Tanzania HIV/AIDS and Malaria Indicator Survey ... - Measure DHS

Table 11.1 Ownership of mosquito netsPercentage of households with at least one and more than one mosquito net (treated or untreated), percentage with at least one and more thanone ever-treated mosquito net, and percentage with at least one and more than one isecticide-treated net (ITN), and the average number of netsper household, by background characteristics, Tanzania HMIS 2007-08BackgrounddaracteristicAny type of mosquito netPercentagewith atleast onePercentagewith morethan oneAveragenumber ofnets perhouseholdEver-treated mosquito net 1Percentagewith atleast onePercentagewith morethan oneAveragenumberof everreatednetsperhouseholdPercentagewith atleast oneInsecticide-treatedmosquito nets (ITNs) 2Percentagewith morethan oneAveragenumber ofITNs perhouseholdNumber ofhouseholdsResidenceUrban 78.6 47.2 1.6 72.3 42.1 1.5 59.2 31.6 1.1 2,106Rural 48.9 26.5 0.9 44.8 23.3 0.8 32.6 14.6 0.6 6,391Mainland/ZanzibarMainland 55.6 30.7 1.1 50.8 27.0 0.9 38.3 17.9 0.7 8,269Mainland – Urban 78.5 46.6 1.6 72.0 41.4 1.5 58.8 30.9 1.1 2,041Dar es Salaam City 89.2 54.3 1.9 81.2 46.9 1.7 70.0 36.6 1.3 593Other Urban 74.1 43.5 1.5 68.2 39.1 1.4 54.2 28.6 1.0 1,448Mainland – Rural 48.1 25.5 0.9 43.8 22.3 0.8 31.6 13.6 0.5 6,228Zanzibar 81.7 65.3 2.2 80.6 64.2 2.2 71.9 53.1 1.7 228Region/IslandArusha 45.1 21.3 0.8 43.1 20.9 0.8 32.4 15.0 0.5 362Dar es Salaam 89.4 54.8 1.9 81.8 47.2 1.7 70.7 37.3 1.3 624Dodoma 44.1 19.3 0.7 39.4 16.1 0.6 28.2 11.8 0.5 384Iringa 24.6 9.7 0.4 23.5 8.9 0.4 17.6 6.7 0.3 451Kagera 49.4 25.6 0.9 40.5 19.6 0.7 29.5 13.5 0.5 480Kigoma 46.4 23.4 0.8 43.2 22.0 0.8 31.1 12.5 0.5 329Kilimanjaro 43.8 24.2 0.8 38.6 19.0 0.7 29.9 13.5 0.5 363Lindi 64.7 40.3 1.3 63.2 39.1 1.2 40.0 21.7 0.7 257Manyara 33.1 13.8 0.6 31.8 11.8 0.5 22.1 6.9 0.3 244Mara 76.5 47.1 1.6 70.4 39.7 1.4 56.5 23.4 1.0 280Mbeya 41.7 24.8 0.8 41.0 24.8 0.8 29.9 14.5 0.5 610Morogoro 64.1 36.8 1.2 60.6 32.8 1.1 44.1 20.2 0.8 489Mtwara 68.0 37.0 1.3 67.2 35.7 1.2 42.9 17.8 0.7 341Mwanza 76.0 48.9 1.6 61.6 39.3 1.3 48.4 28.1 1.0 623Pwani 62.9 40.5 1.3 59.5 37.2 1.2 47.8 24.8 0.9 212Rukwa 44.6 21.0 0.8 43.6 19.9 0.8 29.4 13.0 0.5 293Ruvuma 60.7 33.6 1.1 56.8 30.8 1.0 39.4 17.0 0.6 317Shinyanga 55.6 29.6 1.1 48.1 24.8 0.9 37.8 17.2 0.6 596Singida 41.9 16.3 0.6 35.9 11.3 0.5 26.4 7.2 0.3 214Tabora 58.0 28.9 1.1 55.4 27.3 1.1 39.8 18.4 0.7 393Tanga 50.4 26.0 0.9 46.0 22.4 0.8 38.6 15.9 0.6 407Pemba 82.6 69.4 2.3 82.3 69.0 2.3 76.2 59.0 1.9 79Unguja 81.2 63.1 2.1 79.7 61.7 2.1 69.6 49.9 1.6 149ZoneWestern 54.0 27.8 1.0 49.0 24.8 0.9 36.7 16.4 0.6 1,318Northern 44.2 22.1 0.8 40.8 19.2 0.7 31.7 13.4 0.5 1,375Central 43.3 18.3 0.7 38.1 14.4 0.6 27.6 10.2 0.4 598Southern Highlands 36.7 19.0 0.7 35.7 18.4 0.7 25.7 11.6 0.4 1,355Lake 66.9 40.4 1.4 56.0 32.6 1.1 43.5 22.1 0.8 1,383Eastern 75.9 45.9 1.6 70.4 40.3 1.4 57.2 29.0 1.0 1,325Southern 64.5 36.7 1.2 62.5 35.0 1.2 40.9 18.6 0.7 914Wealth quintileLowest 36.2 14.4 0.6 32.4 12.3 0.5 22.1 6.6 0.3 1,658Second 45.6 21.6 0.8 40.9 19.0 0.7 28.2 11.6 0.4 1,656Middle 49.3 26.5 0.9 45.2 24.2 0.8 33.7 15.0 0.6 1,618Fourth 61.8 36.5 1.2 57.3 31.9 1.1 41.3 20.4 0.7 1,666Highest 84.3 55.7 1.9 78.2 49.3 1.7 66.7 37.7 1.3 1,896Total 56.3 31.7 1.1 51.6 28.0 1.0 39.2 18.8 0.7 8,4971An ever-treated net is a pretreated net or a non-pretreated that has subsequently been soaked with insecticide at any time.2An insecticide-treated net (ITN) is 1) a factory-treated net that does not require any further treatment or 2) a pretreated net obtained within thepast 12 months, or 3) a net that has been soaked with insecticide within the past 12 months.11.1.2 Use of Mosquito NetsThe 2007-08 THMIS asked respondents about the use of mosquito nets by householdmembers during the night before the survey. Table 11.2 shows the percentage of children under agefive years who slept under a mosquito net the night before the survey, and Table 11.3 shows thepercentage of women and pregnant women who slept under a mosquito net the night before thesurvey. Use of mosquito nets may vary with seasonal changes in rainfall and prevalence of malaria-Malaria | 135