Potential effects of disruption to HIV programmes in sub-Saharan Africa caused by COVID-19: results from multiple mathematical models.

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作者： Britta L,Jewell ^[1] ; Edinah,Mudimu ^[2] ; John,Stover ^[3] ; Debra,Ten Brink ^[4] ; Andrew N,Phillips ^[5] ; Jennifer A,Smith ^[1] ; Rowan,Martin-Hughes ^[4] ; Yu,Teng ^[3] ; Robert,Glaubius ^[3] ; Severin Guy,Mahiane ^[3] ; Loveleen,Bansi-Matharu ^[6] ; Isaac,Taramusi ^[7] ; Newton,Chagoma ^[8] ; Michelle,Morrison ^[9] ; Meg,Doherty ^[10] ; Kimberly,Marsh ^[11] ; Anna,Bershteyn ^[12] ; Timothy B,Hallett ^[1] ; Sherrie L,Kelly ^[4] ; HIV Modelling Consortium

作者单位： Medical Research Council Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK. ^[1] Department of Decision Sciences, University of South Africa, Pretoria, South Africa. ^[2] Avenir Health, Glastonbury, CT, USA. ^[3] Burnet Institute, Melbourne, VIC, Australia. ^[4] Institute for Global Health, University College London, London, UK. Electronic address: andrew.phillips@ucl.ac.uk. ^[5] Institute for Global Health, University College London, London, UK. ^[6] National AIDS Council of Zimbabwe, Harare, Zimbabwe. ^[7] National AIDS Council of Malawi, Lilongwe, Malawi. ^[8] Bill & Melinda Gates Foundation, Seattle, WA, USA. ^[9] WHO, Geneva, Switzerland. ^[10] UNAIDS, Geneva, Switzerland. ^[11] New York University School of Medicine, New York, NY, USA. ^[12]

主题词撒哈拉沙漠以南非洲(Africa South of the Sahara);抗HIV药(Anti-HIV Agents);抗逆转录病毒治疗, 高效(Antiretroviral Therapy, Highly Active);避孕套(Condoms);冠状病毒感染(Coronavirus Infections);女(雌)性(Female);HIV感染(HIV Infections);HIV-1(HIV-1);人类(Humans);发病率(Incidence);婴儿, 新生(Infant, Newborn);传染性疾病传播, 垂直(Infectious Disease Transmission, Vertical);男(雄)性(Male);模型, 统计学(Models, Statistical);疾病大流行(Pandemics);肺炎, 病毒性(Pneumonia, Viral);性行为(Sexual Behavior);存活率分析(Survival Analysis)

DOI 10.1016/S2352-3018(20)30211-3

PMID 32771089

发布时间 2021-02-03

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The lancet. HIV

2020年7卷9期

e629-e640页

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Potential effects of disruption to HIV programmes in sub-Saharan Africa caused by COVID-19: results from multiple mathematical models.

The lancet. HIV

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The lancet. HIV

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Potential effects of disruption to HIV programmes in sub-Saharan Africa caused by COVID-19: results from multiple mathematical models.

The lancet. HIV

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The lancet. HIV

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