Relief and Recovery in Myanmar following Cyclone Nargis A report on the ASEAN Myanmar Government Uni

1
Relief and Recovery in Myanmar following Cyclone
NargisA report on the ASEAN - Myanmar
Government -United Nationsjoint village
assessment to be released July 21.

• Post-Nargis Joint Assessment (PoNJA)
• Health Findings

2

• To assess the most seriously affected Cyclone
  Nargis hit areas and identify vulnerabilities and
  capacities in a joint, credible, and
  comprehensive manner
• (PoNJA) is the Village Tract Assessment and the
  Damage and Loss Assessment (DaLA)
• The health report will combine both VTA and DaLA

3
VTA Population Sample

• 25 townships
• 291 villages
• 2874 households
• 1148 key informant interviews
• 1486 focus groups

• 25 most affected township
• 6,000 villages and wards
• Aim to visit 2 villages each in 128 quadrants
• Interview households, key informants, and record
  observations

4
(No Transcript)
5
Survey Timeline
6
(No Transcript)
7
Logistic

• 24 Helicopter flights
• 214 Car trips
• 158 Boat trips
• 52 Motorcycle trips
• 40 CDMA phones
• 35 GPS
• 32 Computers

TCG PONJA - VTA
8
Results of the VTA SurveyinHealth
9
People Want Better Access to Health Care

• Perceived access was lowest at 14 in remote
  areas and highest near Yangon at 90

10
Most Income Used for Food and Health

• 28 have no food stocks, 43 have food enough for
  less than a week

11
Decreased Sanitation Increases Health Risk
12
(No Transcript)
13
(No Transcript)
14
Other Major Health Threats

• Need for clean water 74 are using risky sources
  (ponds, rivers, open dig wells) as ponds became
  salty (40), households using rainwater increased
  from 17 to 30
• Low shelter quality 60 of houses were severely
  damaged many have been rebuilt but in a
  make-shift way, with bamboo rather than wood
• Low hygiene Almost 70 do not have soap
• Decreased income from decline in farming,
  increase in casual work

15
(No Transcript)
16
Common Health Problems Predominate

• 65 reported a health problem in the last 15 days

17
(No Transcript)
18
Distance to Nearest Health Facility
19
Nearest Health Facility

• Basic facilities are the closest
• Private clinics can reach more people than mobile
  clinics

20
45 of Facilities Need Rebuilding
21
(No Transcript)
22
Preventive Services Declined
23
Medicines Available are Insufficient
24
Service Providers Increase
25
(No Transcript)
26
Chance of Dying in 7 Weeks After Cyclone

• Adults at lower risk
• Children, elderly, and women at elevated risk

27
Chance of Dying

• 7 of households reported at least one death from
  the cyclone
• 2.2 deaths occurred on average among households
  that reported deaths
• Health workers reported deaths in 36 of surveyed
  villages village leaders in 31
• 3 of each 100 adult men died, and 6 of each 100
  adult women died
• 2.7 of all household members reported to die in
  cyclone, and .3 in weeks after

28
Need for Psychological Support is Great
29
Limitations to the Survey

• Few questions for any one topic with 11 clusters
  taking part
• Survey developed quickly, virtually overnight
• It is a household sample, so households washed
  away by the cyclone do not get adequate
  representation

30
Strengths of the Survey

• Unprecedented open access no limitations on
  where to go
• Coverage of every quadrant an inclusive sample
• Excellent interviewers, who provided insight into
  the meaning of people's responses
• Opportunity to compare responses from households,
  village leaders, and interviewer observations

31
Conclusions

• Better access to health care and medicines is
  needed
• There are new health threats, and new
  opportunities to improve health now
• Private providers are an important part of the
  system of care
• NGOs have had only a limited presence to date
• Focus needed on common illnesses and mental health

32
Next Steps

• Calculation of confidence intervals for key
  variables
• Analysis by sub-groups of the population,
  especially comparing areas suffering more and
  less destruction
• Specification of gaps between needs and resources
• Use of PoNJA as a baseline for programming and
  monitoring recovery