M
Marie-Louise Newell
Researcher at University of Southampton
Publications - 535
Citations - 35924
Marie-Louise Newell is an academic researcher from University of Southampton. The author has contributed to research in topics: Population & Acquired immunodeficiency syndrome (AIDS). The author has an hindex of 93, co-authored 530 publications receiving 34132 citations. Previous affiliations of Marie-Louise Newell include Centers for Disease Control and Prevention & Great Ormond Street Hospital.
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Journal ArticleDOI
HIV infection in children.
TL;DR: There have been no new reports ofHIV seroconversion in children with haemophilia since 1985 when blood donor screening for HIV and heat treatment of freeze dried factor VIII concentrate was introduced.
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Structural barriers to antiretroviral treatment: a study using population-based CD4 cell count and linked antiretroviral treatment programme data
Till Bärnighausen,Till Bärnighausen,Frank Tanser,Kobus Herbst,Tinofa Mutevedzi,Joël Mossong,Marie-Louise Newell,Marie-Louise Newell +7 more
TL;DR: Structural barriers to ART access in a community in rural South Africa, which has a very high adult HIV prevalence and incidence, is examined, finding women who needed ART were significantly more likely to receive treatment than were men who needed it and every additional km distance from the nearest clinic decreased the likelihood of ART used.
Journal ArticleDOI
Quantifying the risk of HIV-1 transmission via breast-milk.
David Dunn,Marie-Louise Newell +1 more
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'Men are not playing their roles', maternal and child nutrition in Nanoro, Burkina Faso.
Adélaïde Compaoré,Kadija Ouedraogo,Palwende R. Boua,Daniella Watson,Sarah H Kehoe,Marie-Louise Newell,Halidou Tinto,Mary Barker,Hermann Sorgho +8 more
TL;DR: The importance of nutrition-sensitive interventions and women's empowerment in improving maternal and child nutrition is highlighted, and there is a need to integrate a sustainable multi-sectorial approach which goes beyond food support.
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Short communication: Prioritizing communities for HIV prevention in sub-Saharan Africa.
TL;DR: It is shown that data on two HIV infection stages allow estimation of two better measures of prevention need: HIV incidence and expected probability of HIV transmission in unprotected sex acts between HIV-infected community members and susceptible individuals.