Results 191 to 200 of about 694,556 (299)

How Health Systems ‘Software’ Factors Affect Frontline Health Workers' Humanitarian Response Efforts During Infectious Disease Outbreaks in the Rohingya Refugee Camps, Cox's Bazar, Bangladesh

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT Humanitarian settings face a growing healthcare workforce crisis marked by staff shortages, unsafe working conditions, and limited professional development. Despite being critical intermediaries in outbreak responses, demands on health workers come at a substantial cost to their health and wellbeing.
Georgia Venner   +9 more
wiley   +1 more source

“Thinking Out Loud” and “Pivoting on the Fly”—An Empirical Review and Critical Incident Study of How Physicians Engage in Incidental Learning Amidst Complexity

open access: yesHuman Resource Development Quarterly, EarlyView.
ABSTRACT This study explores incidental learning among physicians navigating uncertainty during the COVID‐19 pandemic. Using a constructivist research design, we conducted a literature review of 13 empirical studies on incidental learning in complexity and analyzed critical incident interviews with 12 emergency medicine and intensive care physicians ...
Henriette Lundgren   +4 more
wiley   +1 more source

Respiratory Syncytial Virus Under the Lens of Structure: From Prefusion Stabilization to Next‐Generation Immunotherapies

open access: yesiNew Medicine, EarlyView.
This illustration integrates key concepts covered in the review, including high‐risk populations, viral structure, host entry factors, the replication cycle, and licensed antibody‐based prevention strategies. ABSTRACT Respiratory syncytial virus (RSV) is a negative‐sense RNA virus belonging to the genus Orthopneumovirus within the family Pneumoviridae.
Zekai Cheng   +3 more
wiley   +1 more source

Cholera in Lagos State, Nigeria: a One Health perspective on outbreaks and public health interventions. [PDF]

open access: yesFront Public Health
Oduoye MO   +10 more
europepmc   +1 more source

Interpretable machine learning enables early and accurate detection of drug‐induced liver injury: A multicenter study with real‐world clinical translation

open access: yesInterdisciplinary Medicine, EarlyView.
This study develops an interpretable gradient‐boosting model that accurately identifies drug‐induced liver injury (DILI) using routine laboratory data. The model explains key clinical features through SHapley Additive exPlanations analysis and detects DILI earlier than expert evaluation, offering a transparent and practical tool for precision ...
Jingyi Ling   +13 more
wiley   +1 more source

Measles at the U.S.-Mexico border: The fragility of cross-border disease control. [PDF]

open access: yesPLOS Glob Public Health
Chacon-Cruz E   +6 more
europepmc   +1 more source

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