Uncertainty and Sensitivity Analysis of the Basic Reproductive Rate: Tuberculosis as an Example
The basic reproductive rate (Ro) is a measure of the severity of an epidemic. On the basis of replicated Latin hypercube sampling, the authors performed an uncertainty and sensitivity analysis of the basic reproductive rate of tuberculosis (TB). The uncertainty analysis allowed for the derivation of...
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Veröffentlicht in: | American journal of epidemiology 1997-06, Vol.145 (12), p.1127-1137 |
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description | The basic reproductive rate (Ro) is a measure of the severity of an epidemic. On the basis of replicated Latin hypercube sampling, the authors performed an uncertainty and sensitivity analysis of the basic reproductive rate of tuberculosis (TB). The uncertainty analysis allowed for the derivation of a frequency distribution for Ro and the assessment of the relative contribution each of the three components of Ro made when TB epidemics first arose centuries ago. (The three components of Ro are associated with fast, slow, and relapse TB.) Ro estimates indicated the existence of fairly severe epidemics when TB epidemics first arose. The Ro for the susceptible persons who developed TB slowly (RoSlow) contributed the most to the Ro estimates; however, the relative RoSlow contribution decreased as the severity of TB epidemics increased. The sensitivity of the magnitude of Ro to the uncertainty in estimating values of each of the input parameters was assessed. These results indicated that five of the nine input parameters, because of their estimation uncertainty, were influential in determining the magnitude of Ro. This uncertainty and sensitivity methodology provides results that can aid investigators in understanding the historical epidemiology of TB by quantifying the effect of the transmission processes involved. Additionally, this method can be applied to the Ro of any other infectious disease to estimate the probability of an epidemic outbreak. Am J Epidemiol 1997; 145: 1127–37. |
doi_str_mv | 10.1093/oxfordjournals.aje.a009076 |
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On the basis of replicated Latin hypercube sampling, the authors performed an uncertainty and sensitivity analysis of the basic reproductive rate of tuberculosis (TB). The uncertainty analysis allowed for the derivation of a frequency distribution for Ro and the assessment of the relative contribution each of the three components of Ro made when TB epidemics first arose centuries ago. (The three components of Ro are associated with fast, slow, and relapse TB.) Ro estimates indicated the existence of fairly severe epidemics when TB epidemics first arose. The Ro for the susceptible persons who developed TB slowly (RoSlow) contributed the most to the Ro estimates; however, the relative RoSlow contribution decreased as the severity of TB epidemics increased. The sensitivity of the magnitude of Ro to the uncertainty in estimating values of each of the input parameters was assessed. These results indicated that five of the nine input parameters, because of their estimation uncertainty, were influential in determining the magnitude of Ro. This uncertainty and sensitivity methodology provides results that can aid investigators in understanding the historical epidemiology of TB by quantifying the effect of the transmission processes involved. Additionally, this method can be applied to the Ro of any other infectious disease to estimate the probability of an epidemic outbreak. Am J Epidemiol 1997; 145: 1127–37.</description><identifier>ISSN: 0002-9262</identifier><identifier>EISSN: 1476-6256</identifier><identifier>DOI: 10.1093/oxfordjournals.aje.a009076</identifier><identifier>PMID: 9199543</identifier><identifier>CODEN: AJEPAS</identifier><language>eng</language><publisher>Cary, NC: Oxford University Press</publisher><subject>Adult ; Aged ; basic reproductive rate ; Biological and medical sciences ; Disease Outbreaks - statistics & numerical data ; Disease Transmission, Infectious ; epidemic ; Epidemiology ; General aspects ; Humans ; Incidence ; Life Expectancy ; Medical sciences ; Methodology ; Middle Aged ; Models, Statistical ; Mycobacterium tuberculosis ; Population Dynamics ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Reproduction ; Sample Size ; sensitivity analysis ; Survival Rate ; tuberculosis ; Tuberculosis - epidemiology ; Tuberculosis - transmission ; uncertainty analysis</subject><ispartof>American journal of epidemiology, 1997-06, Vol.145 (12), p.1127-1137</ispartof><rights>1997 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c530t-de2d55dfc49a0984d30bb59e76611f30427651dd3f554edca77025064ebe0113</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2712384$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/9199543$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sanchez, Melissa A.</creatorcontrib><creatorcontrib>Blower, Sally M.</creatorcontrib><title>Uncertainty and Sensitivity Analysis of the Basic Reproductive Rate: Tuberculosis as an Example</title><title>American journal of epidemiology</title><addtitle>Am J Epidemiol</addtitle><description>The basic reproductive rate (Ro) is a measure of the severity of an epidemic. On the basis of replicated Latin hypercube sampling, the authors performed an uncertainty and sensitivity analysis of the basic reproductive rate of tuberculosis (TB). The uncertainty analysis allowed for the derivation of a frequency distribution for Ro and the assessment of the relative contribution each of the three components of Ro made when TB epidemics first arose centuries ago. (The three components of Ro are associated with fast, slow, and relapse TB.) Ro estimates indicated the existence of fairly severe epidemics when TB epidemics first arose. The Ro for the susceptible persons who developed TB slowly (RoSlow) contributed the most to the Ro estimates; however, the relative RoSlow contribution decreased as the severity of TB epidemics increased. The sensitivity of the magnitude of Ro to the uncertainty in estimating values of each of the input parameters was assessed. These results indicated that five of the nine input parameters, because of their estimation uncertainty, were influential in determining the magnitude of Ro. This uncertainty and sensitivity methodology provides results that can aid investigators in understanding the historical epidemiology of TB by quantifying the effect of the transmission processes involved. Additionally, this method can be applied to the Ro of any other infectious disease to estimate the probability of an epidemic outbreak. Am J Epidemiol 1997; 145: 1127–37.</description><subject>Adult</subject><subject>Aged</subject><subject>basic reproductive rate</subject><subject>Biological and medical sciences</subject><subject>Disease Outbreaks - statistics & numerical data</subject><subject>Disease Transmission, Infectious</subject><subject>epidemic</subject><subject>Epidemiology</subject><subject>General aspects</subject><subject>Humans</subject><subject>Incidence</subject><subject>Life Expectancy</subject><subject>Medical sciences</subject><subject>Methodology</subject><subject>Middle Aged</subject><subject>Models, Statistical</subject><subject>Mycobacterium tuberculosis</subject><subject>Population Dynamics</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Reproduction</subject><subject>Sample Size</subject><subject>sensitivity analysis</subject><subject>Survival Rate</subject><subject>tuberculosis</subject><subject>Tuberculosis - epidemiology</subject><subject>Tuberculosis - transmission</subject><subject>uncertainty analysis</subject><issn>0002-9262</issn><issn>1476-6256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1997</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkV1rFDEUhoModa3-BGEQ8W7Wk--md22prWWLUFcQb0I2OYNZZ2e2yYzs_ntTdljolRA4hPc5ny8hHyjMKRj-ud81fQrrfkyda_PcrXHuAAxo9YLMqNCqVkyql2QGAKw2TLHX5E3OawBKjYQTcmKoMVLwGbE_Oo9pcLEb9pXrQvUduxyH-DeW_0Upv88xV31TDb-xunQ5-uoBt6kPoy8QVg9uwPNqOa4w-bHtn2BXXldd79xm2-Jb8qopM-K7KZ6S5Zfr5dVtvfh28_XqYlF7yWGoA7IgZWi8MA7MmQgcVitpUCtFacNBMK0kDYE3UgoM3mkNTIISuMKyFD8lnw5ly2iPI-bBbmL22Lauw37MVhso-yr2X5AqUFwYWcDzA-hTn3PCxm5T3Li0txTskwv2uQu2uGAnF0ry-6nLuNpgOKZOZy_6x0l32bu2Sa7zMR8xpinjZ6Jg9QGLecDdUXbpj1Waa2lvf_6yi3txCXf8xt7zfz7pph4</recordid><startdate>19970615</startdate><enddate>19970615</enddate><creator>Sanchez, Melissa A.</creator><creator>Blower, Sally M.</creator><general>Oxford University Press</general><scope>BSCLL</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>7QL</scope><scope>C1K</scope><scope>7X8</scope></search><sort><creationdate>19970615</creationdate><title>Uncertainty and Sensitivity Analysis of the Basic Reproductive Rate: Tuberculosis as an Example</title><author>Sanchez, Melissa A. ; Blower, Sally M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c530t-de2d55dfc49a0984d30bb59e76611f30427651dd3f554edca77025064ebe0113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1997</creationdate><topic>Adult</topic><topic>Aged</topic><topic>basic reproductive rate</topic><topic>Biological and medical sciences</topic><topic>Disease Outbreaks - statistics & numerical data</topic><topic>Disease Transmission, Infectious</topic><topic>epidemic</topic><topic>Epidemiology</topic><topic>General aspects</topic><topic>Humans</topic><topic>Incidence</topic><topic>Life Expectancy</topic><topic>Medical sciences</topic><topic>Methodology</topic><topic>Middle Aged</topic><topic>Models, Statistical</topic><topic>Mycobacterium tuberculosis</topic><topic>Population Dynamics</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Reproduction</topic><topic>Sample Size</topic><topic>sensitivity analysis</topic><topic>Survival Rate</topic><topic>tuberculosis</topic><topic>Tuberculosis - epidemiology</topic><topic>Tuberculosis - transmission</topic><topic>uncertainty analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanchez, Melissa A.</creatorcontrib><creatorcontrib>Blower, Sally M.</creatorcontrib><collection>Istex</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sanchez, Melissa A.</au><au>Blower, Sally M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Uncertainty and Sensitivity Analysis of the Basic Reproductive Rate: Tuberculosis as an Example</atitle><jtitle>American journal of epidemiology</jtitle><addtitle>Am J Epidemiol</addtitle><date>1997-06-15</date><risdate>1997</risdate><volume>145</volume><issue>12</issue><spage>1127</spage><epage>1137</epage><pages>1127-1137</pages><issn>0002-9262</issn><eissn>1476-6256</eissn><coden>AJEPAS</coden><abstract>The basic reproductive rate (Ro) is a measure of the severity of an epidemic. On the basis of replicated Latin hypercube sampling, the authors performed an uncertainty and sensitivity analysis of the basic reproductive rate of tuberculosis (TB). The uncertainty analysis allowed for the derivation of a frequency distribution for Ro and the assessment of the relative contribution each of the three components of Ro made when TB epidemics first arose centuries ago. (The three components of Ro are associated with fast, slow, and relapse TB.) Ro estimates indicated the existence of fairly severe epidemics when TB epidemics first arose. The Ro for the susceptible persons who developed TB slowly (RoSlow) contributed the most to the Ro estimates; however, the relative RoSlow contribution decreased as the severity of TB epidemics increased. The sensitivity of the magnitude of Ro to the uncertainty in estimating values of each of the input parameters was assessed. These results indicated that five of the nine input parameters, because of their estimation uncertainty, were influential in determining the magnitude of Ro. This uncertainty and sensitivity methodology provides results that can aid investigators in understanding the historical epidemiology of TB by quantifying the effect of the transmission processes involved. Additionally, this method can be applied to the Ro of any other infectious disease to estimate the probability of an epidemic outbreak. Am J Epidemiol 1997; 145: 1127–37.</abstract><cop>Cary, NC</cop><pub>Oxford University Press</pub><pmid>9199543</pmid><doi>10.1093/oxfordjournals.aje.a009076</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged basic reproductive rate Biological and medical sciences Disease Outbreaks - statistics & numerical data Disease Transmission, Infectious epidemic Epidemiology General aspects Humans Incidence Life Expectancy Medical sciences Methodology Middle Aged Models, Statistical Mycobacterium tuberculosis Population Dynamics Public health. Hygiene Public health. Hygiene-occupational medicine Reproduction Sample Size sensitivity analysis Survival Rate tuberculosis Tuberculosis - epidemiology Tuberculosis - transmission uncertainty analysis |
title | Uncertainty and Sensitivity Analysis of the Basic Reproductive Rate: Tuberculosis as an Example |
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