English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We develop a multiple compartment Susceptible-Infected-Recovered (SIR) modelto analyze the spread of several infectious diseases through differentgeographic areas. Additionally, we propose a data-quality sensitiveoptimization framework for fitting this model to observed data.  We fit the model to the temporal profile of the number of people infected byone of six influenza strains in Europe over $7$ influenza seasons. In additionto describing the temporal and spatial spread of influenza, the model providesan estimate of the inter-country and intra-country infection and recovery ratesof each strain and in each season. We find that disease parameters remainrelatively stable, with a correlation greater than $0.5$ over seasons andstains. Clustering of influenza strains by the inferred disease parameters isconsistent with genome sub-types. Surprisingly, our analysis suggests thatinter-country human mobility plays a negligible role in the spread of influenzain Europe. Finally, we show that the model allows the estimation of diseaseload in countries with poor or none existent data from the disease load inadjacent countries.  Our findings reveal information on the spreading mechanism of influenza andon disease parameters. These can be used to assist in disease surveillance andin control of influenza as well as of other infectious pathogens in aheterogenic environment.

On the use of multiple compartment epidemiological models to describe the dynamics of influenza in Europe