Mathematical Models in Infectious Disease Epidemiology
Identifieur interne : 002D57 ( Main/Exploration ); précédent : 002D56; suivant : 002D58Mathematical Models in Infectious Disease Epidemiology
Auteurs : Mirjam Kretzschmar [Pays-Bas] ; Jacco Wallinga [Pays-Bas]Source :
- Statistics for Biology and Health [ 1431-8776 ]
Abstract
Abstract: The idea that transmission and spread of infectious diseases follows laws that can be formulated in mathematical language is old. In 1766 Daniel Bernoulli published an article where he described the effects of smallpox variolation (a precursor of vaccination) on life expectancy using mathematical life table analysis (Dietz and Heesterbeek 2000). However, it was only in the twentieth century that the nonlinear dynamics of infectious disease transmission was really understood. In the beginning of that century there was much discussion about why an epidemic ended before all susceptibles were infected with hypotheses about changing virulence of the pathogen during the epidemic.
Url:
DOI: 10.1007/978-0-387-93835-6_12
Affiliations:
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(formerly:Statist.i.Health Scienc.)</title><idno type="ISSN">1431-8776</idno><idno type="ISSN">1431-8776</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1431-8776</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: The idea that transmission and spread of infectious diseases follows laws that can be formulated in mathematical language is old. In 1766 Daniel Bernoulli published an article where he described the effects of smallpox variolation (a precursor of vaccination) on life expectancy using mathematical life table analysis (Dietz and Heesterbeek 2000). However, it was only in the twentieth century that the nonlinear dynamics of infectious disease transmission was really understood. In the beginning of that century there was much discussion about why an epidemic ended before all susceptibles were infected with hypotheses about changing virulence of the pathogen during the epidemic.</div></front></TEI><affiliations><list><country><li>Pays-Bas</li></country><region><li>Utrecht (province)</li></region><settlement><li>Utrecht</li></settlement></list><tree><country name="Pays-Bas"><region name="Utrecht (province)"><name sortKey="Kretzschmar, Mirjam" sort="Kretzschmar, Mirjam" uniqKey="Kretzschmar M" first="Mirjam" last="Kretzschmar">Mirjam Kretzschmar</name></region><name sortKey="Kretzschmar, Mirjam" sort="Kretzschmar, Mirjam" uniqKey="Kretzschmar M" first="Mirjam" last="Kretzschmar">Mirjam Kretzschmar</name><name sortKey="Kretzschmar, Mirjam" sort="Kretzschmar, Mirjam" uniqKey="Kretzschmar M" first="Mirjam" last="Kretzschmar">Mirjam Kretzschmar</name><name sortKey="Wallinga, Jacco" sort="Wallinga, Jacco" uniqKey="Wallinga J" first="Jacco" last="Wallinga">Jacco Wallinga</name><name sortKey="Wallinga, Jacco" sort="Wallinga, Jacco" uniqKey="Wallinga J" first="Jacco" last="Wallinga">Jacco Wallinga</name><name sortKey="Wallinga, Jacco" sort="Wallinga, Jacco" uniqKey="Wallinga J" first="Jacco" last="Wallinga">Jacco Wallinga</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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