cg.coverage.region | Africa | en_US |
cg.coverage.region | Eastern Africa | en_US |
cg.creator.identifier | Bernard Bett: 0000-0001-9376-2941 | en_US |
cg.creator.identifier | Delia Grace: 0000-0002-0195-9489 | en_US |
cg.howPublished | Formally Published | en_US |
cg.identifier.doi | https://doi.org/10.1073/pnas.1803264115 | en_US |
cg.isijournal | ISI Journal | en_US |
cg.issn | 0027-8424 | en_US |
cg.issue | 31 | en_US |
cg.journal | Proceedings of the National Academy of Sciences of the United States of America | en_US |
cg.reviewStatus | Peer Review | en_US |
cg.subject.ilri | ANIMAL DISEASES | en_US |
cg.subject.ilri | ENVIRONMENT | en_US |
cg.subject.ilri | EPIDEMIOLOGY | en_US |
cg.subject.ilri | RESEARCH | en_US |
cg.subject.ilri | RVF | en_US |
cg.subject.ilri | ZOONOTIC DISEASES | en_US |
cg.volume | 115 | en_US |
dc.contributor.author | Lo Iacono, G. | en_US |
dc.contributor.author | Cunningham, A.A. | en_US |
dc.contributor.author | Bett, Bernard K. | en_US |
dc.contributor.author | Grace, Delia | en_US |
dc.contributor.author | Redding, D.W. | en_US |
dc.contributor.author | Wood, J.L.N. | en_US |
dc.date.accessioned | 2018-07-20T08:47:10Z | en_US |
dc.date.available | 2018-07-20T08:47:10Z | en_US |
dc.identifier.uri | https://hdl.handle.net/10568/96206 | en_US |
dc.title | Environmental limits of Rift Valley fever revealed using ecoepidemiological mechanistic models | en_US |
dcterms.abstract | Vector-borne diseases (VBDs) of humans and domestic animals are a significant component of the global burden of disease and a key driver of poverty. The transmission cycles of VBDs are often strongly mediated by the ecological requirements of the vectors, resulting in complex transmission dynamics, including intermittent epidemics and an unclear link between environmental conditions and disease persistence. An important broader concern is the extent to which theoretical models are reliable at forecasting VBDs; infection dynamics can be complex, and the resulting systems are highly unstable. Here, we examine these problems in detail using a case study of Rift Valley fever (RVF), a high-burden disease endemic to Africa. We develop an ecoepidemiological, compartmental, mathematical model coupled to the dynamics of ambient temperature and water availability and apply it to a realistic setting using empirical environmental data from Kenya. Importantly, we identify the range of seasonally varying ambient temperatures and water-body availability that leads to either the extinction of mosquito populations and/or RVF (nonpersistent regimens) or the establishment of long-term mosquito populations and consequently, the endemicity of the RVF infection (persistent regimens). Instabilities arise when the range of the environmental variables overlaps with the threshold of persistence. The model captures the intermittent nature of RVF occurrence, which is explained as low-level circulation under the threshold of detection, with intermittent emergence sometimes after long periods. Using the approach developed here opens up the ability to improve predictions of the emergence and behaviors of epidemics of many other important VBDs. | en_US |
dcterms.accessRights | Open Access | en_US |
dcterms.audience | Scientists | en_US |
dcterms.available | 2018-07-18 | en_US |
dcterms.bibliographicCitation | Lo Iacono, G., Cunningham, A.A., Bett, B., Grace, D., Redding, D.W. and Wood, J.L.N. 2018. Environmental limits of Rift Valley fever revealed using ecoepidemiological mechanistic models. Proceedings of the National Academy of Sciences of the United States of America 115(31): E7448–E7456. | en_US |
dcterms.issued | 2018-07-31 | en_US |
dcterms.language | en | en_US |
dcterms.license | Copyrighted; all rights reserved | en_US |
dcterms.publisher | National Academy of Sciences | en_US |
dcterms.subject | environment | en_US |
dcterms.subject | research | en_US |
dcterms.subject | rift valley fever virus | en_US |
dcterms.subject | zoonoses | en_US |
dcterms.type | Journal Article | en_US |
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