# data[].attributes.body
1. The community profile is not consistent to our CDD profile
2. The male and female headed has no clear identification
3. The Data not correctly segregated

# data[].attributes.body
General Observation :incomplete data , mismatched data to RDANA tool

# data[].attributes.body
1. For location -no land area measurement
2. social condition- no  number of male and female data
3. incomplete data for demographic-no ip and pwd, no specific num of male and female and wrong total population
4. in health and nutrition-no data for returnees
5. inconsistent and incomplete data in almost all items.

# data[].attributes.body
1. 1 day per barangay per CF

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Community Profile because the data are available in Barangay and in Municipality

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1. it takes less than an hour but the template was not completely filled up due to incomplete data.

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health and nutrition- no specific sex indicated by both infant and child death record

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health and nutrition- no specific sex indicated by both infant and child death record

# data[].attributes.body
shelter-  informal settler are not included in the community profile

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The RDANA specially demographic data because there is no updated data base in our available template

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We had different views or answer to any items. Through consensus decision

# data[].attributes.body
1. none bec. data provided is incomplete

# data[].attributes.body
- De

# data[].attributes.body
- Demographic data- lacking data/inconsistent data/
-initial assessment of effects/impacts- no specific data
-

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1. Almost all items are difficult to fill up due to incomplete data.

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Batuan: yes we have different views/answers to all items due to incomplete/vague/erroneous data provided.

# data[].attributes.subject
Batuan: yes we have different views/answers to all items due to incomplete/vague/erroneous data provided.

# data[].attributes.body
1. Isolation facility due to the huge number of covid19 positive cases with amenities, medicines and vitamins
2. Provision of Sanitary Toilets since there are 59% who don't have toilets.
3. Provision of Potable water source since there are 44% of HH who don't have water source.

# data[].attributes.body
-it takes too long kay walay data

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-none

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- Yes, through consensus (estimate)

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1. We ranked it based on the number/ percentage of affected population/HH.
2.

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-Isolation Facility
-Covid 19 PPEs and supplies
-Sanitary Toilets

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Base on RDANA
1. Isolation Facility - 300 person with justification from MHO
2. Low Enrollment Rate - 78%
3. Water and Sanitation - 97%

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By Criteria Setting base on the number of affected population
1. base on recommendation of MIAC
2. base on declaration  of calamity
3. base on COVID affected increase rate

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-Based on the number of affected persons

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-Construction of Isolation Facility
-Provision of Toilet materials
-Expansion of Potable Water system

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By using number of affected population

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-need ug taas na panahon para ma comply ang data

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WALAY EASIEST GYUD

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Almost all datas are difficult. Maka dry

# data[].attributes.body
-teamwork

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1. Isolation Center
2. PPEs and medical supplies
3. Vaccination

# data[].attributes.body
through percentage of affected areas