HIV Treatment as Prevention: Natural Experiments Highlight Limits of Antiretroviral Treatment as HIV Prevention
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{"title"=>"HIV treatment as prevention: Natural experiments highlight limits of antiretroviral treatment as HIV prevention", "type"=>"generic", "authors"=>[{"first_name"=>"David P.", "last_name"=>"Wilson", "scopus_author_id"=>"55478279800"}], "year"=>2012, "source"=>"PLoS Medicine", "identifiers"=>{"issn"=>"15491277", "scopus"=>"2-s2.0-84864479588", "pmid"=>"22807656", "doi"=>"10.1371/journal.pmed.1001231", "isbn"=>"1549-1277", "pui"=>"365352079", "sgr"=>"84864479588"}, "id"=>"2a638efc-27cf-3497-a476-b7a200994516", "abstract"=>"There is growing enthusiasm for increasing coverage of antiretroviral treatment among HIV-infected people for the purposes of preventing ongoing transmission. Treatment as prevention will face a number of barriers when implemented in real world populations, which will likely lead to the effectiveness of this strategy being lower than proposed by optimistic modelling scenarios or ideal clinical trial settings. Some settings, as part of their prevention and treatment strategies, have already attained rates of HIV testing and use of antiretroviral therapy--with high levels of viral suppression--that many countries would aspire to as targets for a treatment-as-prevention strategy. This review examines a number of these \"natural experiments\", namely, British Columbia, San Francisco, France, and Australia, to provide commentary on whether treatment as prevention has worked in real world populations. This review suggests that the population-level impact of this strategy is likely to be considerably less than as inferred from ideal conditions.", "link"=>"http://www.mendeley.com/research/hiv-treatment-prevention-natural-experiments-highlight-limits-antiretroviral-treatment-hiv-preventio-4", "reader_count"=>60, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Researcher"=>14, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Student > Master"=>15, "Other"=>4, "Student > Bachelor"=>5, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Researcher"=>14, "Student > Doctoral Student"=>2, "Student > Ph. D. Student"=>13, "Student > Postgraduate"=>2, "Student > Master"=>15, "Other"=>4, "Student > Bachelor"=>5, "Lecturer > Senior Lecturer"=>1, "Professor"=>2}, "reader_count_by_subject_area"=>{"Unspecified"=>9, "Nursing and Health Professions"=>2, "Mathematics"=>1, "Agricultural and Biological Sciences"=>5, "Medicine and Dentistry"=>25, "Business, Management and Accounting"=>2, "Psychology"=>1, "Social Sciences"=>12, "Decision Sciences"=>1, "Immunology and Microbiology"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>25}, "Social Sciences"=>{"Social Sciences"=>12}, "Decision Sciences"=>{"Decision Sciences"=>1}, "Psychology"=>{"Psychology"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>2}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>9}}, "reader_count_by_country"=>{"United States"=>2, "South Africa"=>1}, "group_count"=>3}

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  • {"unique-ip"=>"5", "full-text"=>"3", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"9"}
  • {"unique-ip"=>"9", "full-text"=>"11", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"10"}
  • {"unique-ip"=>"6", "full-text"=>"4", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"11"}
  • {"unique-ip"=>"10", "full-text"=>"6", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2020", "month"=>"12"}

Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Medicine and health sciences", "average_usage"=>[312, 547, 668, 769, 861, 953, 1046, 1135, 1224, 1307, 1388, 1464, 1536, 1606, 1676, 1744, 1812, 1882, 1954, 2020, 2089, 2155, 2218, 2282, 2344]}, {"subject_area"=>"/Medicine and health sciences/Diagnostic medicine", "average_usage"=>[303, 515, 631, 731, 816, 904, 995, 1087, 1171, 1251, 1334, 1405, 1474, 1539, 1615, 1679, 1745, 1806, 1874, 1943, 2006, 2070, 2141, 2199, 2263]}, {"subject_area"=>"/Medicine and health sciences/Immunology", "average_usage"=>[307, 545, 668, 765, 855, 943, 1029, 1113, 1202, 1285, 1361, 1439, 1506, 1571, 1636, 1706, 1772, 1837, 1901, 1969, 2031, 2096, 2160, 2228, 2287]}, {"subject_area"=>"/Medicine and health sciences/Infectious diseases", "average_usage"=>[328, 580, 713, 821, 914, 1012, 1107, 1202, 1293, 1381, 1477, 1551, 1633, 1694, 1769, 1847, 1917, 1986, 2056, 2121, 2194, 2267, 2329, 2410, 2461]}, {"subject_area"=>"/Medicine and health sciences/Pathology and laboratory medicine", "average_usage"=>[321, 553, 683, 785, 880, 973, 1072, 1162, 1249, 1336, 1425, 1504, 1574, 1642, 1711, 1785, 1852, 1923, 1987, 2050, 2129, 2192, 2259, 2325, 2393]}, {"subject_area"=>"/People and places", "average_usage"=>[330, 562, 680, 783, 875, 964, 1062, 1152, 1240, 1327, 1406, 1483, 1561, 1632, 1701, 1770, 1849, 1922, 1993, 2059, 2131, 2197, 2271, 2335, 2403]}]}
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