Ontology-Based Combinatorial Comparative Analysis of Adverse Events Associated with Killed and Live Influenza Vaccines
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{"title"=>"Ontology-Based Combinatorial Comparative Analysis of Adverse Events Associated with Killed and Live Influenza Vaccines", "type"=>"journal", "authors"=>[{"first_name"=>"Sirarat", "last_name"=>"Sarntivijai", "scopus_author_id"=>"25646223300"}, {"first_name"=>"Zuoshuang", "last_name"=>"Xiang", "scopus_author_id"=>"14632806000"}, {"first_name"=>"Kerby A.", "last_name"=>"Shedden", "scopus_author_id"=>"6602840532"}, {"first_name"=>"Howard", "last_name"=>"Markel", "scopus_author_id"=>"7006468710"}, {"first_name"=>"Gilbert S.", "last_name"=>"Omenn", "scopus_author_id"=>"35234686300"}, {"first_name"=>"Brian D.", "last_name"=>"Athey", "scopus_author_id"=>"6701453276"}, {"first_name"=>"Yongqun", "last_name"=>"He", "scopus_author_id"=>"7404942594"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84870367610", "sgr"=>"84870367610", "pui"=>"366164738", "isbn"=>"1932-6203", "pmid"=>"23209624", "doi"=>"10.1371/journal.pone.0049941"}, "id"=>"5de35ced-6d36-34d7-b650-00fa51a3845a", "abstract"=>"Vaccine adverse events (VAEs) are adverse bodily changes occurring after vaccination. Understanding the adverse event (AE) profiles is a crucial step to identify serious AEs. Two different types of seasonal influenza vaccines have been used on the market: trivalent (killed) inactivated influenza vaccine (TIV) and trivalent live attenuated influenza vaccine (LAIV). Different adverse event profiles induced by these two groups of seasonal influenza vaccines were studied based on the data drawn from the CDC Vaccine Adverse Event Report System (VAERS). Extracted from VAERS were 37,621 AE reports for four TIVs (Afluria, Fluarix, Fluvirin, and Fluzone) and 3,707 AE reports for the only LAIV (FluMist). The AE report data were analyzed by a novel combinatorial, ontology-based detection of AE method (CODAE). CODAE detects AEs using Proportional Reporting Ratio (PRR), Chi-square significance test, and base level filtration, and groups identified AEs by ontology-based hierarchical classification. In total, 48 TIV-enriched and 68 LAIV-enriched AEs were identified (PRR>2, Chi-square score >4, and the number of cases >0.2% of total reports). These AE terms were classified using the Ontology of Adverse Events (OAE), MedDRA, and SNOMED-CT. The OAE method provided better classification results than the two other methods. Thirteen out of 48 TIV-enriched AEs were related to neurological and muscular processing such as paralysis, movement disorders, and muscular weakness. In contrast, 15 out of 68 LAIV-enriched AEs were associated with inflammatory response and respiratory system disorders. There were evidences of two severe adverse events (Guillain-Barre Syndrome and paralysis) present in TIV. Although these severe adverse events were at low incidence rate, they were found to be more significantly enriched in TIV-vaccinated patients than LAIV-vaccinated patients. Therefore, our novel combinatorial bioinformatics analysis discovered that LAIV had lower chance of inducing these two severe adverse events than TIV. In addition, our meta-analysis found that all previously reported positive correlation between GBS and influenza vaccine immunization were based on trivalent influenza vaccines instead of monovalent influenza vaccines.", "link"=>"http://www.mendeley.com/research/ontologybased-combinatorial-comparative-analysis-adverse-events-associated-killed-live-influenza-vac", "reader_count"=>39, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>3, "Researcher"=>3, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>5, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>3, "Researcher"=>3, "Student > Ph. D. Student"=>10, "Student > Postgraduate"=>5, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>4, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>2, "Engineering"=>3, "Biochemistry, Genetics and Molecular Biology"=>1, "Nursing and Health Professions"=>2, "Medicine and Dentistry"=>17, "Agricultural and Biological Sciences"=>5, "Business, Management and Accounting"=>1, "Physics and Astronomy"=>1, "Psychology"=>1, "Computer Science"=>4, "Immunology and Microbiology"=>1, "Linguistics"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>17}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Computer Science"=>{"Computer Science"=>4}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Linguistics"=>{"Linguistics"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Unspecified"=>{"Unspecified"=>2}}, "reader_count_by_country"=>{"United States"=>2}, "group_count"=>6}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/535257"], "description"=>"<p>LAIV was recently released and therefore data available are from 2003 onward. The raw number of occurrences was scaled to percentages by the number of reports in each year. The percentages of yearly case reports of GBS and other GBS-related symptoms associated with TIV and LAIV are displayed in (A) and (B), respectively. The combined percentages of GBS and related AEs associated with TIV and LAIV are depicted in (C).</p>", "links"=>[], "tags"=>["yearly", "distributions", "gbs", "gbs-related", "adverse", "events", "tiv"], "article_id"=>205741, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.g005", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_yearly_report_distributions_of_GBS_and_GBS_related_adverse_events_associated_with_TIV_and_LAIV_/205741", "title"=>"Comparison of yearly report distributions of GBS and GBS-related adverse events associated with TIV and LAIV.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-28 01:35:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/535340"], "description"=>"<p>(A) In TIV, all but one selected AEs (paraesthesia) followed the expected age range of the populations who were more at risk of GBS (young children and the elderly). (B) In LAIV recipients, age distribution is scattered across all age ranges.</p>", "links"=>[], "tags"=>["distributions", "gbs", "gbs-related", "adverse", "events", "tiv", "laiv"], "article_id"=>205822, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.g006", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_case_report_distributions_of_GBS_and_GBS_related_adverse_events_associated_with_TIV_and_LAIV_based_on_age_using_the_data_from_2003_/205822", "title"=>"Comparison of case report distributions of GBS and GBS-related adverse events associated with TIV and LAIV based on age using the data from 2003.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-28 01:37:02"}
  • {"files"=>["https://ndownloader.figshare.com/files/535544"], "description"=>"<p>Abbreviations: MIV – Monovalent Inactivated Influenza Vaccine, TIV – Trivalent Inactivated Influenza Vaccine, LAIV – Live Attenuated Influenza Vaccine, VAERS – Vaccince Adverse Event Reporting System.</p>", "links"=>[], "tags"=>["gbs", "influenza", "vaccines", "peer-reviewed"], "article_id"=>206028, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.t004", "stats"=>{"downloads"=>12, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_association_of_GBS_to_influenza_vaccines_in_peer_reviewed_literature_/206028", "title"=>"Summary of association of GBS to influenza vaccines in peer-reviewed literature.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-28 01:40:28"}
  • {"files"=>["https://ndownloader.figshare.com/files/535500"], "description"=>"<p>LAIV-specific adverse events. 3,707 TIV-induced AE cases were reported.</p>", "links"=>[], "tags"=>["adverse", "tiv-induced", "ae", "cases"], "article_id"=>205991, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.t002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_LAIV_specific_adverse_events_3_707_TIV_induced_AE_cases_were_reported_/205991", "title"=>"LAIV-specific adverse events. 3,707 TIV-induced AE cases were reported.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-28 01:39:51"}
  • {"files"=>["https://ndownloader.figshare.com/files/288017", "https://ndownloader.figshare.com/files/288062", "https://ndownloader.figshare.com/files/288161", "https://ndownloader.figshare.com/files/288243", "https://ndownloader.figshare.com/files/288352"], "description"=>"<div><p>Vaccine adverse events (VAEs) are adverse bodily changes occurring after vaccination. Understanding the adverse event (AE) profiles is a crucial step to identify serious AEs. Two different types of seasonal influenza vaccines have been used on the market: trivalent (killed) inactivated influenza vaccine (TIV) and trivalent live attenuated influenza vaccine (LAIV). Different adverse event profiles induced by these two groups of seasonal influenza vaccines were studied based on the data drawn from the CDC Vaccine Adverse Event Report System (VAERS). Extracted from VAERS were 37,621 AE reports for four TIVs (Afluria, Fluarix, Fluvirin, and Fluzone) and 3,707 AE reports for the only LAIV (FluMist). The AE report data were analyzed by a novel combinatorial, ontology-based detection of AE method (CODAE). CODAE detects AEs using Proportional Reporting Ratio (PRR), Chi-square significance test, and base level filtration, and groups identified AEs by ontology-based hierarchical classification. In total, 48 TIV-enriched and 68 LAIV-enriched AEs were identified (PRR>2, Chi-square score >4, and the number of cases >0.2% of total reports). These AE terms were classified using the Ontology of Adverse Events (OAE), MedDRA, and SNOMED-CT. The OAE method provided better classification results than the two other methods. Thirteen out of 48 TIV-enriched AEs were related to neurological and muscular processing such as paralysis, movement disorders, and muscular weakness. In contrast, 15 out of 68 LAIV-enriched AEs were associated with inflammatory response and respiratory system disorders. There were evidences of two severe adverse events (Guillain-Barre Syndrome and paralysis) present in TIV. Although these severe adverse events were at low incidence rate, they were found to be more significantly enriched in TIV-vaccinated patients than LAIV-vaccinated patients. Therefore, our novel combinatorial bioinformatics analysis discovered that LAIV had lower chance of inducing these two severe adverse events than TIV. In addition, our meta-analysis found that all previously reported positive correlation between GBS and influenza vaccine immunization were based on trivalent influenza vaccines instead of monovalent influenza vaccines.</p> </div>", "links"=>[], "tags"=>["ontology-based", "combinatorial", "comparative", "adverse", "events", "killed", "influenza", "vaccines"], "article_id"=>116738, "categories"=>["Cancer", "Pharmacology", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0049941.s001", "https://dx.doi.org/10.1371/journal.pone.0049941.s002", "https://dx.doi.org/10.1371/journal.pone.0049941.s003", "https://dx.doi.org/10.1371/journal.pone.0049941.s004", "https://dx.doi.org/10.1371/journal.pone.0049941.s005"], "stats"=>{"downloads"=>16, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Ontology_Based_Combinatorial_Comparative_Analysis_of_Adverse_Events_Associated_with_Killed_and_Live_Influenza_Vaccines__/116738", "title"=>"Ontology-Based Combinatorial Comparative Analysis of Adverse Events Associated with Killed and Live Influenza Vaccines", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-11-28 01:52:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/535414"], "description"=>"<p>Note:</p>*<p> = serious adverse event,</p><p>(r) = related to serious adverse event.</p>", "links"=>[], "tags"=>["adverse", "tiv-induced", "ae", "cases"], "article_id"=>205903, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.t001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_TIV_specific_adverse_events_37_621_TIV_induced_AE_cases_were_reported_/205903", "title"=>"TIV-specific adverse events. 37,621 TIV-induced AE cases were reported.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-28 01:38:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/535455"], "description"=>"<p>Note: GBS-related muscle and neurological AEs studied here included musculoskeletal pain, paraesthesia, and muscular weakness.</p>", "links"=>[], "tags"=>["gbs", "gbs-related", "aes", "independently"], "article_id"=>205948, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.t003", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_statistical_analysis_testing_if_GBS_and_GBS_related_AEs_occur_independently_of_vaccine_type_/205948", "title"=>"Summary of statistical analysis testing if GBS and GBS-related AEs occur independently of vaccine type.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-11-28 01:39:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/534885"], "description"=>"<p>Chi-square value of > = 4 – χ<sup>2</sup>(+), or <4 – χ<sup>2</sup>(−); PRR > = 2 – PRR(+), or PRR <2 – PRR(−); and number of reports >0.2% of total reported cases (<i>i.e.</i>, > = 75 in TIV or > = 8 in LAIV) – count(+), or else – count(−).</p>", "links"=>[], "tags"=>["diagram", "filtering", "vaccines", "aes", "tiv", "laiv", "vaers"], "article_id"=>205369, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.g002", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Venn_diagram_summary_of_the_three_filtering_criteria_in_each_group_of_vaccines_from_the_pool_of_3_582_AEs_analyzed_in_TIV_and_LAIV_and_the_universe_of_7_520_AEs_in_the_entire_VAERS_database_/205369", "title"=>"Venn diagram summary of the three filtering criteria in each group of vaccines from the pool of 3,582 AEs analyzed in TIV and LAIV and the universe of 7,520 AEs in the entire VAERS database.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-28 01:29:29"}
  • {"files"=>["https://ndownloader.figshare.com/files/535171"], "description"=>"<p>The Y-axis is the number of GBS cases per 1000 case reports for either TIV or LAIV group. The comparison starts the year when both groups have available data in VAERS.</p>", "links"=>[], "tags"=>["rates", "gbs", "cases", "tiv", "laiv"], "article_id"=>205660, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_reporting_rates_of_GBS_cases_associated_with_TIV_and_LAIV_administrations_/205660", "title"=>"Comparison of reporting rates of GBS cases associated with TIV and LAIV administrations.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-28 01:34:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/534753"], "description"=>"<p>A generalized version of CODAE for detection of significant AE terms for one vaccine or one group of vaccines is outlined in (A). See details in the text. An expanded CODAE solution to analyze and compare AEs associated with the two vaccination groups is shown in (B). VAERS records were retrieved based on the query criteria of 4 TIVs (Afluria, Fluarix, Fluvirin, and Fluzone) year 1990–2011 and 1 LAIV (FluMist) year 2003–2011. Parallel analyses of the Proportional Reporting Ratios and Chi-square significant test were performed on individual AEs to identify enriched and significant AEs in each group. Base level filtration of 0.2% of total number of reports was also applied to each AEs. AEs that were identified to have PRR > = 2, Chi-square > = 4, and number of reports > = 0.2% of total reports were then classified based on OAE hierarchical structure. Classification of AEs filtered out AEs that overlapped between the 2 groups.</p>", "links"=>[], "tags"=>["codae", "integrative", "ae", "bioinformatics"], "article_id"=>205235, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Workflow_of_the_CODAE_integrative_AE_bioinformatics_analysis_/205235", "title"=>"Workflow of the CODAE integrative AE bioinformatics analysis.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-28 01:27:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/535016"], "description"=>"<p>Behavior/neurological system contains the most adverse events distributed in two groups of vaccines (40 adverse events; 25 in TIV, 15 in LAIV) but the clusters are significantly different in processes. TIV's behavior/neurological AEs are much more closely related to those of muscle and movement disorder while LAIV's behavior/neurological AEs cluster around pain in the head. Respiratory system AEs is listed as the most significant cluster in LAIV group with 16 AEs. Full listing can be found in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0049941#pone-0049941-t001\" target=\"_blank\">Table 1</a> (TIV) and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0049941#pone-0049941-t002\" target=\"_blank\">Table 2</a> (LAIV).</p>", "links"=>[], "tags"=>["ae", "counts", "grouped"], "article_id"=>205505, "categories"=>["Virology", "Infectious Diseases", "Information And Computing Sciences", "Mathematics", "Biotechnology", "Immunology", "Pharmacology"], "users"=>["Sirarat Sarntivijai", "Zuoshuang Xiang", "Kerby A. Shedden", "Howard Markel", "Gilbert S. Omenn", "Brian D. Athey", "Yongqun He"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0049941.g003", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Diagram_of_AE_counts_grouped_by_related_symptoms_/205505", "title"=>"Diagram of AE counts grouped by related symptoms.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-11-28 01:31:45"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Computer and information sciences", "average_usage"=>[352, 587, 696, 809, 901, 989, 1072, 1156, 1257, 1334, 1422, 1486, 1555, 1647, 1714, 1780, 1844, 1919, 1997, 2051, 2138, 2198, 2267, 2324, 2391]}, {"subject_area"=>"/Medicine and health sciences", "average_usage"=>[312, 547, 668, 769, 861, 953, 1046, 1135, 1224, 1307, 1388, 1464, 1536, 1606, 1676, 1744, 1812, 1882, 1954, 2020, 2089, 2155, 2218, 2282, 2344]}]}
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