Mind the Gap: House Structure and the Risk of Malaria in Uganda
Publication Date
January 30, 2015
Journal
PLOS ONE
Authors
Humphrey Wanzirah, Lucy S. Tusting, Emmanuel Arinaitwe, Agaba Katureebe, et al
Volume
10
Issue
1
Pages
e0117396
DOI
https://dx.plos.org/10.1371/journal.pone.0117396
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0117396
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/25635688
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4311957
Europe PMC
http://europepmc.org/abstract/MED/25635688
Web of Science
000350680700083
Scopus
84922438050
Mendeley
http://www.mendeley.com/research/mind-gap-house-structure-risk-malaria-uganda
Events
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Mendeley | Further Information

{"title"=>"Mind the gap: House structure and the risk of malaria in Uganda", "type"=>"journal", "authors"=>[{"first_name"=>"Humphrey", "last_name"=>"Wanzirah", "scopus_author_id"=>"56509624900"}, {"first_name"=>"Lucy S.", "last_name"=>"Tusting", "scopus_author_id"=>"55764021600"}, {"first_name"=>"Emmanuel", "last_name"=>"Arinaitwe", "scopus_author_id"=>"35241738600"}, {"first_name"=>"Agaba", "last_name"=>"Katureebe", "scopus_author_id"=>"53981470800"}, {"first_name"=>"Kilama", "last_name"=>"Maxwell", "scopus_author_id"=>"56509158100"}, {"first_name"=>"John", "last_name"=>"Rek", "scopus_author_id"=>"56509513500"}, {"first_name"=>"Christian", "last_name"=>"Bottomley", "scopus_author_id"=>"55891702200"}, {"first_name"=>"Sarah G.", "last_name"=>"Staedke", "scopus_author_id"=>"6602233564"}, {"first_name"=>"Moses", "last_name"=>"Kamya", "scopus_author_id"=>"6603886030"}, {"first_name"=>"Grant", "last_name"=>"Dorsey", "scopus_author_id"=>"7004468886"}, {"first_name"=>"Steve W.", "last_name"=>"Lindsay", "scopus_author_id"=>"35393580700"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0117396", "sgr"=>"84922438050", "issn"=>"19326203", "pui"=>"601957221", "isbn"=>"1932-6203", "pmid"=>"25635688", "scopus"=>"2-s2.0-84922438050"}, "id"=>"eb13c235-9d72-36a6-ac9a-edd522eb1b69", "abstract"=>"BACKGROUND: Good house construction may reduce the risk of malaria by limiting the entry of mosquito vectors. We assessed how house design may affect mosquito house entry and malaria risk in Uganda.\\n\\nMETHODS: 100 households were enrolled in each of three sub-counties: Walukuba, Jinja district; Kihihi, Kanungu district; and Nagongera, Tororo district. CDC light trap collections of mosquitoes were done monthly in all homes. All children aged six months to ten years (n = 878) were followed prospectively for a total of 24 months to measure parasite prevalence every three months and malaria incidence. Homes were classified as modern (cement, wood or metal walls; and tiled or metal roof; and closed eaves) or traditional (all other homes).\\n\\nRESULTS: A total of 113,618 female Anopheles were collected over 6,765 nights. 6,816 routine blood smears were taken of which 1,061 (15.6%) were malaria parasite positive. 2,582 episodes of uncomplicated malaria were diagnosed after 1,569 person years of follow-up, giving an overall incidence of 1.6 episodes per person year at risk. The human biting rate was lower in modern homes than in traditional homes (adjusted incidence rate ratio (IRR) 0.48, 95% confidence interval (CI) 0.37-0.64, p<0.001). The odds of malaria infection were lower in modern homes across all the sub-counties (adjusted odds ratio 0.44, 95%CI 0.30-0.65, p<0.001), while malaria incidence was lower in modern homes in Kihihi (adjusted IRR 0.61, 95%CI 0.40-0.91, p = 0.02) but not in Walukuba or Nagongera.\\n\\nCONCLUSIONS: House design is likely to explain some of the heterogeneity of malaria transmission in Uganda and represents a promising target for future interventions, even in highly endemic areas.", "link"=>"http://www.mendeley.com/research/mind-gap-house-structure-risk-malaria-uganda", "reader_count"=>101, "reader_count_by_academic_status"=>{"Unspecified"=>5, "Professor > Associate Professor"=>2, "Researcher"=>27, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>6, "Other"=>7, "Student > Master"=>12, "Student > Bachelor"=>12, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>5, "Professor > Associate Professor"=>2, "Researcher"=>27, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>26, "Student > Postgraduate"=>6, "Other"=>7, "Student > Master"=>12, "Student > Bachelor"=>12, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Agricultural and Biological Sciences"=>40, "Veterinary Science and Veterinary Medicine"=>2, "Computer Science"=>1, "Earth and Planetary Sciences"=>1, "Economics, Econometrics and Finance"=>1, "Environmental Science"=>7, "Biochemistry, Genetics and Molecular Biology"=>2, "Nursing and Health Professions"=>5, "Mathematics"=>2, "Medicine and Dentistry"=>20, "Design"=>1, "Pharmacology, Toxicology and Pharmaceutical Science"=>2, "Psychology"=>2, "Social Sciences"=>6, "Immunology and Microbiology"=>3}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>20}, "Social Sciences"=>{"Social Sciences"=>6}, "Psychology"=>{"Psychology"=>2}, "Mathematics"=>{"Mathematics"=>2}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>7}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>2}, "Design"=>{"Design"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>3}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>40}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>5}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Veterinary Science and Veterinary Medicine"=>{"Veterinary Science and Veterinary Medicine"=>2}}, "reader_count_by_country"=>{"Canada"=>1, "Netherlands"=>1, "United States"=>3, "Botswana"=>1, "Brazil"=>1, "United Kingdom"=>3, "Switzerland"=>1, "Germany"=>1}, "group_count"=>6}

CrossRef

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1876677"], "description"=>"<div><p>Background</p><p>Good house construction may reduce the risk of malaria by limiting the entry of mosquito vectors. We assessed how house design may affect mosquito house entry and malaria risk in Uganda.</p><p>Methods</p><p>100 households were enrolled in each of three sub-counties: Walukuba, Jinja district; Kihihi, Kanungu district; and Nagongera, Tororo district. CDC light trap collections of mosquitoes were done monthly in all homes. All children aged six months to ten years (n = 878) were followed prospectively for a total of 24 months to measure parasite prevalence every three months and malaria incidence. Homes were classified as modern (cement, wood or metal walls; and tiled or metal roof; and closed eaves) or traditional (all other homes).</p><p>Results</p><p>A total of 113,618 female <i>Anopheles</i> were collected over 6,765 nights. 6,816 routine blood smears were taken of which 1,061 (15.6%) were malaria parasite positive. 2,582 episodes of uncomplicated malaria were diagnosed after 1,569 person years of follow-up, giving an overall incidence of 1.6 episodes per person year at risk. The human biting rate was lower in modern homes than in traditional homes (adjusted incidence rate ratio (IRR) 0.48, 95% confidence interval (CI) 0.37–0.64, p<0.001). The odds of malaria infection were lower in modern homes across all the sub-counties (adjusted odds ratio 0.44, 95%CI 0.30–0.65, p<0.001), while malaria incidence was lower in modern homes in Kihihi (adjusted IRR 0.61, 95%CI 0.40–0.91, p = 0.02) but not in Walukuba or Nagongera.</p><p>Conclusions</p><p>House design is likely to explain some of the heterogeneity of malaria transmission in Uganda and represents a promising target for future interventions, even in highly endemic areas.</p></div>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298174, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396", "stats"=>{"downloads"=>2, "page_views"=>43, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mind_the_Gap_House_Structure_and_the_Risk_of_Malaria_in_Uganda_/1298174", "title"=>"Mind the Gap: House Structure and the Risk of Malaria in Uganda", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876674"], "description"=>"<p><sup><b>a</b></sup>HBR: Human biting rate, adult female anopheles collected per house per night (total adult female anophelines caught / total nights of collection).</p><p><sup>b</sup>IRR: Incidence rate ratio; CI: Confidence interval.</p><p><sup>c</sup>IRR adjusted for household wealth.</p><p><sup>d</sup>Cement, wood or metal wall; tiled or metal roof and closed eaves.</p><p>Association between household characteristics and the human biting rate at three sites in Uganda.</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298171, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.t002", "stats"=>{"downloads"=>5, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Association_between_household_characteristics_and_the_human_biting_rate_at_three_sites_in_Uganda_/1298171", "title"=>"Association between household characteristics and the human biting rate at three sites in Uganda.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876673"], "description"=>"<p><sup>a</sup>Confidence interval.</p><p><sup>b</sup>Cement, wood or metal wall; tiled or metal roof and closed eaves.</p><p>Characteristics of study participants and households</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298170, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.t001", "stats"=>{"downloads"=>0, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_study_participants_and_households_/1298170", "title"=>"Characteristics of study participants and households", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876667"], "description"=>"<p>The colours represent <i>Pf</i>PR in children aged 2–10 years from the Malaria Atlas Project 2010 dataset [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0117396#pone.0117396.ref016\" target=\"_blank\">16</a>].</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298164, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.g002", "stats"=>{"downloads"=>2, "page_views"=>46, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Plasmodium_falciparum_parasite_rate_Pf_PR_and_location_of_study_sites_in_Uganda_/1298164", "title"=>"<i>Plasmodium falciparum</i> parasite rate (<i>Pf</i>PR) and location of study sites in Uganda.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876676"], "description"=>"<p><sup><b>a</b></sup>Malaria incidence per person years (new malaria episodes/person years of observation)</p><p><sup>b</sup>IRR: Incidence rate ratio; CI: Confidence interval.</p><p><sup>c</sup>IRR adjusted for mean age during follow up, gender and household wealth.</p><p><sup>d</sup>Cement, wood or metal wall; tiled or metal roof and closed eaves.</p><p>Risk factors for clinical malaria in children aged 6 months to 10 years at three sites in Uganda.</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298173, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.t004", "stats"=>{"downloads"=>0, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Risk_factors_for_clinical_malaria_in_children_aged_6_months_to_10_years_at_three_sites_in_Uganda_/1298173", "title"=>"Risk factors for clinical malaria in children aged 6 months to 10 years at three sites in Uganda.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876675"], "description"=>"<p><sup><b>a</b></sup>PR: Parasite rate (total positive blood smears / total blood smears); N: total blood smears.</p><p><sup>b</sup>OR: Odds ratio; CI: Confidence interval.</p><p><sup>c</sup>OR adjusted for age at the time of the blood smear, gender and household wealth.</p><p><sup>d</sup>Cement, wood or metal wall; tiled or metal roof and closed eaves.</p><p>Risk factors for malaria infection in children aged 6 months to 10 years at three sites in Uganda.</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298172, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.t003", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Risk_factors_for_malaria_infection_in_children_aged_6_months_to_10_years_at_three_sites_in_Uganda_/1298172", "title"=>"Risk factors for malaria infection in children aged 6 months to 10 years at three sites in Uganda.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876672"], "description"=>"<p>Error bars represent upper 95% confidence intervals.</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298169, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.g004", "stats"=>{"downloads"=>0, "page_views"=>34, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_human_biting_rate_Anopheles_spp_in_houses_classified_as_modern_cement_wood_or_metal_wall_tiled_or_metal_roof_and_closed_eaves_and_traditional_all_other_houses_at_three_sites_in_Uganda_/1298169", "title"=>"Mean human biting rate (Anopheles spp) in houses classified as modern (cement, wood or metal wall; tiled or metal roof and closed eaves) and traditional (all other houses) at three sites in Uganda.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876670"], "description"=>"<p>Study profile.</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298167, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.g003", "stats"=>{"downloads"=>0, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Study_profile_/1298167", "title"=>"Study profile.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-30 02:42:34"}
  • {"files"=>["https://ndownloader.figshare.com/files/1876665"], "description"=>"<p>External (left) and internal (right) view of unscreened airbricks.</p>", "links"=>[], "tags"=>["Uganda.Methods 100 households", "Uganda BackgroundGood house construction", "incidence rate ratio", "mosquito house entry", "district", "ci", "malaria incidence", "irr", "measure parasite prevalence", "CDC light trap collections"], "article_id"=>1298162, "categories"=>["Biological Sciences"], "users"=>["Humphrey Wanzirah", "Lucy S. Tusting", "Emmanuel Arinaitwe", "Agaba Katureebe", "Kilama Maxwell", "John Rek", "Christian Bottomley", "Sarah G. Staedke", "Moses Kamya", "Grant Dorsey", "Steve W. Lindsay"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0117396.g001", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_External_left_and_internal_right_view_of_unscreened_airbricks_/1298162", "title"=>"External (left) and internal (right) view of unscreened airbricks.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-01-30 02:42:34"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"27", "full-text"=>"23", "pdf"=>"18", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"19", "full-text"=>"19", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"16", "full-text"=>"19", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"34", "full-text"=>"40", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"20", "full-text"=>"23", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"21", "full-text"=>"24", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"30", "full-text"=>"31", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
  • {"unique-ip"=>"24", "full-text"=>"26", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"12"}
  • {"unique-ip"=>"30", "full-text"=>"36", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"2"}
  • {"unique-ip"=>"26", "full-text"=>"26", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2020", "month"=>"3"}
  • {"unique-ip"=>"17", "full-text"=>"17", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"4"}
  • {"unique-ip"=>"20", "full-text"=>"23", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"5"}
  • {"unique-ip"=>"22", "full-text"=>"31", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"7"}
  • {"unique-ip"=>"19", "full-text"=>"22", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2020", "month"=>"8"}
  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"14", "full-text"=>"16", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
  • {"unique-ip"=>"15", "full-text"=>"15", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
  • {"unique-ip"=>"25", "full-text"=>"31", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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