"I will take part in the revolution with our people": a qualitative study of healthcare workers' experiences of violence and resistance after the 2021 Myanmar coup d'etat.

Background: In Myanmar, ongoing conflict since the 2021 military coup d'etat has been characterized by targeted violence against health workers (HWs), particularly those participating in the pro-democracy movement. Existing knowledge about the challenges faced by health workers in Myanmar is scant, including their perspectives on mitigating their suffering and the broader impact on community health. This knowledge gap prompted our study to assess the extent of the violence, its impact on the workers and the community, and identify resource priorities.

Have attacks on healthcare become the new normal? a public health call to action for armed conflicts before it is too late.

The scale of attacks on healthcare has become more visible and its impact greater in recent armed conflicts in Ukraine, Sudan and Myanmar. In these conflicts, combatants systematically target health facilities and ambulances. We need to ensure that attacks on healthcare do not become the new norm amongst governmental troops and non-State armed groups.

Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke.

Background: Accurate prediction of clinical outcomes in individual patients following acute stroke is vital for healthcare providers to optimize treatment strategies and plan further patient care. Here, we use advanced machine learning (ML) techniques to systematically compare the prediction of functional recovery, cognitive function, depression, and mortality of first-ever ischemic stroke patients and to identify the leading prognostic factors.

Methods: We predicted clinical outcomes for 307 patients (151 females, 156 males; 68 ± 14 years) from the PROSpective Cohort with Incident Stroke Berlin study using 43 baseline features.

Underestimating attacks: comparing two sources of publicly-available data about attacks on health care in 2017.

Background: Attacks on health care represent an area of growing international concern. Publicly available data are important in documenting attacks, and are often the only easily accessible data source. Data collection processes about attacks on health and their implications have received little attention, despite the fact that datasets and their collection processes may result in differing numbers.