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FANRPAN HIV & AIDS Database

FANRPAN HIV & AIDS Database. Lindiwe Majele Sibanda Linds@ecoweb.co.zw Linds@mweb.co.za. Background to the Database. Developed using Epi Info 2000, using Microsoft Access Database Developed from national level SPSS databases Has 167 variables and 1930 records from 7 countries.

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FANRPAN HIV & AIDS Database

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  1. FANRPAN HIV & AIDS Database Lindiwe Majele Sibanda Linds@ecoweb.co.zw Linds@mweb.co.za

  2. Background to the Database • Developed using Epi Info 2000, using Microsoft Access Database • Developed from national level SPSS databases • Has 167 variables and 1930 records from 7 countries. • Variables have household data on demographics, health, income, expenditure and impacts of HIV and AIDS. • Analysis carried out at country and regional levels. • Integrated framework within Epi Info allows for analysis and reporting.

  3. Variables tracked

  4. Variables tracked (ctd)

  5. Example of variables collected: demographics

  6. Example of variables collected: impacts

  7. Emerging results • HIV and AIDS has led to a decline in agricultural productivity: • Mean household size was 6.1 • About 5% of all households where headed by children under 18years(The figures were 6.4% for Botswana, 3.9% for Lesotho, 1% for Namibia, 1% for South Africa, 2.5% for Swaziland, 6% for Zambia and 3.8% for Zimbabwe) • 30 % of households had 3 or more dependents. Of these, Zambian, South African and Namibian households had the largest numbers. • 65% of Households reported field sizes of under 2 ha. There was no correlation between field size and amount of fertilizer used. • 18.2 % of Households reported that HIV and AIDS illnesses and funerals deprived them of farming time. • 75% of households have a dependency ratio greater than 1. ie have more dependents than economically active members.

  8. Emerging results 2. Reduces number and quality of livestock • 65.2 % of households own less that four head of cattle as follows: • Lesotho 87.5 • Namibia 21.8 • South Africa 97.9 • Swaziland 1.5 • Zimbabwe 92.2

  9. Emerging results • 4. Increases morbidity of HH members: • 70% of 571 households reported at least one serious illness in the last three years. 51.3% indicated an illness associated with HIV/AIDS.

  10. Emerging results • 3: Reduces participation in the market: • 57.2% of households own at least one head of cattle, 11% ever sold a beast in the last year. • 9% of households that ever sold a head of cattle now have none. • 65.4% of households grew maize, and 44% sold the crop. Median Revenues were in the order of less that 100 Pula for Botswana,less than 100 Maluti for Lesotho, less that N$100 for Namibia, and ess than Z$60,000 for Zimbabwe. • This indicates that there is increased participation in the market, but more households are becoming impoverished! Households are selling the little they have to meet urgent needs.

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