🌍 New Publication: Geospatial and Temporal Patterns of Natural and Man-Made (Technological) Disasters (1900–2024): Insights from Different Socio-Economic and Demographic Perspectives 📢 Dear colleagues, We are excited to share that our latest article, „Geospatial and Temporal Patterns of Natural and Man-Made (Technological) Disasters (1900–2024): Insights from Different Socio-Economic and Demographic Perspectives“, has been published in Applied Sciences and is now available online! 📄🔗 🔗 Read the full article here: https://www.mdpi.com/2076-3417/14/18/8129 This research analyzes disaster data over a century, examining the geospatial and temporal distribution of natural and technological disasters across different socio-economic contexts. Our findings shed light on the frequency, location, and severity of disasters worldwide, offering a comparative perspective between high- and low-income countries. Key insights: 🌍 The results showed a dramatic escalation in both natural and man-made (technological) disasters over the decades, with notable surges in the 1991–2000 and 2001–2010 periods. 📊A total of 25,836 disasters were recorded worldwide, of which 69.41% were natural disasters (16,567) and 30.59% were man-made (technological) disasters (9269). 📊The most significant increase in natural disasters occurred from 1961–1970, while man-made (technological) disasters surged substantially from 1981–1990. 📊Seasonal trends reveal that floods peak in January and July, while storms are most frequent in June and October. 📊Droughts and floods are the most devastating in terms of human lives, while storms and earthquakes cause the highest economic losses. 📊The most substantial economic losses were reported during the 2001–2010 period, driven by catastrophic natural disasters in Asia and North America. 📊Also, Asia was highlighted by our research as the most disaster-prone continent, accounting for 41.75% of global events, with 61.89% of these events being natural disasters. 📊 The Pearson correlation analysis underscores that socio-economic factors, particularly population density and urbanization rate, play a significant role in influencing the distribution and consequences of disasters, including the number […]