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{"title"=>"Male circumcision for HIV prevention in high HIV prevalence settings: What can mathematical modelling contribute to informed decision making?", "type"=>"generic", "authors"=>[{"first_name"=>"Catherine", "last_name"=>"Hankins", "scopus_author_id"=>"35832461700"}, {"first_name"=>"John", "last_name"=>"Hargrove", "scopus_author_id"=>"7004979791"}, {"first_name"=>"Brian", "last_name"=>"Williams", "scopus_author_id"=>"55499079300"}, {"first_name"=>"Laith Abu", "last_name"=>"Raddad", "scopus_author_id"=>"35077440700"}, {"first_name"=>"Bertran", "last_name"=>"Auvert", "scopus_author_id"=>"7004943317"}, {"first_name"=>"Lori", "last_name"=>"Bollinger", "scopus_author_id"=>"7003735453"}, {"first_name"=>"Rob", "last_name"=>"Dorrington", "scopus_author_id"=>"6701373086"}, {"first_name"=>"Azra", "last_name"=>"Ghani", "scopus_author_id"=>"7006814439"}, {"first_name"=>"Ron", "last_name"=>"Gray", "scopus_author_id"=>"7403689672"}, {"first_name"=>"Tim", "last_name"=>"Hallett", "scopus_author_id"=>"35614255000"}, {"first_name"=>"James G.", "last_name"=>"Kahn", "scopus_author_id"=>"35404032000"}, {"first_name"=>"Nicolai", "last_name"=>"Lohse", "scopus_author_id"=>"23390035500"}, {"first_name"=>"Nico", "last_name"=>"Nagelkerke", "scopus_author_id"=>"35743614000"}, {"first_name"=>"Travis", "last_name"=>"Porco", "scopus_author_id"=>"6701556756"}, {"first_name"=>"George", "last_name"=>"Schmid", "scopus_author_id"=>"7202981521"}, {"first_name"=>"John", "last_name"=>"Stover", "scopus_author_id"=>"35241051500"}, {"first_name"=>"Helen", "last_name"=>"Weiss", "scopus_author_id"=>"7403112967"}, {"first_name"=>"Alex", "last_name"=>"Welte", "scopus_author_id"=>"25028861200"}, {"first_name"=>"Peter", "last_name"=>"White", "scopus_author_id"=>"8677587200"}, {"first_name"=>"Richard", "last_name"=>"White", "scopus_author_id"=>"8781712900"}], "year"=>2009, "source"=>"PLoS Medicine", "identifiers"=>{"sgr"=>"70349641708", "doi"=>"10.1371/journal.pmed.1000109", "isbn"=>"1549-1676 (Electronic)\\n1549-1277 (Linking)", "pmid"=>"19901974", "issn"=>"15491277", "scopus"=>"2-s2.0-70349641708", "pui"=>"355369590"}, "id"=>"fd873297-7811-372c-b3de-4fef5e4e029f", "abstract"=>"Experts from UNAIDS, WHO, and the South African Centre for Epidemiological Modelling report their review of mathematical models estimating the impact of male circumcision on HIV incidence in high HIV prevalence settings.", "link"=>"http://www.mendeley.com/research/male-circumcision-hiv-prevention-high-hiv-prevalence-settings-mathematical-modelling-contribute-info-25", "reader_count"=>6, "reader_count_by_academic_status"=>{"Researcher"=>2, "Student > Master"=>1, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Researcher"=>2, "Student > Master"=>1, "Other"=>1, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Environmental Science"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>3, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>3}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Environmental Science"=>{"Environmental Science"=>1}}, "group_count"=>0}

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• {"id"=>"421321767303409664", "text"=>"@matiask la OMS recomienda, se calcula q podría reducir 25% hiv si se circuncidara a la mitad de los hombres http://t.co/XptHbGF6KL", "created_at"=>"2014-01-09T16:45:11Z", "user"=>"melquiadess", "user_name"=>"melquíades", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000340330888/ada49625f2a112779fbbaf09c60bcb6d_normal.jpeg"}
• {"id"=>"421326836467916800", "text"=>"@londiArtsy @Juana_De_Arcor @RickyBraverman con 50% de circuncidados se reduciría 25% HIV en áfrica. I rest my case. http://t.co/XptHbGF6KL", "created_at"=>"2014-01-09T17:05:20Z", "user"=>"melquiadess", "user_name"=>"melquíades", "user_profile_image"=>"http://pbs.twimg.com/profile_images/378800000340330888/ada49625f2a112779fbbaf09c60bcb6d_normal.jpeg"}

Wikipedia | Further Information

• {"title"=>"Circumcision and HIV", "url"=>"http://en.wikipedia.org/wiki/Circumcision_and_HIV", "timestamp"=>"2019-03-16T03:26:28Z"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/884606"], "description"=>"a<p>These analyses published in <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000109#pmed.1000109-Manicaland1\" target=\"_blank\">[43]</a>.</p>b<p>>6 mo.</p><p>N/A, not applicable.</p>", "links"=>[], "tags"=>["variables"], "article_id"=>555069, "categories"=>["Medicine", "Cancer"], "users"=>["UNAIDS/WHO/SACEMA Expert Group on Modelling the Impact and Cost of Male Circumcision for HIV Prevention"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000109.t002", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Range_of_variables_in_the_different_models_/555069", "title"=>"Range of variables in the different models.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-09-08 01:24:29"}
• {"files"=>["https://ndownloader.figshare.com/files/438549", "https://ndownloader.figshare.com/files/438605", "https://ndownloader.figshare.com/files/438650", "https://ndownloader.figshare.com/files/438699", "https://ndownloader.figshare.com/files/438744", "https://ndownloader.figshare.com/files/438814", "https://ndownloader.figshare.com/files/438856", "https://ndownloader.figshare.com/files/438980"], "description"=>"Male Circumcision for HIV Prevention in High HIV Prevalence Settings: What Can Mathematical Modelling Contribute to Informed Decision Making?", "links"=>[], "tags"=>["circumcision", "hiv", "prevalence", "mathematical", "informed"], "article_id"=>146485, "categories"=>["Medicine", "Cancer"], "users"=>["UNAIDS/WHO/SACEMA Expert Group on Modelling the Impact and Cost of Male Circumcision for HIV Prevention"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1000109.s001", "https://dx.doi.org/10.1371/journal.pmed.1000109.s002", "https://dx.doi.org/10.1371/journal.pmed.1000109.s003", "https://dx.doi.org/10.1371/journal.pmed.1000109.s004", "https://dx.doi.org/10.1371/journal.pmed.1000109.s005", "https://dx.doi.org/10.1371/journal.pmed.1000109.s006", "https://dx.doi.org/10.1371/journal.pmed.1000109.s007", "https://dx.doi.org/10.1371/journal.pmed.1000109.s008"], "stats"=>{"downloads"=>16, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Male_Circumcision_for_HIV_Prevention_in_High_HIV_Prevalence_Settings_What_Can_Mathematical_Modelling_Contribute_to_Informed_Decision_Making_/146485", "title"=>"Male Circumcision for HIV Prevention in High HIV Prevalence Settings: What Can Mathematical Modelling Contribute to Informed Decision Making?", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2009-09-08 01:48:05"}
• {"files"=>["https://ndownloader.figshare.com/files/884528"], "description"=>"<p>This figure shows model estimates for the reduction in HIV incidence 10 y after the programme begins, among circumcised men, women, uncircumcised men, and the population overall, at varying levels of circumcision uptake (from a baseline of 0%). The model <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000109#pmed.1000109-Hallett1\" target=\"_blank\">[15]</a> is a deterministic compartmental simulation of the heterosexual spread of HIV in a sex- and sexual-activity stratified population, parameterised for Southern and Eastern African populations. The model assumes that there is a 60% reduction in female-to-male transmission for circumcised men, that there is no direct reduction in male-to-female transmission from circumcised men, and that 5%, 20%, 35%, 50%, 70%, and 90% of men are circumcised within 10 y of the intervention being scaled-up. Note: Since the fraction of men circumcised increases over time, the weighted-average of reductions in incidence in these demographic groups at year 10 is not expected to equal the reduction in incidence in the whole population over the first 10 y of the intervention.</p>", "links"=>[], "tags"=>["hiv", "incidence"], "article_id"=>554986, "categories"=>["Medicine", "Cancer"], "users"=>["UNAIDS/WHO/SACEMA Expert Group on Modelling the Impact and Cost of Male Circumcision for HIV Prevention"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000109.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Reductions_in_HIV_incidence_by_coverage_level_/554986", "title"=>"Reductions in HIV incidence by coverage level.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2009-09-08 01:23:06"}
• {"files"=>["https://ndownloader.figshare.com/files/884582"], "description"=>"<p>The first set of columns show the differences in model structure and the issues investigated in published analyses; the second set of columns show the results from each model making a standard set of assumptions.</p>a<p>Model simulations with universal or near universal uptake of male circumcision were compared to maximise comparability of outputs since high coverage levels would tend to exaggerate differences in model results. For White et al. <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000109#pmed.1000109-White1\" target=\"_blank\">[17]</a>, circumcision is scaled up from 25% to 75%. Simulated coverage reaches scale within 5 to 10 y for all models. The impact on HIV infections averted with more realistic coverage levels is shown in <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000109#pmed-1000109-g001\" target=\"_blank\">Figure 1</a>. Where possible, the following standard sets of assumptions are used: 60% reduction in female-to-male transmission, 0% reduction in male-to-female transmission associated with HIV, and no risk compensation.</p>b<p>Basic reproductive number approximately equal to one, indicating that the epidemic would be on the verge of terminal decline and incidence declines gradually.</p>c<p>This estimate is based on a simplified model for low risk populations. In the revised and expanded model <a href=\"http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1000109#pmed.1000109-Alsallaq1\" target=\"_blank\">[16]</a>, the estimate for the number of operations per infection averted over the first 10 y of the intervention in a population representative of Rakai, Uganda is 11.</p><p>eq, equilibrium.</p>", "links"=>[], "tags"=>["models", "hiv"], "article_id"=>555055, "categories"=>["Medicine", "Cancer"], "users"=>["UNAIDS/WHO/SACEMA Expert Group on Modelling the Impact and Cost of Male Circumcision for HIV Prevention"], "doi"=>"https://dx.doi.org/10.1371/journal.pmed.1000109.t001", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Comparison_of_models_and_results_from_HIV_dynamic_transmission_models_used_to_evaluate_the_impact_of_male_circumcision_/555055", "title"=>"Comparison of models and results from HIV dynamic transmission models used to evaluate the impact of male circumcision.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2009-09-08 01:24:15"}

PMC Usage Stats | Further Information

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• {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2020", "month"=>"6"}
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• {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
• {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
• {"unique-ip"=>"12", "full-text"=>"10", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}

Relative Metric

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F1000Prime