Evaluation of Coseasonality of Influenza and Invasive Pneumococcal Disease: Results from Prospective Surveillance
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{"title"=>"Evaluation of coseasonality of influenza and invasive pneumococcal disease: Results from prospective surveillance", "type"=>"journal", "authors"=>[{"first_name"=>"Stefan P.", "last_name"=>"Kuster", "scopus_author_id"=>"25031971100"}, {"first_name"=>"Ashleigh R.", "last_name"=>"Tuite", "scopus_author_id"=>"6508240662"}, {"first_name"=>"Jeffrey C.", "last_name"=>"Kwong", "scopus_author_id"=>"7005301949"}, {"first_name"=>"Allison", "last_name"=>"McGeer", "scopus_author_id"=>"7006664445"}, {"first_name"=>"David N.", "last_name"=>"Fisman", "scopus_author_id"=>"7003967070"}], "year"=>2011, "source"=>"PLoS Medicine", "identifiers"=>{"sgr"=>"79959787369", "doi"=>"10.1371/journal.pmed.1001042", "pui"=>"362049926", "issn"=>"15491277", "pmid"=>"21687693", "isbn"=>"1549-1676 (Electronic)\\r1549-1277 (Linking)", "scopus"=>"2-s2.0-79959787369"}, "id"=>"b16f46e8-0667-382e-86b3-798a04899b51", "abstract"=>"The wintertime co-occurrence of peaks in influenza and invasive pneumococcal disease (IPD) is well documented, but how and whether wintertime peaks caused by these two pathogens are causally related is still uncertain. We aimed to investigate the relationship between influenza infection and IPD in Ontario, Canada, using several complementary methodological tools.", "link"=>"http://www.mendeley.com/research/evaluation-coseasonality-influenza-invasive-pneumococcal-disease-results-prospective-surveillance-5", "reader_count"=>41, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>4, "Researcher"=>11, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>4}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>4, "Researcher"=>11, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>6, "Other"=>2, "Student > Bachelor"=>4, "Lecturer"=>1, "Professor"=>4}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Nursing and Health Professions"=>2, "Mathematics"=>6, "Medicine and Dentistry"=>10, "Agricultural and Biological Sciences"=>12, "Arts and Humanities"=>1, "Social Sciences"=>3, "Computer Science"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>10}, "Social Sciences"=>{"Social Sciences"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>12}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>6}, "Unspecified"=>{"Unspecified"=>4}, "Arts and Humanities"=>{"Arts and Humanities"=>1}}, "reader_count_by_country"=>{"United Kingdom"=>1, "France"=>1}, "group_count"=>10}

Scopus | Further Information

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  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/767826/Table_3.xls"], "description"=>"<p>Data are presented as Spearman correlation coefficient (<i>p</i>-value).</p>", "links"=>[], "tags"=>["coefficients", "amplitude", "influenza", "pneumococcal", "sine"], "article_id"=>438191, "categories"=>["Physiology", "Microbiology", "Infectious Diseases", "Medicine", "Immunology", "Computational Biology"], "users"=>["Stefan P. Kuster", "Ashleigh R. Tuite", "Jeffrey C. Kwong", "Allison McGeer", "David N. Fisman"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1001042.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Spearman_correlation_coefficients_for_the_association_of_phase_and_amplitude_terms_for_influenza_B_and_pneumococcal_sine_waves_/438191", "title"=>"Spearman correlation coefficients for the association of phase and amplitude terms for influenza B and pneumococcal sine waves.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 17:45:25"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/767870/Table_1.xls"], "description"=>"<p>Data are presented as Spearman correlation coefficient (<i>p</i>-value).</p>", "links"=>[], "tags"=>["coefficients", "amplitude", "influenza", "pneumococcal", "sine"], "article_id"=>438234, "categories"=>["Physiology", "Microbiology", "Infectious Diseases", "Medicine", "Immunology", "Computational Biology"], "users"=>["Stefan P. Kuster", "Ashleigh R. Tuite", "Jeffrey C. Kwong", "Allison McGeer", "David N. Fisman"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1001042.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Spearman_correlation_coefficients_for_the_association_of_phase_and_amplitude_terms_for_influenza_A_and_B_combined_and_pneumococcal_sine_waves_/438234", "title"=>"Spearman correlation coefficients for the association of phase and amplitude terms for influenza A and B (combined) and pneumococcal sine waves.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 17:45:38"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/767902/Table_4.xls"], "description"=>"<p>Model is also adjusted for year and seasonal oscillation.</p><p>UVI, clear-sky UV-index.</p>", "links"=>[], "tags"=>["influenza", "pneumococcal", "multivariable", "binomial", "regression"], "article_id"=>438263, "categories"=>["Physiology", "Microbiology", "Infectious Diseases", "Medicine", "Immunology", "Computational Biology"], "users"=>["Stefan P. Kuster", "Ashleigh R. Tuite", "Jeffrey C. Kwong", "Allison McGeer", "David N. Fisman"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1001042.t004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Short_term_effects_of_influenza_dynamics_on_pneumococcal_risk_using_multivariable_negative_binomial_regression_analysis_/438263", "title"=>"Short-term effects of influenza dynamics on pneumococcal risk using multivariable negative binomial regression analysis.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 17:45:50"}
  • {"files"=>["https://s3-eu-west-1.amazonaws.com/pstorage-plos-3567654/767932/Table_5.xls"], "description"=>"<p>Data are presented as odds ratios with 95% confidence intervals for 1 IPD case per 100 influenza cases.</p>", "links"=>[], "tags"=>["associations", "influenza", "ipd", "case-crossover"], "article_id"=>438302, "categories"=>["Physiology", "Microbiology", "Infectious Diseases", "Medicine", "Immunology", "Computational Biology"], "users"=>["Stefan P. Kuster", "Ashleigh R. Tuite", "Jeffrey C. Kwong", "Allison McGeer", "David N. Fisman"], "doi"=>["http://dx.doi.org/10.1371/journal.pmed.1001042.t005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"http://figshare.com/articles/_Short_term_associations_between_influenza_A_and_B_and_IPD_according_to_case_crossover_methods_/438302", "title"=>"Short-term associations between influenza A and B and IPD according to case-crossover methods.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-02-20 17:46:02"}

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Relative Metric

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