About: Evolutionary longitudinal network dynamics of global zoonotic research

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About: Evolutionary longitudinal network dynamics of global zoonotic research Goto Sponge NotDistinct Permalink

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	Evolutionary longitudinal network dynamics of global zoonotic research
Creator	Crawford, J Crawford, John Hossain, L Hossain, Liaquat Karimi, F Karimi, Faezeh Wigand, R Wigand, Rolf
Source	Medline; PMC
abstract	At global and local levels, we are observing an increasing range and rate of disease outbreaks that show evidence of jumping from animals to humans, and from food to humans. Zoonotic infections (i.e. Hendra, swine flu, anthrax) affect animal health and can be deadly to humans. The increasing rate of outbreaks of infectious diseases transferring from animals to humans (i.e. zoonotic diseases) necessitates detailed understanding of the education, research and practice of animal health and its connection to human health. These emerging microbial threats underline the need to exploring the evolutionary dynamics of zoonotic research across public health and animal health. This study investigates the collaboration network of different countries engaged in conducting zoonotic research. We explore the dynamics of this network from 1980 to 2012 based on large scientific data developed from Scopus. In our analyses, we compare several properties of the network including density, clustering coefficient, giant component and centrality measures over time. We also map the network over different time intervals using VOSviewer. We analyzed 5182 publication records. We found United States and United Kingdom as the most collaborative countries working with 110 and 74 other countries in 1048 and 599 cases, respectively. Our results show increasing close collaboration among scientists from the United States, several European countries including United Kingdom, Italy, France, Netherland, Switzerland, China and Australia with scientists from other parts of the world.
has issue date	2015-03-18(xsd:dateTime)
bibo:doi	10.1007/s11192-015-1557-y
bibo:pmid	32214547
has license	no-cc
sha1sum (hex)	3f278f89e4b5a324d1e5624eb7629d58e1d9b7ce
schema:url	https://doi.org/10.1007/s11192-015-1557-y
resource representing a document's title	Evolutionary longitudinal network dynamics of global zoonotic research
has PubMed Central identifier	PMC7088546
has PubMed identifier	32214547
schema:publication	Scientometrics
resource representing a document's body	covid:3f278f89e4b5a324d1e5624eb7629d58e1d9b7ce#body_text
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