About: Using dimension reduction to improve outbreak predictability of multistrain diseases

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Using dimension reduction to improve outbreak predictability of multistrain diseases
Creator	Billings, Lora Shaw, L Schwartz, Ira Billings, L Schwartz, I Shaw, Leah
topic	covid:1729909e30f65c7371cc9c3fed9e91ca51f68ecd#this
Source	Medline; PMC
abstract	Multistrain diseases have multiple distinct coexisting serotypes (strains). For some diseases, such as dengue fever, the serotypes interact by antibody-dependent enhancement (ADE), in which infection with a single serotype is asymptomatic, but contact with a second serotype leads to higher viral load and greater infectivity. We present and analyze a dynamic compartmental model for multiple serotypes exhibiting ADE. Using center manifold techniques, we show how the dynamics rapidly collapses to a lower dimensional system. Using the constructed reduced model, we can explain previously observed synchrony between certain classes of primary and secondary infectives (Schwartz et al. in Phys Rev E 72:066201, 2005). Additionally, we show numerically that the center manifold equations apply even to noisy systems. Both deterministic and stochastic versions of the model enable prediction of asymptomatic individuals that are difficult to track during an epidemic. We also show how this technique may be applicable to other multistrain disease models, such as those with cross-immunity.
has issue date	2007-02-22(xsd:dateTime)
bibo:doi	10.1007/s00285-007-0074-x
bibo:pmid	17318630
has license	no-cc
sha1sum (hex)	1729909e30f65c7371cc9c3fed9e91ca51f68ecd
schema:url	https://doi.org/10.1007/s00285-007-0074-x
resource representing a document's title	Using dimension reduction to improve outbreak predictability of multistrain diseases
has PubMed Central identifier	PMC7080105
has PubMed identifier	17318630
schema:publication	J Math Biol
resource representing a document's body	covid:1729909e30f65c7371cc9c3fed9e91ca51f68ecd#body_text
is http://vocab.deri.ie/void#inDataset of	proxy:http/ns.inria.fr/covid19/1729909e30f65c7371cc9c3fed9e91ca51f68ecd
is schema:about of	named entity 'asymptomatic' named entity 'improve' named entity 'Mathematical Biology' named entity 'TECHNIQUES' named entity 'DYNAMIC' named entity 'PRESENT' named entity 'COMPARTMENTAL MODEL' named entity 'ENABLE' named entity 'ASYMPTOMATIC' named entity 'DYNAMICS' named entity 'DENGUE FEVER' named entity 'ANTIBODY-DEPENDENT ENHANCEMENT' named entity 'CLASSES' named entity 'MANIFOLD' named entity 'model' named entity 'constructed' named entity 'prediction' named entity 'equations' named entity 'track' named entity 'systems' named entity 'serotypes' named entity 'stochastic' named entity 'viral load' named entity 'infectivity' named entity 'interact' named entity 'asymptomatic' named entity 'serotypes' named entity 'center manifold' named entity 'serotypes' named entity 'serotypes' named entity 'dengue fever' named entity 'dimension reduction' named entity 'ordinary differential equations' named entity 'epidemic' named entity 'dengue' named entity 'cross-reactive' named entity 'stochastic' named entity 'disease monitoring' named entity 'antibody-dependent enhancement' named entity 'fixed point' named entity 'serotypes' named entity 'serotype' named entity 'serotypes' named entity 'natural log' named entity 'center manifold' named entity 'birth rate' named entity 'serotype' named entity 'serotype' named entity 'blood samples' named entity 'time intervals' named entity 'ADE' named entity 'dengue fever' named entity 'infection' named entity 'serotypes' named entity 'serotypes' named entity 'linearly independent' named entity 'center manifold' named entity 'severe acute respiratory syndrome' named entity 'viruses' named entity 'center manifold' named entity 'chaotic behavior' named entity 'center manifold' named entity 'serotype' named entity 'steady state' named entity 'H5N1' named entity 'endemic steady state' named entity 'ADE' named entity 'SIR model' named entity 'center manifold' named entity 'ADE' named entity 'secondary infection' named entity 'linearly dependent' named entity 'cross-immunity' named entity 'serotype'

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