HIV/AIDS in Africa - Measurement

Measurement

Prevalence measures include everyone living with HIV and AIDS, and present a delayed representation of the epidemic by aggregating the HIV infections of many years. Incidence, in contrast, measures the number of new infections, usually over the previous year. There is no practical, reliable way to assess incidence in sub-Saharan Africa. Prevalence in 15–24 year old pregnant women attending antenatal clinics is sometimes used as an approximation. The test done to measure prevalence is a serosurvey in which blood is tested for the presence of HIV.

Health units that conduct serosurveys rarely operate in remote rural communities, and the data collected also does not measure people who seek alternate healthcare. Extrapolating national data from antenatal surveys relies on assumptions which may not hold across all regions and at different stages in an epidemic.

Recent national population or household-based surveys collecting data from both sexes, pregnant and non-pregnant women, and rural and urban areas, have adjusted the recorded national prevalence levels for several countries in Africa and elsewhere. These, too, are not perfect: people may not participate in household surveys because they fear they may be HIV positive and do not want to know their test results. Household surveys also exclude migrant labourers, who are a high risk group.

Thus, there may be significant disparities between official figures and actual HIV prevalence in some countries.

A minority of scientists claim that as many as 40% of HIV infections in African adults may be caused by unsafe medical practices rather than by sexual activity. The World Health Organization states that about 2.5% of AIDS infections in sub-Saharan Africa are caused by unsafe medical injection practices and the "overwhelming majority" by unprotected sex.

Read more about this topic:  HIV/AIDS In Africa

Famous quotes containing the word measurement:

    That’s the great danger of sectarian opinions, they always accept the formulas of past events as useful for the measurement of future events and they never are, if you have high standards of accuracy.
    John Dos Passos (1896–1970)