Using Seroprevalence and Immunisation Coverage Data to Estimate the Global Burden of Congenital Rubella Syndrome, 1996-2010: A Systematic Review
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{"title"=>"Using seroprevalence and immunisation coverage data to estimate the global burden of Congenital Rubella Syndrome, 1996-2010: A systematic review", "type"=>"generic", "authors"=>[{"first_name"=>"Emilia", "last_name"=>"Vynnycky", "scopus_author_id"=>"6701651110"}, {"first_name"=>"Elisabeth J.", "last_name"=>"Adams", "scopus_author_id"=>"7401782308"}, {"first_name"=>"Felicity T.", "last_name"=>"Cutts", "scopus_author_id"=>"21639200600"}, {"first_name"=>"Susan E.", "last_name"=>"Reef", "scopus_author_id"=>"6604059230"}, {"first_name"=>"Ann Mari", "last_name"=>"Navar", "scopus_author_id"=>"6505597806"}, {"first_name"=>"Emily", "last_name"=>"Simons", "scopus_author_id"=>"46961343900"}, {"first_name"=>"Lay Myint", "last_name"=>"Yoshida", "scopus_author_id"=>"23101889700"}, {"first_name"=>"David W.J.", "last_name"=>"Brown", "scopus_author_id"=>"7407097007"}, {"first_name"=>"Charlotte", "last_name"=>"Jackson", "scopus_author_id"=>"55057756400"}, {"first_name"=>"Peter M.", "last_name"=>"Strebel", "scopus_author_id"=>"7006360452"}, {"first_name"=>"Alya J.", "last_name"=>"Dabbagh", "scopus_author_id"=>"22633879000"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84962505690", "issn"=>"19326203", "scopus"=>"2-s2.0-84962505690", "pmid"=>"26962867", "pui"=>"609059873", "doi"=>"10.1371/journal.pone.0149160"}, "id"=>"457c5167-ab71-364d-b3a8-f03c16635c19", "abstract"=>"Background The burden of Congenital Rubella Syndrome (CRS) is typically underestimated in routine surveillance. Updated estimates are needed following the recent WHO position paper on rubella and recent GAVI initiatives, funding rubella vaccination in eligible countries. Previous estimates considered the year 1996 and only 78 (developing) countries. Methods We reviewed the literature to identify rubella seroprevalence studies conducted before countries introduced rubella-containing vaccination (RCV). These data and the estimated vaccination coverage in the routine schedule and mass campaigns were incorporated in mathematical models to estimate the CRS incidence in 1996 and 2000–2010 for each country, region and globally. Results The estimated CRS decreased in the three regions (Americas, Europe and Eastern Mediterranean) which had introduced widespread RCV by 2010, reaching <2 per 100,000 live births (the Americas and Europe) and 25 (95% CI 4–61) per 100,000 live births (the Eastern Mediterranean). The estimated incidence in 2010 ranged from 90 (95% CI: 46–195) in the Western Pacific, excluding China, to 116 (95% CI: 56–235) and 121 (95% CI: 31–238) per 100,000 live births in Africa and SE Asia respectively. Highest numbers of cases were predicted in Africa (39,000, 95% CI: 18,000–80,000) and SE Asia (49,000, 95% CI: 11,000– 97,000). In 2010, 105,000 (95% CI: 54,000–158,000) CRS cases were estimated globally, compared to 119,000 (95% CI: 72,000–169,000) in 1996. Conclusions Whilst falling dramatically in the Americas, Europe and the Eastern Mediterranean after vaccination, the estimated CRS incidence remains high elsewhere. Well-conducted seroprevalence studies can help to improve the reliability of these estimates and monitor the impact of rubella vaccination.", "link"=>"http://www.mendeley.com/research/using-seroprevalence-immunisation-coverage-data-estimate-global-burden-congenital-rubella-syndrome-1", "reader_count"=>47, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Librarian"=>2, "Researcher"=>9, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>5, "Other"=>5, "Student > Master"=>8, "Student > Bachelor"=>6, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Librarian"=>2, "Researcher"=>9, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>5, "Other"=>5, "Student > Master"=>8, "Student > Bachelor"=>6, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>7, "Nursing and Health Professions"=>2, "Biochemistry, Genetics and Molecular Biology"=>1, "Medicine and Dentistry"=>19, "Agricultural and Biological Sciences"=>6, "Business, Management and Accounting"=>1, "Physics and Astronomy"=>1, "Social Sciences"=>6, "Immunology and Microbiology"=>3, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>19}, "Social Sciences"=>{"Social Sciences"=>6}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>3}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>6}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>7}}, "reader_count_by_country"=>{"Brazil"=>1, "United Kingdom"=>1}, "group_count"=>7}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/4832497"], "description"=>"<p>The best-fitting values for the force of infection and (where appropriate) the sensitivity of the antibody assay, and the CRS incidence per 100,000 live births for each catalytic model The values in parentheses reflect the 95% confidence intervals, obtained by bootstrapping. To facilitate comparisons, the infection and CRS incidence is not weighted by the number of live births.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109600, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.t004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Examples_of_the_results_obtained_by_fitting_the_catalytic_models_to_data_/3109600", "title"=>"Examples of the results obtained by fitting the catalytic models to data.", "pos_in_sequence"=>10, "defined_type"=>3, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832431"], "description"=>"<p>Estimates of the median numbers of CRS cases born by country in 2010.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109537, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.g005", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Estimates_of_the_median_numbers_of_CRS_cases_born_by_country_in_2010_/3109537", "title"=>"Estimates of the median numbers of CRS cases born by country in 2010.", "pos_in_sequence"=>6, "defined_type"=>1, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832392"], "description"=>"<p>Comparison between model predictions of the percentage susceptible and the percentage seronegative to rubella obtained using the four types of catalytic model (denoted by the lines labelled A, B, C and D), and that observed in various settings. The crosses show the observed percentage seronegative together with 95% (exact) confidence intervals.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109507, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Examples_of_the_fit_of_catalytic_models_to_the_data_sets_/3109507", "title"=>"Examples of the fit of catalytic models to the data sets.", "pos_in_sequence"=>3, "defined_type"=>1, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832479"], "description"=>"<p>Summary of the serological datasets collected before the introduction of vaccination which were used to estimate the global burden of CRS.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109579, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.t003", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Summary_of_the_serological_datasets_collected_before_the_introduction_of_vaccination_which_were_used_to_estimate_the_global_burden_of_CRS_/3109579", "title"=>"Summary of the serological datasets collected before the introduction of vaccination which were used to estimate the global burden of CRS.", "pos_in_sequence"=>9, "defined_type"=>3, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832410"], "description"=>"<p>The red bars reflect countries which had not introduced RCV by 2010; the white bars indicate countries which had introduced RCV by 2010. The estimates have been weighted by the number of live births in the corresponding country in 2010. Labels on the x-axis denote the year of data collection; uncertain dates of collection are indicated using a question mark. The countries are grouped by WHO regions (AFRO = African, EMRO = Eastern Mediterranean, SEARO = South East Asian, WPRO = Western Pacific).</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109516, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Estimates_of_the_number_of_CRS_cases_per_100_000_live_births_among_women_aged_15_44_years_obtained_using_datasets_from_countries_in_which_RCV_had_not_been_introduced_at_the_time_of_collection_/3109516", "title"=>"Estimates of the number of CRS cases per 100,000 live births among women aged 15–44 years obtained using datasets from countries in which RCV had not been introduced at the time of collection.", "pos_in_sequence"=>4, "defined_type"=>1, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832449"], "description"=>"<p>Literature search strategy and inclusion criteria for datasets.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109549, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.t001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Literature_search_strategy_and_inclusion_criteria_for_datasets_/3109549", "title"=>"Literature search strategy and inclusion criteria for datasets.", "pos_in_sequence"=>7, "defined_type"=>3, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832365", "https://ndownloader.figshare.com/files/4832368"], "description"=>"<div><p>Background</p><p>The burden of Congenital Rubella Syndrome (CRS) is typically underestimated in routine surveillance. Updated estimates are needed following the recent WHO position paper on rubella and recent GAVI initiatives, funding rubella vaccination in eligible countries. Previous estimates considered the year 1996 and only 78 (developing) countries.</p><p>Methods</p><p>We reviewed the literature to identify rubella seroprevalence studies conducted before countries introduced rubella-containing vaccination (RCV). These data and the estimated vaccination coverage in the routine schedule and mass campaigns were incorporated in mathematical models to estimate the CRS incidence in 1996 and 2000–2010 for each country, region and globally.</p><p>Results</p><p>The estimated CRS decreased in the three regions (Americas, Europe and Eastern Mediterranean) which had introduced widespread RCV by 2010, reaching <2 per 100,000 live births (the Americas and Europe) and 25 (95% CI 4–61) per 100,000 live births (the Eastern Mediterranean). The estimated incidence in 2010 ranged from 90 (95% CI: 46–195) in the Western Pacific, excluding China, to 116 (95% CI: 56–235) and 121 (95% CI: 31–238) per 100,000 live births in Africa and SE Asia respectively. Highest numbers of cases were predicted in Africa (39,000, 95% CI: 18,000–80,000) and SE Asia (49,000, 95% CI: 11,000–97,000). In 2010, 105,000 (95% CI: 54,000–158,000) CRS cases were estimated globally, compared to 119,000 (95% CI: 72,000–169,000) in 1996.</p><p>Conclusions</p><p>Whilst falling dramatically in the Americas, Europe and the Eastern Mediterranean after vaccination, the estimated CRS incidence remains high elsewhere. Well-conducted seroprevalence studies can help to improve the reliability of these estimates and monitor the impact of rubella vaccination.</p></div>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109489, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0149160.s001", "https://dx.doi.org/10.1371/journal.pone.0149160.s002"], "stats"=>{"downloads"=>2, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Using_Seroprevalence_and_Immunisation_Coverage_Data_to_Estimate_the_Global_Burden_of_Congenital_Rubella_Syndrome_1996_2010_A_Systematic_Review/3109489", "title"=>"Using Seroprevalence and Immunisation Coverage Data to Estimate the Global Burden of Congenital Rubella Syndrome, 1996-2010: A Systematic Review", "pos_in_sequence"=>1, "defined_type"=>4, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832524"], "description"=>"<p>The median CRS incidence per 100,000 live births and number of CRS cases born in each WHO region and worldwide in 1996, 2000 and 2010 and the percentage of the regional birth cohort living in countries which had introduced RCV by these years.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109621, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.t005", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_median_CRS_incidence_per_100_000_live_births_and_number_of_CRS_cases_born_in_each_WHO_region_and_worldwide_in_1996_2000_and_2010_and_the_percentage_of_the_regional_birth_cohort_living_in_countries_which_had_introduced_RCV_by_these_years_/3109621", "title"=>"The median CRS incidence per 100,000 live births and number of CRS cases born in each WHO region and worldwide in 1996, 2000 and 2010 and the percentage of the regional birth cohort living in countries which had introduced RCV by these years.", "pos_in_sequence"=>11, "defined_type"=>3, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832422"], "description"=>"<p>Estimates of the median incidence of CRS per 100,000 live births by country in 2010.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109528, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Estimates_of_the_median_incidence_of_CRS_per_100_000_live_births_by_country_in_2010_/3109528", "title"=>"Estimates of the median incidence of CRS per 100,000 live births by country in 2010.", "pos_in_sequence"=>5, "defined_type"=>1, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832461"], "description"=>"<p>Note that the lower case letter “<i>a</i>” in the equations below refers to the single year band, whereas “<i>A</i>” (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0149160#pone.0149160.e001\" target=\"_blank\">Eq 1</a> in the main text) refers to those in the age group of interest, <i>A</i>.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109561, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Summary_of_the_catalytic_models_used_in_the_analyses_of_serological_data_/3109561", "title"=>"Summary of the catalytic models used in the analyses of serological data.", "pos_in_sequence"=>8, "defined_type"=>3, "published_date"=>"2016-03-10 09:31:42"}
  • {"files"=>["https://ndownloader.figshare.com/files/4832377"], "description"=>"<p>Results of the literature search for age-specific serological data collected before the introduction of rubella vaccination.</p>", "links"=>[], "tags"=>["Systematic Review BackgroundThe burden", "CRS incidence", "GAVI", "Eastern Mediterranean", "CI", "Americas", "rubella seroprevalence studies", "SE", "RCV", "Congenital Rubella Syndrome", "funding rubella vaccination", "Immunisation Coverage Data"], "article_id"=>3109498, "categories"=>["Medicine", "Biotechnology", "Environmental Sciences not elsewhere classified", "Mathematical Sciences not elsewhere classified", "Marine Biology", "Cancer", "Science Policy", "Computational Biology"], "users"=>["Emilia Vynnycky", "Elisabeth J. Adams", "Felicity T. Cutts", "Susan E. Reef", "Ann Marie Navar", "Emily Simons", "Lay-Myint Yoshida", "David W. J. Brown", "Charlotte Jackson", "Peter M. Strebel", "Alya J. Dabbagh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0149160.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Results_of_the_literature_search_for_age_specific_serological_data_collected_before_the_introduction_of_rubella_vaccination_/3109498", "title"=>"Results of the literature search for age-specific serological data collected before the introduction of rubella vaccination.", "pos_in_sequence"=>2, "defined_type"=>1, "published_date"=>"2016-03-10 09:31:42"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"27", "full-text"=>"22", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"25", "full-text"=>"18", "pdf"=>"12", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"2", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"31", "full-text"=>"24", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"17", "full-text"=>"9", "pdf"=>"12", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"14", "full-text"=>"12", "pdf"=>"11", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"12", "full-text"=>"8", "pdf"=>"10", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"27", "full-text"=>"32", "pdf"=>"14", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"17", "full-text"=>"11", "pdf"=>"17", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
  • {"unique-ip"=>"16", "full-text"=>"6", "pdf"=>"11", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
  • {"unique-ip"=>"11", "full-text"=>"7", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}
  • {"unique-ip"=>"13", "full-text"=>"9", "pdf"=>"11", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2021", "month"=>"1"}

Relative Metric

{"start_date"=>"2016-01-01T00:00:00Z", "end_date"=>"2016-12-31T00:00:00Z", "subject_areas"=>[]}
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