pcbi.1009255.s002.doc (93 kB)
Intervention cost and effect inputs, including.
journal contribution
posted on 2021-09-27, 17:38 authored by Lara Goscé, Gerard J. Abou Jaoude, David J. Kedziora, Clemens Benedikt, Azfar Hussain, Sarah Jarvis, Alena Skrahina, Dzmitry Klimuk, Henadz Hurevich, Feng Zhao, Nicole Fraser-Hurt, Nejma Cheikh, Marelize Gorgens, David J. Wilson, Romesh Abeysuriya, Rowan Martin-Hughes, Sherrie L. Kelly, Anna Roberts, Robyn M. Stuart, Tom Palmer, Jasmina Panovska-Griffiths, Cliff C. Kerr, David P. Wilson, Hassan Haghparast-Bidgoli, Jolene Skordis, Ibrahim Abubakar(Table A in S2 File) TB treatment and care cost assumptions; (Table B in S2 File) TB treatment intervention effectiveness inputs; and (Table C in S2 File) TB screening and diagnosis intervention inputs for yield.
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using program objectivessimilar modelling toolsrelatively high burdenrelated deaths occurfocused care modelseffective priority setting50 %, respectivelyspending across existingresistant tb infectionssupport analytical capacitynew interventions coulddifferentiated general populationsoptima tb frameworkmiddle income countryimprove health impactprogrammatic cost functionsoptima tb tooloptima tbtb spendingincome countrieshealth resourcesspending datatb outcomestechnical assistancesupport evidencesubstantial impactshifting fundingservice deliveryrisk populationsprospective interventionspeople livingpaper outlinesorganisations involvedoptimised allocationoptimisation analysisoptimisation algorithmmass screeninglocal stakeholderslimited budgetsinform evidenceincluded expertseastern europedecision makerscase studyanalyses show
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