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MARC Record from marc_columbia

Record ID marc_columbia/Columbia-extract-20221130-017.mrc:41354133:2888
Source marc_columbia
Download Link /show-records/marc_columbia/Columbia-extract-20221130-017.mrc:41354133:2888?format=raw

LEADER: 02888cam a2200421Ia 4500
001 8231005
005 20221201060706.0
008 081121t20082008sa a b 000 0 eng d
020 $a9781770111592
020 $a177011159X
035 $a(OCoLC)747657744
035 $a(OCoLC)ocn747657744
035 $a(NNC)8231005
035 $a8231005
040 $aINU$cINU$dEMU
050 4 $aRC606.6$b.N225 2008
100 1 $aNattrass, Nicoli.$0http://id.loc.gov/authorities/names/n85221803
245 10 $aAre country reputations for good and bad leadership on AIDS deserved? :$ban exploratory quantitative analysis /$cNicoli Nattrass.
260 $aRondebosch :$bCentre for Social Science Research,$c[2008], ©2008.
300 $a16 pages :$billustrations ;$c21 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aCSSR working paper ;$vno. 219
500 $a"July 2008."
500 $aAt head of title: Centre for Social Science Research, Aids and Society Research Unit.
500 $a"aids2031", "HEARD"--Cover.
504 $aIncludes bibliographical references (p. 13-16).
520 3 $a"Some countries, like Brazil, have good reputations on AIDS policy, whereas others, notably South Africa, have been criticized for inadequate leadership. Cross-country regression analysis suggests that most of the 'poster children' for AIDS leadership have indeed performed better or worse than expected given their economic and institutional constraints and the demographic and health challenges facing them. Regressions are run on HAART coverage (number on highly active antiretroviral therapy as % of total need) and MTCTP coverage (pregnant HIV+ women accessing mother-to-child-transmission prevention services at % of total need). Brazil, Burkina-Faso, Cambodia, Costa Rica, Mali, Namibia, Suriname, Thailand, Paraguay, and Uganda performed consistently better than expected. South Africa, Uruguay, and Trinidad and Tobago performed consistently and significantly worse than expected"--P. 1.
530 $aAlso available via the Internet.
650 0 $aHIV infections$xTreatment$xGovernment policy$xEvaluation.
650 0 $aHIV infections$xPrevention$xGovernment policy$xEvaluation.
650 0 $aAIDS (Disease)$xGovernment policy$xEvaluation.
710 2 $aUniversity of Cape Town.$bCentre for Social Science Research.$0http://id.loc.gov/authorities/names/no2002039166
710 2 $aUniversity of Cape Town.$bAids and Society Research Unit.$0http://id.loc.gov/authorities/names/no2002039169
710 2 $aaids2031 (Organization)$0http://id.loc.gov/authorities/names/n2010183150
710 2 $aUniversity of Natal.$bHealth Economics and HIV/AIDS Research Division.$0http://id.loc.gov/authorities/names/n2002011429
830 0 $aCSSR working paper ;$vno. 219.$0http://id.loc.gov/authorities/names/no2008185892
852 00 $bleh$hRC606.6$i.N388 2008g