9 stories matched Food and shelter and Male and Under 16 and 'clean water'
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
How good is this collection? (45/100) When making inferences, it is important to have many perspectives. Running
our story quality test will measure this using the diversity of story collectors, named organizations,
locations, and the balance in story point of view and tone to estimate the collection's suitability for meta-analysis.
Each component of the score is between 0 and 100, with 100 being the best and 0 being the worst.
Diverse sources: 7/100 (highest when collection contains hundreds of stories with miniminal overlap among the storytellers, named organizations, and locations)
Completeness: 94/100 (100% when every storytellers answer every question)
Diverse points of view: 0/100 (100% when there is a good balance of points of view. Personal experiences carry more weight over organization perspectrives.
Balance in story tone: 79/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a negative tone.
2 distinct clusters within this collection: 1 - Org: amref - 6 stories 2 - (Uncategorized) - 4 stories
q2:drainage is how liquid i.e water and sewage is lined or ananneled to leave source to the disposal.
Many people do not know how serious and dangerous poor drainage can damage since diseases transmitted some of which include diarrhea billhazia.
This diseases may cause death as it did to a young boy who consumed or used dirty water to drink.
Recently during rainy season, water mixed with sewage swept away utensils from the hoses hence more damage taking us back.
This disease can however be treated as was tought by a community nurse who taught us on how to to prevent eg by directing water torivers and other areas like farms a valuble Q3:Clean water the best security Q4:Mrs nancy Q5:sewage, diarrhea, dirty, clean, areas Q6:Kenya Q7:Kakamega Q8:Shitasiru Q9:7-12 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:(HORIZON)<<2011-09-08-BUSIA-S#004-P#01>>_ Q18:Inspired Q19:Food and shelter,Security,Knowledge Q37:Good idea that succeeded Q38:Specific problem Q39:Social relations Q40:Mixed Q122:Under 16 Q132:0.26675000000000 Q133:34.89439000000000 Q134:None
q2:Shabali tee water project is a group of community members who came together to drive off water from the main lake Victoria water pipe-(from chepsonoi to kakamega town).This group wanted to sensitize the community in order to have water individually homes/households.This would expose people to clean drinking water of course at a fee,some people took this positively while others declined because of a fee of only ksh/= 600 was attached.Most of those who took it seriously are already enjoying clean water,but those who declined are still fetching water from streams and wells.
This project is still on going and the community is still digging trenches in expectation of pipes for provision of water unfortunately the people who have started benefiting from pipes which are very limited are officials and the community members are still looking forward to wherever pipes could come from. Q3:Developing a community Q4:Lake victoria water project Q5:drinking water, clean drinking, wells, digging, come Q6:KENYA Q7:KAKAMEGA Q8:Birehermbe Q9:Less than 2 months ago Q10:Male Q12:Unknown Q13:The wrong people Q15:Yes Q17:[HORIZON]<<2011-I5-09-11-WEWAFASO-KAKAMEGA-S#003-P#001>>_ Q18:Inspired Q19:Food and shelter,Physical Needs,Knowledge Q23:50 Q37:Good idea that succeeded Q38:Specific solution Q39:Social relations Q40:Temporary change Q122:Under 16 Q132:0.26675000000000 Q133:34.89439000000000 Q134:(ICT)
q2:Once upon a time,all birds and other animals lived in the same community.They were very different but they usually worked together happily.They all decided to dig a well because they wanted to get clean water.The water available at that time was from muddy pool.
Elephant, hyena,rhino,giffaffe and rat went to the dig on Monday, Wednesday and Friday on the first Monday they told but come on the first Monday they told bat come and dig the well with us.
Bat was lazy and selfish she did not want to join in the work her neighbors were doing.I wont come Bat said i am not like you can't you see you walk on four legs while i have wings that i used that to flew away. Q3:A good neighbour Q4:Village Q5:water available, water water, work, time, come Q6:KENYA Q7:NAIROBI Q8:KIBERA Q9:Less than 2 months ago Q10:Male Q12:Heard about it happening Q13:Mixed Q15:Yes Q17:<<2011-10-1-KARIOBANGI-S#176-P#01>>_ Q18:Happy Q19:Food and shelter,Physical Needs,Knowledge Q23:50 Q37:Good idea that succeeded Q38:Specific solution Q39:Mixed Q40:It requires a continuous effort Q122:Under 16 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:Village
q2:Many people around Nairobi province were drinking the dirty water from river mbagathi.Many people were dirtyfying the river by releasing waste materials .Thanks to kimungu self help they have cleaned the river and now we have clean water Q3:Improving sanitation Q4:Kimungu self help Q6:kenya Q7:nairobi Q8:kibera Q9:1-2 years ago Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:<<2011-10-3-KIBERA-S#138-P#01>>_ Q18:Inspired Q19:Food and shelter,Knowledge,Fun Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Mixed Q122:Under 16 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:Kimungu Self Help
q2:The Organization has helped many peple in kibera. It has built tanks in schools. But not only in schools also in other places. this has made people to be ver happy. A lot of water bone diseases has reduced in our area. the reason is that the organization has brought clean water.
Hospitals are very near to our place. It is easy to reach the hospital when sick. this Organization should continue with its help. Everywhere noe there is water. people stay good life because of the organization. If i were the president of kenya I would give some prise to the organization Q3:Tanks,Toilets and hospitals Q4:AMREF Q6:Kenya Q7:Nairobi Q8:Kibera Q9:Less than 2 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:<<2011-05-31-OGIRA KIBERA-S#211-P#01-P#03>>_ Q18:Important Q19:Food and shelter,Family and Friends,Physical Needs Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Mixed Q122:Under 16 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:Amref
q2:
I am Joash Otieno a student of Bondeni primary schools.I very proud to be a student of Bondeni primary school because my school is no longer the one I knew long time .It is now a very changed environment .There are a lot of changes that have been done to improve our school .For now we can get access to clean water for drinking, enough toilets and very good classrooms that is condusive for learning.The government through our leaders has done much to improve our schools.
Q3:My school Q4:Government Q5:schools, toilets, clean water, government school, classrooms Q6:Kenya Q7:Kakamega Q8:AMALEMBA Q9:1-2 years ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:[HORIZON] <<2011-06-03-KAKAMEGA-WEWASOF GROUP-S#168-P#01>>_ Q18:Inspired Q19:Food and shelter,Family and Friends,Physical Needs Q37:Good idea that succeeded Q38:Specific problem Q39:Mixed Q40:Mixed Q122:Under 16 Q132:0.26675000000000 Q133:34.89439000000000 Q134:Government
q2: Waterborn disease was a very dangerous disease in Kibera. Waterborne was the disease that killed more people. This disease is caused by contaminated water. People from Kibera have been drinking dirty water.
AMREF is an organization that brought tanks for storing clean water. In Kibera people are thanking AMREF because of their clean heart. In Kibera people are thanking AMREF because of their clean heart. Q3:WATER Q4:AMREF Q6:KENYA Q7:NAIROBI Q8:Kibera laini saba Q9:More than 2 years ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:[HORIZON]<<2011-05-16-OGIRA KIBERA-S#250-P#01-P#03>>_ Q18:Important Q19:Food and shelter,Family and Friends,Physical Needs Q37:Good idea that succeeded Q38:Mixed Q39:Physical well-being Q40:Mixed Q122:Under 16
q2:CHEDRA is an organisation which is aimed at helping the helpless people in the community. The organisation usually helps in payment of the fees of pupils in different school. It also constructs water tanks for people in the community in order to ensure clean water supply all over. Q3:ENSURING CLEAN WATER SUPPLY Q4:CHEDRA Q6:UGANDA Q7:MASAKA Q8:KASUBI Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2011-07-19-CHEDRA-S#181-P#01>>_ Q18:Important Q19:Food and shelter,Security,Family and Friends Q37:Good idea that succeeded Q38:Specific problem Q39:Social relations Q40:Mixed Q122:Under 16 Q132:-0.50000000000000 Q133:31.75000000000000 Q134:Chedra
q2:Water born disease was a very dangerous disease in Kibera. Waterborne was the disease which killed more people. This disease is caused by contaminated water. People from Kibera have been drinking dirty water.
AMREF is an organisation which brought tanks for storing clean water. In Kibera people are thanking AMREF because of their clean heart. Q3:WATER Q4:AMREF Q6:KENYA Q7:NAIROBI Q8:KIBERA LAINI SABA Q9:More than 2 years ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:<<2011-05-31-OGIRA-KIBERA-S#250-P#01-P#003>>_ Q18:Important Q19:Food and shelter,Security,Family and Friends Q37:Good idea that succeeded Q38:Mixed Q39:Physical well-being Q40:Mixed Q122:Under 16 Q132:-1.13333000000000 Q133:34.55000000000000 Q134:Amref
 
"'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" "'clean water' changed to \\'clean water\\'" Found 9 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Food and shelter%' and q122 = 'Under 16' and (( q2 like '%clean water%' ) or ( q3 like '%clean water%' ) or ( q4 like '%clean water%' ) or ( q5 like '%clean water%' ) or ( q6 like '%clean water%' ) or ( q7 like '%clean water%' ) or ( q8 like '%clean water%' ) or ( q11 like '%clean water%' ) or ( q17 like '%clean water%' ) or ( q26 like '%clean water%' ) or ( q27 like '%clean water%' ) or ( q28 like '%clean water%' ) or ( q29 like '%clean water%' ) or ( q35 like '%clean water%' ) or ( q41 like '%clean water%' ) or ( q42 like '%clean water%' ) or ( q43 like '%clean water%' ) or ( q46 like '%clean water%' ) or ( q47 like '%clean water%' ) or ( q60 like '%clean water%' ) or ( q65 like '%clean water%' ) or ( q70 like '%clean water%' ) or ( q71 like '%clean water%' ) or ( q72 like '%clean water%' ) or ( q73 like '%clean water%' ) or ( q74 like '%clean water%' ) or ( q75 like '%clean water%' ) or ( q76 like '%clean water%' ) or ( q77 like '%clean water%' ) or ( q80 like '%clean water%' ) or ( q81 like '%clean water%' ) or ( q86 like '%clean water%' ) or ( q87 like '%clean water%' ) or ( q88 like '%clean water%' ) or ( q89 like '%clean water%' ) or ( q98 like '%clean water%' ) or ( q99 like '%clean water%' ) or ( q110 like '%clean water%' ) or ( q111 like '%clean water%' ) or ( q116 like '%clean water%' ) or ( q117 like '%clean water%' ) or ( q123 like '%clean water%' ) or ( q125 like '%clean water%' ) or ( q132 like '%clean water%' ) or ( q133 like '%clean water%' ) or ( q134 like '%clean water%' ) or ( q135 like '%clean water%' ) or ( q136 like '%clean water%' ) or ( q138 like '%clean water%' ) or ( q141 like '%clean water%' ) or ( q142 like '%clean water%' ) or ( q151 like '%clean water%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[BBYnDGTsb1Xf]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)