Table 3.
Results of injury prevalence rates in individual studies (total n = 40,213)
| Study (author/year) | Country (HDIa) | Event/year | N | Assessment tool | Time point measured | Injury prevalence |
|---|---|---|---|---|---|---|
| Cross sectional studies | ||||||
| Bich et al. 2011 [42] | Vietnam (medium) | Flood, 2008 | 871 | Structured interview & data of MICRODIS household survey | 1 month post | Exposed: 2.4 %; Control: 0.7 % |
| Biswas et al. 2010 [43] | Bangladesh (low) | Flood, 2007 | 638 women | Face to face interview, semi-structured questionnaire | Few days post | 18 % |
| Sjöberg & Yearwood 2007 [45] | Grenada (high) | Storm, Hurricane Ivan, 2004 | 185 | Hospital records | 1 month post | 35.7 % (women, n = 16, men, n = 50) |
| Xu et al. 2012 [31] | China (medium) | Storm, snowstorm, 2008 | 3169 | Structured questionnaire | Few days post | 37.9 % |
| Cohort studies | ||||||
| Simeon et al. 1993 [37] | Jamaica (high) | Storm, Hurricane Gilbert, 1988 | 125 children | Structured questionnaire | 2–4 months post | Exposed: 1.7 %, 1.8 %, 2.4 % b; Control: 1.3 %, 2.1 %c |
| Sugimoto et al. 2011 [32] | Bangladesh (low) | Storm, tornado, 2005 | 35,225 | Interview | 4 months post | 10.5 % |
Explanation: aHuman Development Index category; b3 2-month-periods during/post-disaster; c2 2-month-periods, pre-disaster