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Floods and Health in Gambella region, Ethiopia: An ... - lumes

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2.3.2 Data analysis<br />

The data was analyzed based on disaster management model suggested Yesil (2006). The disaster<br />

model deals with the ongo<strong>in</strong>g process by which all concerned bodies plan for <strong>and</strong> try to reduce the<br />

impact of disaster before flood disaster happen, take the necessary reactive response dur<strong>in</strong>g the flood<br />

event <strong>and</strong> take action after flood disaster happen to return affected communities to a more normal<br />

condition (Few et al , 2006). Actions taken at each phase play crucial role to reduce the health impact<br />

of flood<strong>in</strong>g (Few, 2006). (Figure 4)<br />

Flood<br />

Impact<br />

Risk<br />

Assessment<br />

Preparedness<br />

Response<br />

Policy<br />

Development<br />

Mitigation<br />

Recovery<br />

Figure 4: Disaster Management Model Modified from Yesil (2006)<br />

The orig<strong>in</strong>al model by Yesil (2006) lacks the feed back arrow from risk assessment to policy<br />

development. So I added this arrow to illustrate not only policy affect risk assessment, but also risk<br />

assessment affects or <strong>in</strong>fluence policy development. In general the model was criticized “for<br />

underplay<strong>in</strong>g the dynamic <strong>and</strong> often underm<strong>in</strong><strong>in</strong>g relationship between disasters <strong>and</strong> ongo<strong>in</strong>g cop<strong>in</strong>g<br />

capacity that may create spirals rather than cycles of vulnerability, however the model has helped <strong>in</strong><br />

communicat<strong>in</strong>g the importance of a more holistic approach to risk management that does not only<br />

depend on relief efforts <strong>and</strong> humanitarian response” (Few, 2007).<br />

18

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