Filter
2353
Text search:
disaster
risk
Featured
235
699
Language
2196
72
55
45
41
34
23
18
13
9
6
4
3
3
3
3
3
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Document type
1278
398
220
177
132
50
40
33
17
4
3
1
Countries / Regions
133
123
59
59
54
54
48
46
45
43
36
35
31
29
28
27
25
25
25
25
23
21
20
19
19
18
18
16
14
14
13
12
12
12
12
12
11
11
11
10
10
9
9
9
9
9
8
8
7
6
6
6
6
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Authors & Publishers
207
79
67
50
49
44
41
38
38
35
31
22
22
22
20
19
18
18
17
17
16
13
13
12
12
12
11
11
11
11
10
10
10
10
10
10
9
9
8
8
8
8
8
7
7
7
7
7
7
7
6
6
6
6
6
6
6
6
6
6
6
5
5
5
5
5
5
5
5
5
5
5
5
5
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
Publication Years
692
1421
226
12
2
Category
808
398
104
86
61
49
4
1
Toolboxes
198
187
184
182
130
120
109
90
70
69
55
38
36
29
26
25
22
21
16
11
11
10
8
7
4
4
2
Pakistan is on the verge of a public health disaster as a result of the massive monsoon rainfalls and unprecedented levels of flooding that are affecting 33 million people across the country.
The risk
...
of disease outbreaks is extremely high and malnutrition rates are rising.
WHO requires US$ 81.5 million to respond to this health crisis in flood-affected Pakistan, to ensure a coordinated delivery of essential health care services, efficient management of severe acute malnutrition, and stronger outbreak detection and control.
more
Policy Guidance Brief 2
• The potential health risks from climate change include: increase of waterborne and vector-borne diseases, heat-related illnesses, injuries and deaths, food insecurity and increased malnutrition. The poor, women, children and the elderly, as well as communities living ... in remote high-risk areas are most vulnerable.
• The expected results to achieve this outcome are: (i) climate risk management system is well-established, robust and nationally integrated to respond efectively to increased intensity and impact of risks and hazards on people’s health and wellbeing; (ii) improved social protection, gender consideration and risk finance capacity to prepare for and recover from potential loss and damage resulting from climate change; (iii) Myanmar’s health system is improved and can deal with climate-induced health hazards and support climate-vulnerable communities to respond effectively to disaster and health hazards from climate change. more
• The potential health risks from climate change include: increase of waterborne and vector-borne diseases, heat-related illnesses, injuries and deaths, food insecurity and increased malnutrition. The poor, women, children and the elderly, as well as communities living ... in remote high-risk areas are most vulnerable.
• The expected results to achieve this outcome are: (i) climate risk management system is well-established, robust and nationally integrated to respond efectively to increased intensity and impact of risks and hazards on people’s health and wellbeing; (ii) improved social protection, gender consideration and risk finance capacity to prepare for and recover from potential loss and damage resulting from climate change; (iii) Myanmar’s health system is improved and can deal with climate-induced health hazards and support climate-vulnerable communities to respond effectively to disaster and health hazards from climate change. more
The Federal Ministry of Health of Ethiopia (FMOH), the National Disaster Risk Management Commission (NDRMC) and other government actors together with UN agencies (UNICEF, UNHCR, WHO and WFP) and nut
...
rition development partners call for all parties involved in the response to emergencies in Ethiopia to provide appropriate, prompt support for the feeding and care of infants, young children and their mothers. This is a critical for supporting child survival, growth and development and preventing malnutrition, illness and death. This joint statement has been issued to help secure immediate, coordinated, multi- sectoral action on infant and young child feeding (IYCF) in emergencies.
more
The text explains what early warning systems are and why they are important for climate action and disaster risk reduction. It describes how these systems collect and analyze data to detect hazards
...
such as storms, floods, heatwaves, or droughts and provide timely alerts to governments and communities. This allows people to prepare, evacuate, or take protective measures before disasters occur. The article also highlights that effective early warning systems can save lives, reduce economic losses, and strengthen resilience to climate change, especially in vulnerable regions.
more
Situation analysis
Description of the disaster
An Ebola epidemic that started in March 2014 in Guinea has relentlessly continued to claim lives and to spread to other countries in West Africa. The current Ebola outbreak is the largest in hist
...
ory and the first to affect multiple countries simultaneously. There have been over 24 000 reported confirmed, probable, and suspected cases of EVD in Guinea, Liberia and Sierra Leone (table 1), with almost 10 000 reported deaths (outcomes for many cases are unknown). A total of 58 new confirmed cases were reported in Guinea, 0 in Liberia, and 58 in Sierra Leone in the 7 days to 8 March (4 days to 5 March for Liberia). Many experts believe that the official numbers substantially understate the size of the outbreak because of families' widespread reluctance to report cases. Because of the fluidity of movement of people between West Africa and several countries in the East African countries, especially Kenya and Ethiopia (who in turn have extensive interaction with other countries in the region in terms of human movement), the risk of an outbreak of Ebola in East Africa is as eminent as in any of the countries bordering the affected countries. The IFRC regional office intends to support National Societies to raise their Ebola preparedness and response capacity through training, technical support in planning and implementation of Ebola related activities, and coordination both within and outside the movement.
more
Profile of health crisis response within district, city or area in Indonesia with high risk of natural disaster : District of Bombana, Indonesia
Profile of health crisis response of area, city or district in indonesia with high risk of natural disaster : Bengkulu City, Indonesia
Profile of health crisis response of area, district or city within Indonesia with high risk of natural disaster : district of South Halmahera, Indonesia
Profile of health crisis response of area, city or district within Indonesia with high risk of natural disaster : District of Polewali Mandar, Indonesia
Profile of health crisis response of area, city and district in Indonesia with high risk of natural disaster : District of East Kutai, Indonesia
Profile of health crisis response of city, area or district in Indonesia with high risk of natural disaster : District of Ende, Indonesia
Profile of health crisis response of district, area or cities in Indonesia with high risk of natural disaster : District of Buton, Indonesia
Profile of health crisis response of district, area or cities in Indonesia with high risk of natural disaster : Kutai City, Indonesia
Profile of health crisis response of cities, area or districts in Indonesia with high risk of natural disaster : District of Kolaka, Indonesia
No publication year indicated
In the context of the floods in August 2015 in Myanmar, the Disaster Risk Reduction Working Group (DRR WG) was requested to provide clear recommendations to the D ... MH (Department of Hydrology and Meteorology)to strengthen preparedness activities, in particular for the next Monsoon season. UNDP as the lead of the DRR WG’s Policy Technical Task force carried out a desk review on EW (Early Warning) from all the DRR WG’s members at national and community levels. The document synthesizes the received information related to baseline surveys, lessons learned from the 2015’s floods, studies, project documents and initial recommendations on EW. Those serve as a base to this analysis and its overall recommendations. more
In the context of the floods in August 2015 in Myanmar, the Disaster Risk Reduction Working Group (DRR WG) was requested to provide clear recommendations to the D ... MH (Department of Hydrology and Meteorology)to strengthen preparedness activities, in particular for the next Monsoon season. UNDP as the lead of the DRR WG’s Policy Technical Task force carried out a desk review on EW (Early Warning) from all the DRR WG’s members at national and community levels. The document synthesizes the received information related to baseline surveys, lessons learned from the 2015’s floods, studies, project documents and initial recommendations on EW. Those serve as a base to this analysis and its overall recommendations. more
This Practitioner Note is part of a four-part series providing MENA governments and practitioners in the fields of both social protection and disaster risk management (DRM) with general guidelines f
...
or future shock response informed by lessons learned from the COVID pandemic. The first three notes of the series include recommendations on inclusive design and implementation related to the following topics: (i) targeting, identification and registration mechanisms; (ii) transfer values and payment modalities; and (iii) communication, case management and grievance redress mechanisms
more
Profile of health crisis response of district, city or area in Indonesia with high risk of natural disaster : District of Ketapang
Planning and Implementation Training. Myanmar
This training module on resilient development planning in Myanmar consists of a 2.5 hours session, at the end of which, the participants will:
a) Have a common understanding on development and disaste ... r linkages.
b) Be able to identify the various factors which contribute towards disaster risk including climate change in Myanmar.
c) Be able to identify measures for risk resilient development process in Myanmar.
The three main learning units include:
1. Disaster and development linkages.
2. Components and drivers of disaster risk including climate change.
3. Mainstreaming disaster and climate risk reduction into development. more
This training module on resilient development planning in Myanmar consists of a 2.5 hours session, at the end of which, the participants will:
a) Have a common understanding on development and disaste ... r linkages.
b) Be able to identify the various factors which contribute towards disaster risk including climate change in Myanmar.
c) Be able to identify measures for risk resilient development process in Myanmar.
The three main learning units include:
1. Disaster and development linkages.
2. Components and drivers of disaster risk including climate change.
3. Mainstreaming disaster and climate risk reduction into development. more
STUDY REPORT | This study of the impact of the Nepal earthquake of 25 April, 2015, aims to understand the impact factors leading to the exclusion of older people and persons with disabilities from humanitarian action, barriers to their inclusion, and the extent to which their skills and knowledge we
...
re utilised to promote inclusive humanitarian action and, using this understanding, to formulate a set of recommendations for promoting inclusion. These recommendations will be used to sensitise the broader humanitarian community to the need for inclusive disaster risk management practices in future emergency responses which pay attention to factors such as gender, age, disability and ethnicity, and build upon the capacities of older people and persons with disabilities.
more
The plan aims to practice the preparedness measures and response functions which need to be coordinated among relevant departments and organizations to reduce the risk of earthquakes. The plan has two main parts: preparedness and response. The first
...
part includes the preparedness measures which can be practically implemented in collaboration with relevant government departments and communities. The latter part includes the response functions by the National Disaster Management Committee and it’s Work Committees if a damaging earthquake were to occur.
more
