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![]() | Algeria |
![]() | Angola |
![]() | Benin |
![]() | Botswana |
![]() | Burkina Faso |
![]() | Burundi |
![]() | Cameroon |
![]() | Cape Verde |
![]() | Central African Rep |
![]() | Chad |
![]() | Comoros |
![]() | Congo |
![]() | Côte d’Ivoire |
![]() | Djibouti |
![]() | DRC |
![]() | Egypt |
![]() | Equatorial Guinea |
![]() | Eritrea |
![]() | Eswatini |
![]() | Ethiopia |
![]() | Gabon |
![]() | Gambia |
![]() | Ghana |
![]() | Guinea |
![]() | Guinea-Bissau |
![]() | Kenya |
![]() | Lesotho |
![]() | Liberia |
![]() | Libya |
![]() | Madagascar |
![]() | Malawi |
![]() | Mali |
![]() | Mauritania |
![]() | Mauritius |
![]() | Morocco |
![]() | Mozambique |
![]() | Namibia |
![]() | Niger |
![]() | Nigeria |
![]() | Rwanda |
![]() | SADR |
![]() | São Tomé and Príncipe |
![]() | Senegal |
![]() | Seychelles |
![]() | Sierra Leone |
![]() | Somalia |
![]() | South Africa |
![]() | South Sudan |
![]() | Sudan |
![]() | Tanzania |
![]() | Togo |
![]() | Tunisia |
![]() | Uganda |
![]() | Zambia |
![]() | Zimbabwe |
![]() | Reproductive, Maternal, Neonatal and Child Health |
![]() | Adolescent Fertility Rate |
![]() | Births Attended by Skilled Personnel |
![]() | Contraceptive Prevalence |
![]() | Infant Mortality Rate |
![]() | DPT3 Immunization Coverage in Children |
![]() | Maternal Mortality Ratio |
![]() | Neonatal Mortality Rate |
![]() | Pregnant Women with 4 ANC Visits |
![]() | Stunting Under 5 yrs |
![]() | Under-5 Mortality Rate |
![]() | Unmet Need for Family Planning |
![]() | Women Who Received Post-partum Care |
![]() | HIV and AIDS |
![]() | Adults Tested for HIV and Know Status |
![]() | HIV Knowledge (Men aged 15-24 yrs) |
![]() | HIV Knowledge (Women aged 15-24 yrs) |
![]() | HIV Patients Receiving Anti-retroviral Drugs |
![]() | HIV Positive Pregnant Women who Receive Antiretrovirals |
![]() | HIV and TB Treatment |
![]() | HIV Prevalence (Females 15-24 yrs) |
![]() | Pregnant Women Tested for HIV and Know Status |
![]() | School Attendance of Orphans |
![]() | Condom Use |
![]() | Malaria and Tuberculosis |
![]() | Malaria Incidence |
![]() | Malaria Deaths |
![]() | Pregnant Women who Received 3 Doses of IPT |
![]() | Under 5s Treated with Anti-Malarial Drugs |
![]() | Under 5s who Slept Under ITN |
![]() | Under 5s with Fever in Last 2 Weeks Screened for Malaria |
![]() | TB Case Detection Rate |
![]() | TB Treatment Success Rate |
![]() | Health Finance |
![]() | General Gov Exp on Health as % of GGE |
![]() | Out of Pocket Health Expenditure |
![]() | Per Capita Public Funds for Health |
Full Name: | Percentage of estimated HIV-positive incident TB cases that received treatment for TB and HIV |
Full Unit: | Percentage (%) |
Year-range of Data: | 2012 - 2013 |
Source: | UNAIDS AIDSinfo |
Link : | http://aidsinfo.unaids.org/ |
Date Source Published: | 4th December 2015 |
Date Source Accessed: | 11th May 2016 |
![]() | The following countries had no data: |
This is an estimation of the incidence of Tuberculosis (TB) cases in people living with HIV. It is calculated by dividing the number of adults and children with HIV infection currently receiving antiretroviral therapy (in accordance with WHO/UNAIDS standards) and who were started on TB treatment (in accordance with TB programme guidelines) by the estimated number of incident TB cases in people living with HIV.
Tuberculosis (TB) is one of the most common causes of morbidity and mortality in people living with HIV (irrespective of if they take antiretroviral therapy). HIV/AIDS is the single most important factor in risk of developing TB. TB case finding is essential for improving the quality and length of life for those living with HIV/AIDS by ensuring early detection and treatment. Programmes that prevent and control HIV/AIDS should therefore be closely linked with those that prevent and control TB.
This data is reported by National AIDS Control Programmes to the World Health Organization. It is collected from HIV treatment (pre-ART and ART) registers in health facilities and summarised in quarterly reports, or from programme monitoring tools.
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Alternative Data Sources
The data for each indicator on African Health Stats (AHS) are published by the UN agency, or UN inter-agency group, which holds responsibility for global monitoring of the indicator. This varies by indicator. Please refer to ‘Data Source’. AHS uses data from these sources because such data are internationally comparable and it is the mandate of those agencies to prepare such data and monitor progress internationally. In some cases the UN agency has made adjustments to the data in order to make national data internationally comparable, for example they may adjust national estimates to account for differences in survey design, the extent of potential underreporting, and the definition of what is being measured (eg. maternal deaths). This means that at times there may be discrepancies between national and international estimates. Individual countries may prefer to instead rely on national figures for national monitoring. For uniformity, AHS uses only international estimates of the UN agencies in data visualisations.
In 2014, the following countries communicated that they use alternative figures to monitor the indicator HIV and TB Treatment instead of the figures that appear in AHS data visualisations. The most recent alternative figure supplied by these countries in 2014, by source are: NA.
Collection Summary
This data is reported by National AIDS Control Programmes to the World Health Organization. It is collected from HIV treatment (pre-ART and ART) registers in health facilities and summarised in quarterly reports, or from programme monitoring tools.
For further information, download the Global AIDS Response Progress Reporting 2015: http://www.unaids.org/sites/default/files/media_asset/JC2702_GARPR2015guidelines_en.pdf