{"doc_desc":{"title":"Division of Malaria Contro [Ministry of Public Health and Sanitation], Kenya Nationa Bureau of Statistics, and ICF Macro. 2011. 2010 Kenya Malaria Indicator Suervey. Nairobi, Kenya:DOMC,KNBS and ICF Macro","idno":"KMIS-2010","producers":[{"name":"Division Of Malarial Control","abbreviation":"DOMC","affiliation":"Ministry of Public Health and Santation","role":"Production"},{"name":"Kenya National Bureau of Statistics","abbreviation":"KNBS","affiliation":"","role":"Production"},{"name":"ICF Macro","abbreviation":"ICF","affiliation":"","role":"Production"}],"prod_date":"2012-08-02"},"study_desc":{"title_statement":{"idno":"KEN-KNBS-KMIS-2010-V0.1","title":"Kenya Malaria Indicator Survey 2010","alt_title":"KMIS"},"authoring_entity":[{"name":"Kenya National Bureau of Statistics","affiliation":""},{"name":"Division of Malaria Control","affiliation":"Ministry of Public Health and Sanitation"}],"production_statement":{"producers":[{"name":"Kenya National Bureau of Stataistics","affiliation":"","role":"Data collection logistics"},{"name":"Department of Malaria Control","affiliation":"Ministry of Public Health and sanitation","role":"Administrative"},{"name":"World Health Organization","affiliation":"","role":"Technical Assistance"},{"name":"Center for Disease Control and Prevention","affiliation":"","role":"Technical Assistance"}],"prod_date":"2012-08-02","funding_agencies":[{"name":"United Kingdom Department for Internation International Development","abbreviation":"DFID","role":"Funding"},{"name":"United states President's Malaria Initiative","abbreviation":"PMU","role":"Funding"},{"name":"United Nations Children's Fund","abbreviation":"UNICEF","role":"Funding"}]},"distribution_statement":{"contact":[{"name":"Director General","affiliation":"","email":"directorgeneral@knbs.or.ke","uri":"www.knbs.or.ke"}],"depositor":[{"name":"","abbreviation":"","affiliation":""}]},"series_statement":{"series_name":"Other Household Health Survey [Malaria Survey]","series_info":"Kenya Malaria Indicator Survey done in 2010 and had been done prvesioly in 2007"},"version_statement":{"version":"- v1.1:  Data captured as it was collected from the field.\n- v1.2:  Cleaned data and validated data","version_notes":"Initially the data was in captured using MS-ACCESS, exported to CSpro 4.\n1 and then exported  to SPSS for Analysis"},"study_info":{"keywords":[{"keyword":"Artemisinin-based combination therapy","vocab":"ACT","uri":""},{"keyword":"Affordable Medicines Facility for malaria","vocab":"AMFM","uri":""},{"keyword":"Artemether-lumefantrine","vocab":"AL","uri":""},{"keyword":"Antenatal care","vocab":"ANC","uri":""},{"keyword":"Centers for Disease Control and Prevention","vocab":"CDC","uri":""},{"keyword":"Constituencies Development Fund","vocab":"CDF","uri":""},{"keyword":"Community Health Strategy","vocab":"CHS","uri":""},{"keyword":"Stayed in the sampled household the night before the survey","vocab":"De facto","uri":""},{"keyword":"De jure Usual member of household, regardless of presence at the time of the survey","vocab":"De jure","uri":""},{"keyword":"(United Kingdom) Department for International Development","vocab":"DFID","uri":""},{"keyword":"District Health Stakeholders Forum","vocab":"DHSF","uri":""},{"keyword":"Division of Malaria Control","vocab":"DOMC","uri":""},{"keyword":"Enumeration area","vocab":"EA","uri":""},{"keyword":"El Ni\u00f1o southern oscillation","vocab":"ENSO","uri":""},{"keyword":"Economic Recovery Strategy","vocab":"ERS","uri":""},{"keyword":"Grams per decilitre","vocab":"g\/dl","uri":""},{"keyword":"Gross domestic product","vocab":"GDP","uri":""},{"keyword":"Global Fund to Fight AIDS, TB and Malaria","vocab":"GFATM","uri":""},{"keyword":"Global positioning system","vocab":"GPS","uri":""},{"keyword":"Haemoglobin","vocab":"Hb","uri":""},{"keyword":"Household","vocab":"HH","uri":""},{"keyword":"Intermittent preventive treatment in Intermittent preventive treatment in pregnancy","vocab":"IPTp","uri":""},{"keyword":"Indoor residual spraying","vocab":"IRS","uri":""},{"keyword":"Insecticide-treated net","vocab":"ITN","uri":""},{"keyword":"Integrated vector management","vocab":"IVM","uri":""},{"keyword":"Kenya Demographic and Health Survey","vocab":"KDHS","uri":""},{"keyword":"Kenya Medical Research Institute","vocab":"KEMRI","uri":""},{"keyword":"Kenya Essential Package for Health","vocab":"KEPH","uri":""},{"keyword":"Kenya Malaria Indicator Survey","vocab":"KMIS","uri":""},{"keyword":"Kenya National Bureau of Statistics","vocab":"KNBS","uri":""},{"keyword":"Long-lasting insecticidal net","vocab":"LLIN","uri":""},{"keyword":"Millennium Development Goals","vocab":"MDGs","uri":""},{"keyword":"Ministry of Public Health and Sanitation","vocab":"MOPHS","uri":""},{"keyword":"Malaria treatment guidelines","vocab":"MTG","uri":""},{"keyword":"Medium Term Plan","vocab":"MTP","uri":""},{"keyword":"National Sample Survey and Evaluation National Sample Survey and Evaluation Programme","vocab":"NASSEP","uri":""},{"keyword":"National Coordinating Agency for Population and Development","vocab":"NCAPD","uri":""},{"keyword":"Second National Health Sector Strategic Plan 2005\u20132010 (extended to 2012)","vocab":"NHSSP II","uri":""},{"keyword":"National Malaria Strategy","vocab":"NMS","uri":""},{"keyword":"Personal digital assistant","vocab":"PDA","uri":""},{"keyword":"US President\u2019s Malaria Initiative","vocab":"PMI","uri":""},{"keyword":"Population Services International","vocab":"PSI","uri":""},{"keyword":"Rapid diagnostic tests","vocab":"RDT","uri":""},{"keyword":"Sulphadoxine or sulphalene-pyrimethamine","vocab":"SP","uri":""},{"keyword":"United Nations Children\u2019s Fund","vocab":"UNICEF","uri":""},{"keyword":"World Health Organization","vocab":"WHO","uri":""}],"abstract":"The 2010 Kenya Malaria Indicator Survey (KMIS) was designed to assess the global Roll Back Malaria targets which were adopted in the national Malaria Strategy(NMS) 2009-2017 (DOMC, 2009), \nSpecific objectives were:\nTo determine the status of coverage of various key malaria interventions measures, assess the prevalence of malaria among children 3 months to 14 years, assess the level of anaemia among children 6 months to 14 years.  A sample of of 7,200 households was selected to be a representative of the entire population in Kenya.The design for the survey used a representative probability sample to produce estimates for four malaria epidemiological zones with the edemic zones divided into lake endemic and coast endemic to make five zones:\n\n1. Highland epidemic - prone\n2. Lake endemic\n3. Coast endemic\n4. Seasonal risk\/Semi-arid\n5. Low risk.","coll_dates":[{"start":"2010","end":"","cycle":""}],"nation":[{"name":"Kenya","abbreviation":"KEN"}],"geog_coverage":"It was a National survey covering five zones\n1. Highland epidemic - prone\n2. Lake endemic\n3. Coast endemic\n4. Seasonal risk\/Semi-arid\n5. Low risk.\n\nThe survey used National Sample Survey and Evaluation Programme (NASSEP) IV sampling frame, the frame was nationally representative and was developed by the KNBS after the 1999 Census. A sample of 240 clusters was selected with a uniform sample 30 households allocated to each cluster.\n7200 household were designed to produce estimates of most of the key malaria indicators including the prevalence of anaemia in children 6 months through 14 years for the specified domain.","analysis_unit":"Two types of questionnairs were used:\nA household questionnaire; the unit of analysis is the household and captured information on usual members & visitors and household characteristics.   \nThe woman's questionnaire whose unit of analysis is individual women targeting women aged 15 - 49 years.","universe":"A household questionnaire captured information on usual members & visitors, including age, sex and relationship to head  and also  household characteristics.   \n\nThe woman's questionnaire targeted women aged 15 - 49 years. It was used to collect information on background characteristics, reproductive history, use of intermittent preventive treatment during pregnancy for recent births, fever prevalence and treatment among children under five, and knowledge and attitudes regarding malaria and child survival.","data_kind":"Sample survey data [ssd]","notes":"HOUSEHOLD: Household characteristics, Assess the prevalence of malaria among children 3 months to 14 years, Assess the level of anaemia among children 6 months to 14 years. Mosquito Net usage by defacto members of the household,The woman's questionnaire targeted women aged 15 - 49 years. It was used to collect information on background characteristics, reproductive history, use of intermittent preventive treatment during pregnancy for recent births, fever prevalence and treatment among children under five, and knowledge and attitudes regarding malaria and child survival."},"method":{"data_collection":{"time_method":"Data collection began 18th July and ended  2nd September 2010 with a break of one  week in between (1st - 7th August), the  field work took approximately 40 days.","sampling_procedure":"2010 KMIS  used the National Sample Survey and Evaluation Programme (NASSEP) IV sampling frame. The design for the survey used a representative probability sample to produce estimates for the four malaria epidemiological zones. \n\nIn each zone, clusters were categorized in into urban and rural areas providing two implicit domains for analysis at the national level.\nThe frame is nationally representative and was developed by KNBS after the 1999 Census to support two - stage cluster sample surveyss. The first stage sampling process involved selection of enumeration ares (EAs) and creation of 1,800 clusters with probability proportional to measure of size with the districs at the as the first level of stratification.\n\nFrom the national frame a sample of 240 clusters were selected for the 2010 KMIS  with a uniform sample of 30 households allocated to each cluster to make a representative sample.   7,200 households were drawn to provide  estimates of most of the key malaeria indicators.","coll_mode":"The 2010 - KMIS employed oral interviews recording the answers on questionnaire, two types of questionnaires were used; a household questionnaire and a Woman's questionnaire,the questionnaires were programmed into PDAs and the answered were keyed in directily into the PDA. Three biomarkers were used for testing:\n(1) Taking finger - prick blood samples from children aged 6 months through 14 years (2)  to perform a rapid malaria test (3) to prepare thick and thin blood smears that were read in the laboratory to determine malaria parastaemia.","weight":"Sample allocation among the domains was not proportional and therefore, the resulting sample was  not self-weighting- Weighting adjustments were done to provide comparable estimates for the domains of study \nweighting was done using the frame design selection probabilities and adjusted to cater for household and individual non-response and the aggregates weights were normalized and then applied to the data.\n\nCalculation of Weights"}}}}