Global Mortality Estimates for the 2009 Influenza Pandemic from the GLaMOR Project: A Modeling Study
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{"first_name"=>"Katarina", "last_name"=>"Prosenc", "scopus_author_id"=>"23490283900"}, {"first_name"=>"Maja", "last_name"=>"Socan", "scopus_author_id"=>"57193414569"}, {"first_name"=>"Cheryl", "last_name"=>"Cohen", "scopus_author_id"=>"9434672400"}, {"first_name"=>"Amparo", "last_name"=>"Larrauri", "scopus_author_id"=>"55947979700"}, {"first_name"=>"Salvador", "last_name"=>"de Mateo", "scopus_author_id"=>"6602791653"}, {"first_name"=>"Lorena Simón", "last_name"=>"Méndez", "scopus_author_id"=>"37037963300"}, {"first_name"=>"Concha Delgado", "last_name"=>"Sanz", "scopus_author_id"=>"55948321800"}, {"first_name"=>"Nick", "last_name"=>"Andrews", "scopus_author_id"=>"7103346572"}, {"first_name"=>"Helen K.", "last_name"=>"Green", "scopus_author_id"=>"55181468500"}, {"first_name"=>"Richard", "last_name"=>"Pebody", "scopus_author_id"=>"6603775780"}, {"first_name"=>"Ayoub", "last_name"=>"Saei", "scopus_author_id"=>"6506784737"}, {"first_name"=>"David", "last_name"=>"Shay", "scopus_author_id"=>"7003795558"}, {"first_name"=>"Cecile", "last_name"=>"Viboud", "scopus_author_id"=>"6701923799"}], "year"=>2013, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"15491277", "scopus"=>"2-s2.0-84889074313", "sgr"=>"84889074313", "pui"=>"370401972", "isbn"=>"1549-1676", "pmid"=>"24302890", "doi"=>"10.1371/journal.pmed.1001558"}, "id"=>"747d7072-e061-317a-a764-f7c7d3a3c933", "abstract"=>"BACKGROUND: Assessing the mortality impact of the 2009 influenza A H1N1 virus (H1N1pdm09) is essential for optimizing public health responses to future pandemics. The World Health Organization reported 18,631 laboratory-confirmed pandemic deaths, but the total pandemic mortality burden was substantially higher. We estimated the 2009 pandemic mortality burden through statistical modeling of mortality data from multiple countries.\\n\\nMETHODS AND FINDINGS: We obtained weekly virology and underlying cause-of-death mortality time series for 2005-2009 for 20 countries covering ∼35% of the world population. We applied a multivariate linear regression model to estimate pandemic respiratory mortality in each collaborating country. We then used these results plus ten country indicators in a multiple imputation model to project the mortality burden in all world countries. Between 123,000 and 203,000 pandemic respiratory deaths were estimated globally for the last 9 mo of 2009. The majority (62%-85%) were attributed to persons under 65 y of age. We observed a striking regional heterogeneity, with almost 20-fold higher mortality in some countries in the Americas than in Europe. The model attributed 148,000-249,000 respiratory deaths to influenza in an average pre-pandemic season, with only 19% in persons <65 y. Limitations include lack of representation of low-income countries among single-country estimates and an inability to study subsequent pandemic waves (2010-2012).\\n\\nCONCLUSIONS: We estimate that 2009 global pandemic respiratory mortality was ∼10-fold higher than the World Health Organization's laboratory-confirmed mortality count. Although the pandemic mortality estimate was similar in magnitude to that of seasonal influenza, a marked shift toward mortality among persons <65 y of age occurred, so that many more life-years were lost. The burden varied greatly among countries, corroborating early reports of far greater pandemic severity in the Americas than in Australia, New Zealand, and Europe. A collaborative network to collect and analyze mortality and hospitalization surveillance data is needed to rapidly establish the severity of future pandemics. Please see later in the article for the Editors' Summary.", "link"=>"http://www.mendeley.com/research/global-mortality-estimates-2009-influenza-pandemic-glamor-project-modeling-study", "reader_count"=>126, "reader_count_by_academic_status"=>{"Unspecified"=>8, "Professor > Associate Professor"=>6, "Researcher"=>31, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>3, "Student > Master"=>17, "Other"=>9, "Student > Bachelor"=>14, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>5}, "reader_count_by_user_role"=>{"Unspecified"=>8, "Professor > Associate Professor"=>6, "Researcher"=>31, "Student > Doctoral Student"=>7, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>3, "Student > Master"=>17, "Other"=>9, "Student > Bachelor"=>14, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>5}, "reader_count_by_subject_area"=>{"Unspecified"=>14, "Agricultural and Biological Sciences"=>34, "Business, Management and Accounting"=>1, "Veterinary Science and Veterinary Medicine"=>1, "Chemistry"=>2, "Computer Science"=>2, "Decision Sciences"=>1, "Economics, Econometrics and Finance"=>2, "Engineering"=>1, "Biochemistry, Genetics and Molecular Biology"=>3, "Nursing and Health Professions"=>1, "Materials Science"=>1, "Mathematics"=>5, "Medicine and Dentistry"=>49, "Physics and Astronomy"=>1, "Social Sciences"=>2, "Immunology and Microbiology"=>6}, "reader_count_by_subdiscipline"=>{"Materials Science"=>{"Materials Science"=>1}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>49}, "Social Sciences"=>{"Social Sciences"=>2}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Mathematics"=>{"Mathematics"=>5}, "Unspecified"=>{"Unspecified"=>14}, "Engineering"=>{"Engineering"=>1}, "Chemistry"=>{"Chemistry"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>2}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>6}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>34}, "Computer Science"=>{"Computer Science"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>3}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>1}}, "reader_count_by_country"=>{"Canada"=>3, "Hong Kong"=>1, "United States"=>5, "Brazil"=>1, "United Kingdom"=>2, "India"=>1}, "group_count"=>9}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1295682"], "description"=>"<p>BMI, body mass index; Resp. disease, respiratory disease.</p>", "links"=>[], "tags"=>["matching"], "article_id"=>862495, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Schematic_illustration_of_the_matching_method_based_on_country_indicators_/862495", "title"=>"Schematic illustration of the matching method based on country indicators.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295683"], "description"=>"<p>Eastern Med, Eastern Mediterranean; Imp, multiple imputation method; Match, matching method.</p>", "links"=>[], "tags"=>["imputation", "matching", "randomly"], "article_id"=>862496, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Output_of_the_data_creation_phase_for_multiple_imputation_and_matching_for_one_randomly_selected_country_per_region_/862496", "title"=>"Output of the data creation phase for multiple imputation and matching for one randomly selected country per region.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295684"], "description"=>"<p>Data are grouped into four geographical regions.</p>", "links"=>[], "tags"=>["excess", "estimates"], "article_id"=>862497, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pandemic_excess_mortality_estimates_for_Stage_1_countries_by_age_and_outcome_respiratory_cardiorespiratory_and_all_cause_/862497", "title"=>"Pandemic excess mortality estimates for Stage 1 countries, by age and outcome (respiratory, cardiorespiratory, and all cause).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295685"], "description"=>"<p>In Mexico, a substantial H1N1pdm09 respiratory mortality burden (red areas above gray background mortality) occurred among children, young adults, and middle-aged persons (<65 y) of age but not among seniors (≥65 y). In France, however, there was a far less dramatic pandemic impact that, despite the similar population size, was captured only in the <65-y age group model. Seasonal influenza burden (blue areas) was also generated by the Stage 1 model. The vertical black line represents the start of the pandemic.</p>", "links"=>[], "tags"=>["heterogeneity", "pandemic", "mexico", "france"], "article_id"=>862498, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_regional_heterogeneity_in_pandemic_mortality_impact_Mexico_high_burden_and_France_low_burden_/862498", "title"=>"Examples of regional heterogeneity in pandemic mortality impact: Mexico (high burden) and France (low burden).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295686"], "description"=>"<p>(A) Under 65 y and (B) all ages. Numbers in map legend are pandemic mortality rates per 100,000 persons.</p>", "links"=>[], "tags"=>["respiratory", "rates", "projected", "countries", "imputation", "stratified"], "article_id"=>862499, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pandemic_respiratory_mortality_rates_projected_to_all_world_countries_with_the_Stage_2_multiple_imputation_model_stratified_by_age_/862499", "title"=>"Pandemic respiratory mortality rates projected to all world countries with the Stage 2 multiple imputation model, stratified by age.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295687"], "description"=>"<p>The Stage 2 model was run multiple times, each time removing one Stage 1 country, for (A) all ages and (B) <65 y. The global estimates (black diamonds) were relatively stable, but some regions were sensitive to the removal of individual countries. <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001558#pmed.1001558.s001\" target=\"_blank\">Figure S1</a> depicts the corresponding sensitivity analysis results for seasonal estimates. Eastern Med, Eastern Mediterranean; SEAR, South-East Asia; Western Pac, Western Pacific.</p>", "links"=>[], "tags"=>["pandemic", "respiratory"], "article_id"=>862500, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sensitivity_analysis_of_global_and_regional_pandemic_respiratory_mortality_rates_/862500", "title"=>"Sensitivity analysis of global and regional pandemic respiratory mortality rates.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295688"], "description"=>"<p>East.Med, Eastern Mediterranean.</p>", "links"=>[], "tags"=>["projected", "respiratory", "pandemic", "seasonal", "influenza"], "article_id"=>862501, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g007"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Age_distribution_of_projected_global_and_regional_respiratory_mortality_for_both_pandemic_and_seasonal_influenza_mortality_estimates_/862501", "title"=>"Age distribution of projected global and regional respiratory mortality, for both pandemic and seasonal influenza mortality estimates.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295689"], "description"=>"<p>GLaMOR all-age respiratory mortality estimated directly from all-age multiple imputation (open circles) and by proportional extrapolation of the <65-y age group estimate to all ages using the age distribution of laboratory-confirmed mortality surveillance (black circles), compared to estimates by Dawood et al. <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001558#pmed.1001558-Dawood1\" target=\"_blank\">[19]</a> (black plus signs). Eastern Med, Eastern Mediterranean.</p>", "links"=>[], "tags"=>["glamor", "estimates", "dawood", "et"], "article_id"=>862502, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g008"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_GLaMOR_mortality_estimates_to_those_of_Dawood_et_al_/862502", "title"=>"Comparison of GLaMOR mortality estimates to those of Dawood et al.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295690"], "description"=>"<p>Asterisks indicate significance at the <i>p</i><0.05 level.</p>", "links"=>[], "tags"=>["modeled", "pandemic", "respiratory", "published", "estimates", "france", "authors", "modeling"], "article_id"=>862503, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g009"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_Stage_1_modeled_pandemic_respiratory_mortality_rates_by_age_to_published_estimates_for_Mexico_Australia_US_China_and_France_by_authors_using_various_modeling_strategies_/862503", "title"=>"Comparison of Stage 1 modeled pandemic respiratory mortality rates, by age, to published estimates for Mexico, Australia, US, China, and France by authors using various modeling strategies.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295691"], "description"=>"<p>Asterisks indicate significance at the <i>p</i><0.05 level.</p>", "links"=>[], "tags"=>["modeled", "pandemic", "all-age", "published", "estimates", "france", "authors", "modeling"], "article_id"=>862504, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.g010"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_Stage_1_modeled_pandemic_all_age_mortality_rates_by_cause_to_published_estimates_for_Mexico_Australia_US_China_and_France_by_authors_using_various_modeling_strategies_/862504", "title"=>"Comparison of Stage 1 modeled pandemic all-age mortality rates, by cause, to published estimates for Mexico, Australia, US, China, and France by authors using various modeling strategies.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295692"], "description"=>"<p>The asterisk indicates for each country and category which of the four tested Stage 2 methods was in best agreement.</p><p>NA, not available.</p>", "links"=>[], "tags"=>["validation", "glamor", "projections", "pandemic", "respiratory", "comparing", "single-entity", "estimates", "collaborators", "methods", "regression"], "article_id"=>862505, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.t004"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_External_validation_of_GLaMOR_Stage_2_projections_for_pandemic_respiratory_deaths_comparing_GLaMOR_Stage_2_projections_for_each_projection_method_to_five_single_entity_estimates_made_by_collaborators_using_methods_other_than_the_GLaMOR_regression_model_/862505", "title"=>"External validation of GLaMOR Stage 2 projections for pandemic respiratory deaths, comparing GLaMOR Stage 2 projections for each projection method to five single-entity estimates made by collaborators using methods other than the GLaMOR regression model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295693"], "description"=>"a<p>Calculated assuming 85% of all deaths occurred among persons <65 y, as was the case with laboratory-confirmed pandemic deaths identified in seven countries; see <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001558#pmed.1001558.s003\" target=\"_blank\">Table S1</a>.</p>b<p>The confidence range was derived from a sensitivity analysis in which we successively removed one Stage 1 county at a time from the Stage 2 input set and recalculated the global and regional burden.</p>", "links"=>[], "tags"=>["glamor", "projections", "pandemic", "respiratory", "estimates", "derived", "all-age", "laboratory-confirmed"], "article_id"=>862506, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.t005"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Global_and_regional_GLaMOR_Stage_2_projections_of_pandemic_respiratory_mortality_where_all_age_estimates_were_derived_both_from_Stage_1_all_age_estimates_and_from_the_lt_65_y_age_group_results_adjust_to_100_using_the_laboratory_confirmed_mortality_survei/862506", "title"=>"Global and regional GLaMOR Stage 2 projections of pandemic respiratory mortality, where all age estimates were derived both from Stage 1 all-age estimates and from the <65-y age group results adjust to 100% using the laboratory-confirmed mortality surveillance age distribution.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295694"], "description"=>"a<p>Europe experienced severe heat waves in 2003 and 2006; hence, summer weeks with elevated mortality were excluded.</p><p>NA, not available.</p>", "links"=>[], "tags"=>["customizations", "all-ages", "20", "glamor", "participating"], "article_id"=>862507, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.t002"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Stage_1_customizations_and_all_ages_model_fit_for_20_GLaMOR_participating_countries_/862507", "title"=>"Stage 1 customizations and all-ages model fit for 20 GLaMOR participating countries.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295695"], "description"=>"<p>Country indicators used as factors in the Stage 2 model that projects the measured Stage 1 pandemic and seasonal influenza mortality estimates to global and regional estimates.</p>", "links"=>[], "tags"=>["indicators", "projects", "pandemic", "seasonal", "influenza", "estimates"], "article_id"=>862508, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.t003"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Country_indicators_used_as_factors_in_the_Stage_2_model_that_projects_the_measured_Stage_1_pandemic_and_seasonal_influenza_mortality_estimates_to_global_and_regional_estimates_/862508", "title"=>"Country indicators used as factors in the Stage 2 model that projects the measured Stage 1 pandemic and seasonal influenza mortality estimates to global and regional estimates.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295696"], "description"=>"a<p>Income level in 2009 <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001558#pmed.1001558-World5\" target=\"_blank\">[28]</a>.</p>b<p>Underlying cause of mortality: AC, all cause; CR, cardiorespiratory (ICD-10 I and J codes); R, respiratory (ICD-10 J codes).</p>c<p>Standard request was for age groupings: 0–4, 5–14, 15–44, 45–64, 65–84, and ≥85 y of age.</p>d<p>Did not include influenza with pneumonia.</p>e<p>Data from multiple surveillance settings representing rural and urban areas across China <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001558#pmed.1001558-Yu1\" target=\"_blank\">[14]</a>.</p>f<p>Respiratory mortality estimated by Netherlands team based on estimated all-cause pandemic mortality <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001558#pmed.1001558-Wijngaard1\" target=\"_blank\">[13]</a>.</p>g<p>Respiratory mortality estimated by Bangladesh team using a novel method combining virology surveillance and verbal autopsy data <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1001558#pmed.1001558-Homaira1\" target=\"_blank\">[45]</a>.</p><p>NA, not available.</p>", "links"=>[], "tags"=>["countries", "glamor", "respiratory", "pandemic-associated", "methods"], "article_id"=>862509, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.t001"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Participating_countries_for_which_GLaMOR_estimated_all_cause_cardiorespiratory_or_respiratory_pandemic_associated_mortality_Stage_1_or_which_were_used_to_evaluate_performance_of_global_projection_methods_Stage_2_/862509", "title"=>"Participating countries for which GLaMOR estimated all-cause, cardiorespiratory, or respiratory pandemic-associated mortality (Stage 1) or which were used to evaluate performance of global projection methods (Stage 2).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-11-26 03:21:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/1295697", "https://ndownloader.figshare.com/files/1295698", "https://ndownloader.figshare.com/files/1295699", "https://ndownloader.figshare.com/files/1295700", "https://ndownloader.figshare.com/files/1295701", "https://ndownloader.figshare.com/files/1295702"], "description"=>"<div><p>Background</p><p>Assessing the mortality impact of the 2009 influenza A H1N1 virus (H1N1pdm09) is essential for optimizing public health responses to future pandemics. The World Health Organization reported 18,631 laboratory-confirmed pandemic deaths, but the total pandemic mortality burden was substantially higher. We estimated the 2009 pandemic mortality burden through statistical modeling of mortality data from multiple countries.</p><p>Methods and Findings</p><p>We obtained weekly virology and underlying cause-of-death mortality time series for 2005–2009 for 20 countries covering ∼35% of the world population. We applied a multivariate linear regression model to estimate pandemic respiratory mortality in each collaborating country. We then used these results plus ten country indicators in a multiple imputation model to project the mortality burden in all world countries. Between 123,000 and 203,000 pandemic respiratory deaths were estimated globally for the last 9 mo of 2009. The majority (62%–85%) were attributed to persons under 65 y of age. We observed a striking regional heterogeneity, with almost 20-fold higher mortality in some countries in the Americas than in Europe. The model attributed 148,000–249,000 respiratory deaths to influenza in an average pre-pandemic season, with only 19% in persons <65 y. Limitations include lack of representation of low-income countries among single-country estimates and an inability to study subsequent pandemic waves (2010–2012).</p><p>Conclusions</p><p>We estimate that 2009 global pandemic respiratory mortality was ∼10-fold higher than the World Health Organization's laboratory-confirmed mortality count. Although the pandemic mortality estimate was similar in magnitude to that of seasonal influenza, a marked shift toward mortality among persons <65 y of age occurred, so that many more life-years were lost. The burden varied greatly among countries, corroborating early reports of far greater pandemic severity in the Americas than in Australia, New Zealand, and Europe. A collaborative network to collect and analyze mortality and hospitalization surveillance data is needed to rapidly establish the severity of future pandemics.</p><p><i>Please see later in the article for the Editors' Summary</i></p></div>", "links"=>[], "tags"=>["estimates", "2009", "influenza", "pandemic", "glamor", "modeling"], "article_id"=>862510, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Lone Simonsen", "Peter Spreeuwenberg", "Roger Lustig", "Robert J. Taylor", "Douglas M. Fleming", "Madelon Kroneman", "Maria D. Van Kerkhove", "Anthony W. Mounts", "W. John Paget"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001558.s001", "https://dx.doi.org/10.1371/journal.pmed.1001558.s002", "https://dx.doi.org/10.1371/journal.pmed.1001558.s003", "https://dx.doi.org/10.1371/journal.pmed.1001558.s004", "https://dx.doi.org/10.1371/journal.pmed.1001558.s005", "https://dx.doi.org/10.1371/journal.pmed.1001558.s006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Global_Mortality_Estimates_for_the_2009_Influenza_Pandemic_from_the_GLaMOR_Project_A_Modeling_Study_/862510", "title"=>"Global Mortality Estimates for the 2009 Influenza Pandemic from the GLaMOR Project: A Modeling Study", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-11-26 03:21:15"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2013-01-01T00:00:00Z", "end_date"=>"2013-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences/Infectious diseases", "average_usage"=>[297, 523, 655, 765, 866, 971, 1070, 1159, 1256, 1337, 1424, 1496, 1568]}, {"subject_area"=>"/Medicine and health sciences/Pathology and laboratory medicine", "average_usage"=>[267, 466, 592, 709, 806, 901, 989, 1075, 1162, 1254, 1342, 1424, 1486]}, {"subject_area"=>"/People and places", "average_usage"=>[270, 456, 573, 676, 773, 867, 955, 1037, 1120, 1205, 1286, 1363, 1436]}, {"subject_area"=>"/People and places/Population groupings", "average_usage"=>[265, 456, 578, 682, 782, 881, 965, 1053, 1133, 1223, 1310, 1391, 1457]}, {"subject_area"=>"/Physical sciences", "average_usage"=>[254, 431, 547, 651, 748, 842, 932, 1017, 1098, 1178, 1259, 1336, 1404]}]}
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Net::HTTPTooManyRequests

Source
Scopus
Time
2019-08-19 08:26:13 UTC
Target URL
https://api.elsevier.com/content/search/index:SCOPUS?query=DOI(10.1371%2Fjournal.pmed.1001558)
Trace

/app/models/concerns/networkable.rb:21:in `get_result'
/app/models/source.rb:165:in `get_data'
/app/models/retrieval_status.rb:47:in `perform_get_data'
/app/jobs/source_job.rb:52:in `block (2 levels) in perform'
/app/jobs/source_job.rb:51:in `block in perform'
/app/jobs/source_job.rb:35:in `each'
/app/jobs/source_job.rb:35:in `perform'