Challenges, barriers and opportunities for neglected tropical disease programs of conflict-affected African countries [0.03%]
受冲突影响的非洲国家防治被忽视疾病的挑战、障碍及机遇
Emma M Harding-Esch,Francesca Bird,Ambreen Bashir et al.
Emma M Harding-Esch et al.
Background: Insecurity and conflict threaten achievement of global neglected tropical disease (NTD) targets. Identifying conflict-associated challenges and mitigation strategies can inform NTD programmatic decision-making...
Self-perceived health status and contraceptive use: empirical evidence from Ghana's Demographic and Health Survey [0.03%]
来自加纳人口与健康调查的经验证据：自我感知的健康状况和避孕使用情况
Gadafi Musah Ibrahim,Naasegnibe Kuunibe,Mohammed Gbanja Abdulai
Gadafi Musah Ibrahim
Background: Unintended pregnancies and unsafe abortions worsen maternal health. Although contraception can lower maternal mortality, its use is still limited. Additionally, self-perceived health (SPH) status affects contr...
Forced displacements at the human-animal interface: a narrative review of knowledge gaps and One Health insights [0.03%]
人畜共患病界面的人为流离失所：知识空白及“同一个健康”的见解述评
Giorgia Casti,Chandralekha Nair,Emanuele De Ponti et al.
Giorgia Casti et al.
Environmental emergencies and conflicts are major drivers of human and animal displacements, increasing the spread of communicable diseases. In such contexts, livestock keepers are among the most vulnerable communities. As a matter of fact,...
Sarah R Prowse
Sarah R Prowse
Feasibility and outcomes of diabetes mellitus screening in people with tuberculosis in Burundi [0.03%]
布隆迪结核病患者中糖尿病筛查的可行性和结果研究
François Ciza,Michel Sawadogo,Josélyne Nsanzerugeze et al.
François Ciza et al.
Background: Diabetes mellitus (DM) is associated with an increased risk of death and relapse during tuberculosis (TB) treatment. Systematic screening and treating DM can improve outcomes. However, DM screening is poorly i...
Piloting of a modular competency-based training to improve maternal and newborn health in Nepal: a mixed-methods study [0.03%]
在尼泊尔开展基于能力的模块化培训试点项目以改善孕产妇和新生儿健康：一项混合研究方法的研究
Yeshoda Aryal,Khim Bahadur Khadka,Deepak Paudel et al.
Yeshoda Aryal et al.
Background: Despite increased facility-based childbirth in Nepal, stagnant neonatal and high maternal mortality highlight a critical 'know-do' gap in care quality. To address this, a modular, competency-based learning res...
Translation and validation of the Igbo version of the Warwick-Edinburgh Mental Well-being Scale in Nigeria [0.03%]
尼日利亚伊博语版本的华威爱丁堡精神 wellbeing 量表的翻译与验证
Ngozi Ekeke,Kingsley N Ukwaja,Amaka Onyima-Esmai et al.
Ngozi Ekeke et al.
There is growing international interest in the assessment of mental well-being. This study offers lessons learned from the field in the assessment of the validity and the reliability of the Igbo version of the Warwick-Edinburgh Mental Well-...
Long-term impact of health policy and management training for health experts from the LMICs: 2022 Dr. LEE Jong-wook fellowship program [0.03%]
来自LMIC的卫生专家的卫生政策和管理培训的长期影响：2022年李钟郁博士奖学金项目
Vasuki Rajaguru,Jun Su Park,Soo Hyeok Choi et al.
Vasuki Rajaguru et al.
Background: Strengthening health leadership and management capacity in low- and middle-income countries (LMICs) is critical for building resilient health systems. The Dr. Lee Jong-wook Fellowship Program (LJWFP), implemen...
Systematic narrative review on Menstrual health and hygiene (MHH) in Nigeria, Ghana, Liberia and The Gambia [0.03%]
尼日利亚、加纳、利比里亚和冈比亚的月经健康与卫生(MHH)系统性叙述性综述
Sarah Funmilayo Kuponiyi,Adetoun Adedotun Amubode
Sarah Funmilayo Kuponiyi
Menstrual health and hygiene (MHH) are critical components of women's well-being, yet they continue to be overlooked in many low-resource settings. Addressing MHH issues in West Africa is crucial due to their widespread impact on education,...
A responsible AI framework for infection surveillance in low-resource settings: ethics, opportunities and threats for LMICs (EOT-LMICs) [0.03%]
资源匮乏条件下用于感染监测的负责任AI框架：LMICs的伦理、机遇与威胁（EOT-LMICs）
Mamdooh Alzyood
Mamdooh Alzyood
The integration of artificial intelligence (AI) into infection surveillance represents a significant shift in public health; however, most AI frameworks and implementation guidance neglect the distinct constraints of low- and middle-income ...