Measuring Natural Hazard-Related Disasters through Self-Reports

Ben Edwards , Matthew Gray , Judith B. Borja

International Journal of Disaster Risk Science ›› 2021, Vol. 12 ›› Issue (4) : 540 -552.

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International Journal of Disaster Risk Science ›› 2021, Vol. 12 ›› Issue (4) : 540 -552. DOI: 10.1007/s13753-021-00359-1
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Measuring Natural Hazard-Related Disasters through Self-Reports

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Abstract

Exposure to multiple natural hazard-related disasters will become more common due to climate change. This article reports on the development and validation of a cumulative measure of exposure to natural hazard-related disasters (2013–2017) at the area level, and an individual-level measure of disaster impact using data from the Longitudinal Cohort Study on the Filipino Child and linked data from the International Disaster Database (EM-DAT). Caregiver reports of cumulative exposure to disasters had statistically significant associations with disasters reported by neighborhood officials and with disasters in EM-DAT. Using ecometric techniques we generated a reliable community average measure of exposure to natural hazard-related disasters. Based on neighbor but not individual self-reports this exogenous measure of disaster exposure in the local area was more strongly related to EM-DAT and official neighborhood reports than individual reports. To capture household variation we developed an individual-level measure of disaster impacts. Disaster impact was associated with measures of exposure (individual and community average), community ratings by officials, and EM-DAT but only moderately associated with the community average exposure. Both the community average and disaster impacts measures were associated with household income and the adequacy of income in households.

Keywords

Disaster exposure / Measuring disasters / Philippines / Socioeconomic impacts / Social surveys / Subjective indicators

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Ben Edwards, Matthew Gray, Judith B. Borja. Measuring Natural Hazard-Related Disasters through Self-Reports. International Journal of Disaster Risk Science, 2021, 12(4): 540-552 DOI:10.1007/s13753-021-00359-1

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