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来源类型 | Analyses assessments and case studies |
规范类型 | 其他 |
The 72-hour Assessment Approach: A guide for vulnerability and spatial analysis in sudden-onset disasters, June 2018 | |
[unavailable] | |
发表日期 | 2018-06-28 |
出版年 | 2018 |
语种 | 英语 |
摘要 | This document, 72-hour assessment approach: a guide for vulnerability and spatial analysis in sudden-onset disasters, was developed based on the experience of the VAM Units in WFP Regional Bureaux for Asia and the Pacific and Latin America and the Caribbean, who applied this approach in rapid emergency assessments between 2015-2017. It has benefited from peer review mechanisms with technical specialists from various HQ divisions and knowledge partners. It is designed for professionals and organizations intending to carry out a rapid emergency assessment following a sudden-onset disaster, such as a cyclone, earthquake or flood. With a strong emphasis on data preparedness and other essential organizational readiness actions, the 72-hour assessment approach provides a good enough snapshot to fill the initial information vacuum in the first three days after the disaster, based on the most recent available information and pre-disaster secondary data. It offers a solid basis to make operational decisions even in extremely challenging and complex situations with information being validated and refined through continuous updates as new data becomes available, from, e.g., field visits, rapid assessments, remote sensing and mobile phone surveys. The fine-tuning and updates of initial estimates are made over time and regularly communicated through sequential reports. Partnerships with national and local government entities responsible for disaster management, UN agencies, I/NGOs, Red Cross Red Crescent national chapters, research institutions, and private sector organizations are critical throughout the 72-hour assessment process. This guide complements the Vulnerability Analysis Unit’s Emergency Food Security Assessment (EFSA) handbook and the Emergency Preparedness Branch’s Geospatial Support Unit support for geographic information systems in emergency preparedness and response services. |
主题 | Food security analysis (VAM) ; Afghanistan ; Algeria ; Angola ; Armenia ; Azerbaijan ; Bangladesh ; Benin ; Bhutan ; Bolivia (Plurinational State of) ; Brazil ; Burkina Faso ; Burundi ; Cambodia ; Cameroon ; Cabo Verde ; Central African Republic ; Chad ; China ; Colombia ; Comoros ; Congo ; Democratic Republic of the Congo ; Côte d' ; Ivoire ; Cuba ; Djibouti ; Dominican Republic ; Ecuador ; Egypt ; El Salvador ; Eritrea ; Eswatini ; Ethiopia ; Gambia ; Georgia ; Ghana ; Guatemala ; Guinea ; Guinea-Bissau ; Haiti ; Honduras ; India ; Indonesia ; Iran (Islamic Republic of) ; Iraq ; Japan ; Jordan ; Kazakhstan ; Kenya ; Democratic People' ; s Republic of Korea ; Kyrgyzstan ; Lao People' ; s Democratic Republic ; Lebanon ; Lesotho ; Liberia ; Libya ; Madagascar ; Malawi ; Mali ; Mauritania ; Republic of Moldova ; Morocco ; Mozambique ; Myanmar ; Namibia ; Nepal ; Nicaragua ; Niger ; Nigeria ; Pakistan ; Palestine ; Panama ; Peru ; Philippines ; Russian Federation ; Rwanda ; Sao Tome and Principe ; Senegal ; Sierra Leone ; Somalia ; South Africa ; South Sudan ; Sri Lanka ; Sudan ; Syrian Arab Republic ; Tajikistan ; United Republic of Tanzania ; Timor-Leste ; Togo ; Tunisia ; Turkey ; Uganda ; Ukraine ; Uzbekistan ; Viet Nam ; Yemen ; Zambia ; Zimbabwe |
区域 | Afghanistan, Algeria, Angola, Armenia, Azerbaijan, Bangladesh, Benin, Bhutan, Bolivia (Plurinational State of), Brazil, Burkina Faso, Burundi, Cambodia, Cameroon, Cabo Verde, Central African Republic, Chad, China, Colombia, Comoros, Congo, Democratic Republic of the Congo, Côte d' ; Ivoire, Cuba, Djibouti, Dominican Republic, Ecuador, Egypt, El Salvador, Eritrea, Eswatini, Ethiopia, Gambia, Georgia, Ghana, Guatemala, Guinea, Guinea-Bissau, Haiti, Honduras, India, Indonesia, Iran (Islamic Republic of), Iraq, Japan, Jordan, Kazakhstan, Kenya, Democratic People' ; s Republic of Korea, Kyrgyzstan, Lao People' ; s Democratic Republic, Lebanon, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Republic of Moldova, Morocco, Mozambique, Myanmar, Namibia, Nepal, Nicaragua, Niger, Nigeria, Pakistan, Palestine, Panama, Peru, Philippines, Russian Federation, Rwanda, Sao Tome and Principe, Senegal, Sierra Leone, Somalia, South Africa, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Tajikistan, United Republic of Tanzania, Timor-Leste, Togo, Tunisia, Turkey, Uganda, Ukraine, Uzbekistan, Viet Nam, Yemen, Zambia, Zimbabwe |
URL | https://www.wfp.org/publications/72-hour-assessment-approach-guide-vulnerability-spatial-analysis-sudden-onset-disasters-june-2018 |
来源智库 | World Food Programme (Italy) |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/520852 |
推荐引用方式 GB/T 7714 | [unavailable]. The 72-hour Assessment Approach: A guide for vulnerability and spatial analysis in sudden-onset disasters, June 2018. 2018. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
72h.png(241KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | ![]() 浏览 | ||
WFP-0000072749.pdf(3771KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
WFP-0000072750.pdf(3666KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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