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From endorsement of the WHO Acceleration Plan to Stop Obesity to national implementation: country progress on health system preparedness to scale up a comprehensive obesity chronic care programme 从批准世卫组织遏制肥胖加速计划到国家实施:卫生系统准备工作的国家进展,以扩大肥胖症综合慢性护理规划
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-03-03 DOI: 10.1016/s2214-109x(25)00496-6
Francesca Celletti, Claire Chaumont, Jørgen Torgerstuen Johnsen, Francesco Branca, Anna Wright, Jennifer Manne-Goehler, Melanie Bertram, Rupasree Srikumar, Pavel Ursu, Luz Maria De-Regil
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引用次数: 0
Measurement matters: implications of the newly revised Sustainable Development Goal 3.8.2 financial protection indicator for global monitoring 衡量事项:新修订的可持续发展目标3.8.2财务保护指标对全球监测的影响
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-03-03 DOI: 10.1016/s2214-109x(25)00536-4
Bingqing Guo, Karen Ann Grépin
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引用次数: 0
Global estimates of tuberculosis incidence during pregnancy and postpartum: a rapid review and modelling analysis. 妊娠和产后结核病发病率的全球估计:快速审查和建模分析。
IF 19.9 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-03-01 Epub Date: 2026-01-07 DOI: 10.1016/S2214-109X(25)00431-0
Nyashadzaishe Mafirakureva, Anna Cartledge, Isobella Bradshaw, Adrie Bekker, Nicole Salazar-Austin, Sue-Ann Meehan, Landon Myer, Jasantha Odayar, Molebogeng X Rangaka, Peter J Dodd

Background: Despite known maternal, perinatal, and infant health risks of tuberculosis during pregnancy, global estimates of incidence remain scarce. Existing estimates are outdated, and do not include the postpartum period, HIV co-infection, age, or specific changes in risk, limiting our understanding of the true scale of disease in this understudied population.

Methods: In this rapid review and modelling analysis, we estimated the global tuberculosis incidence in pregnant and postpartum women using a population-based modelling approach. We searched MEDLINE and EMBASE, with no date or language limits, and included studies reporting tuberculosis incidence in pregnancy or postpartum with suitable comparison groups; we also used Feb 6, 2025, interim data from the ongoing ORCHID cohort. We combined WHO age and sex-stratified tuberculosis incidence data with country-specific population and fertility data to estimate baseline tuberculosis incidence, and applied systematic review-based risk ratios to account for elevated increased risk during pregnancy and postpartum. Uncertainty in all inputs was propagated using standard error propagation formulae and summarised as mean tuberculosis incidence rates and mean incidence rate ratios (IRRs), each reported with 95% quantile-based uncertainty intervals (UIs).

Findings: We identified 37 studies published between 1996 and 2020, of which three were of sufficient quality to provide data for HIV-negative women. One additional study (ORCHID; Odayar et al, unpublished) provided data for women living with HIV. Compared with non-pregnant women without HIV, tuberculosis IRRs were 1·34 (95% CI 1·17-1·54) during pregnancy and 1·91 (1·53-2·39) during postpartum among HIV-negative women. For women living with HIV, IRRs were 5·73 (95% CI 2·64-10·94) during pregnancy and 3·58 (0·85-9·63) postpartum. We estimated 239 500 pregnant women (95% UI 216 300-262 800) and 97 600 postpartum women (90 100-105 200) developed tuberculosis disease globally in 2023, with HIV contributing to 21·3% (19·8-22·8) and 10·6% (9·9-11·3) of cases, respectively. The WHO African region had the highest incidence (110 600 [95% UI 96 700-124 500] in pregnant women and 40 900 [36 300-45 400] in postpartum women), followed by the South-East Asia region (79 900 [64 100-95 700] in pregnant women and 35 900 [30 800-41 100] in postpartum women).

Interpretation: Pregnant and postpartum women face substantial tuberculosis risk, yet remain under-represented in global estimates. Our findings underscore the need for improved surveillance and targeted interventions to reduce tuberculosis incidence in this group.

Funding: UK Medical Research Council.

背景:尽管已知妊娠期间结核病的孕产妇、围产期和婴儿健康风险,但全球发病率估计仍然很少。现有的估计是过时的,并且不包括产后时期,艾滋病毒合并感染,年龄或风险的具体变化,限制了我们对这一未充分研究人群中疾病真实规模的理解。方法:在这项快速回顾和建模分析中,我们使用基于人群的建模方法估计了孕妇和产后妇女的全球结核病发病率。我们检索了MEDLINE和EMBASE,没有日期或语言限制,纳入了报告妊娠期或产后结核病发病率的研究,并纳入了合适的对照组;我们还使用了2025年2月6日的中期数据,来自正在进行的ORCHID队列。我们将世卫组织年龄和性别分层的结核病发病率数据与国家特定人口和生育率数据相结合,以估计基线结核病发病率,并应用基于系统评价的风险比来解释妊娠和产后风险增加的增加。所有输入的不确定性使用标准误差传播公式进行传播,并总结为平均结核病发病率和平均发病率比(IRRs),每项报告都有95%基于分位数的不确定性区间(UIs)。研究结果:我们确定了1996年至2020年间发表的37项研究,其中3项具有足够的质量,可以提供艾滋病毒阴性妇女的数据。另一项研究(ORCHID; Odayar等人,未发表)提供了感染艾滋病毒的妇女的数据。与未感染艾滋病毒的未怀孕妇女相比,艾滋病毒阴性妇女妊娠期间的结核病irr为1.34 (95% CI为1.17 -1·54),产后为1.91 (95% CI为1.53 -2·39)。对于感染HIV的妇女,怀孕期间的irr为5.73 (95% CI 2.64 - 10.94),产后为3.58(0.85 - 9.63)。我们估计2023年全球有239 500名孕妇(95% UI 216 300-262 800)和97 600名产后妇女(90 100-105 200)患结核病,其中艾滋病毒分别占21.3%(19.8 - 22.8)和10.6%(9.9 - 11.3)。世卫组织非洲区域的发病率最高(孕妇110 600例[95% UI 96 700-124 500例],产后妇女40 900例[36 300-45 400例]),其次是东南亚区域(孕妇79 900例[64 100-95 700例],产后妇女35 900例[30 800-41 100例])。解释:孕妇和产后妇女面临巨大的结核病风险,但在全球估计中仍未得到充分代表。我们的研究结果强调需要改进监测和有针对性的干预措施,以减少这一群体的结核病发病率。资助:英国医学研究理事会。
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引用次数: 0
Protecting global health in the era of the America First Strategy 在美国优先战略时代保护全球健康
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-02-19 DOI: 10.1016/s2214-109x(26)00016-1
Nelson Aghogho Evaborhene
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引用次数: 0
Cost and cost-effectiveness of ivermectin mass drug administration for malaria control in Kwale county, Kenya: a modelling analysis of a cluster-randomised trial 肯尼亚Kwale县用于疟疾控制的伊维菌素大规模药物管理的成本和成本效益:一项聚类随机试验的建模分析
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-02-16 DOI: 10.1016/s2214-109x(25)00470-x
Kexin Xie BSc, Rachel Otuko MPH, Achla Marathe PhD, Almudena Sanz Gutierrez MSc, Mercy Kariuki MSc, Leah Musyoka BSc, Esther Yaa IT Tech, Jamal Mbarak IT Tech, Isaiah Omondi MSc, Lydia Kasiwa MSc, Regina Rabinovich MD, Marta Maia PhD, Carlos Chaccour PhD, Xinwei Deng PhD, Cassidy Rist DVM
Malaria remains a major health burden in sub-Saharan Africa, where traditional vector control methods are hindered by insecticide resistance and evolving mosquito behaviour causing residual transmission. In the BOHEMIA cluster-randomised trial in Kenya, ivermectin mass drug administration (iMDA), delivered once a month for 3 months with approximately 64% population coverage, was shown to reduce malaria incidence by 26%. We aimed to assess the cost-effectiveness of iMDA as a supplementary vector control tool using data from the BOHEMIA trial in Kenya.
疟疾仍然是撒哈拉以南非洲的一个主要健康负担,在那里,传统的病媒控制方法受到杀虫剂耐药性和蚊子行为演变的阻碍,导致残留传播。在肯尼亚的BOHEMIA集群随机试验中,伊维菌素大规模药物管理(iMDA)每月一次,持续3个月,人口覆盖率约为64%,显示可将疟疾发病率降低26%。我们的目的是利用肯尼亚BOHEMIA试验的数据,评估iMDA作为一种补充性病媒控制工具的成本效益。
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引用次数: 0
Safeguarding women and girls in the age of AI 在人工智能时代保护妇女和女童
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-02-16 DOI: 10.1016/s2214-109x(26)00030-6
The Lancet Global Health
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引用次数: 0
Comment on a three-arm pragmatic trial on tobacco cessation interventions for people living with HIV in Viet Nam 对越南艾滋病毒感染者戒烟干预措施的三臂务实试验发表评论
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-02-16 DOI: 10.1016/s2214-109x(25)00500-5
Ha V Tran, Ha TT Nong
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引用次数: 0
Correction to Lancet Glob Health 2026; 14: e233–41 《柳叶刀全球健康》2026版更正;14: e233-41
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-02-16 DOI: 10.1016/s2214-109x(26)00014-8
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引用次数: 0
Research priorities for data science and artificial intelligence in global health: an international consensus exercise 全球卫生领域数据科学和人工智能的研究重点:一项国际共识
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-02-16 DOI: 10.1016/s2214-109x(25)00473-5
Peige Song PhD, Denan Jiang MPH, Jiali Zhou PhD, Prof Yajie Zhu PhD, Rosliza Abdul Manaf PhD, Prof Danladi Adamu Bojude PhD, Marie Laurette Agbre-Yace MD MPH, Sajjad Ali MBBS, Omolade Allen PhD, Anayochukwu Edward Anyasodor PhD, Zeus Aranda MSc, Awsan Bahattab PhD, Prof Adams Bodomo PhD, Florencia Borrescio-Higa PhD, Marie Buchtova PhD, Nataša Buljan MD, Vaishali Deshmukh PhD, Prof Lina Díaz-Castro MD PhD, Sohaila Cheema MBBS MPH, Winifred Ekezie PhD, Kurubaran Ganasegeran MSc, Balasankar Ganesan PhD, Anton Glasnović PhD, Christopher J Graham MPH, Mila Nu Nu Htay PhD, Chinonso Igwesi-Chidobe PhD, Prof Per Ole Iversen MD, Prof Mohammad Mainul Islam PhD, Prof Abdulkarim Jafar Karim PhD, Brane Kalpič PhD, Oluchi Kanma-Okafor MPH, Prof Giuseppe Lanza MD PhD, Prof Saturnino Luz PhD, Wiriya Mahikul PhD, Prof Dunja Mladenić PhD, Anthony Muchai Manyara PhD, Bala Munipalli MD, Nellie Myburgh PhD, Zhi Xiang Ng PhD, Georgios Nikolopoulos PhD, Chulwoo Park DrPH, Jay J Park MBChB, Prince Peprah PhD, Klara Rudan MD, Syed Ahmar Shah PhD, Ting Shi PhD, Gregor š tiglic PhD, Prof Rosnah Sutan PhD, Prof Athanasios Tsanas PhD, Holly Tibble PhD, Abdul Tawab Khpalwak MD, Prof Mark Tomlinson PhD, Prof Sandro Vento MD, Josipa Vlasac Glasnović MD, Prof Liang Wang PhD, Jingyi Xu SJD, Jianrong Zhang MD, Prof Yanfeng Zhang MMed, Eamon Sheikh BSc, Obianuju B Ozoh MBBS MSc, Apostolos Tsiachristas PhD, Davies Adeloye MD PhD, Steven Kerr PhD, Mili Sanwalka MBA, Prof Stjepan Orešković PhD, Prof Aziz Sheikh MD, Prof Igor Rudan PhD
Applications of data science and artificial intelligence (AI) in global health are expanding, yet research remains fragmented and often misaligned with the needs of low-income and middle-income countries (LMICs). To address this misalignment, we conducted a global research priority-setting exercise using the Child Health and Nutrition Research Initiative (CHNRI) method. 155 research ideas were scored by 51 experts based on feasibility, potential impact on disease burden, paradigm shift potential, implementation potential, and equity. Top-ranked priorities focused on epidemic preparedness, including AI-based outbreak prediction, improved diagnostics for infectious diseases, and early-warning systems. Other highly ranked topics included AI-assisted resource allocation, telemedicine, culturally adapted mobile health services, and chronic disease management tools. Experts from LMICs prioritised infectious disease control and diagnostic equity, whereas experts from high-income countries emphasised infrastructure and climate-related analytics. The resulting agenda provides a roadmap for aligning AI and data science research with global health priorities, particularly in LMICs.
数据科学和人工智能(AI)在全球卫生领域的应用正在扩大,但研究仍然零散,而且往往与低收入和中等收入国家的需求脱节。为了解决这一错位,我们使用儿童健康和营养研究倡议(CHNRI)的方法进行了一项全球研究优先事项设置工作。51位专家根据可行性、对疾病负担的潜在影响、范式转变潜力、实施潜力和公平性对155个研究想法进行评分。最重要的优先事项集中在流行病防范方面,包括基于人工智能的疫情预测、改进传染病诊断和早期预警系统。其他排名靠前的主题包括人工智能辅助资源分配、远程医疗、适应文化的移动卫生服务和慢性病管理工具。来自中低收入国家的专家优先考虑传染病控制和诊断公平,而来自高收入国家的专家则强调基础设施和与气候相关的分析。由此产生的议程提供了一个路线图,使人工智能和数据科学研究与全球卫生优先事项保持一致,特别是在中低收入国家。
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引用次数: 0
Prevalence and outcomes of intrinsic capacity impairments assessed using the WHO Integrated Care for Older People (ICOPE) framework in The Gambia, South Africa, and Zimbabwe: a cross-sectional study 使用世卫组织老年人综合护理(ICOPE)框架评估冈比亚、南非和津巴布韦内在能力障碍的患病率和结果:一项横断面研究
IF 34.3 1区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Pub Date : 2026-02-16 DOI: 10.1016/s2214-109x(25)00490-5
Anthony Muchai Manyara PhD, Tadios Manyanga MSc, Momodou Jallow BSc, Etheldreda I Yoliswa Madela MD, Hannah Wilson PhD, Anya Burton PhD, Farhanah Paruk PhD, Chris Grundy MSc, Lucy Gates PhD, Isatou Drammeh PhD, Prof Bilkish Cassim MD, Prof Rashida A Ferrand PhD, Prof Kate A Ward PhD, Prof Celia L Gregson PhD
Despite rising longevity across Africa, the epidemiology of intrinsic capacity (combination of mental and physical capacities) impairments (ICIs) is understudied. We aimed to determine the prevalence of ICIs and associated sociodemographic and lifestyle factors, pain, functional limitations, and health-related quality of life (HRQoL) across three African countries.
尽管非洲人的寿命在不断延长,但对内在能力(精神和身体能力的结合)缺陷的流行病学研究却不足。我们的目的是确定三个非洲国家的ICIs患病率以及相关的社会人口统计学和生活方式因素、疼痛、功能限制和健康相关生活质量(HRQoL)。
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引用次数: 0
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Lancet Global Health
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