This HTML5 document contains 6 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

PrefixNamespace IRI
dcthttp://purl.org/dc/terms/
fabiohttp://purl.org/spar/fabio/
n2http://ns.inria.fr/covid19/19309e31746ed40aa163026fe7e6b522184fce54#
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
frbrhttp://purl.org/vocab/frbr/core#
covidhttp://ns.inria.fr/covid19/
xsdhhttp://www.w3.org/2001/XMLSchema#
Subject Item
n2:abstract
rdf:type
fabio:Abstract
rdf:value
Influenza A (H1N1) was spread widely between cities and towns by road traffic and had a major impact on public health in China in 2009. Understanding regulation of its transmission is of great significance with urbanization ongoing and for mitigation of damage by the epidemic. We analyzed influenza A (H1N1) spatiotemporal transmission and risk factors along roads in Changsha, and combined diffusion velocity and floating population size to construct an epidemic diffusion model to simulate its transmission between cities and towns. The results showed that areas along the highways and road intersections had a higher incidence rate than other areas. Expressways and county roads played an important role in the rapid development stage and the epidemic peak, respectively, and intercity bus stations showed a high risk of disease transmission. The model simulates the intensity and center of disease outbreaks in cities and towns, and provides a more complete simulation of the disease spatiotemporal process than other models.
dct:subject
Climate change mitigation Hygiene Roads
frbr:partOf
covid:19309e31746ed40aa163026fe7e6b522184fce54