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    Understanding the human dimensions of wildfire risk at a community level in British Columbia, Canada
    (2026-03-01)
    Recent spikes in the number of large and catastrophic wildfires in Canada pose significant risks to the environment and society. Rural and remote communities are especially at risk due to their location in wildfire‐prone areas, remoteness, and limited access or escape routes. In this paper, we examine how rural communities experience wildfire risk through a case study of the Robson Valley, British Columbia, Canada. An analysis of data collected through semi‐structured interviews and focus groups with residents shows that wildfire risk is shaped by diverse socio‐economic and political factors, which must be considered alongside the hazard potential for wildfire. Participants identified sensitivities related to declines in the forest industry sector and reduced capacity for fire preparedness, the potential impacts of a fire on power and transportation networks, and loss of timber supply. Limits to adaptation included the centralization of government services that changed how wildfires are suppressed—central crews are dispatched to rural areas, which can conflict with local values and attitudes for responding to wildfires. The findings suggest that rural and remote communities should be meaningfully engaged in wildfire risk management, which entails decentralizing some power and resources to communities.
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    Invisible costs of care: Health consequences for women supporting survivors of intimate partner violence in South America
    (SAGE Publishing, 2026-04-01)
    This study examines the often-overlooked health consequences experienced by women who provide informal support to survivors of intimate partner violence against women (IPVAW) in their communities. In contrast, extensive research has documented the physical and psychological impacts of violence on survivors; far less attention has been paid to the invisible costs borne by supporters—neighbors, friends, coworkers, or relatives—who are repeatedly exposed to traumatic disclosures and the demands of caregiving. Grounded in the complementary frameworks of Secondary Traumatic Stress, Vicarious Trauma, Compassion Fatigue, and Allostatic Load, this study conceptualizes the “cost of caring” as the cumulative psychological and physiological burden of informal caregiving. Unlike previous research that has focused mainly on professional providers, our analysis highlights the experiences of women embedded in gendered, community-based care networks. A two-phase cross-sectional probabilistic household survey design was implemented in two South American countries with a high prevalence of IPVAW. The exploratory phase was conducted in a high-incidence district in Peru (n = 507), followed by a confirmatory phase using a nationally representative sample in Ecuador (n = 2,501). Standardized instruments measured support intensity, emotional and physical morbidity, and personal victimization. Multivariate analyses, controlling for sociodemographic and violence-related covariates, showed that women providing support to IPVAW survivors reported significantly higher levels of emotional morbidity (β = .075–.083) and physical morbidity (β = .038–.058), even after adjusting for their own experiences of violence. Findings reveal a robust and statistically significant association between informal caregiving and increased health burden, underscoring that the impacts of violence extend beyond survivors to those who sustain them. By making these hidden costs visible, this study contributes to both the social support literature and the IPVAW field, reframing community-level caregiving as a critical public health issue. Although causal inference is limited by the cross-sectional design, the consistency of results across two countries strengthens the external validity and global relevance of the phenomenon.
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    “Men's is the only and final word.” A qualitative study of community midwives' insights on violence against women and girls in Yemen, including the forms, causes, and responses of survivors and their families
    (2025-01-07)
    Violence against women and girls (VAWG) is a serious human rights violation that has intensified in Yemen due to war, displacement, and pandemics. The cultural stigma surrounding discussions of VAWG, particularly sexual violence, compounded by a lack of resources for affected individuals, poses significant challenges for research and program implementation. This study involved qualitative interviews with 20 community midwives from the National Yemeni Midwifery Association across four governorates to explore the causes, forms, and consequences of VAWG and identify potential resources for survivors. A Yemeni physician trained in ethical VAWG research conducted the interviews, which were analysed thematically by two researchers. The findings indicated that physical partner violence was widely recognised as a crime; however, women and girls facing sexual violence often faced severe social ramifications, including ostracism or violence aimed at preserving family honour, leading to underreporting. Midwives identified patriarchal culture and the ongoing economic crisis as key contributors to VAWG. Health-related consequences for survivors included physical injuries such as vaginal tears and obstetric fistula. Additionally, midwives reported that survivors encountered humiliation within the healthcare system. Most women and girls did not seek help; however, when they did, they turned to their families or local leaders for support. To effectively understand, prevent, and address VAWG in Yemen, strategies should prioritise the safety and needs of women and align with cultural values. Insights from community midwives can guide the development of VAWG-focused community-led initiatives.
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    Tsunami pedestrian evacuation simulation for Camaná, Peru: Perspectives for improving evacuation performance
    (EDP Sciences, 2025)
    Optimizing pedestrian evacuation in the face of a tsunami remains a critical challenge for safeguarding human lives. Agent-based models combined with reinforcement learning techniques offer a powerful framework to simulate complex evacuation scenarios, where agents learn to make decisions and identify safe routes in real time. This study focuses on improving evacuation efficiency along the coast of Camaná, Arequipa, Peru. We propose the use of numerical simulations to model pedestrian movement under the guidance of a reinforcement learning-based system. Under current transportation network conditions, only 16.6% of the population is able to reach a safe area in a tsunami scenario similar to the 2001 event. To address this, several modifications to the transportation network were proposed, including the addition of new evacuation paths and the construction of vertical evacuation structures. With the incorporation of 12 new paths and 6 vertical evacuation structures, the percentage of the population reaching safety increases to 73%. These findings provide a scientific basis for planning and implementing improvements to evacuation infrastructure in tsunami-prone areas.
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