Africa Eastern and Southern | Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period. Development relevance: Despite the existence of effective medications and treatment, HIV/AIDS is still a leading cause of death and public health threat in the world. Low and middle income countries continue to bear a disproportionate share of the global burden of HIV/AIDS. The incidence rate provides a measure of progress toward preventing onward transmission of HIV. Also, the identification of newly infected persons will allow for interventions to reduce the risk of HIV transmission. Statistical concept and methodology: Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data.
Publisher
The World Bank
Origin
Africa Eastern and Southern
Records
63
Source
Africa Eastern and Southern | Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
| year |
value
Min
Max
|
|---|---|
| 1960 | |
| 1961 | |
| 1962 | |
| 1963 | |
| 1964 | |
| 1965 | |
| 1966 | |
| 1967 | |
| 1968 | |
| 1969 | |
| 1970 | |
| 1971 | |
| 1972 | |
| 1973 | |
| 1974 | |
| 1975 | |
| 1976 | |
| 1977 | |
| 1978 | |
| 1979 | |
| 1980 | |
| 1981 | |
| 1982 | |
| 1983 | |
| 1984 | |
| 1985 | |
| 1986 | |
| 1987 | |
| 1988 | |
| 1989 | |
| 1990 | 7.63481176 |
| 1991 | 8.40488644 |
| 1992 | 8.94953237 |
| 1993 | 9.24409577 |
| 1994 | 9.27288381 |
| 1995 | 9.10152764 |
| 1996 | 8.78188839 |
| 1997 | 8.47579375 |
| 1998 | 8.11368511 |
| 1999 | 7.75036947 |
| 2000 | 7.36426003 |
| 2001 | 7.00974192 |
| 2002 | 6.62473065 |
| 2003 | 6.22192442 |
| 2004 | 5.85200606 |
| 2005 | 5.49039758 |
| 2006 | 5.16733347 |
| 2007 | 4.87494149 |
| 2008 | 4.58447343 |
| 2009 | 4.35831846 |
| 2010 | 4.12004487 |
| 2011 | 3.87310416 |
| 2012 | 3.62293434 |
| 2013 | 3.32937169 |
| 2014 | 3.05608656 |
| 2015 | 2.8022693 |
| 2016 | 2.55345261 |
| 2017 | 2.25935995 |
| 2018 | 1.98075626 |
| 2019 | 1.74632795 |
| 2020 | 1.54159664 |
| 2021 | 1.40620149 |
| 2022 |
Africa Eastern and Southern | Incidence of HIV, ages 15-24 (per 1,000 uninfected population ages 15-24)
Number of new HIV infections among uninfected populations ages 15-24 expressed per 1,000 uninfected population ages 15-24 in the year before the period. Development relevance: Despite the existence of effective medications and treatment, HIV/AIDS is still a leading cause of death and public health threat in the world. Low and middle income countries continue to bear a disproportionate share of the global burden of HIV/AIDS. The incidence rate provides a measure of progress toward preventing onward transmission of HIV. Also, the identification of newly infected persons will allow for interventions to reduce the risk of HIV transmission. Statistical concept and methodology: Data on incidence of HIV are from the Joint United Nations Programme on HIV/AIDS. Because of challenges in collecting direct measures of HIV incidence, modelled estimates are used (the Spectrum software). The models incorporate data on HIV prevalence from surveys of the general population, antenatal clinic attendees, and populations at increased risk of contracting HIV (such as sex workers, men who have sex with men, and people who inject drugs) and on the number of people receiving antiretroviral therapy, which will increase the prevalence of HIV because people living with HIV now survive longer. In countries with high-quality health information systems the models are also informed by case reporting and vital registration data.
Publisher
The World Bank
Origin
Africa Eastern and Southern
Records
63
Source