Incorporating time postinoculation into a dose-response model of Yersinia pestis in mice
To develop a time-dependent dose-response model for describing the survival of animals exposed to Yersinia pestis. Candidate time-dependent dose-response models were fitted to a survival data set for mice intraperitoneally exposed to graded doses of Y. pestis using the maximum likelihood estimation...
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| Veröffentlicht in: | Journal of applied microbiology 2009-09, Vol.107 (3), p.727-735 |
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| container_title | Journal of applied microbiology |
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| creator | Huang, Y Bartrand, T.A Haas, C.N Weir, M.H |
| description | To develop a time-dependent dose-response model for describing the survival of animals exposed to Yersinia pestis. Candidate time-dependent dose-response models were fitted to a survival data set for mice intraperitoneally exposed to graded doses of Y. pestis using the maximum likelihood estimation method. An exponential dose-response model with the model parameter modified by an inverse-power dependency of time postinoculation provided a statistically adequate fit to the experimental survival data. This modified model was verified by comparison with prior studies. The incorporated time dependency quantifies the expected temporal effect of in vivo bacteria growth in the dose-response relationship. The modified model describes the development of animal infectious response over time and represents observed responses accurately. This is the first study to incorporate time in a dose-response model for Y. pestis infection. The outcome may be used for the improved understanding of in vivo bacterial dynamics, improved postexposure decision making or as a component to better assist epidemiological investigations. |
| doi_str_mv | 10.1111/j.1365-2672.2009.04248.x |
| format | Article |
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Candidate time-dependent dose-response models were fitted to a survival data set for mice intraperitoneally exposed to graded doses of Y. pestis using the maximum likelihood estimation method. An exponential dose-response model with the model parameter modified by an inverse-power dependency of time postinoculation provided a statistically adequate fit to the experimental survival data. This modified model was verified by comparison with prior studies. The incorporated time dependency quantifies the expected temporal effect of in vivo bacteria growth in the dose-response relationship. The modified model describes the development of animal infectious response over time and represents observed responses accurately. This is the first study to incorporate time in a dose-response model for Y. pestis infection. The outcome may be used for the improved understanding of in vivo bacterial dynamics, improved postexposure decision making or as a component to better assist epidemiological investigations.</description><identifier>ISSN: 1364-5072</identifier><identifier>EISSN: 1365-2672</identifier><identifier>DOI: 10.1111/j.1365-2672.2009.04248.x</identifier><identifier>PMID: 19302316</identifier><language>eng</language><publisher>Oxford, UK: Oxford, UK : Blackwell Publishing Ltd</publisher><subject>Animals ; Biological and medical sciences ; chi-squared ; Colony Count, Microbial ; Disease Models, Animal ; dose-response model ; Fundamental and applied biological sciences. Psychology ; maximum likelihood estimation ; Mice ; Mice, Inbred BALB C ; Microbiology ; mortality ; plague ; Plague - mortality ; survival ; Survival Analysis ; Time Factors ; time postinoculation ; Yersinia pestis ; Yersinia pestis - growth & development</subject><ispartof>Journal of applied microbiology, 2009-09, Vol.107 (3), p.727-735</ispartof><rights>2009 The Authors. 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Candidate time-dependent dose-response models were fitted to a survival data set for mice intraperitoneally exposed to graded doses of Y. pestis using the maximum likelihood estimation method. An exponential dose-response model with the model parameter modified by an inverse-power dependency of time postinoculation provided a statistically adequate fit to the experimental survival data. This modified model was verified by comparison with prior studies. The incorporated time dependency quantifies the expected temporal effect of in vivo bacteria growth in the dose-response relationship. The modified model describes the development of animal infectious response over time and represents observed responses accurately. This is the first study to incorporate time in a dose-response model for Y. pestis infection. The outcome may be used for the improved understanding of in vivo bacterial dynamics, improved postexposure decision making or as a component to better assist epidemiological investigations.</description><subject>Animals</subject><subject>Biological and medical sciences</subject><subject>chi-squared</subject><subject>Colony Count, Microbial</subject><subject>Disease Models, Animal</subject><subject>dose-response model</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>maximum likelihood estimation</subject><subject>Mice</subject><subject>Mice, Inbred BALB C</subject><subject>Microbiology</subject><subject>mortality</subject><subject>plague</subject><subject>Plague - mortality</subject><subject>survival</subject><subject>Survival Analysis</subject><subject>Time Factors</subject><subject>time postinoculation</subject><subject>Yersinia pestis</subject><subject>Yersinia pestis - growth & development</subject><issn>1364-5072</issn><issn>1365-2672</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkcFO3DAQhi1UVCj0FagvFaektifxxoceEIKWCsQBkNqTNetMkFdJHOxdFd6-DruCa33xeOb7Z0a_GeNSlDKfb6tSgq4LpReqVEKYUlSqasrnPXb4VvjwGldFLRbqgH1KaSWEBFHrj-xAGhAKpD5kv69GF-IUIq79-MjXfiA-hZQfwW36nAwj9-M6cORtSFRESlMYE_EhtNTz0PE_FJMfPfKJsixlmg_e0THb77BP9Hl3H7GHy4v785_F9e2Pq_Oz68JVSjUFQIPOoDFa4BLALVEKQ5J0qxwqBKeAoJHQtkaZnOpqXZuFq2rT5IIycMROt32nGJ42eQU7-OSo73GksEl2AQCyamqRyWZLuhhSitTZKfoB44uVws622pWd3bOze3a21b7aap-z9GQ3ZLMcqH0X7nzMwNcdgMlh30UcnU9vnJINVDWozH3fcn99Ty__vYD9dXYzR1n_ZavvMFh8jHnGw52a_1VqredN_gEPuZxh</recordid><startdate>200909</startdate><enddate>200909</enddate><creator>Huang, Y</creator><creator>Bartrand, T.A</creator><creator>Haas, C.N</creator><creator>Weir, M.H</creator><general>Oxford, UK : Blackwell Publishing Ltd</general><general>Blackwell Publishing Ltd</general><general>Blackwell</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>200909</creationdate><title>Incorporating time postinoculation into a dose-response model of Yersinia pestis in mice</title><author>Huang, Y ; Bartrand, T.A ; Haas, C.N ; Weir, M.H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4228-338ac9a9960ab33cba109e1e6d2ca2a3c23e3813dd9292caf56597c45983e3293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Animals</topic><topic>Biological and medical sciences</topic><topic>chi-squared</topic><topic>Colony Count, Microbial</topic><topic>Disease Models, Animal</topic><topic>dose-response model</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>maximum likelihood estimation</topic><topic>Mice</topic><topic>Mice, Inbred BALB C</topic><topic>Microbiology</topic><topic>mortality</topic><topic>plague</topic><topic>Plague - mortality</topic><topic>survival</topic><topic>Survival Analysis</topic><topic>Time Factors</topic><topic>time postinoculation</topic><topic>Yersinia pestis</topic><topic>Yersinia pestis - growth & development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Huang, Y</creatorcontrib><creatorcontrib>Bartrand, T.A</creatorcontrib><creatorcontrib>Haas, C.N</creatorcontrib><creatorcontrib>Weir, M.H</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of applied microbiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Huang, Y</au><au>Bartrand, T.A</au><au>Haas, C.N</au><au>Weir, M.H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Incorporating time postinoculation into a dose-response model of Yersinia pestis in mice</atitle><jtitle>Journal of applied microbiology</jtitle><addtitle>J Appl Microbiol</addtitle><date>2009-09</date><risdate>2009</risdate><volume>107</volume><issue>3</issue><spage>727</spage><epage>735</epage><pages>727-735</pages><issn>1364-5072</issn><eissn>1365-2672</eissn><abstract>To develop a time-dependent dose-response model for describing the survival of animals exposed to Yersinia pestis. Candidate time-dependent dose-response models were fitted to a survival data set for mice intraperitoneally exposed to graded doses of Y. pestis using the maximum likelihood estimation method. An exponential dose-response model with the model parameter modified by an inverse-power dependency of time postinoculation provided a statistically adequate fit to the experimental survival data. This modified model was verified by comparison with prior studies. The incorporated time dependency quantifies the expected temporal effect of in vivo bacteria growth in the dose-response relationship. The modified model describes the development of animal infectious response over time and represents observed responses accurately. This is the first study to incorporate time in a dose-response model for Y. pestis infection. 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| ispartof | Journal of applied microbiology, 2009-09, Vol.107 (3), p.727-735 |
| issn | 1364-5072 1365-2672 |
| language | eng |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Animals Biological and medical sciences chi-squared Colony Count, Microbial Disease Models, Animal dose-response model Fundamental and applied biological sciences. Psychology maximum likelihood estimation Mice Mice, Inbred BALB C Microbiology mortality plague Plague - mortality survival Survival Analysis Time Factors time postinoculation Yersinia pestis Yersinia pestis - growth & development |
| title | Incorporating time postinoculation into a dose-response model of Yersinia pestis in mice |
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