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

The SIR-compartment model is among the simplest models that describe thespread of a disease through a population. The model makes the unrealisticassumption that the population through which the disease is spreading iswell-mixed. Although real populations have heterogeneities in contacts notrepresented in the SIR model, it nevertheless well fits real U.S. state data atmultiple points throughout the pandemic. Here we demonstrate mathematically howclosely the simple continuous SIR model approximates a model which includesheterogeneous contacts, and provide insight onto how one can interpretparameters gleaned from regression in the context of heterogeneous dynamics.

Modeling Insights from COVID-19 Incidence Data: Part II -- Why are compartment models so accurate?