Evaluation of multi-assay algorithms for cross-sectional HIV incidence estimation in settings with universal antiretroviral treatment.
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| Title: | Evaluation of multi-assay algorithms for cross-sectional HIV incidence estimation in settings with universal antiretroviral treatment. |
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| Authors: | Grant-McAuley W; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Laeyendecker O; Laboratory of Immunoregulation, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Baltimore, MD, USA.; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Monaco D; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Chen A; Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA., Hudelson SE; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Klock E; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Brookmeyer R; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA, USA., Morrison D; Department of Public Health Sciences, UC Davis School of Medicine, Davis, CA, USA., Piwowar-Manning E; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Morrison CS; Behavioral, Epidemiologic, and Clinical Sciences, Durham, NC, FHI 360, USA., Hayes R; Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK., Ayles H; Zambart, University of Zambia School of Public Health, Lusaka, Zambia.; Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK., Bock P; Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa., Kosloff B; Zambart, University of Zambia School of Public Health, Lusaka, Zambia.; Clinical Research Department, London School of Hygiene and Tropical Medicine, London, UK., Shanaube K; Zambart, University of Zambia School of Public Health, Lusaka, Zambia., Mandla N; Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa., van Deventer A; Desmond Tutu TB Center, Department of Paediatrics and Child Health, Stellenbosch University, Stellenbosch, Western Cape, South Africa., Ruczinski I; Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA., Kammers K; Division of Biostatistics and Bioinformatics, Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Larman HB; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.; Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Eshleman SH; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. seshlem@jhmi.edu. |
| Source: | BMC infectious diseases [BMC Infect Dis] 2022 Nov 11; Vol. 22 (1), pp. 838. Date of Electronic Publication: 2022 Nov 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1471-2334 |
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| DOI: | 10.1186/s12879-022-07850-0 |
