2021
DOI: 10.4103/jehp.jehp_1525_20
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Worldwide disaster loss and damage databases: A systematic review

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Cited by 30 publications
(20 citation statements)
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References 27 publications
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“…In general, we noticed a shift from "distant" impacts on animals (such as diminishing habitats for ice bears and penguins) to massive natural disasters like floods, wild fires, or droughts. Although 2021 was a record year in climate-related disasters 18 , this is not reflected in the attention to the Impacts theme, indicating that Twitter users seem to have other priorities in the climate change discourse, or that many regional events are not picked up in our English-language sample.…”
Section: Divergence In the Recovery For Different Themesmentioning
confidence: 92%
“…In general, we noticed a shift from "distant" impacts on animals (such as diminishing habitats for ice bears and penguins) to massive natural disasters like floods, wild fires, or droughts. Although 2021 was a record year in climate-related disasters 18 , this is not reflected in the attention to the Impacts theme, indicating that Twitter users seem to have other priorities in the climate change discourse, or that many regional events are not picked up in our English-language sample.…”
Section: Divergence In the Recovery For Different Themesmentioning
confidence: 92%
“…We conducted a cross-sectional analysis on disaster events the Emergency Events Database EM-DAT (18). EM-DAT is a free open access disaster database, considering disasters from all over the world (19). We included listed events between January 2000 and December 2023 in Central Europe, which was defined as Germany and bordering countries (Denmark, The Netherlands, Belgium, Luxembourg, Switzerland, Austria, Czech Republic, and Poland).…”
Section: Methodsmentioning
confidence: 99%
“…Understanding disaster risk in all its dimensions of vulnerability, capacity, exposure of persons and assets, hazard characteristics and the environment must be the basis for more effective disaster risk management in the future. Paradoxically, while our knowledge of the physical aspects of hazards is increasing, much of that knowledge is not being used effectively or at a scale to ensure robust decision-making beyond While global disaster databases are important, they have biases regarding the types of risk, time span, accounting, thresholds and spatial coverage resolution (Moriyama et al 2018, Mazhin et al 2021. These are obstacles to science-based analyses of the drivers, impacts and the effectiveness of DRR policies.…”
Section: Priority 1: Understanding Disaster Riskmentioning
confidence: 99%