# data[].attributes.body
Sherry Bai
1.Red cross
2.Hongkong public security service team
3.Unicef

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1.Hong Kong St John 2.World vision
3.Red cross 4.Orbis 5.Red

Crescent Society

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1.White Helmets Commission2.Azerbaijan International Development Agency3.Red Cross4.World Vision5.Sowers Action6.Shikshya Founcaltion Nepal

# data[].attributes.body
1.World Vision Hong Kong
2.Hong Kong St John
3Hong Kong Red Cross
4.Medecins sans frontieres
5.unicef

# data[].attributes.body
1.World Vision Hong Kong
2.Hong Kong St John
3Hong Kong Red Cross
4.Medecins sans frontieres
5.unicef

# data[].attributes.body
1.

# data[].attributes.body
1.World Vision Hong Kong
2.Hong Kong St John
3Hong Kong Red Cross
4.Medecins sans frontieres
5.unicef

# data[].attributes.body
1.World Vision Hong Kong2.Hong Kong Red Cross3.Hong Kong St John Ambulance4.Ciril Aid Service5.Government Flying Service

# data[].attributes.body
Hong  Kong red cross
World Vision  Hong  Kong
World Wide  Fund for Nature
Help Me See
MEDECINA SAIVS FRONTIERES

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1.World  Vision Hong Kong 2.Hong Kong Red Cross 3.World Health Organization 4.World Trade Organization 5.lnternational Criminal Police Organization      

# data[].attributes.subject
1.World  Vision Hong Kong 2.Hong Kong Red Cross 3.World Health Organization 4.World Trade Organization 5.lnternational Criminal Police Organization      

# data[].attributes.body
6B20

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1.World Vision Hong
2.Hong Kong Red Cross
3.Salvation Army
4.Hong Kong ST.John Anbulance
5.Save the children

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World Vision Hong Kong,Civil Aid Service ,
Hong Kong St John Ambulance,Hong Kong Red Cross,Government Flying Service

# data[].attributes.body
1.World Vision Hong Kong 2.Hong Kong Red Cross 3.Sowers Actlon 4.Unicef Hong Kong 5.Oxfam Hong Kong

# data[].attributes.headline
Anthony 6B11, World Vision Hong Kong,Hong Kong Red Cross, Hong Kong St John Ambulance,

# data[].attributes.subject
Anthony 6B11, World Vision Hong Kong,Hong Kong Red Cross, Hong Kong St John Ambulance,

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Civil Aid Service ,Government Flying Service

# data[].attributes.body
1.World Vision Hong Kong
2.Hong Kong Red Cross
3.Save the Chlidren
4.Hong Kong S.T. John Ambulance
5.OXFAM Hong Kong
Jenny 6B(8)

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1.World Vision Hong Kong
2.Hong Kong Rad Cross
3.Wild Rescue Organization
4.Green Rescue Team
5.Red Sword Rescue  Team
Yammy group

# data[].attributes.body
1.World Vision Hong Kong
2.Hong Kong Red Cross
3.Save the Children
4.Medecins sans frontieres
5.Hong Kong Auxiliary Medical Service
Heidi 6B 2

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1.World Vision Hong Kong ,2.Hong Kong Red Cross ,3.Caritas Hong Kong ,4.HONG KONG SHENG HUI WELFARE COUNCIL LIMITECL ,5.Po Leung Kuk

# data[].attributes.subject
1.World Vision Hong Kong ,2.Hong Kong Red Cross ,3.Caritas Hong Kong ,4.HONG KONG SHENG HUI WELFARE COUNCIL LIMITECL ,5.Po Leung Kuk

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Jimmy

# data[].attributes.body
3.Oxfam Hong Kong
4. St. John's ambulance service
By Tracy Lau

# data[].attributes.body
2.Would Viston Hong Kong
3.ST John
4.Auxiliary Medical Sevice
5.Civli Aid Service
Tsui Cheong Chun

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1.Save the Childven
2.Worid vision
3.Hong Kong Red Cross
4.Unicef
5.Ketchum
6.
(william Cai Wai Nam)