Basic Knowledge and Developing Tendencies in Epidemic Dynamics
Identifieur interne : 000149 ( Pmc/Curation ); précédent : 000148; suivant : 000150Basic Knowledge and Developing Tendencies in Epidemic Dynamics
Auteurs :Source :
- Mathematics for Life Science and Medicine ; 2007.
Abstract
Infectious diseases have been a ferocious enemy since time immemorial. To prevent and control the spread of infectious diseases, epidemic dynamics has played an important role on investigating the transmission of infectious diseases, predicting the developing tendencies, estimating the key parameters from data published by health departments, understanding the transmission characteristics, and implementing the measures for prevention and control. In this chapter, some basic ideas of modelling the spread of infectious diseases, the main concepts of epidemic dynamics, and some developing tendencies in the study of epidemic dynamics are introduced, and some results with respect to the spread of SARS in China are given.
Url:
DOI: 10.1007/978-3-540-34426-1_2
PubMed: NONE
PubMed Central: 7123007
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Basic Knowledge and Developing Tendencies in Epidemic Dynamics</title></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">7123007</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7123007</idno><idno type="RBID">PMC:7123007</idno><idno type="doi">10.1007/978-3-540-34426-1_2</idno><idno type="pmid">NONE</idno><date when="2007">2007</date><idno type="wicri:Area/Pmc/Corpus">000149</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000149</idno><idno type="wicri:Area/Pmc/Curation">000149</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000149</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Basic Knowledge and Developing Tendencies in Epidemic Dynamics</title></analytic><series><title level="j">Mathematics for Life Science and Medicine</title><imprint><date when="2007">2007</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Summary</title><p>Infectious diseases have been a ferocious enemy since time immemorial. To prevent and control the spread of infectious diseases, epidemic dynamics has played an important role on investigating the transmission of infectious diseases, predicting the developing tendencies, estimating the key parameters from data published by health departments, understanding the transmission characteristics, and implementing the measures for prevention and control. In this chapter, some basic ideas of modelling the spread of infectious diseases, the main concepts of epidemic dynamics, and some developing tendencies in the study of epidemic dynamics are introduced, and some results with respect to the spread of SARS in China are given.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Allen, L J S" uniqKey="Allen L">L. J. S. Allen</name></author><author><name sortKey="Thrasher, D B" uniqKey="Thrasher D">D. B. 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<front><journal-meta><journal-id journal-id-type="publisher-id">978-3-540-34426-1</journal-id><journal-id journal-id-type="doi">10.1007/978-3-540-34426-1</journal-id><journal-id journal-id-type="nlm-ta">Mathematics for Life Science and Medicine</journal-id><journal-title-group><journal-title>Mathematics for Life Science and Medicine</journal-title></journal-title-group><isbn publication-format="print">978-3-540-34425-4</isbn><isbn publication-format="electronic">978-3-540-34426-1</isbn></journal-meta><article-meta><article-id pub-id-type="pmc">7123007</article-id><article-id pub-id-type="publisher-id">2</article-id><article-id pub-id-type="doi">10.1007/978-3-540-34426-1_2</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Basic Knowledge and Developing Tendencies in Epidemic Dynamics</article-title></title-group><contrib-group content-type="book editors"><contrib contrib-type="editor"><name><surname>Takeuchi</surname><given-names>Yasuhiro</given-names></name><address><email>takeuchi@sys.eng.shizuoka.ac.jp</email></address><xref ref-type="aff" rid="Aff32">32</xref></contrib><contrib contrib-type="editor"><name><surname>Iwasa</surname><given-names>Yoh</given-names></name><address><email>yiwasscb@mbox.nc.kyushu-u.ac.jp</email></address><xref ref-type="aff" rid="Aff33">33</xref></contrib><contrib contrib-type="editor"><name><surname>Sato</surname><given-names>Kazunori</given-names></name><address><email>sato@sys.eng.shizuoka.ac.jp</email></address><xref ref-type="aff" rid="Aff32">32</xref></contrib><aff id="Aff32"><label>32</label><institution-wrap><institution-id institution-id-type="GRID">grid.263536.7</institution-id><institution-id institution-id-type="ISNI">0000000106564913</institution-id><institution>Faculty of Engineering, Department of Systems Engineering,</institution><institution>Shizuoka University,</institution></institution-wrap>Hamamatsu 3-5-1, 432-8561 Shizuoka, Japan</aff><aff id="Aff33"><label>33</label><institution-wrap><institution-id institution-id-type="GRID">grid.177174.3</institution-id><institution-id institution-id-type="ISNI">0000000122424849</institution-id><institution>Department of Biology,</institution><institution>Kyushu University,</institution></institution-wrap>812-8581 Fukuoka, Japan</aff></contrib-group><contrib-group><contrib contrib-type="author"><name><surname>Ma</surname><given-names>Zhien</given-names></name><address><email>zhma@mail.xjtu.edu.cn</email></address><xref ref-type="aff" rid="Aff34">34</xref></contrib><contrib contrib-type="author"><name><surname>Li</surname><given-names>Jianquan</given-names></name><address><email>jianq_li@263.net</email></address><xref ref-type="aff" rid="Aff35">35</xref></contrib><aff id="Aff34"><label>34</label><institution-wrap><institution-id institution-id-type="GRID">grid.43169.39</institution-id><institution-id institution-id-type="ISNI">0000000105991243</institution-id><institution>Department of Applied Mathematics,</institution><institution>Xi’an Jiaotong University,</institution></institution-wrap>China</aff><aff id="Aff35"><label>35</label><institution-wrap><institution-id institution-id-type="GRID">grid.440645.7</institution-id><institution>Department of Mathematics and Physics,</institution><institution>Air Force Engineering University,</institution></institution-wrap>China</aff></contrib-group><pub-date pub-type="ppub"><year>2007</year></pub-date><fpage>5</fpage><lpage>49</lpage><permissions><copyright-statement>© Springer-Verlag Berlin Heidelberg 2007</copyright-statement><license><license-p>This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.</license-p></license></permissions><abstract id="Abs1"><title>Summary</title><p>Infectious diseases have been a ferocious enemy since time immemorial. To prevent and control the spread of infectious diseases, epidemic dynamics has played an important role on investigating the transmission of infectious diseases, predicting the developing tendencies, estimating the key parameters from data published by health departments, understanding the transmission characteristics, and implementing the measures for prevention and control. In this chapter, some basic ideas of modelling the spread of infectious diseases, the main concepts of epidemic dynamics, and some developing tendencies in the study of epidemic dynamics are introduced, and some results with respect to the spread of SARS in China are given.</p></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Severe Acute Respiratory Syndrome</kwd><kwd>Epidemic Model</kwd><kwd>Endemic Equilibrium</kwd><kwd>Basic Reproduction Number</kwd><kwd>Severe Acute Respiratory Syndrome</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© Springer-Verlag Berlin Heidelberg 2007</meta-value></custom-meta></custom-meta-group></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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