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

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Table 11.8 Residual indoor spraying by timing of last sprayingPercentage of households whose interior walls had been sprayed in the 12 months preceding the survey and amongthose that were sprayed, the timing of last spraying, by background characteristics, Tanzania HMIS 2007-08BackgroundcharacteristicPercentageofhouseholdsnot sprayedin past 12monthsAmong households sprayed in past 12 months,timing of last spraying
11.6 SOURCE OF MOSQUITO NETSUntil late 2008, when free distribution of LLINs began in Tanzania, mosquito nets weremainly obtained through the commercial sector. They are sold as ordinary commodities in retailoutlets or they are available at a subsidized rate through government health programmes. The same istrue for insecticide treatment kits for mosquito nets. The Government health subsidy programme,referred to as the Tanzania National Voucher Scheme (TNVS) or Hati Punguzo Programme, providesvouchers for all pregnant women and infants who attend health facilities. Vouchers can be exchangedfor a mosquito net at designated private outlets (with a small upfront cost). Occasionally, mosquitonets are distributed free of charge to households with children under five through specific healthcampaigns.In the 2007-08 THMIS, respondents in households with mosquito nets were asked about thesources of the nets. Table 11.9 shows, among households with at least one mosquito net, thepercentage of households that obtained the nets from specific sources, and the percentage ofhouseholds that received the mosquito nets under the Hati Punguzo programme. Shops are the leadingsource of mosquito nets in Mainland Tanzania (33 percent) while health facilities are the leadingsource in Zanzibar (55 percent). The second most common source of mosquito nets in the Mainland isthe Hati Punguzo programme (21 percent), and in Zanzibar it is shops (52 percent).Similar proportions of urban and rural households obtained mosquito nets from Hati Punguzo(19 and 21 percent, respectively) and health facilities (19 and 22 percent, respectively). Shops aremore likely to be the source of mosquito nets in urban households (54 percent) than in ruralhouseholds (27 percent).As expected, households in the highest wealth quintile (59 percent) are more likely thanhouseholds in the lowest wealth quintile (18 percent) to obtain a mosquito net from a shop. The samedifferential is observed in households where mothers have a secondary or higher education (64percent) compared with households where mothers have no education (27 percent). Hati Punguzo as asource of mosquito nets is not associated with the education level of the mother or the economic statusof households.There are minor differences in the percentage of people obtaining mosquito nets through theHati Punguzo programme across the 21 regions of Mainland Tanzania, ranging from 12 percent inIringa to 33 percent in each Lindi and Mtwara. Regional differences are sharper among householdswhose main source of a mosquito net is a shop, ranging from 12 percent in Iringa to 55 percent inMara.146 | Malaria
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TanzaniaHIV/AIDS and MalariaIndicat
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The 2007-08 Tanzania HIV/AIDS and M
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3.5 Access to Mass Media ..........
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12.2 Orphans and Vulnerable Childre
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Table 4.3Table 4.4Table 4.5Table 4.
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Figure 9.2 HIV Prevlence by Region/
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FOREWORDThis report presents the ma
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SUMMARY OF FINDINGSThe 2007-08 Tanz
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HIV prevalence among youth (women a
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xxii | Map of Tanzania
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1.2 NATIONAL POLICY ON HIV/AIDSIn r
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To assess levels and trends in know
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1.8 FIELDWORKData collection was ca
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Table 1.1 Results of the household
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Figure 2.1 presents a graphic pictu
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Table 2.3.1 Educational attainment
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Educational attainment is higher in
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2.5.1 Energy SourcesTable 2.5 prese
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The most common items are agricultu
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The 2007-08 THMIS included aquestio
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Table 3.1—ContinuedBackgroundchar
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Education is positively related to
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Table 3.3.2 Employment status: MenP
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Table 3.4.1 Exposure to mass media:
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3.6 CURRENT MARITAL STATUSMarriage
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Polygyny also varies by household w
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Four in ten women age 20-49 marry b
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There is a positive relationship be
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FERTILITY AND REPRODUCTIVE HEALTH 4
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Table 4.2 Fertility by background c
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infertility, 1 or the inability to
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4.3 ADOLESCENT FERTILITYAdolescent
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Table 4.7 Antenatal carePercent dis
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Table 4.8 Place of antenatal carePe
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Table 5.1 Knowledge of AIDSPercenta
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The use of condoms as an effective
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Table 5.3.2 Comprehensive knowledge
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more education) and those in the fo
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Table 5.5.1 Exposure to HIV educati
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5.6 KNOWLEDGE AND ATTITUDE CONCERNI
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Table 5.6.2 Knowledge and attitudes
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Table 6.1.1 Accepting attitudes tow
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Stigma is also found to vary with l
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6.3 ATTITUDES OF ADULTS TOWARDS EDU
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HIV/AIDS-RELATED BEHAVIOUR 77.1 INT
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Table 7.2.1 Recent sexual activity:
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Figure 7.1 Recent Sexual Intercours
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Table 7.3.2 Multiple sexual partner
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Table 7.4 Payment for sexual interc
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Table 7.5.1 Coverage of prior HIV t
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Figure 7.2 Prior HIV Testing by Edu
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7.7 PREVALENCE OF SEXUALLY TRANSMIT
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Figure 7.3 Prevalence of STIs and S
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Table 7.8 Prevalence of medical inj
Page 117 and 118: Table 8.1 Comprehensive knowledge a
Page 119 and 120: Table 8.2 Age at first sexual inter
Page 121 and 122: Never-married women and men age 15-
Page 123 and 124: Figure 8.3 Condom Use at Premarital
Page 125 and 126: Table 8.5.2 Higher-risk sexual inte
Page 127 and 128: Table 8.6 Age-mixing in sexual rela
Page 129 and 130: 8.9 HIV TESTING AMONG YOUNG PEOPLEK
Page 132 and 133: HIV PREVALENCE 99.1 INTRODUCTIONPri
Page 134 and 135: Table 9.1 Coverage of HIV testing b
Page 136 and 137: Table 9.1—ContinuedBackgroundchar
Page 138 and 139: Table 9.3 HIV prevalence by ageAmon
Page 140 and 141: There are large variations in HIV p
Page 142 and 143: Table 9.5 shows that men who are cu
Page 144 and 145: Women who said they had higher-risk
Page 146 and 147: Table 9.8 shows data on HIV prevale
Page 148 and 149: Table 9.11 HIV prevalence by male c
Page 150 and 151: INFANT AND CHILD MORTALITY 1010.1 I
Page 152 and 153: As expected, the level of infant an
Page 154: category (1.41) is 41 percent highe
Page 157 and 158: 11.1 OWNERSHIP AND USE OF MOSQUITO
Page 159 and 160: carrying mosquitoes. Much of the fi
Page 161 and 162: 11.2 USE OF ANTIMALARIAL DRUGS DURI
Page 163 and 164: 11.3 TREATMENT OF CHILDREN WITH FEV
Page 165 and 166: 11.4.1 Type and Timing of Antimalar
Page 167: 11.4.2 Availability of Drug at Home
Page 171 and 172: In spite of steady increases in ITN
Page 174 and 175: ORPHANS AND VULNERABLE CHILDREN 12P
Page 176 and 177: 12.2 ORPHANS AND VULNERABLE CHILDRE
Page 178 and 179: 12.3.1 School Attendance by Survivo
Page 180 and 181: While there are no differences in p
Page 182 and 183: Table 12.7 Widows dispossessed of p
Page 184 and 185: Table 12.9 External support for orp
Page 186 and 187: REFERENCESAgot, K.E., J.O. Ndinya-A
Page 188 and 189: SAMPLE IMPLEMENTATIONAPPENDIX AAppe
Page 190 and 191: Table A.2 Sample implementation: Me
Page 192 and 193: Table A.4 Coverage of HIV testing a
Page 194: Table A.6 Coverage of HIV testing a
Page 197 and 198: where h represents the stratum whic
Page 199 and 200: Table B.2 Sampling errors for Natio
Page 201 and 202: Table B.4 Sampling errors for Rural
Page 203 and 204: Table B.6 Sampling errors for Mainl
Page 205 and 206: Table B.8 Sampling errors for Mainl
Page 207 and 208: Table B.10 Sampling errors for Zanz
Page 209 and 210: Table B.12 Sampling errors for Nort
Page 211 and 212: Table B.14 Sampling errors for Sout
Page 213 and 214: Table B.16 Sampling errors for East
Page 215 and 216: Table B.18 Sampling errors for Dodo
Page 217 and 218: Table B.20 Sampling errors for Kili
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Table B.22 Sampling errors for Moro
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Table B.24 Sampling errors for Dar
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Table B.26 Sampling errors for Mtwa
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Table B.28 Sampling errors for Irin
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Table B.30 Sampling errors for Sing
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Table B.32 Sampling errors for Rukw
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Table B.34 Sampling errors for Shin
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Table B.36 Sampling errors for Mwan
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Table B.38 Sampling errors for Many
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Table B.40 Sampling errors for Pemb
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216 | Appendix B
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Joyce MbambaYulitha MwakasoleRemigi
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QUESTIONNAIRESAppendix DAppendix D
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HOUSEHOLD SCHEDULEIntroduction and
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IF AGE 0-17 YEARSIF AGE 5 YEARS OR
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IF AGE 0-17 YEARSLINE SICK CARE SUR
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HOUSEHOLD CHARACTERISTICSNO. QUESTI
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NO. QUESTIONS AND FILTERS CODING CA
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SUPPORT FOR SICK PEOPLENO. QUESTION
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NO.QUESTIONS AND FILTERSSUPPORT FOR
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NO.QUESTIONS AND FILTERSCODING CATE
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CHILD 4 CHILD 5 CHILD 6502 LINE NUM
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515 CHECK 509:NUMBER OF CHILDREN WI
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UNITED REPUBLIC OF TANZANIATANZANIA
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213 214 215 216217 218219 220221222
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LAST BIRTH NEXT-TO-LAST BIRTH SECON
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LASTSEXUAL PARTNERSECOND-TO-LASTSEX
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SECTION 7 - HIV TESTTHIS PAGE TO BE
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