The dataset provides essential details about each event, including disaster type, location, magnitude, date, fatalities, and economic damages, by simulating natural disaster occurrences in 2024. It has about 10,000 records and is about 300 KB in size. The information is formatted for analysis and includes fields such as:

• Disaster_ID: A special number assigned to every calamity.
• Disaster_Type: Category (e.g., Flood, Fire, Earthquake).
• Location: The nation where the catastrophe happened.
• Magnitude: The disaster's intensity (scale of 1.0 to 10.0).
• Date: The event's timestamp.
• Fatalities: The total number of people killed by the calamity.
• Economic_Loss($): Damage to finances expressed in US dollars.

Disaster preparedness, risk assessment, trend analysis, and predictive modeling can all benefit from this dataset. It facilitates understanding of the effects of disasters, assisting researchers, politicians, and financial institutions in making wise choices.

In 2023, there was a total of *** natural disasters events recorded worldwide, down from *** recorded a year earlier. The Europe, Middle East and Africa region experienced the highest number of natural disasters that year. Deaths and costs of natural disasters Natural disasters affect almost every part of the world. In February 2023, Turkey and Syria were hit by earthquakes that resulted in the highest number of deaths due to natural disaster events that year. In terms of economic damage, Hurricane Katrina remains one of the most expensive natural disasters in the world, topped only by the earthquake/tsunami which hit Japan in 2011. Climate change and natural disasters Climate change has influenced the prevalence of natural disasters. Global warming can increase the risk of extreme weather, resulting in higher risk of droughts and stronger storms, such as tropical cyclones. For instance, higher levels of water vapor in the atmosphere give storms the power to emerge. Furthermore, the heat in the atmosphere and high ocean surface temperatures lead to increased wind speeds, which characterize tropical storms. Areas that are usually unaffected by the sea are becoming more vulnerable due to rising sea levels as waves and currents become stronger.

We aimed to estimate the pooled incidence of posttraumatic stress disorder among survivors after the 2015 earthquake in Nepal based on available literature and highlight the psychological effects of natural disasters that can hamper the recovery process in the aftermath of disaster. The study protocol was registered on PROSPERO with reference number CRD42024576444. Electronic databases such as PubMed and Google Scholar were searched for observational studies in English that assessed posttraumatic stress disorder at least 1 month after the earthquake via a validated tool from April 2015 to August 2024. In addition, references to the included studies were thoroughly searched. High-quality articles were included after the risk of bias assessment. The random-effects model was used to calculate the pooled incidence with a 95% confidence interval along with subgroup analysis. An analysis of 25 studies revealed a pooled incidence of 22.6%, ranging from 17.6 to 27.5%. A high degree of heterogeneity (I2 = 97.56%, p

Characteristics of the studies included in this systematic review and meta-analysis.