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Newton Otecko
University of Oxford - Big Data Institute
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SCHOLARLY PAPERS
2
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46
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Scholarly Papers (2)
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1.
Demographics of People Who Transmit HIV-1 in Zambia: A Molecular Epidemiology Analysis in the HPTN-071 PopART Study
Number of pages: 33
Posted: 17 Apr 2023
Matthew Hall
,
Tanya Golubchik
,
David Bonsall
,
Lucie Abeler- Dörner
,
Mohammed Limbada
,
Barry Kosloff
,
Albertus Schaap
,
Mariateresa de Cesare
,
George MacIntyre-Cockett
, Newton Otecko,
William Probert
,
Oliver Ratmann
,
Ana Bulas Cruz
,
Estelle Piwowar-Manning
,
David Burns
,
Myron Cohen
,
Deborah Donnell
,
Susan Eshleman
,
Musonda Simwinga
,
Sarah Fidler
,
Richard J. Hayes
and
Christophe Fraser
University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, Zambia AIDS Related Tuberculosis (ZAMBART), Zambia AIDS Related Tuberculosis (ZAMBART), Zambia AIDS Related Tuberculosis (ZAMBART), University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, Imperial College London - Department of Mathematics, University of Oxford - Big Data Institute, Johns Hopkins University - Department of Pathology, Government of the United States of America - Division of AIDS, University of North Carolina (UNC) at Chapel Hill - Department of Medicine, Fred Hutchinson Cancer Research Center, Johns Hopkins University - Department of Pathology, Zambia AIDS Related Tuberculosis (ZAMBART), Imperial College London - Section of Virology, London School of Hygiene & Tropical Medicine - MRC International Statistics & Epidemiology Group and University of Oxford - Big Data Institute
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Abstract:
HIV, sub-Saharan Africa, heterosexual transmission, phylogenetics
2.
Hiv-1 Phylogenetic Clustering is Less than Expected in Sub-Saharan Africa: Epidemiological Interpretation and Implications for the Future of Prevention
9TH INTERNATIONAL CONFERENCE ON INFECTIOUS DISEASE DYNAMICS:P3.064
Posted: 05 Dec 2023
Francesco di Lauro
, Newton Otecko,
William Probert
,
Lele Zhao
,
Erik Volz
,
Mary Kathryn Grabowski
,
David Bonsall
,
Josh Herbeck
,
Lucie Abeler- Dörner
and
Christophe Fraser
University of Oxford, University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, University of Oxford - Big Data Institute, Imperial College London - NIHR Health Protection Research Unit for Modelling and Health Economics, Johns Hopkins University, University of Oxford, The Bill & Melinda Gates Foundation, University of Oxford - Big Data Institute and University of Oxford - Big Data Institute
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