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Table 10.3 Vaccinations by background characteristicsPercentage of children age 12-23 months who received specific vaccines at any time before the survey (according to a health card or the mother's report), andpercentage with a vaccination card, by background characteristics, Swaziland 2006-07DPT Polio 1 Hepatitis BBCG 1 2 3 0 1 2 3 1 2 3 MeaslesAll basicvaccinations2NovaccinationsPercentagewithhealthcardseenSexMale 97.1 96.7 95.7 93.4 92.9 96.8 95.6 87.7 96.4 95.3 92.0 91.5 81.8 2.4 84.2 272Female 97.3 95.2 93.2 89.9 93.2 97.1 94.7 86.9 94.6 93.9 90.2 91.5 81.7 2.6 84.0 259Birth order1 96.6 96.1 93.3 91.0 90.4 96.9 94.0 84.6 95.5 94.0 89.6 92.3 79.4 2.6 78.5 1852-3 96.4 94.1 92.6 89.7 92.3 95.5 93.6 85.2 94.1 93.0 90.0 92.9 82.1 3.4 81.8 1894-5 98.9 97.8 97.8 92.6 96.2 98.9 98.5 89.9 96.5 96.5 91.5 87.0 79.3 1.1 91.7 966+ 98.6 98.6 98.6 98.6 98.6 98.6 98.6 98.0 98.6 98.6 98.6 92.1 91.5 1.4 96.3 61ResidenceUrban 96.6 96.4 94.3 90.8 94.6 97.0 94.2 79.3 94.8 94.0 91.5 94.8 77.7 2.7 75.3 103Rural 97.3 95.9 94.5 91.9 92.7 96.9 95.4 89.2 95.7 94.7 91.0 90.7 82.7 2.4 86.2 428RegionHhohho 97.2 95.9 94.5 93.1 94.5 97.2 96.6 89.3 95.9 95.9 93.1 93.7 84.3 2.8 86.8 149Manzini 96.6 95.4 95.1 93.3 93.2 97.3 94.4 88.4 95.7 94.6 92.6 90.5 81.9 2.7 84.5 162Shiselweni 97.2 96.7 96.7 92.6 93.3 97.6 96.6 87.5 95.2 95.2 92.4 91.6 83.7 2.4 83.5 111Lubombo 97.9 96.2 91.2 86.4 90.7 95.4 93.0 82.8 95.2 92.2 84.8 90.0 76.1 1.8 80.5 110Mother’seducationNo education (95.2) (93.1) (91.4) (90.5) (93.0) (91.4) (90.5) (85.2) (93.1) (91.4) (89.5) (84.4) (76.5) (4.8) (80.8) 44Lower primary 93.7 95.8 94.3 87.7 90.4 95.8 95.8 89.0 93.7 93.7 87.7 84.5 77.7 4.2 91.4 51Higher primary 99.1 96.9 94.5 90.5 90.7 98.4 96.8 87.0 95.5 92.9 87.8 92.3 80.8 0.9 81.4 145Secondary 97.0 95.1 94.5 93.8 94.2 97.2 94.3 89.0 95.5 95.5 93.5 91.9 83.8 2.6 85.9 175High school 97.7 97.7 95.7 93.3 97.1 97.7 97.6 85.0 97.7 97.7 94.1 95.8 83.1 2.3 85.3 88Tertiary (96.4) (96.4) (94.8) (89.0) (90.7) (96.4) (91.0) (86.1) (96.4) (94.5) (92.9) (95.2) (84.8) (3.6) (75.7) 29Wealth quintileLowest 97.2 96.4 93.5 91.7 93.4 97.3 96.3 90.4 94.4 94.4 89.8 89.4 82.3 1.8 89.1 108Second 96.8 93.1 92.3 89.5 91.9 96.8 94.0 88.2 93.7 93.7 89.6 88.5 80.3 3.2 84.8 115Middle 98.8 98.8 97.3 93.8 93.0 97.3 96.6 86.8 98.8 95.4 91.0 93.1 82.1 1.2 83.0 123Fourth 98.0 97.0 97.0 94.4 93.9 98.0 96.9 89.2 95.7 95.4 94.3 94.3 85.6 2.0 85.5 95Highest 94.7 94.2 91.7 88.8 93.2 95.2 91.7 81.1 94.7 94.0 91.3 92.9 78.5 4.5 77.3 90Total 97.2 96.0 94.5 91.7 93.1 97.0 95.2 87.3 95.5 94.6 91.1 91.5 81.7 2.5 84.1 531Note: Figures in parentheses are based on 25-49 unweighted cases.1 Polio 0 is the polio vaccination given at birth.2 BCG, measles, and three doses each of DPT and polio vaccine (excluding polio vaccine given at birth)Numberofchildren10.3 ACUTE RESPIRATORY INFECTION AND FEVERThe 2006-07 SDHS collected information on the prevalence and treatment of acute respiratoryinfection among young children. Acute respiratory infection (ARI) is one of the leading causes ofchildhood morbidity and mortality. Early diagnosis and treatment with antibiotics can prevent a largeproportion of deaths caused by ARI. In the 2006-07 SDHS, the prevalence of ARI was estimated byasking mothers whether their children under age five had been ill in the two weeks preceding the survey,with a cough accompanied by short, rapid breathing which the mother considered to be chest-related.These symptoms are compatible with ARI.The SDHS also obtained information on the prevalence and treatment of fever. Fever is asymptom of malaria and other acute infections in children, and it is important that children with fever beevaluated promptly and treated appropriately. This section focuses on presenting basic information fromthe SDHS on the prevalence and treatment response to fever in young children. Additional informationrelevant to efforts in Swaziland to address the problem of malaria is discussed in Chapter 12.Child Health | 131
Table 10.4 presents the proportions of childrenunder five who were reported by their mother asexperiencing fever or symptoms of ARI in the twoweeks preceding the SDHS. When considering theinformation on ARI and fever prevalence, it should beremembered that the data are based on the mother’sperception of illness without validation by medicalpersonnel.Overall, Table 10.4 shows that, in the twoweeks prior to SDHS, eight children under age fiveexperienced symptoms of ARI, and 28 percent had afever. The likelihood that a child was ill either withthe symptoms of an acute respiratory infection orfever during the period varies according to the child’sage. The prevalence of ARI symptoms was highestamong children age 6-35 months (10 percent). Theprevalence of fever peaked at 41 percent amongchildren age 6-11 months, and then fell to around halfthat level among children age 36-59 months. Therewas only a small difference in the prevalence of ARIsymptoms between boys and girls. Boys, however,were much more likely than girls to have a fever (31percent and 24 percent, respectively).Rural children were more likely than childrenin urban areas to have been ill with ARI symptoms orfever during the two weeks prior to the SDHS.Prevalence of both illnesses is substantially higher inLubombo than in the other regions. Although notuniform, the likelihood that a child had been ill withARI symptoms or fever also decreased with themother’s education level and the wealth quintile.Figure 10.2 presents information on actionsthat were taken to treat ARI symptoms and feveramong young children. Among the children thatTable 10.4 Prevalence and treatment of fever and symptomsof ARIAmong children under age five, the percentage who had feverand who had symptoms of acute respiratory infection (ARI) inthe two weeks preceding the survey, according to backgroundcharacteristics, Swaziland 2006-07BackgroundcharacteristicPercentagewithsymptomsof ARI 1Percentagewith feverNumber ofchildrenAge in months
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12.1.3 Prompt Treatment of Fever in
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Table 3.5.1 Employment status: Wome
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Table 13.8.1 Multiple sexual partne
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Figure 16.1 Number of Decisions in
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PREFACEThis detailed report present
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FAMILY PLANNINGKnowledge of family
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laria is also seasonal, occurring m
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xxviii | Map of Swaziland
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Because of the anonymous nature of
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HOUSEHOLD POPULATION AND HOUSING2CH
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given. Households in Swaziland are
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Table 2.3.2 Educational attainment
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Table 2.4 shows that for both boys
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The dropout rates are higher for bo
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2.4.2 Household Sanitation Faciliti
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Table 2.8—ContinuedHousingHouseho
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Table 2.10 Household possessionsPer
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Table 2.11 presents the percentage
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Table 3.1.1 Background characterist
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3.2 EDUCATIONAL ATTAINMENT BY BACKG
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Table 3.3.1 Literacy: Women 15-49Pe
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Table 3.3.4 Literacy: Older adults
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Table 3.4.2 Exposure to mass media:
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The pattern of exposure to mass med
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Table 3.5.1 Employment status: Wome
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Table 3.5.2 Employment status: Men
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3.6 OCCUPATIONRespondents who were
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Table 3.6.3 shows the percent distr
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Six in ten women and 72 percent of
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for women in the age group 30-34 (1
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Nonetheless, the results in Table 4
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4.6 BIRTH INTERVALSA birth interval
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Overall, 6 percent of women age 25-
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There are notable regional differen
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Table 5.1 Knowledge of contraceptiv
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62 | Family PlanningTable 5.3.1 Eve
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Table 5.3.2 Ever use of contracepti
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Figure 5.2 compares the modern cont
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9080706050403020100Figure 5.3 Contr
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Table 5.7 Number of children at fir
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consistent, asking informants in th
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Table 5.13 Informed choiceAmong cur
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5.14 PREFERRED METHOD OF CONTRACEPT
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Page 105 and 106: Table 5.19 Husband/partner's knowle
Page 107 and 108: OTHER PROXIMATE DETERMINANTS OF FER
Page 109 and 110: Table 6.2 Polygyny: Women and men a
Page 111 and 112: Table 6.4 Age at first marriage: Wo
Page 113 and 114: Eleven percent of women age 25-49 h
Page 115 and 116: The data for men show a different p
Page 117 and 118: Table 6.10.2 Recent sexual activity
Page 119 and 120: Women who gave birth three years pr
Page 121 and 122: FERTILITY PREFERENCES 7Dudu Dlamini
Page 123 and 124: Table 7.2.1 Desire to limit childbe
Page 125 and 126: Overall, unmet need does not vary i
Page 127 and 128: 7.5 MEAN IDEAL NUMBER OF CHILDREN B
Page 129 and 130: The total wanted fertility rate and
Page 131 and 132: Tables C.4-C.6 in Appendix C can be
Page 133 and 134: Figure 8.2 Neonatal, Postneonatal,
Page 135 and 136: Table 8.3 Early childhood mortality
Page 137 and 138: common single high-risk category is
Page 139 and 140: Table 9.1 Antenatal care providerPe
Page 141 and 142: Table 9.3 Components of antenatal c
Page 143 and 144: While older women of higher parity
Page 145 and 146: Table 9.6 Assistance during deliver
Page 147 and 148: Table 9.7 Timing of first postnatal
Page 149 and 150: accessing health services. Other li
Page 151 and 152: 10.2.1 Collection of DataThe 2006-0
Page 153: PercentFigure 10.1 Trend in Vaccina
Page 157 and 158: Table 10.5 Prevalence of diarrhoeaP
Page 159 and 160: Antibiotics and other medications a
Page 161 and 162: 10.5 KNOWLEDGE OF ORS PACKETSAs dis
Page 163 and 164: NUTRITION OF CHILDREN AND ADULTS 11
Page 165 and 166: Table 11.1—ContinuedBackgroundcha
Page 167 and 168: during the first three days after b
Page 169 and 170: SDHS by asking mothers about the fo
Page 171 and 172: Table 11.4 Median duration and freq
Page 173 and 174: The results in Table 11.5 document
Page 175 and 176: Figure 11.2 Percentage of Children
Page 177 and 178: years and above. Severe anaemia, wh
Page 179 and 180: Table 11.8.2—ContinuedBackgroundc
Page 181 and 182: Table 11.9 Micronutrient intake amo
Page 183 and 184: iodized salt. Manzini had the lowes
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Page 187 and 188: The results in Table 11.12.2 indica
Page 189 and 190: 11.12 MICRONUTRIENT INTAKE AMONG MO
Page 191 and 192: MALARIA AND OTHER HEALTH ISSUES 12A
Page 193 and 194: Tables 12.2 and 12.3 provide inform
Page 195 and 196: Table 12.4 provides information on
Page 197 and 198: 12.1.4 Indoor Residual SprayingIndo
Page 199 and 200: Slightly less than two-thirds of me
Page 201 and 202: Table 12.9.2 Health insurance cover
Page 203 and 204: Table 12.10.2 Knowledge and attitud
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HIV/AIDS-RELATED KNOWLEDGE, ATTITUD
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Table 13.2 Knowledge of HIV prevent
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Table 13.3.1 Comprehensive knowledg
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Table 13.4 shows that a relatively
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Table 13.5.2 Accepting attitudes to
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13.6 ATTITUDES TOWARDS CONDOM EDUCA
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Table 13.8.2 Multiple sexual partne
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Consistent use of condoms requires,
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Table 13.11.2 Coverage of prior HIV
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Table 13.13 Pregnant women counsell
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100Figure 13.1 Women and Men Seekin
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administered injections with a syri
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13.11.2 Knowledge of Condom Sources
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Table 13.20 Condom use at first sex
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Table 13.22.1 Higher-risk sexual in
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wealth quintile, especially among w
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13.11.9 HIV Testing and Counselling
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Table 14.1 Coverage of HIV testing
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Table 14.2 Coverage of HIV testing
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Looking at the age pattern, Table 1
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The HIV epidemic also exhibits some
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Table 14.6.1 HIV prevalence by demo
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As expected, men who sleep away fro
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Table 14.7.2 HIV prevalence by sexu
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Table 14.7.3 HIV prevalence by sexu
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The uptake of HIV testing in Swazil
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Table 14.11 HIV prevalence by backg
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14.6 HIV PREVALENCE AMONG COUPLESBo
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Of the 25,594 siblings reported in
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The results in Table 15.3 indicate
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“no” to this question were aske
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Older women and women with more chi
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Table 16.3 Women's control over the
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Figure 16.1 Number of Decisions in
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Differentials by region and wealth
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Table 16.7.1 Attitude toward refusi
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There are small differences by back
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Table 16.9 Current use of contracep
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Table 16.11 Reproductive health car
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ORPHANS AND VULNERABLE CHILDREN 17A
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Table 17.2 Orphans and vulnerable c
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There is only a minor difference in
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Table 17.6 Underweight orphans and
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17.8 WIDOWS DISPOSSESSED OFPROPERTY
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17.10 EXTERNAL SUPPORT FOR ORPHANS
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18.1 CAREGIVERTable 18.1 shows the
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Some parents or guardians take the
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Girls and boys age 12-14 were asked
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Figure 18.2 shows the percentage of
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Table 18.7 Exposure to information
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Table 18.9 Places for information a
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18.7 KNOWLEDGE OF HIV/AIDS HELP LIN
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When asked if they had discussed th
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REFERENCESAuvert, B., D. Taljaard,
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SAMPLE IMPLEMENTATIONAppendix ATabl
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Table A.3 Sample implementation: Gi
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Table A.5 Sample implementation: Wo
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ESTIMATES OF SAMPLING ERRORSAppendi
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Sampling errors are analyzed for tw
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Table B.1—Continued--------------
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DATA QUALITY TABLESAppendix CTable
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Table C.3 Completeness of reporting
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EFFECT OF NONRESPONSE ON THESDHS HI
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PERSONS INVOLVED IN THE 2006-07SWAZ
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Mr. Musa DlaminiMr. Patrick Makhubu
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2006 SWAZILAND DEMOGRAPHIC AND HEAL
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LINENO.IF AGE 18-59YEARSIF AGE 0-17
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LINENO.IF AGE 5 YEARS OR OLDERIF AG
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NO. QUESTIONS AND FILTERS CODING CA
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1ST SICK PERSON 2ND SICK PERSON 3RD
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NAME 1ST DEATH NAME 2ND DEATH NAME
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405 RECORD NAMES, LINE NUMBERS AND
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CONSENT STATEMENT FOR ANAEMIA FOR C
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CHILD 4 CHILD 5 CHILD 6502 LINE NUM
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CHILD 4 CHILD 5 CHILD 6502 LINE NUM
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CONSENT STATEMENT FOR ANAEMIA TEST
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WEIGHT, HEIGHT, HAEMOGLOBIN MEASURE
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WOMAN 4 WOMAN 5 WOMAN 6524 LINE NUM
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We are asking children like you to
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WEIGHT, HEIGHT, HAEMOGLOBIN MEASURE
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MAN 1 MAN 2 MAN 3544 LINE NUMBER LI
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211 Now I would like to record the
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SECTION 3. CONTRACEPTION301 Now I w
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SECTION 4. PREGNANCY, POSTNATAL CAR
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LAST BIRTH NEXT-TO- SECOND-FROM-LAS
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SECTION 5. IMMUNIZATION, HEALTH, AN
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LAST BIRTH NEXT-TO-LAST BIRTH SECON
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SECTION 6. MARRIAGE AND SEXUAL ACTI
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LASTSEXUAL PARTNERSECOND-TO-LASTSEX
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SECTION 9. HIV/AIDSNO. QUESTIONS AN
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SECTION 10. OTHER SEXUALLY TRANSMIT
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SECTION 12. MATERNAL MORTALITYNO. Q
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INSTRUCTIONS:ONLY ONE CODE SHOULD A
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SECTION 3. CONTRACEPTION301 Now I w
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LASTSEXUAL PARTNERSECOND-TO-LASTSEX
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SECTION 5. FERTILITY PREFERENCESNO.
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INTERVIEWER'S OBSERVATIONSTO BE FIL
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SECTION 1. RESPONDENT'S BACKGROUNDI
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SECTION 2. CARE AND PROTECTIONNO. Q
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SECTION 4. KNOWLEDGE OF AIDSNO. QUE
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SECTION 1. RESPONDENT'S BACKGROUNDI
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SECTION 4. HIV/AIDSNO. QUESTIONS AN
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SECTION 5. OTHER SEXUALLY TRANSMITT
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