Under-reporting of pertussis in Ontario: A Canadian Immunization Research Network (CIRN) study using capture-recapture
Under-reporting of pertussis cases is a longstanding challenge. We estimated the true number of pertussis cases in Ontario using multiple data sources, and evaluated the completeness of each source. We linked data from multiple sources for the period 2009 to 2015: public health reportable disease su...
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creator | Crowcroft, Natasha S Johnson, Caitlin Chen, Cynthia Li, Ye Marchand-Austin, Alex Bolotin, Shelly Schwartz, Kevin Deeks, Shelley L Jamieson, Frances Drews, Steven Russell, Margaret L Svenson, Lawrence W Simmonds, Kimberley Mahmud, Salaheddin M Kwong, Jeffrey C |
description | Under-reporting of pertussis cases is a longstanding challenge. We estimated the true number of pertussis cases in Ontario using multiple data sources, and evaluated the completeness of each source.
We linked data from multiple sources for the period 2009 to 2015: public health reportable disease surveillance data, public health laboratory data, and health administrative data (hospitalizations, emergency department visits, and physician office visits). To estimate the total number of pertussis cases in Ontario, we used a three-source capture-recapture analysis stratified by age (infants, or aged one year and older) and adjusting for dependency between sources. We used the Bayesian Information Criterion to compare models.
Using probable and confirmed reported cases, laboratory data, and combined hospitalizations/emergency department visits, the estimated total number of cases during the six-year period amongst infants was 924, compared with 545 unique observed cases from all sources. Using the same sources, the estimated total for those aged 1 year and older was 12,883, compared with 3,304 observed cases from all sources. Only 37% of infants and 11% for those aged 1 year and over admitted to hospital or seen in an emergency department for pertussis were reported to public health. Public health reporting sensitivity varied from 2% to 68% depending on age group and the combination of data sources included. Sensitivity of combined hospitalizations and emergency department visits varied from 37% to 49% and of laboratory data from 1% to 50%.
All data sources contribute cases and are complementary, suggesting that the incidence of pertussis is substantially higher than suggested by routine reports. The sensitivity of different data sources varies. Better case identification is required to improve pertussis control in Ontario. |
doi_str_mv | 10.1371/journal.pone.0195984 |
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We linked data from multiple sources for the period 2009 to 2015: public health reportable disease surveillance data, public health laboratory data, and health administrative data (hospitalizations, emergency department visits, and physician office visits). To estimate the total number of pertussis cases in Ontario, we used a three-source capture-recapture analysis stratified by age (infants, or aged one year and older) and adjusting for dependency between sources. We used the Bayesian Information Criterion to compare models.
Using probable and confirmed reported cases, laboratory data, and combined hospitalizations/emergency department visits, the estimated total number of cases during the six-year period amongst infants was 924, compared with 545 unique observed cases from all sources. Using the same sources, the estimated total for those aged 1 year and older was 12,883, compared with 3,304 observed cases from all sources. Only 37% of infants and 11% for those aged 1 year and over admitted to hospital or seen in an emergency department for pertussis were reported to public health. Public health reporting sensitivity varied from 2% to 68% depending on age group and the combination of data sources included. Sensitivity of combined hospitalizations and emergency department visits varied from 37% to 49% and of laboratory data from 1% to 50%.
All data sources contribute cases and are complementary, suggesting that the incidence of pertussis is substantially higher than suggested by routine reports. The sensitivity of different data sources varies. Better case identification is required to improve pertussis control in Ontario.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0195984</identifier><identifier>PMID: 29718945</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Ambulatory care ; Bayesian analysis ; Biology and Life Sciences ; Capture-recapture studies ; Care and treatment ; Control ; Data sources ; Emergency medical services ; Epidemiology ; Health care ; Health insurance ; Health sciences ; Hospital emergency services ; Humans ; Immunization ; Immunization - statistics & numerical data ; Infant ; Infants ; Information systems ; Management ; Mathematical models ; Medical laboratories ; Medicine and Health Sciences ; Ontario ; People and places ; Pertussis ; Preventive medicine ; Public health ; Research - statistics & numerical data ; Research Design ; Research Report ; Sensitivity ; Vaccines ; Whooping cough ; Whooping Cough - prevention & control</subject><ispartof>PloS one, 2018-05, Vol.13 (5), p.e0195984-e0195984</ispartof><rights>COPYRIGHT 2018 Public Library of Science</rights><rights>2018 Crowcroft et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2018 Crowcroft et al 2018 Crowcroft et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c554t-efedad7d96668fb4548e2b9a4cbb209ee1cd0e24b98fb234f200a14a3a36fd3a3</citedby><cites>FETCH-LOGICAL-c554t-efedad7d96668fb4548e2b9a4cbb209ee1cd0e24b98fb234f200a14a3a36fd3a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931792/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5931792/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29718945$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Crowcroft, Natasha S</creatorcontrib><creatorcontrib>Johnson, Caitlin</creatorcontrib><creatorcontrib>Chen, Cynthia</creatorcontrib><creatorcontrib>Li, Ye</creatorcontrib><creatorcontrib>Marchand-Austin, Alex</creatorcontrib><creatorcontrib>Bolotin, Shelly</creatorcontrib><creatorcontrib>Schwartz, Kevin</creatorcontrib><creatorcontrib>Deeks, Shelley L</creatorcontrib><creatorcontrib>Jamieson, Frances</creatorcontrib><creatorcontrib>Drews, Steven</creatorcontrib><creatorcontrib>Russell, Margaret L</creatorcontrib><creatorcontrib>Svenson, Lawrence W</creatorcontrib><creatorcontrib>Simmonds, Kimberley</creatorcontrib><creatorcontrib>Mahmud, Salaheddin M</creatorcontrib><creatorcontrib>Kwong, Jeffrey C</creatorcontrib><title>Under-reporting of pertussis in Ontario: A Canadian Immunization Research Network (CIRN) study using capture-recapture</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Under-reporting of pertussis cases is a longstanding challenge. We estimated the true number of pertussis cases in Ontario using multiple data sources, and evaluated the completeness of each source.
We linked data from multiple sources for the period 2009 to 2015: public health reportable disease surveillance data, public health laboratory data, and health administrative data (hospitalizations, emergency department visits, and physician office visits). To estimate the total number of pertussis cases in Ontario, we used a three-source capture-recapture analysis stratified by age (infants, or aged one year and older) and adjusting for dependency between sources. We used the Bayesian Information Criterion to compare models.
Using probable and confirmed reported cases, laboratory data, and combined hospitalizations/emergency department visits, the estimated total number of cases during the six-year period amongst infants was 924, compared with 545 unique observed cases from all sources. Using the same sources, the estimated total for those aged 1 year and older was 12,883, compared with 3,304 observed cases from all sources. Only 37% of infants and 11% for those aged 1 year and over admitted to hospital or seen in an emergency department for pertussis were reported to public health. Public health reporting sensitivity varied from 2% to 68% depending on age group and the combination of data sources included. Sensitivity of combined hospitalizations and emergency department visits varied from 37% to 49% and of laboratory data from 1% to 50%.
All data sources contribute cases and are complementary, suggesting that the incidence of pertussis is substantially higher than suggested by routine reports. The sensitivity of different data sources varies. Better case identification is required to improve pertussis control in Ontario.</description><subject>Ambulatory care</subject><subject>Bayesian analysis</subject><subject>Biology and Life Sciences</subject><subject>Capture-recapture studies</subject><subject>Care and treatment</subject><subject>Control</subject><subject>Data sources</subject><subject>Emergency medical services</subject><subject>Epidemiology</subject><subject>Health care</subject><subject>Health insurance</subject><subject>Health sciences</subject><subject>Hospital emergency services</subject><subject>Humans</subject><subject>Immunization</subject><subject>Immunization - statistics & numerical data</subject><subject>Infant</subject><subject>Infants</subject><subject>Information systems</subject><subject>Management</subject><subject>Mathematical models</subject><subject>Medical laboratories</subject><subject>Medicine and Health Sciences</subject><subject>Ontario</subject><subject>People and places</subject><subject>Pertussis</subject><subject>Preventive medicine</subject><subject>Public health</subject><subject>Research - statistics & numerical data</subject><subject>Research Design</subject><subject>Research Report</subject><subject>Sensitivity</subject><subject>Vaccines</subject><subject>Whooping cough</subject><subject>Whooping Cough - prevention & control</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptUttq3DAQNaWlubR_UFpBX9KH3epuqw-FZellISQQmmchy-ONtl7JkeyU5OurzTohKX2RhpkzZ2YOpyjeETwnrCSfN2GM3nTzPniYY6KEqviL4pAoRmeSYvbySXxQHKW0wViwSsrXxQFVJakUF4fFzaVvIM4i9CEOzq9RaFEPcRhTcgk5j879YKILX9ACLY03jTMerbbb0bs7M7jg0QUkMNFeoTMY_oT4G50sVxdnn1AaxuYWjWlHak0_jBHymCl6U7xqTZfg7fQfF5ffv_1a_pydnv9YLRenMysEH2bQQmOaslFSyqqtueAV0FoZbuuaYgVAbIOB8lrlKmW8pRgbwg0zTLZNfo-LD3vevgtJT5IlnSXJSghKaUas9ogmmI3uo9uaeKuDcfo-EeJam6yM7UATVgErJdhaUt4KWXPADBgFTIkhZZW5vk7TxnoLjQU_RNM9I31e8e5Kr8ONFoqRUu2WOZkIYrgeIQ1665KFrjMewni_N6eVYJJn6Md_oP-_bkKtTT7A-TbkuXZHqheClVhSpXBG8T3KxpBShPZxZYL1zmwP3HpnNj2ZLbe9f3ruY9ODu9hfKZXTUw</recordid><startdate>20180502</startdate><enddate>20180502</enddate><creator>Crowcroft, Natasha S</creator><creator>Johnson, Caitlin</creator><creator>Chen, Cynthia</creator><creator>Li, Ye</creator><creator>Marchand-Austin, Alex</creator><creator>Bolotin, Shelly</creator><creator>Schwartz, Kevin</creator><creator>Deeks, Shelley L</creator><creator>Jamieson, Frances</creator><creator>Drews, Steven</creator><creator>Russell, Margaret L</creator><creator>Svenson, Lawrence W</creator><creator>Simmonds, Kimberley</creator><creator>Mahmud, Salaheddin M</creator><creator>Kwong, Jeffrey C</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20180502</creationdate><title>Under-reporting of pertussis in Ontario: A Canadian Immunization Research Network (CIRN) study using capture-recapture</title><author>Crowcroft, Natasha S ; Johnson, Caitlin ; Chen, Cynthia ; Li, Ye ; Marchand-Austin, Alex ; Bolotin, Shelly ; Schwartz, Kevin ; Deeks, Shelley L ; Jamieson, Frances ; Drews, Steven ; Russell, Margaret L ; Svenson, Lawrence W ; Simmonds, Kimberley ; Mahmud, Salaheddin M ; Kwong, Jeffrey C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c554t-efedad7d96668fb4548e2b9a4cbb209ee1cd0e24b98fb234f200a14a3a36fd3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Ambulatory care</topic><topic>Bayesian analysis</topic><topic>Biology and Life Sciences</topic><topic>Capture-recapture studies</topic><topic>Care and treatment</topic><topic>Control</topic><topic>Data sources</topic><topic>Emergency medical services</topic><topic>Epidemiology</topic><topic>Health care</topic><topic>Health insurance</topic><topic>Health sciences</topic><topic>Hospital emergency services</topic><topic>Humans</topic><topic>Immunization</topic><topic>Immunization - statistics & numerical data</topic><topic>Infant</topic><topic>Infants</topic><topic>Information systems</topic><topic>Management</topic><topic>Mathematical models</topic><topic>Medical laboratories</topic><topic>Medicine and Health Sciences</topic><topic>Ontario</topic><topic>People and places</topic><topic>Pertussis</topic><topic>Preventive medicine</topic><topic>Public health</topic><topic>Research - statistics & numerical data</topic><topic>Research Design</topic><topic>Research Report</topic><topic>Sensitivity</topic><topic>Vaccines</topic><topic>Whooping cough</topic><topic>Whooping Cough - prevention & control</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Crowcroft, Natasha S</creatorcontrib><creatorcontrib>Johnson, Caitlin</creatorcontrib><creatorcontrib>Chen, Cynthia</creatorcontrib><creatorcontrib>Li, Ye</creatorcontrib><creatorcontrib>Marchand-Austin, Alex</creatorcontrib><creatorcontrib>Bolotin, Shelly</creatorcontrib><creatorcontrib>Schwartz, Kevin</creatorcontrib><creatorcontrib>Deeks, Shelley L</creatorcontrib><creatorcontrib>Jamieson, Frances</creatorcontrib><creatorcontrib>Drews, Steven</creatorcontrib><creatorcontrib>Russell, Margaret L</creatorcontrib><creatorcontrib>Svenson, Lawrence W</creatorcontrib><creatorcontrib>Simmonds, Kimberley</creatorcontrib><creatorcontrib>Mahmud, Salaheddin M</creatorcontrib><creatorcontrib>Kwong, Jeffrey C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Crowcroft, Natasha S</au><au>Johnson, Caitlin</au><au>Chen, Cynthia</au><au>Li, Ye</au><au>Marchand-Austin, Alex</au><au>Bolotin, Shelly</au><au>Schwartz, Kevin</au><au>Deeks, Shelley L</au><au>Jamieson, Frances</au><au>Drews, Steven</au><au>Russell, Margaret L</au><au>Svenson, Lawrence W</au><au>Simmonds, Kimberley</au><au>Mahmud, Salaheddin M</au><au>Kwong, Jeffrey C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Under-reporting of pertussis in Ontario: A Canadian Immunization Research Network (CIRN) study using capture-recapture</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2018-05-02</date><risdate>2018</risdate><volume>13</volume><issue>5</issue><spage>e0195984</spage><epage>e0195984</epage><pages>e0195984-e0195984</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Under-reporting of pertussis cases is a longstanding challenge. We estimated the true number of pertussis cases in Ontario using multiple data sources, and evaluated the completeness of each source.
We linked data from multiple sources for the period 2009 to 2015: public health reportable disease surveillance data, public health laboratory data, and health administrative data (hospitalizations, emergency department visits, and physician office visits). To estimate the total number of pertussis cases in Ontario, we used a three-source capture-recapture analysis stratified by age (infants, or aged one year and older) and adjusting for dependency between sources. We used the Bayesian Information Criterion to compare models.
Using probable and confirmed reported cases, laboratory data, and combined hospitalizations/emergency department visits, the estimated total number of cases during the six-year period amongst infants was 924, compared with 545 unique observed cases from all sources. Using the same sources, the estimated total for those aged 1 year and older was 12,883, compared with 3,304 observed cases from all sources. Only 37% of infants and 11% for those aged 1 year and over admitted to hospital or seen in an emergency department for pertussis were reported to public health. Public health reporting sensitivity varied from 2% to 68% depending on age group and the combination of data sources included. Sensitivity of combined hospitalizations and emergency department visits varied from 37% to 49% and of laboratory data from 1% to 50%.
All data sources contribute cases and are complementary, suggesting that the incidence of pertussis is substantially higher than suggested by routine reports. The sensitivity of different data sources varies. Better case identification is required to improve pertussis control in Ontario.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>29718945</pmid><doi>10.1371/journal.pone.0195984</doi><oa>free_for_read</oa></addata></record> |
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subjects | Ambulatory care Bayesian analysis Biology and Life Sciences Capture-recapture studies Care and treatment Control Data sources Emergency medical services Epidemiology Health care Health insurance Health sciences Hospital emergency services Humans Immunization Immunization - statistics & numerical data Infant Infants Information systems Management Mathematical models Medical laboratories Medicine and Health Sciences Ontario People and places Pertussis Preventive medicine Public health Research - statistics & numerical data Research Design Research Report Sensitivity Vaccines Whooping cough Whooping Cough - prevention & control |
title | Under-reporting of pertussis in Ontario: A Canadian Immunization Research Network (CIRN) study using capture-recapture |
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