5 stories matched (31-45 or 46-60 or Over 60) and Family and Male and girl and hospital
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2 distinct clusters within this collection: 1 - City: nairobi - 4 stories 2 - (Uncategorized) - 3 stories
q2: Sita Kimya is one of the most group which has improved the standard of living in kibera.Sita Kimya has made people coming from Kibera to know human right.
It has taught women on how to prevent virus when rape.It has made those children whose right was being miss used to take the people to the police due to this girls are supose to go their when rape or visit a near by hospital Q3:Right of human Q4:Sita Kimya Q6:KENYA Q7:NAIROBI Q8:KIBERA NAIROBI Q9:Less than 2 months ago Q10:Male Q12:Helped make it happen Q13:The right people Q15:No Q17:<<2011-09-14-KIBERA-S#061-P#01>> _hezekiah ogira@yahoo.com.
SITA KIMYA!
Jitokeze komesha ubakaji. Q18:Inspired Q19:Family and Friends,Knowledge Q23:91 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:It requires a continuous effort Q122:46-60 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:Sita Kimya
q2:I am Luka Chite. I am a parent of two children, one girl and one boy. My son had been a victim of jiggers sometime back which affected him so much such that he could not go to school. At the time I did not have any money to take him to hospital and was really worried what was going to happen to him. However, I was relieved when Aphia II, a certain NGO, came to my area and a helped my son together with other victims. They extracted all the jiggers, administered other treatment and gave him drugs to sustain him. I can attest that within a span of three weeks he was already healed and he is in school, hale and hearty. Q3:Changing my sons life Q4:Aphia II Q5:victim, girl, back, victims, money Q6:KENYA Q7:KAKAMEGA Q8:lurambi Q9:7-12 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:Yes Q17:[HORIZON]<<2011-06-30-KAKAMEGA-WEWASOFA GROUP-S#079-P#01>>_ Q18:Hopeful Q19:Food and shelter,Family and Friends,Physical Needs Q23:26 Q37:Good idea that succeeded Q38:Mixed Q39:Physical well-being Q40:Mixed Q122:31-45 Q132:0.30000000000000 Q133:34.76667000000000 Q134:Aphia Ii
q2:Adventure
I was in one of the military camps along Thika Mwingi road in-charge my plattone. One Sunday after church services I decided just to relax in my barracks which was called Somali barracks which was called Somali barracks. i heard aloud sound of noise which sounded like two medal hit @ other by about 4 hundred meters away our camp. I had to rash and see what was the noise for.
None I reached there i found a bus and min-bus colited on head coalition. Immediately head a woman call or scream an also a baby scream. I rushed into the mini-bus and rescued the baby girl first then I went back and pulled out a woman who has some cuts burning seriously and called for St. Johns Ambulance. I also was able to rescue the minibus tax collector and four other ladies who were rushed to Thika district hospital. The rest of the passengers were dead they diet on the sport. These was my first time to attend to an accident emergency case physically after my training for first Aid Aiders. Q3:Adventure and Rescue Q4:Shisia Wa Mwachi Q5:camps, sound, camp, able, case Q6:Kenya Q7:Thika Q8:N/A Q9:More than 2 years ago Q10:Male Q12:Saw it happen Q13:Mixed Q15:Yes Q17:<<2011-87-960-MATHARE-S#086-p#01>>_ Q18:Inspired Q19:Food and shelter,Family and Friends,Physical Needs Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Mixed Q122:31-45 Q132:-1.13333000000000 Q133:34.55000000000000 Q134:Shisia Wa Mwachi
q2:A 50 year old man infected with HIV/AIDS defiled a 5 year old girl in Kakamega South, his own daughter. His wife left the kids in the house to go and fetch water before the man enticed the poor girl with sweets but as he committed the heineous and threatened to kill the girl if she dared tell anyone. The girl cried and bled prefusely. When the mother arrived she was left speechless when she observed the horrific occurrence. the mother raised an alarm before villagers came to help. They took the girl to hospital and launched a man hunt of the offender who went into hiding. The full force of law. Q3:INSANE ACT OF DEFILEMENT/CHILD ABUSE Q4:'INDIVIDUAL' Q5:committed, year, left, hiv/aids, go Q6:KENYA Q7:KAKAMEGA SOUTH Q8:MUSINGU Q9:1-2 years ago Q10:Male Q12:Was affected by what happened Q13:Nobody Q15:Yes Q17:[HORIZON]<<2011-05-11-WEWASOF-HUMPHREY.KAKAMEGA-S#947-P#01>>_ Q18:Horrible Q19:Food and shelter,Family and Friends,Physical Needs Q37:Bad idea Q38:Specific solution Q39:Social relations Q40:Mixed Q122:31-45 Q132:0.20180000000000 Q133:34.74131000000000 Q134:Individual
q2: National studies confirm that between 40 and 50 of Kenyan women and girls experience different forms of violence either physical, sexual, verbal or emotional,from their childhood to adulthood.
These women do not have the ability to use their full potential and contribute to development and are also in danger of contracting Hiv/Aids. But through WE CAN E. Africa, all the people are given the message that violence against women is unacceptable through the change makers programs because they believe that people can change people.Change makers are people who agree to stop this behavior and agree to educate people to change their behavior to be in schools, offices, villages etc.
Victims are encouraged to talk freely and cases of rape are referred to Nairobi women hospital for treatments.This campaign has really helped to reduce cases of violence against women in Kibera Q3:DOMESTIC VIOLENCE IN KIBERA Q4:WE CAN EAST AFRICA Q6:KENYA Q7:NAIROBI Q8:Kibera Q9:1-2 years ago Q10:Male Q12:Helped make it happen Q13:The right people Q15:Yes Q17:<<2011-02-28-Kibera-Ogira- S#015-P01>>_ Q18:Inspired Q19:Food and shelter,Family and Friends,Freedom Q23:-1 Q37:Good idea that succeeded Q38:Specific problem Q39:Mixed Q40:Lasting change Q122:31-45 Q132:-1.32614600000000 Q133:36.77880700000000 Q134:We Can East Africa
 
Found 5 records. mysql icon_filters: group_id between 0 and 5000 and q10 = 'Male' and q19 like '%Family%' and q122 in ('31-45','46-60','Over 60') and (( q2 like '%girl%' and q2 like '%hospital%' ) or ( q3 like '%girl%' and q3 like '%hospital%' ) or ( q4 like '%girl%' and q4 like '%hospital%' ) or ( q5 like '%girl%' and q5 like '%hospital%' ) or ( q6 like '%girl%' and q6 like '%hospital%' ) or ( q7 like '%girl%' and q7 like '%hospital%' ) or ( q8 like '%girl%' and q8 like '%hospital%' ) or ( q11 like '%girl%' and q11 like '%hospital%' ) or ( q17 like '%girl%' and q17 like '%hospital%' ) or ( q26 like '%girl%' and q26 like '%hospital%' ) or ( q27 like '%girl%' and q27 like '%hospital%' ) or ( q28 like '%girl%' and q28 like '%hospital%' ) or ( q29 like '%girl%' and q29 like '%hospital%' ) or ( q35 like '%girl%' and q35 like '%hospital%' ) or ( q41 like '%girl%' and q41 like '%hospital%' ) or ( q42 like '%girl%' and q42 like '%hospital%' ) or ( q43 like '%girl%' and q43 like '%hospital%' ) or ( q46 like '%girl%' and q46 like '%hospital%' ) or ( q47 like '%girl%' and q47 like '%hospital%' ) or ( q60 like '%girl%' and q60 like '%hospital%' ) or ( q65 like '%girl%' and q65 like '%hospital%' ) or ( q70 like '%girl%' and q70 like '%hospital%' ) or ( q71 like '%girl%' and q71 like '%hospital%' ) or ( q72 like '%girl%' and q72 like '%hospital%' ) or ( q73 like '%girl%' and q73 like '%hospital%' ) or ( q74 like '%girl%' and q74 like '%hospital%' ) or ( q75 like '%girl%' and q75 like '%hospital%' ) or ( q76 like '%girl%' and q76 like '%hospital%' ) or ( q77 like '%girl%' and q77 like '%hospital%' ) or ( q80 like '%girl%' and q80 like '%hospital%' ) or ( q81 like '%girl%' and q81 like '%hospital%' ) or ( q86 like '%girl%' and q86 like '%hospital%' ) or ( q87 like '%girl%' and q87 like '%hospital%' ) or ( q88 like '%girl%' and q88 like '%hospital%' ) or ( q89 like '%girl%' and q89 like '%hospital%' ) or ( q98 like '%girl%' and q98 like '%hospital%' ) or ( q99 like '%girl%' and q99 like '%hospital%' ) or ( q110 like '%girl%' and q110 like '%hospital%' ) or ( q111 like '%girl%' and q111 like '%hospital%' ) or ( q116 like '%girl%' and q116 like '%hospital%' ) or ( q117 like '%girl%' and q117 like '%hospital%' ) or ( q123 like '%girl%' and q123 like '%hospital%' ) or ( q125 like '%girl%' and q125 like '%hospital%' ) or ( q132 like '%girl%' and q132 like '%hospital%' ) or ( q133 like '%girl%' and q133 like '%hospital%' ) or ( q134 like '%girl%' and q134 like '%hospital%' ) or ( q135 like '%girl%' and q135 like '%hospital%' ) or ( q136 like '%girl%' and q136 like '%hospital%' ) or ( q138 like '%girl%' and q138 like '%hospital%' ) or ( q141 like '%girl%' and q141 like '%hospital%' ) or ( q142 like '%girl%' and q142 like '%hospital%' ) or ( q151 like '%girl%' and q151 like '%hospital%' )) LIMIT 4000; filter_questions ['q10', 'q19', 'q122'] merge:ignore A[yQV414tLq5ki]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)