The Economic Benefits Resulting from the First 8 Years of the Global Programme to Eliminate Lymphatic Filariasis (2000–2007)
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{"title"=>"The economic benefits resulting from the first 8 years of the Global Programme to eliminate Lymphatic Filariasis (2000-2007)", "type"=>"generic", "authors"=>[{"first_name"=>"Brian K.", "last_name"=>"Chu", "scopus_author_id"=>"36545686300"}, {"first_name"=>"Pamela J.", "last_name"=>"Hooper", "scopus_author_id"=>"14022726700"}, {"first_name"=>"Mark H.", "last_name"=>"Bradley", "scopus_author_id"=>"57196919518"}, {"first_name"=>"Deborah A.", "last_name"=>"McFarland", "scopus_author_id"=>"7102634810"}, {"first_name"=>"Eric A.", "last_name"=>"Ottesen", "scopus_author_id"=>"7006806661"}], "year"=>2010, "source"=>"PLoS Neglected Tropical Diseases", "identifiers"=>{"sgr"=>"77957007655", "doi"=>"10.1371/journal.pntd.0000708", "pui"=>"359899960", "pmid"=>"20532228", "scopus"=>"2-s2.0-77957007655", "issn"=>"1935-2735", "isbn"=>"1935-2735 (Electronic) 1935-2727 (Linking)"}, "id"=>"30161ba7-d69d-3e13-82ad-a24f7ae98fc1", "abstract"=>"BACKGROUND Between 2000-2007, the Global Programme to Eliminate Lymphatic Filariasis (GPELF) delivered more than 1.9 billion treatments to nearly 600 million individuals via annual mass drug administration (MDA) of anti-filarial drugs (albendazole, ivermectin, diethylcarbamazine) to all at-risk for 4-6 years. Quantifying the resulting economic benefits of this significant achievement is important not only to justify the resources invested in the GPELF but also to more fully understand the Programme's overall impact on some of the poorest endemic populations. METHODOLOGY To calculate the economic benefits, the number of clinical manifestations averted was first quantified and the savings associated with this disease prevention then analyzed in the context of direct treatment costs, indirect costs of lost-labor, and costs to the health system to care for affected individuals. Multiple data sources were reviewed, including published literature and databases from the World Health Organization, International Monetary Fund, and International Labour Organization PRINCIPAL FINDINGS An estimated US$21.8 billion of direct economic benefits will be gained over the lifetime of 31.4 million individuals treated during the first 8 years of the GPELF. Of this total, over US$2.3 billion is realized by the protection of nearly 3 million newborns and other individuals from acquiring lymphatic filariasis as a result of their being born into areas freed of LF transmission. Similarly, more than 28 million individuals already infected with LF benefit from GPELF's halting the progression of their disease, which results in an associated lifetime economic benefit of approximately US$19.5 billion. In addition to these economic benefits to at-risk individuals, decreased patient services associated with reduced LF morbidity saves the health systems of endemic countries approximately US$2.2 billion. CONCLUSIONS/SIGNIFICANCE MDA for LF offers significant economic benefits. Moreover, with favorable program implementation costs (largely a result of the sustained commitments of donated drugs from the pharmaceutical industry) it is clear that the economic rate of return of the GPELF is extremely high and that this Programme continues to prove itself an excellent investment in global health.", "link"=>"http://www.mendeley.com/research/economic-benefits-resulting-first-8-years-global-programme-eliminate-lymphatic-filariasis-20002007", "reader_count"=>85, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>4, "Researcher"=>16, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>2, "Student > Master"=>16, "Other"=>9, "Student > Bachelor"=>11, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>4, "Professor > Associate Professor"=>4, "Researcher"=>16, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>2, "Student > Master"=>16, "Other"=>9, "Student > Bachelor"=>11, "Lecturer"=>1, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Agricultural and Biological Sciences"=>27, "Arts and Humanities"=>2, "Business, Management and Accounting"=>2, "Chemistry"=>1, "Energy"=>1, "Environmental Science"=>1, "Nursing and Health Professions"=>5, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>29, "Pharmacology, Toxicology and Pharmaceutical Science"=>2, "Social Sciences"=>5, "Immunology and Microbiology"=>2}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>29}, "Social Sciences"=>{"Social Sciences"=>5}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>1}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>2}, "Arts and Humanities"=>{"Arts and Humanities"=>2}, "Chemistry"=>{"Chemistry"=>1}, "Energy"=>{"Energy"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>2}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>27}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>5}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}}, "reader_count_by_country"=>{"Vietnam"=>1, "United States"=>1, "United Kingdom"=>2, "Mexico"=>1, "Thailand"=>1, "Switzerland"=>1, "Indonesia"=>1}, "group_count"=>13}

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  • {"month"=>"1", "year"=>"2021", "pdf_views"=>"0", "xml_views"=>"0", "html_views"=>"4"}
  • {"month"=>"2", "year"=>"2021", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"7"}
  • {"month"=>"3", "year"=>"2021", "pdf_views"=>"0", "xml_views"=>"0", "html_views"=>"2"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/847535"], "description"=>"<p>Total costs prevented over lifetime of Benefit Cohort Population.</p>", "links"=>[], "tags"=>["costs", "prevented", "cohort"], "article_id"=>517984, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t005", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Total_costs_prevented_over_lifetime_of_Benefit_Cohort_Population_/517984", "title"=>"Total costs prevented over lifetime of Benefit Cohort Population.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:13:04"}
  • {"files"=>["https://ndownloader.figshare.com/files/847111"], "description"=>"<p>Total economic savings to individuals and health systems accumulate throughout the <i>benefit cohort population's</i> lifetime.</p>", "links"=>[], "tags"=>["benefits", "resulting", "years"], "article_id"=>517568, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cumulative_economic_benefits_resulting_from_the_first_8_years_of_the_GPELF_/517568", "title"=>"Cumulative economic benefits resulting from the first 8 years of the GPELF.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-01 02:06:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/846757"], "description"=>"<p>The formula was applied and calculated independently for each country to accommodate country-specific differences in several key parameters (i.e. life expectancy, mortality rate, direct and indirect costs). All calculated costs and benefits are discounted by 3% per year to the base year of 2008.</p>", "links"=>[], "tags"=>["infectious diseases/epidemiology and control of infectious diseases", "infectious diseases/helminth infections", "infectious diseases/neglected tropical diseases", "non-clinical medicine/health economics", "public health and epidemiology/global health", "public health and epidemiology/infectious diseases"], "article_id"=>517211, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.g001", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_General_formula_for_calculating_economic_benefits_/517211", "title"=>"General formula for calculating economic benefits.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-01 02:00:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/847506"], "description"=>"1<p>Weighted average of all <i>Benefit Cohort Population</i> subgroups.</p>", "links"=>[], "tags"=>["costs", "prevented", "cohort"], "article_id"=>517964, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t006", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Total_costs_prevented_per_individual_of_the_Benefit_Cohort_Population_/517964", "title"=>"Total costs prevented per individual of the Benefit Cohort Population.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:12:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/847469"], "description"=>"1<p>Does not include health system benefit.</p>2<p>Weighted average over all WHO regions.</p>", "links"=>[], "tags"=>["benefits"], "article_id"=>517929, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t007", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Lifetime_economic_benefits_by_region_/517929", "title"=>"Lifetime economic benefits by region.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:12:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/847442"], "description"=>"<p>Sub-populations of the “Benefit Cohort Population.”</p>", "links"=>[], "tags"=>["cohort"], "article_id"=>517896, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sub_populations_of_the_8220_Benefit_Cohort_Population_8221_/517896", "title"=>"Sub-populations of the “Benefit Cohort Population.”", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:11:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/847196"], "description"=>"<p>Indicates the economic benefit already achieved and the potential benefit remaining should the GPELF reach all endemic countries and at-risk populations.</p>", "links"=>[], "tags"=>["infectious diseases/epidemiology and control of infectious diseases", "infectious diseases/helminth infections", "infectious diseases/neglected tropical diseases", "non-clinical medicine/health economics", "public health and epidemiology/global health", "public health and epidemiology/infectious diseases"], "article_id"=>517652, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.g005", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Potential_economic_impact_of_the_GPELF_/517652", "title"=>"Potential economic impact of the GPELF.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-01 02:07:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/847411"], "description"=>"1<p>Newborns, although not actually treated with MDA, are assumed protected from infection at the time of birth and protected from clinical disease from 20 years of age.</p>2<p>Based on average life expectancy of 63 years, weighted by country-specific rates and <i>Benefit Cohort Population</i> in each country.</p>3<p>Sum of each year lived by each individual in the Benefit Cohort Population. Equal to (<i>Benefit Cohort Population</i>)×(Average Years of Economic Benefit), adjusted for annual mortality.</p>", "links"=>[], "tags"=>["cohort", "individuals"], "article_id"=>517873, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t002", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Benefit_Cohort_Population_Individuals_and_person_years_/517873", "title"=>"Benefit Cohort Population: Individuals and person-years.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:11:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/846998"], "description"=>"<p>The total economic benefit for individuals (i.e. excluding health system savings) of US$21.8 billion can be further analyzed by cost type, morbidity type, and clinical presentation.</p>", "links"=>[], "tags"=>["benefits"], "article_id"=>517455, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.g003", "stats"=>{"downloads"=>3, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Total_Economic_benefits_by_category_/517455", "title"=>"Total Economic benefits by category.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-01 02:04:15"}
  • {"files"=>["https://ndownloader.figshare.com/files/847316"], "description"=>"1<p>No change or results considered insignificant.</p>", "links"=>[], "tags"=>["reversal"], "article_id"=>517776, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t009", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Sensitivity_analysis_for_chronic_disease_reversal_following_MDA_/517776", "title"=>"Sensitivity analysis for chronic disease reversal following MDA.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:09:36"}
  • {"files"=>["https://ndownloader.figshare.com/files/846881"], "description"=>"<p>Economic benefits are calculated only for the <i>benefit cohort population</i> receiving MDA between 2000–2007; however, the benefits are gained until the end of their lifetime. For modeling purposes, single average ages were used to encompass the entire age range of individuals in each population subgroup, realizing that some individuals will be above this average age at the time of treatment, and some below. The size of each subgroup decreases each year based on country and age-specific mortality rates.</p>", "links"=>[], "tags"=>["infectious diseases/epidemiology and control of infectious diseases", "infectious diseases/helminth infections", "infectious diseases/neglected tropical diseases", "non-clinical medicine/health economics", "public health and epidemiology/global health", "public health and epidemiology/infectious diseases"], "article_id"=>517340, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.g002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Duration_of_economic_benefits_/517340", "title"=>"Duration of economic benefits.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-06-01 02:02:20"}
  • {"files"=>["https://ndownloader.figshare.com/files/847287"], "description"=>"1<p>Financial cost does not include the cost of ivermectin and albendazole, which are both donated. DEC must be purchased by national programs and is therefore included as a financial cost. Ivermectin is used in combination with albendazole in areas co-endemic for onchocerciasis in Africa plus Yemen. DEC, which is not donated, is used in combination with albendazole in all other countries and must be purchased by national programs.</p>2<p>Economic cost includes the implied cost of donated materials and drugs (Source: Goldman et al. (2007) <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000708#pntd.0000708-Goldman1\" target=\"_blank\">[54]</a>): US$0.19+$0.0019 for shipping per 400mg tablet of albendazole and US$1.50+$0.0018 per 3mg tablet of ivermectin.</p>3<p>Includes both individual and health system benefits. Currency is adjusted to match year of MDA round.</p>4<p>Source: Goldman et al. (2007) <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000708#pntd.0000708-Goldman1\" target=\"_blank\">[54]</a>.</p><p>*Countries receiving the albendazole+ivermectin drug regimen.</p>", "links"=>[], "tags"=>["benefit-cost"], "article_id"=>517746, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t010", "stats"=>{"downloads"=>1, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Country_specific_benefit_cost_ratios_/517746", "title"=>"Country-specific benefit-cost ratios.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:09:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/847374"], "description"=>"1<p>Weighted average over all GPELF countries.</p>2<p>Global estimate indicates a standard rate or proportion was utilized for each GPELF country. This is primarily due to a lack of supporting country-specific data.</p>3<p>Indicates a standard rate or proportion was utilized for each GPELF country with the exception of India where more primary data was available and suggested estimates differ from other GPELF regions.</p>4<p>Estimates are country-specific and gathered from public online international database sources.</p>", "links"=>[], "tags"=>["estimates"], "article_id"=>517834, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t003", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Epidemiological_and_cost_estimates_used_in_the_Economic_Benefit_Model_/517834", "title"=>"Epidemiological and cost estimates used in the Economic Benefit Model.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:10:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/847572"], "description"=>"1<p>Assumed that 10% of at-risk population is actually infected with LF <a href=\"http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0000708#pntd.0000708-Ottesen1\" target=\"_blank\">[1]</a>.</p>", "links"=>[], "tags"=>["mda", "treatments"], "article_id"=>518028, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t004", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_GPELF_MDA_treatments_2000_8211_2007_/518028", "title"=>"GPELF MDA treatments (2000–2007).", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:13:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/421447"], "description"=>"<div><h3>Background</h3><p>Between 2000–2007, the Global Programme to Eliminate Lymphatic Filariasis (GPELF) delivered more than 1.9 billion treatments to nearly 600 million individuals via annual mass drug administration (MDA) of anti-filarial drugs (albendazole, ivermectin, diethylcarbamazine) to all at-risk for 4–6 years. Quantifying the resulting economic benefits of this significant achievement is important not only to justify the resources invested in the GPELF but also to more fully understand the Programme's overall impact on some of the poorest endemic populations.</p><h3>Methodology</h3><p>To calculate the economic benefits, the number of clinical manifestations averted was first quantified and the savings associated with this disease prevention then analyzed in the context of direct treatment costs, indirect costs of lost-labor, and costs to the health system to care for affected individuals. Multiple data sources were reviewed, including published literature and databases from the World Health Organization, International Monetary Fund, and International Labour Organization</p><h3>Principal Findings</h3><p>An estimated US$21.8 billion of direct economic benefits will be gained over the lifetime of 31.4 million individuals treated during the first 8 years of the GPELF. Of this total, over US$2.3 billion is realized by the protection of nearly 3 million newborns and other individuals from acquiring lymphatic filariasis as a result of their being born into areas freed of LF transmission. Similarly, more than 28 million individuals already infected with LF benefit from GPELF's halting the progression of their disease, which results in an associated lifetime economic benefit of approximately US$19.5 billion. In addition to these economic benefits to at-risk individuals, decreased patient services associated with reduced LF morbidity saves the health systems of endemic countries approximately US$2.2 billion.</p><h3>Conclusions/Significance</h3><p>MDA for LF offers significant economic benefits. Moreover, with favorable program implementation costs (largely a result of the sustained commitments of donated drugs from the pharmaceutical industry) it is clear that the economic rate of return of the GPELF is extremely high and that this Programme continues to prove itself an excellent investment in global health.</p></div>", "links"=>[], "tags"=>["benefits", "resulting", "years", "programme", "lymphatic", "filariasis"], "article_id"=>143219, "categories"=>["Biological Sciences", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708", "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_Economic_Benefits_Resulting_from_the_First_8_Years_of_the_Global_Programme_to_Eliminate_Lymphatic_Filariasis_2000_2007_/143219", "title"=>"The Economic Benefits Resulting from the First 8 Years of the Global Programme to Eliminate Lymphatic Filariasis (2000–2007)", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 00:53:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/847351"], "description"=>"1<p>Weighted between acute and chronic disease patients across all GPELF countries within WHO region.</p>2<p>Using WHO-CHOICE estimates. Weighted average for all GPELF countries within region.</p>", "links"=>[], "tags"=>["infectious diseases/epidemiology and control of infectious diseases", "infectious diseases/helminth infections", "infectious diseases/neglected tropical diseases", "non-clinical medicine/health economics", "public health and epidemiology/global health", "public health and epidemiology/infectious diseases"], "article_id"=>517802, "categories"=>["Computational Biology", "Cancer", "Medicine"], "users"=>["Brian K. Chu", "Pamela J. Hooper", "Mark H. Bradley", "Deborah A. McFarland", "Eric A. Ottesen"], "doi"=>"https://dx.doi.org/10.1371/journal.pntd.0000708.t008", "stats"=>{"downloads"=>2, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Health_system_economic_benefits_/517802", "title"=>"Health system economic benefits.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-06-01 02:10:02"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"23", "full-text"=>"23", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"1", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"11", "full-text"=>"14", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"17", "full-text"=>"16", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"27", "full-text"=>"31", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"19", "full-text"=>"22", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"23", "full-text"=>"25", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"21", "full-text"=>"27", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"13", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"34", "full-text"=>"40", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"12", "full-text"=>"12", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"31", "full-text"=>"31", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"27", "full-text"=>"41", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"15", "full-text"=>"13", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"13", "full-text"=>"11", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"11", "full-text"=>"8", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"13", "full-text"=>"8", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"15", "full-text"=>"13", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"30", "full-text"=>"44", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
  • {"unique-ip"=>"37", "full-text"=>"41", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
  • {"unique-ip"=>"9", "full-text"=>"6", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2021", "month"=>"1"}

Relative Metric

{"start_date"=>"2010-01-01T00:00:00Z", "end_date"=>"2010-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences", "average_usage"=>[277, 558, 715, 845, 963, 1070, 1166, 1258, 1336, 1410, 1485, 1561, 1638, 1707, 1767, 1834, 1896, 1960, 2030, 2096, 2165, 2229, 2300, 2368, 2425, 2489, 2553, 2617, 2679, 2743, 2814, 2873, 2941, 2995, 3050, 3111, 3169, 3235, 3300, 3363, 3428, 3487, 3548, 3605, 3670, 3726, 3785, 3844]}, {"subject_area"=>"/Medicine and health sciences/Public and occupational health", "average_usage"=>[315, 602, 752, 899, 1003, 1120, 1229, 1321, 1410, 1477, 1543, 1645, 1738, 1801, 1853, 1914, 1966, 2044, 2104, 2165, 2242, 2326, 2378, 2467, 2572, 2616, 2727, 2781, 2839, 2923, 2969, 3067, 3150, 3201, 3263, 3329, 3400, 3474, 3532, 3595, 3640, 3674, 3724, 3776, 3803, 3835, 3910, 4039, 4091]}, {"subject_area"=>"/Social sciences", "average_usage"=>[365, 646, 813, 929, 1044, 1126, 1205, 1294, 1377, 1449, 1517, 1586, 1660, 1746, 1812, 1886, 1945, 2022, 2094, 2179, 2255, 2320, 2417, 2490, 2571, 2650, 2693, 2787, 2850, 2927, 2994, 3072, 3138, 3216, 3261, 3337, 3393, 3448, 3512, 3606, 3667, 3746, 3811, 3865, 3928, 3988, 4031, 4086]}]}
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Net::HTTPTooManyRequests

Source
Scopus
Time
2019-08-27 20:07:23 UTC
Target URL
https://api.elsevier.com/content/search/index:SCOPUS?query=DOI(10.1371%2Fjournal.pntd.0000708)
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'