The January 2025 Los Angeles wildland-urban interface wildfires represent a significant environmental disaster, resulting in widespread evacuations. Beyond the immediate physical and economic devastation, wildfires can have profound and lasting impacts on the mental well-being of affected populations. This study compared mental health outcomes between Southern California residents who evacuated due to the fires and those who did not evacuate.

Southern California residents (N = 739) were surveyed 2-3 months after the January 2025 wildfires. Logistic regression models assessed the association of evacuation status with depression, anxiety, and PTSD, adjusting for demographics and baseline pre-fire levels of depression and anxiety.

Evacuating was significantly associated with higher odds of depression (AOR = 1.75 [1.08-2.85]) and PTSD (AOR = 2.44 [1.36-4.35]), after controlling for pre-fire mental health status and other demographic covariates. Evacuation status was not associated with anxiety.

These findings support previous research linking wildfire exposure to adverse mental health outcomes and highlight the importance of targeted mental health screening and support for wildfire evacuees, who are at increased risk for depression and PTSD.

Climate change is contributing to increased frequency and intensity of wildfires in California. This study evaluated the self-reported impacts of the California Oak Fire on the health of a medically at-risk population and identified their wildfire preparedness and information needs.

A cross-sectional mixed-methods survey was conducted from April-July of 2023 of those with self-identified special needs in emergencies. The survey assessed self-reported wildfire preparedness, information needs, evacuation response, and health impacts.

A total of 53 surveys were completed for a response rate of 23.1%. Most respondents had medical conditions (94%). One-fifth (21%) of respondents reported missed or delayed medical appointments and harm to their health from the Oak Fire; these groups reported significantly more medical conditions (4.1 v. 2.5, P = 0.0055) and use of more medical devices (3.5 v 2, P = 0.007) than those without harm to their health. The most common way respondents learned about the Oak Fire was by seeing fire plumes/smelling smoke (59%); the most trusted information source was county officials (77%). Less than half of respondents (40%) evacuated during the Oak Fire.

Wildfires are associated with interruptions in medical care that harm health, particularly for medically at-risk populations.

Wildfire smoke causes respiratory health concerns. The study estimates respiratory hospitalization risk from wildfires, determines distance to a hospital, and identifies concentrations of smoke-sensitive groups far from a hospital to facilitate public health and emergency preparedness in Oregon using spatial analysis.

Statistically significant environmental factors were identified with regression and used with wildfire and pollution concentrations to predict respiratory hospitalizations. A weighted overlay of the significant factors formed a statewide risk layer. Proximity to the hospital nearest to each Census block was determined by driving distance. Clusters of smoke-sensitive groups, determined by relevant Census demographics, were identified through a Hot Spot Analysis.

This process allowed for highlighting locations of smoke-sensitive groups in areas at high risk for respiratory hospitalization from wildfire smoke who were far from a hospital. The results allow local officials to identify the type and magnitude of needs they can expect in the event of a wildfire.

The results demonstrate a process to facilitate wildfire preparedness in Oregon. This process could be adapted to inform wildfire resilience strategies in other regions facing similar challenges, such as California. Understanding local needs allows officials to target communications more effectively, stage resources more efficiently, and identify gaps that can be addressed before a disaster strikes.

Wildfires have escalated into a global threat with profound impacts on health, society, and the environment. The increasing frequency and intensity of these disasters, influenced by climate change and urban expansion, necessitate a comprehensive understanding of their direct health consequences.

This study conducted a retrospective analysis of global wildfire disasters from January 2000 to December 2023, utilizing data from the Emergency Events Database (EM-DAT). The analysis focused on the direct health outcomes—mortalities and injuries—excluding indirect effects such as smoke inhalation. Data were meticulously cleaned, categorized, and analyzed using quantitative methods, with statistical tests employed to validate the findings.

The study identified 309 significant wildfire disasters, with forest fires accounting for 80% of these events. These incidents resulted in 1890 fatalities and 14 360 injuries, with the highest tolls observed in Southern Europe, Northern America, and the Australia-New Zealand region. A notable rise in wildfire incidents was observed over the study period, underscoring the critical intersections between climate change, urban expansion, and wildfire risks. The analysis highlighted significant geographical and temporal patterns, emphasizing the regions and factors contributing to heightened wildfire vulnerability.

The findings underscore the urgent need for robust disaster preparedness and effective mitigation strategies. Integrating advanced early warning systems and Traditional Ecological Knowledge into wildfire management practices is essential. The study calls for proactive public health measures and interdisciplinary approaches to address the multifaceted challenges posed by wildfires. Continuous research and policy formulation are crucial to protect vulnerable communities and mitigate the increasing threat of wildfires globally.

Researchers at the Centers for Disease Control and Prevention monitor unplanned school closure (USC) reports through online systematic searches (OSS) to assist public health emergency responses. We counted the additional reports identified through social media along with OSS to improve USC monitoring.

Facebook and Twitter data of public-school districts and private schools in counties affected by California wildfires in October and December of 2017 and January of 2018 were retrieved. We computed descriptive statistics and performed multivariable logistic regression for both OSS and social media data.

Among the 362 public-school districts in wildfire-affected counties, USCs were identified for 115 (32%) districts, of which OSS identified 104 (90%), Facebook, 59 (52%), and Twitter, 37 (32%). These data correspond to 4622 public schools, among which USCs were identified for 888 (19.2%) schools, of which OSS identified 722 (81.3%), Facebook, 496 (55.9%), and Twitter, 312 (35.1%). Among 1289 private schools, USCs were identified for 104 schools, of which OSS identified 47 (45.2%), Facebook, 67 (64.4%), and Twitter, 29 (27.9%). USC announcements identified via social media, in addition to those via OSS, were 11 public school districts, 166 public schools, and 57 private schools.

Social media complements OSS as additional resources for USC monitoring during disasters.

The California Emergency Medical Services Authority manages and deploys California Medical Assistance Teams (CAL-MAT) to disaster medical incidents in the state. This analysis reviews diagnoses for ambulatory medical visits at multiple wildland fire incident base camp field sites in California during the 2020 fire season.

Clinical data without personal health information were extracted retrospectively from patient care records from all patients seen by a provider. Results were entered into Excel spreadsheets with calculation of summary statistics.

During the 2020 fire season, CAL-MAT teams deployed 21 times for a total of 327 days to base camps supporting large fire incidents and cared for 1756 patients. Impacts of heat and environmental smoke are a constant factor near wildfires; however, our most common medical problem was rhus dermatitis (54.5%) due to poison oak. All 2020 medical missions were further complicated by prevention and management of coronavirus disease (COVID-19).

There is very little literature regarding the acute medical needs facing responders fighting wildland fires. Ninety-five percent of clinical conditions presenting to a field medical team at the wildfire incident base camp during a severe fire season in California can be managed by small teams operating in field tents.

The aim of this study is to assess prevalence of major depressive disorder (MDD), generalized anxiety disorder (GAD), and posttraumatic stress disorder (PTSD) in students of Keyano College 18 months after a wildfire and to determine the predictors of likely MDD, GAD, and PTSD in the respondents.

A quantitative cross-sectional survey was used to collect data through self-administered, paper-based questionnaires to determine likely MDD, GAD, and PTSD using the PHQ 9, GAD-7, and the PTSD Checklist for DSM 5, Part 3, respectively. Data were analyzed with SPSS version 20 (IBM Corp, Armonk, NY) using univariate analysis with chi-square tests.

Eighteen months after the wildfire, the 1-month prevalence rates for MDD, GAD, and PTSD among the college students were 23.4%, 18.7%, and 11.0%, respectively. There were statistically significant associations between multiple sociodemographic variables and the likelihood respondents presented with MDD, GAD, and PTSD 18 months after the wildfire. There were also associations between the likely MDD, GAD, and PTSD and abuse/dependence on alcohol and substances in respondents at 18 months.

Our study has established prevalence rates for MDD, GAD, and PTDS among college students 18 months after the Fort McMurray wildfires. Further studies are needed to explore the impact of college-based mental health interventions on the long-term mental health effects of the wildfires.