9 stories matched Fun and aid and hiv and living and health
Your search did not match enough stories to do a complete analysis. Only basic information is showing.
How good is this collection? (36/100) 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: 6/100 (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: 45/100 (100% if collection has a balance of positive and negative perspectives)
Your collection has a very positive tone.
q2:This area is called Wakula South located within Mfangano Island. It is among those areas within Homa- Bay county known to be having a high rate of HIV/AIDS infection.Most of the people living in this area are positive, reason is because of the high rate of population increase which takes place day by day. Most of the people migrating in this place are not being tested for us to know their status. After coming here, they engage into unprotected sexual intercourse with others which makes them to acquire the disease if not affected. Also, poor access to condoms have contributed to this, people participate to the unprotected sex hence endangering their lives. Most of the people here does not get proper education on health matters. This has contributed to poor use of the antiretroviral drugs and also poor hygiene. Q1:Yes Q3:HIV/AIDS INFECTION Q4:INDIVIDUAL Q6:KENYA Q7:C3A2: MBITA Q8:C3A2: WAKULA SOUTH Q9:Less than 1 month ago Q10:Male Q11:37 Q12:Was affected by what happened Q13:Nobody Q15:No Q18:Frustrated Q19:Knowledge, Self-esteem, Fun Q20:Government Q24:The whole community Q25:Individual behavior change Q27:HIV/AIDS AWARENESS Q32:Friend, neighbor, or community member
q2:Kibera women community network centre is helping less fortunate children especialy HIV/AIDS, alcohol and drugs abuse. The community programme for HIV and drugs aims at an increase community capacity that can manage HIV/AIDS prevalence and that improves the social economic and health status of those infected and affected.
This is done through awareness and advocacy community based care and support for people living with HIV/AIDS as well as orphaned and vulnerable children thus change and ensure integral human development Q3:Hope to HIV/AIDS Q4:Kibera women community network centre Q6:Kenya Q7:Nairobi Q8:Kibera- Makina Q9:2-6 months ago Q10:Female Q12:Heard about it happening Q13:The right people Q15:Yes Q17:<<2012-10-12 -KIBERA/SIAYA-S#77-P#01>> _ Q18:Hopeful Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Mixed Q122:31-45 Q132:None Q133:None Q134:communities
q2:Distribution of Anti Retrovial Drugs down to the last people in villages is an important tasks is an important tasks done y people living with HIV/AIDS/ Network this has to be given credit because there are various people who are unable to acess divine or health unit to get such drugs Q3:Distributing ARV's to the local patients Q4:PHAN Q6:Uganda Q7:Abim Q8:Obangangeo West Q9:Less than 2 months ago Q10:Male Q12:Heard about it happening Q13:The right people Q15:Yes Q17:
<<2012-10-16 -MBAWASO -S#135-P#01>>_ Q18:Happy Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:None
q2:Due to the entertainments carried out in our community by an organisation called TASO, people now can protect themselves against HIV/AIDS using the protective methods learnt from films and other entertainments.
Hence stimulating good healthy standards of living. Q3:Decrease on the spread of HIV/AIDS Q4:TASO Q6:Uganda Q7:Gulu Q8:Paralo Q9:Less than 2 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:<<2012-10-16 MBAWASO-S#267-P#01>>_ Q18:Happy Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:Lasting change Q122:22-30 Q132:None Q133:None Q134:Taso
q2:People with HIV/AIDS have been councilled by ab organsation called TASO.
This stimulated their healthy standards of living and now they have got knowledge of how they can protect themselves against some diseases Q3:Councilling people with HIV/AIDS Q4:TASO Q6:Uganda Q7:Gulu Q8:Tegot Q9:Less than 2 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:<<2012-10-16 MBAWASO-S#257-P#01>>_ Q18:Happy Q19:Family and Friends,Respect,Fun Q23:50 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:Taso
q2: Thanks to TAPWAK. It is the association of people living with Aids in kenya. to address their health problems share their personal experience and give each other support and encouragement. Through life link welfare foundation in Ngango It conducts regular educational outreachs in schools, community groups, workshop, work places and public institution Life link has touched many positive Hiv in thecommunity by consellling and giving the infected food through TAPWAK. It also run freee medical treatment drugs for opportunistic infection. Life link lives are a Dairly Testimony of living Positive Q3:Give Life to positive HIV Q4:TAPWAK Q6:Kenya Q7:Nairobi Q8:Ngando Q9:Unknown Q10:Decline to identify Q12:Saw it happen Q13:The right people Q15:Unknown Q17:[Horizon questions 12,14 and 19]<<2012-07-03-DAGORETTI CORNER-S#332-P#01>>_ Q18:Inspired Q19:Knowledge,Creativity,Fun Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:None
q2: Thanks to TAPWAK. It is the association of people living with Aids in kenya. to address their health problems share their personal experience and give each other support and encouragement. Through life link welfare foundation in Ngango It conducts regular educational outreachs in schools, community groups, workshop, work places and public institution Life link has touched many positive Hiv in thecommunity by consellling and giving the infected food through TAPWAK. It also run freee medical treatment drugs for opportunistic infection. Life link lives are a Dairly Testimony of living Positive Q3:Give Life to positive HIV Q4:TAPWAK Q6:Kenya Q7:Nairobi Q8:Ngando Q9:Unknown Q10:Decline to identify Q12:Saw it happen Q13:The right people Q15:Unknown Q17:[Horizon questions 12,14 and 19]<<2012-07-03-DAGORETTI CORNER-S#104-P#01>>_ Q18:Inspired Q19:Knowledge,Creativity,Fun Q37:Good idea that succeeded Q38:Mixed Q39:Social relations Q40:Mixed Q122:22-30 Q132:None Q133:None Q134:None
q2:Through the provision of eggs and other diet food to people with HIV/AIDS by an organisation called TASO. This stumulated the healthy standards of living of people because the majority lacked money to buy those diet food Q3:Improving people's diet Q4:TASO Q6:Uganda Q7:Gulu Q8:Paidwe Q9:2-6 months ago Q10:Male Q12:Saw it happen Q13:The right people Q15:No Q17:<<2012-12-21-UGANDA-S#1172-P#01>_ Q18:Happy Q19:Knowledge,Self-esteem,Fun Q23:50 Q37:Good idea that succeeded Q38:Broad need Q39:Social relations Q40:It requires a continuous effort Q122:22-30 Q132:None Q133:None Q134:Taso
q2:I am Hannah,Bed ridden, on the point of Death.Rosemary is a community health worker in my village.
My husband had died of HIV-AIDS three years ago.My family members had abandoned me and demanding that I live the home .Rosemary came,helped me ,went to the hospital, spoke to my family about my rights to ownership and even reported the matter to the area chief. I realized stigma and discrimination.Since then I am living happily and making use of resources am assigned to use.I have hope of living longer like other women who are positive. Q3:Positive living Q4:VIPEP Q5:home, am, live, use, rights Q6:KENYA Q7:KAKAMEGA Q8:MUNICIPALITY Q9:2-6 months ago Q10:Female Q12:Was affected by what happened Q13:The right people Q15:Yes Q17:<<2011-06-30-KAKAMEGA-WEWASOFA GROUP-S#034-P#01>>_ Q18:Happy Q19:Knowledge,Freedom,Fun Q23:30 Q37:Good idea that succeeded Q38:Mixed Q39:Mixed Q40:Mixed Q122:31-45 Q132:-0.50000000000000 Q133:31.75000000000000 Q134:VIPEP
 
Found 9 records. mysql icon_filters: group_id between 0 and 5000 and q19 like '%Fun%' and (( q2 like '%aid%' and q2 like '%hiv%' and q2 like '%living%' and q2 like '%health%' ) or ( q3 like '%aid%' and q3 like '%hiv%' and q3 like '%living%' and q3 like '%health%' ) or ( q4 like '%aid%' and q4 like '%hiv%' and q4 like '%living%' and q4 like '%health%' ) or ( q5 like '%aid%' and q5 like '%hiv%' and q5 like '%living%' and q5 like '%health%' ) or ( q6 like '%aid%' and q6 like '%hiv%' and q6 like '%living%' and q6 like '%health%' ) or ( q7 like '%aid%' and q7 like '%hiv%' and q7 like '%living%' and q7 like '%health%' ) or ( q8 like '%aid%' and q8 like '%hiv%' and q8 like '%living%' and q8 like '%health%' ) or ( q11 like '%aid%' and q11 like '%hiv%' and q11 like '%living%' and q11 like '%health%' ) or ( q17 like '%aid%' and q17 like '%hiv%' and q17 like '%living%' and q17 like '%health%' ) or ( q26 like '%aid%' and q26 like '%hiv%' and q26 like '%living%' and q26 like '%health%' ) or ( q27 like '%aid%' and q27 like '%hiv%' and q27 like '%living%' and q27 like '%health%' ) or ( q28 like '%aid%' and q28 like '%hiv%' and q28 like '%living%' and q28 like '%health%' ) or ( q29 like '%aid%' and q29 like '%hiv%' and q29 like '%living%' and q29 like '%health%' ) or ( q35 like '%aid%' and q35 like '%hiv%' and q35 like '%living%' and q35 like '%health%' ) or ( q41 like '%aid%' and q41 like '%hiv%' and q41 like '%living%' and q41 like '%health%' ) or ( q42 like '%aid%' and q42 like '%hiv%' and q42 like '%living%' and q42 like '%health%' ) or ( q43 like '%aid%' and q43 like '%hiv%' and q43 like '%living%' and q43 like '%health%' ) or ( q46 like '%aid%' and q46 like '%hiv%' and q46 like '%living%' and q46 like '%health%' ) or ( q47 like '%aid%' and q47 like '%hiv%' and q47 like '%living%' and q47 like '%health%' ) or ( q60 like '%aid%' and q60 like '%hiv%' and q60 like '%living%' and q60 like '%health%' ) or ( q65 like '%aid%' and q65 like '%hiv%' and q65 like '%living%' and q65 like '%health%' ) or ( q70 like '%aid%' and q70 like '%hiv%' and q70 like '%living%' and q70 like '%health%' ) or ( q71 like '%aid%' and q71 like '%hiv%' and q71 like '%living%' and q71 like '%health%' ) or ( q72 like '%aid%' and q72 like '%hiv%' and q72 like '%living%' and q72 like '%health%' ) or ( q73 like '%aid%' and q73 like '%hiv%' and q73 like '%living%' and q73 like '%health%' ) or ( q74 like '%aid%' and q74 like '%hiv%' and q74 like '%living%' and q74 like '%health%' ) or ( q75 like '%aid%' and q75 like '%hiv%' and q75 like '%living%' and q75 like '%health%' ) or ( q76 like '%aid%' and q76 like '%hiv%' and q76 like '%living%' and q76 like '%health%' ) or ( q77 like '%aid%' and q77 like '%hiv%' and q77 like '%living%' and q77 like '%health%' ) or ( q80 like '%aid%' and q80 like '%hiv%' and q80 like '%living%' and q80 like '%health%' ) or ( q81 like '%aid%' and q81 like '%hiv%' and q81 like '%living%' and q81 like '%health%' ) or ( q86 like '%aid%' and q86 like '%hiv%' and q86 like '%living%' and q86 like '%health%' ) or ( q87 like '%aid%' and q87 like '%hiv%' and q87 like '%living%' and q87 like '%health%' ) or ( q88 like '%aid%' and q88 like '%hiv%' and q88 like '%living%' and q88 like '%health%' ) or ( q89 like '%aid%' and q89 like '%hiv%' and q89 like '%living%' and q89 like '%health%' ) or ( q98 like '%aid%' and q98 like '%hiv%' and q98 like '%living%' and q98 like '%health%' ) or ( q99 like '%aid%' and q99 like '%hiv%' and q99 like '%living%' and q99 like '%health%' ) or ( q110 like '%aid%' and q110 like '%hiv%' and q110 like '%living%' and q110 like '%health%' ) or ( q111 like '%aid%' and q111 like '%hiv%' and q111 like '%living%' and q111 like '%health%' ) or ( q116 like '%aid%' and q116 like '%hiv%' and q116 like '%living%' and q116 like '%health%' ) or ( q117 like '%aid%' and q117 like '%hiv%' and q117 like '%living%' and q117 like '%health%' ) or ( q123 like '%aid%' and q123 like '%hiv%' and q123 like '%living%' and q123 like '%health%' ) or ( q125 like '%aid%' and q125 like '%hiv%' and q125 like '%living%' and q125 like '%health%' ) or ( q132 like '%aid%' and q132 like '%hiv%' and q132 like '%living%' and q132 like '%health%' ) or ( q133 like '%aid%' and q133 like '%hiv%' and q133 like '%living%' and q133 like '%health%' ) or ( q134 like '%aid%' and q134 like '%hiv%' and q134 like '%living%' and q134 like '%health%' ) or ( q135 like '%aid%' and q135 like '%hiv%' and q135 like '%living%' and q135 like '%health%' ) or ( q136 like '%aid%' and q136 like '%hiv%' and q136 like '%living%' and q136 like '%health%' ) or ( q138 like '%aid%' and q138 like '%hiv%' and q138 like '%living%' and q138 like '%health%' ) or ( q141 like '%aid%' and q141 like '%hiv%' and q141 like '%living%' and q141 like '%health%' ) or ( q142 like '%aid%' and q142 like '%hiv%' and q142 like '%living%' and q142 like '%health%' ) or ( q151 like '%aid%' and q151 like '%hiv%' and q151 like '%living%' and q151 like '%health%' )) LIMIT 4000; filter_questions ['q19'] merge:ignore A[oB0v71aXCXE1]:SUCCESS: 1 rows inserted. not enough values to unpack (expected 3, got 2)