Hafid Bouzekri

Wildland–urban interfaces (WUIs) are critical zones for wildfire prevention in Mediterranean and semi-arid landscapes, particularly where human settlements interact with continuous combustible vegetation. In Algeria, operational tools for delineating WUI configurations and spatially prioritizing preventive actions remain limited. This study develops a GIS-based structural wildfire-risk prioritization framework for the Djebel El Ouahch massif (Constantine, northeastern Algeria) by combining WUIMAP II settlement typologies with an Aggregation Index (AI) describing the horizontal continuity of arboreal and shrub vegetation derived from Sentinel−2 data. Built-up structures were classified as isolated housing, dispersed housing, main urbanized areas, or peripheral zones and combined with three AI classes to delineate relative structural-priority areas. Dispersed and isolated housing accounted for 55% and 37% of mapped housing structures, respectively, while the WUI contained an estimated 18,100 inhabitants distributed across 3620 housing units. The resulting WUI × AI structural-priority layer covered 0.863 km², of which high- and very-high-priority zones jointly represented 0.544 km² (63.04%). These priority areas identify locations where structurally exposed settlement configurations coincide with greater horizontal fuel continuity, providing a spatial basis for targeted fuel management, surveillance planning, emergency-access improvement, and wildfire-prevention actions. By improving the spatial targeting of preventive measures, the framework can contribute to sustainable forest and land management, disaster-risk reduction, ecosystem protection, and the resilience of WUI settlements.

Forest fires are a significant environmental challenge, impacting ecosystems, biodiversity, and human communities. Over the past decade, research on forest fire mapping and management has surged, reflecting the urgent need for effective strategies to mitigate these risks. This review examines the relation between the mapping and management of forest fires from 2013 to 2023 using a bibliometric analysis based on the PRISMA framework. The Scopus database was selected for its extensive range of publications, ensuring comprehensive coverage of relevant research. An initial search identified 927 documents, which were refined to 240 publications through specific inclusion and exclusion criteria. The analysis reveals a notable increase in publications since 2019, highlighting the most productive journals, authors, institutions, and countries in this field. Key findings include the identification of leading research hubs and influential contributors, as well as emerging trends and prevalent keywords. The growing number of literature underscores the critical role of mapping and managing forest fires, particularly in the context of global climate change and its exacerbating effects on fire incidence and severity. This review provides valuable insights into the evolving landscape of forest fire research, emphasizing the importance of continued innovation and collaboration.

Since the emergence of the Coronavirus disease (COVID-19) pandemic, the disease has affected more than 675 million people worldwide, including more than 6.87 million deaths. To mitigate the effects of this pandemic, many countries established control measures to contain its spread. Their riposte was based on a combination of pharmaceutical (vaccination) and non-pharmaceutical (such as facemask wearing, social distancing, and quarantine) measures. In this way, cross-sectional research was conducted in Algeria from 23 December 2021 to 12 March 2022 to investigate the effectiveness of preventative interventions in lowering COVID-19 infection and severity. More specifically, we investigated the link between mask-wearing and infection on one side, and the relationship between vaccination and the risk of hospitalization on the other. For this purpose, we used binary logistic regression modeling that allows learning the role of mask-wearing and vaccination in a heterogeneous society with respect to compliance with barrier measures. This study determined that wearing a mask is equally important for people of all ages. Further, findings revealed that the risk of infection was 0.79 times lower among those who were using masks (odds ratio (OR) = 0.79; confidence interval (CI) 95% = 0.668–0.936; p-value = 0.006). At the same time, vaccination is a necessary preventive measure as the risk of hospitalization increases with age. Compared with those who did not get vaccinated, those who got vaccinated were 0.429 times less likely to end up in the hospital (OR = 0.429; CI95% = 0.273–0.676; p < 0.0001). The model performance demonstrates significant relationships between the dependent and independent variables, with the absence of over-dispersion in both studied models, such as the Akaike Information Criterion (AIC) scores. These findings emphasize the significance of preventative measures and immunization in the battle against the COVID-19 pandemic.