Wide income gaps linked to higher mortality rates during flood disasters UU_University naturesustai
It is important to note the limitations of the present study, which is an observational study performed at the country level, using measures of association to quantify the relationship between flood mortality and income inequality. Although the results suggest a correlation between income inequality and fatality numbers, other methods are needed to indicate causality. In addition, the Gini index is an aggregate metric, which may obscure underlying variables, and here we control for only a few.
Furthermore, the relationship between disaster outcomes and socioeconomic factors is highly context-specific and complex, both across and within countries. The top-down approach of cross-national research simplifies this complexity. We acknowledge that the scale matters, and a local study would have more potential for disentangling complex processes. Cross-national studies also have their own benefits, and we think it is important that research is conducted on a variety of scales.
Data from global databases have limitations. For instance, we proxy flood exposure for the number of individuals living in the flood-affected administrative regions in the year of the event. This is a rough proxy which does not distinguish between flooded and non-flooded areas within these regions. Moreover, the intensity of the flood events is not taken into account.
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