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Spatial analysis at different levels can help understand spatial variation of human immunodeficiency virus (HIV) infection, disease drivers, and targeted interventions. Combining spatial analysis and the evaluation of the determinants of the HIV burden in Southern African countries is essential for a better understanding of the disease dynamics in high-burden settings.The study countries were selected based on the availability of demographic and health surveys (DHS) and corresponding geographic coordinates. We used multivariable regression to evaluate the determinants of HIV burden and assessed the presence and nature of HIV spatial autocorrelation in six Southern African countries.The overall prevalence of HIV for each country varied between 11.3% in Zambia and 22.4% in South Africa. The HIV prevalence rate was higher among female respondents in all six countries. There were reductions in prevalence estimates in most countries yearly from 2011 to 2020. The hotspot cluster findings show that the major cities in each country are the key sites of high HIV burden. Compared with female respondents, the odds of being HIV positive were lesser among the male respondents. The probability of HIV infection was higher among those who had sexually transmitted infections (STI) in the last 12 months, divorced and widowed individuals, and women aged 25 years and older.Our research findings show that analysis of survey data could provide reasonable estimates of the wide-ranging spatial structure of the HIV epidemic in Southern African countries. Key determinants such as individuals who are divorced, middle-aged women, and people who recently treated STIs, should be the focus of HIV prevention and control interventions. The spatial distribution of high-burden areas for HIV in the selected countries was more pronounced in the major cities. Interventions should also be focused on locations identified as hotspot clusters.
Description: The data set contains the data of the parents or guardians of children aged 0 to 11 years. Some of the questions included were the child's biographical data, health status and health questions, male circumcision, education of the child on life issues, infant and child feeding practices as well as school attendance and immunisation records. The data set contains 275 variables and 9667 cases. Refer to the user guide for information regarding guidance relating to data analysis. Abstract: South Africa continues to have the largest number of people living with HIV/AIDS in the World. This study intends to understand the determinants that lead South Africans to be vulnerable and susceptible to HIV. This is the fourth in a series of household surveys conducted by Human Sciences Research council (HSRC), that allow for tracking of HIV and associated determinants over time using a slightly same methodology used in 2002 and 2008 survey, making it the fourth national-level repeat survey. The 2002 and 2005 surveys included individuals aged 2+ years living in South Africa while 2008 and 2012 survey included individuals of all ages living in South Africa, including infants less than 2 years of age. The 2008 study included only four people per household, while in 2012 all members of the households participated. The interval of three years since 2002 allows for an exploration of shifts over time against a complex of demographic and other variables, as well as allowing for investigation of the new areas. The surveys provide the nationally representative HIV incidence estimates showing changes over time. The 2012 study key objectives were: to determine the proportion of PLHIV who are on Antiretroviral treatment (ART) in South Africa; to determine the prevalence and incidence of HIV infection in South Africa in relation to social and behavioural determinants; to determine the proportion of males in South Africa who are circumcised; to investigate the link between social values, and cultural determinants and HIV infection in South Africa; to determine the extent to which mother-child pairs include HIV-negative mothers and HIV-positive infants; to describe trends in HIV prevalence, HIV incidence, and risk behaviour in South Africa over the period 2002 to 2012 collect data on the health conditions of South Africans; and contribute to the analysis of the impact of HIV/AIDS on society. In 2012, of the 15000 selected households or visiting points, 11079 agreed to participate in the survey, 42950 individuals (all household members were included) were eligible to be interviewed, and 38431 individuals completed the interview. Of the 38431 eligible individuals, 28997 agreed to provide a blood specimen for HIV testing and were anonymously linked to the behavioural questionnaires. The household response rate was 87.2% , the individual response rate was 89.5% and the overall response rate for HIV testing was 67.5% From the total of 38431 (89.5%) individuals who completed the interview, 2295 (5.3%) refused to be interviewed, 2224(5.2%) were absent from the household and 2224 (5.2%) were classified as missing/other.
Description: This data set contains information on adults aged 25 years and older: biographical data, media, communication and norms, knowledge and perceptions of HIV/AIDS, male circumcision, sexual debut, partners and partner characteristics, condoms, vulnerability, HIV testing, alcohol and substance use, general perceptions about government, health and violence in the community. The data set contains 516 variables and 10501 cases. Abstract: South Africa continues to have the largest number of people living with HIV/AIDS in the World. This study intends to understand the determinants that lead South Africans to be vulnerable and susceptible to HIV. This is the third in a series of household surveys conducted by Human Sciences Research Council (HSRC), that allow for tracking of HIV and associated determinants over time using a slightly same methodology used in 2002 and 2005 survey, making it the third national-level repeat survey. The 2002 and 2005 surveys included individuals aged 2+ years living in South Africa while 2008 survey included individuals of all ages living in South Africa, including infants younger than 2 years of age. The interval of three years since 2002 allows for an exploration of shifts over time against a complex of demographic and other variables, as well as allowing for investigation of the new areas. The survey provides the first nationally representative HIV incidence estimates. The study key objectives were to: determine the prevalence of HIV infection in South Africa; examine the incidence of HIV infection in South Africa; assess the relationship between behavioural factors and HIV infection in South Africa; describe trends in HIV prevalence, HIV incidence, and risk behaviour in South Africa over the period 2002-2008; investigate the link between social, values, and cultural determinants and HIV infection in South Africa; assess the type and frequency of exposure to major national behavioural change communication programmes and assess their relationship to HIV prevention, AIDS treatment, care, and support; describe male circumcision practices in South Africa and assess its acceptability as a method of HIV prevention; collect data on the health conditions of South Africans; and contribute to the analysis of the impact of HIV/AIDS on society. In the 13440 valid households or visiting points, 10856 agreed to participate in the survey, 23369 individuals (no more than 4 per household, including infants under 2 years) were eligible to be interviewed, and 20826 individuals completed the interview. Of the 23369 eligible individuals, 15031 agreed to provide a blood specimen for HIV testing and were anonymously linked to the behavioural questionnaires. the household response rate was 80.8%, the individual response rate was 89.1% and the overall response rate for HIV testing was 64.3%.
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This dataset is about countries in Africa, featuring 3 columns: country, demonym, and incidence of HIV. The preview is ordered by population (descending).
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In the combined data set five individual data sets were combined, guardians for both infants younger than 2 years and children 2 to 11 years, children 12 to 14 years, youths and adults 15 years and older. The data set contains information on: biographical data, media, communication and norms, knowledge and perceptions of HIV/AIDS, male circumcision, sexual debut, partners and partner characteristics, condoms, vulnerability, HIV testing, alcohol and substance use, general perceptions about government, health and violence in the community. The data set contains 810 variables and 23369 cases. Subsequent to the dissemination of version 1 of this data set it was discovered that the data of the following variables were missing: rq240a - rq240f. This was corrected and additionally two variables without descriptions were removed from the data set. A new data set is disseminated as version 2. South Africa continues to have the largest number of people living with HIV/AIDS in the World. This study intends to understand the determinants that lead South Africans to be vulnerable and susceptible to HIV. This is the third in a series of household surveys conducted by Human Sciences Research Council (HSRC), that allow for tracking of HIV and associated determinants over time using a slightly same methodology used in 2002 and 2005 survey, making it the third national-level repeat survey. The 2002 and 2005 surveys included individuals aged 2+ years living in South Africa while 2008 survey included individuals of all ages living in South Africa, including infants younger than 2 years of age. The interval of three years since 2002 allows for an exploration of shifts over time against a complex of demographic and other variables, as well as allowing for investigation of the new areas. The survey provides the first nationally representative HIV incidence estimates. The study key objectives were to: determine the prevalence of HIV infection in South Africa; examine the incidence of HIV infection in South Africa; assess the relationship between behavioural factors and HIV infection in South Africa; describe trends in HIV prevalence, HIV incidence, and risk behaviour in South Africa over the period 2002-2008; investigate the link between social, values, and cultural determinants and HIV infection in South Africa; assess the type and frequency of exposure to major national behavioural change communication programmes and assess their relationship to HIV prevention, AIDS treatment, care, and support; describe male circumcision practices in South Africa and assess its acceptability as a method of HIV prevention; collect data on the health conditions of South Africans; and contribute to the analysis of the impact of HIV/AIDS on society. In the 13440 valid households or visiting points, 10856 agreed to participate in the survey, 23369 individuals (no more than 4 per household, including infants under 2 years) were eligible to be interviewed, and 20826 individuals completed the interview. Of the 23369 eligible individuals, 15031 agreed to provide a blood specimen for HIV testing and were anonymously linked to the behavioural questionnaires. the household response rate was 80.8%, the individual response rate was 89.1% and the overall response rate for HIV testing was 64.3%.
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Contains data from the World Bank's data portal. There is also a consolidated country dataset on HDX.
Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.
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This dataset is about book subjects and is filtered where the books is Access to conventional schooling for children and young people affected by HIV and AIDS in Sub-Saharan Africa : a cross-national review of recent research evidence. It has 10 columns such as authors, average publication date, book publishers, book subject, and books. The data is ordered by earliest publication date (descending).
In 2021, 1.9 million people in Nigeria were living with HIV. Women were the most affected group, counting 1.1 thousand individuals. Also, children up to age 14 who were HIV positive equaled 170 thousand.
Description: This data set contains information on children aged 12 - 14 years; biographical data; media, communication and norms; knowledge and perceptions of HIV/AIDS; home environment; care and protection; sexual debut; condoms; attitudes and knowledge towards sexual roles; health; and violence in the community. The data set contains 394 variables and 1617 cases. Abstract: South Africa continues to have the largest number of people living with HIV/AIDS in the world. This study intends to understand the determinants that lead South Africans to be vulnerable and susceptible to HIV. This is the second in a series of household surveys conducted by the Human Sciences Research Council (HSRC), that allow for tracking of HIV and associated determinants over time using the same methodology used in the 2002 survey, thus making it the first national-level repeat survey. The interval of three years allows for an exploration of shifts over time against a complex of demographic and other variables, as well as allowing for investigation of the new areas. The survey provides the first nationally representative HIV incidence estimates. The study key objectives were to: Determine HIV prevalence and incidence as well as viral load in the population; Gather data to inform modelling of the epidemic; Identify risky behaviours that predispose the South African population to HIV infection; examine social, behavioural and cultural determinants of HIV; explore the reach of HIV/AIDS communication and the relationship of communication to response; assess the relationship between mental health and HIV/AIDS and establish a baseline; assess public perceptions of South Africans with respect to the provision of anti-retroviral (ARV) therapy for prevention of mother-to-child transmission and for treating people living with HIV/AIDS; understand public perceptions regarding aspects of HIV vaccines; and investigate the extent of the use of hormonal contraception and its relationship to HIV infection. In the 10 584 valid visiting points that agreed to participate in the survey, 24 236 individuals were eligible for interviews and 23 275 completed the interview. Of the 24 236 individuals, 15 851 agreed to HIV testing and were anonymously linked to the behavioural interviews. The household response rate was 84.1 % and the overall response rate for HIV testing was 55 %.
As of 2021, an average of 350,000 people in Ghana were infected with the human immunodeficiency virus (HIV). This was an increase from the previous year, when a total of 340,000 was registered. Generally, people in the country living with the virus increased in number over the years observed. One of the prevalent modes of infection is sexual intercourse. Moreover, HIV remains one of the leading health threats in Africa.
The Population Council is the research partner to DREAMS—a global partnership to reduce HIV infections among adolescent girls and young women (AGYW) in over 10 sub-Saharan African countries and Haiti. DREAMS aims to reduce HIV infections among AGYW. This dataset contains data from two independent cross-sectional surveys with men (aged 20–40 years) interviewed in 2017 and 2018 at community hot spots or HIV service sites in Ethekwini (Durban), South Africa. These data are from a Population Council-led implementation science study to assess HIV risk and service use among male partners of AGYW.
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South Africa ZA: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data was reported at 6.250 Ratio in 2022. This records a decrease from the previous number of 6.730 Ratio for 2021. South Africa ZA: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data is updated yearly, averaging 16.910 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 28.410 Ratio in 1999 and a record low of 5.350 Ratio in 1990. South Africa ZA: Incidence of HIV: per 1,000 Uninfected Population Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Social: Health Statistics. 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.;UNAIDS estimates.;Weighted average;This is an age-disaggregated indicator for Sustainable Development Goal 3.3.1 [https://unstats.un.org/sdgs/metadata/].
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This dataset is about countries in Middle Africa, featuring 3 columns: country, incidence of HIV, and region. The preview is ordered by population (descending).
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Source: Demographic and Health Survey (DHS)Note: The measures use household weights provided by the DHS as well as weights for household size.* The statistics for Kenya, Burkina Faso, Guinea, Mali, and Niger exclude children 15–17 because information on parental co-residence is not available for this age group.** Data from the Kenya 2003 survey are used because information on parental co-residence was not collected in the 2009 survey.Among Children 0–17* Living with HIV-infected Adults, Percent Living with HIV-infected Parents.
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South Africa ZA: Incidence of HIV: per 1,000 Uninfected Population data was reported at 3.150 Ratio in 2022. This records a decrease from the previous number of 3.390 Ratio for 2021. South Africa ZA: Incidence of HIV: per 1,000 Uninfected Population data is updated yearly, averaging 8.440 Ratio from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 12.730 Ratio in 1999 and a record low of 3.150 Ratio in 2022. South Africa ZA: Incidence of HIV: per 1,000 Uninfected Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Social: Health Statistics. Number of new HIV infections among uninfected populations expressed per 1,000 uninfected population in the year before the period.;UNAIDS estimates.;Weighted average;This is the Sustainable Development Goal indicator 3.3.1 [https://unstats.un.org/sdgs/metadata/].
Description: The data set contains data collected from professional and non-professional health workers pertaining to biographical information of respondent, workload, job satisfaction, staff morale, working hours, absence from work during the past year, caring for HIV/AIDS patients, HIV/AIDS-related policies/procedures, fear of transmitting/contracting HIV/AIDS through contact, spouse/colleagues feelings and stigma. There are additional variables in the data set, which include sector, HIV test results and weight.
Abstract: The Nelson Mandela / HSRC study of HIV/AIDS (2002) reported an estimated prevalence of 4.5 million among persons aged two years and older. Given the overall impact of HIV/AIDS on South African society, and the need to make policies on the management of those living with the disease, it was important that studies were undertaken to provide data on the impact on the health system. This study was undertaken by the HSRC in collaboration with the national School of Public Health (NSPH) at the Medical University of South Africa (MEDUNSA) and the Medical Research Council (MRC). It was commissioned by the National Department of Health (DoH) to assess the impact of HIV/AIDS on the health system and to understand its progressive impact over time. The PIs sought to answer the following questions To what extent does HIV/AIDS affect the health system? What aspects or sub-systems are most affected? How is the impact going to progress over time? To answer the questions, a stratified cluster sample of 222 health facilities representative of the public and private sector in South Africa were drawn from the national DoH database on health facilities (1996). A nation-wide, representative sample of 2000 medical professionals including nursing professionals; other categories of nursing staff; other health professionals and non-professional health workers was obtained. In addition to this a representative probability sample of 2000 patients was obtained. Data collection methods included interviews using questionnaires and clinical measurements where either a blood specimen or an oral fluid (Orasure) specimen was collected. An anonymous linked HIV survey was conducted in the Free state, Mpumalanga, North West and Kwazulu-Natal. Oral fluids were tested for HIV antibodies at three different laboratories and results were linked with questionnaire data using barcodes. The health worker questionnaires were divided into professional and nonprofessional health workers although the two questionnaires contained the same set of questions, consisting of the following: Biographical information of respondent, workload, job satisfaction, staff morale, working hours, absence from work during the past year, caring for HIV/AIDS patients, HIV/AIDS-related policies/procedures, fear of transmitting/contracting HIV/AIDS through contact, spouse/colleagues feelings and stigma.
All child patients (younger than 15 years) in public and private health facilities in South Africa. (Note: In hospitals only patients in medical and paediatric wards were included.).
The “Eligibility List” for the 2014 Round of the HIV Surveillance used 11 December 2014 as its reference date. The criteria for inclusion were all males and females aged 15 and over. The total number eligible is 36,970, so this is the number of rows in the dataset. The field visits occur from January 2014 to December 2014. At the time of visit some people included in the Eligibility List were found to in fact be ineligible - perhaps because they were dead, very sick, or had outmigrated - events either not known about at the time the Eligibility List was compiled, or occurring between the drawing up of the Eligibility List and the actual visit. These 'retrospective ineligibilities' are identifiable in the dataset as 'Premature Completions' with reasons such as “Death or “Outmigration”. There were also some individuals who could not be contacted, even after repeated visits and 'tracking' attempts for those who were reported to have moved. These are identifiable as PrematureCompletionReason = Non-Contact. Additionally, some people were contacted but refused to participate in the survey. They are identifiable by VisitType = Refusal. Finally, there are some who participated in the survey, but refused the HIV test offered. They are identifiable as HIVRefused = 'Y'. Individual Surveillance forms were redesigned in 2013. No questions were added or removed, but the BMF form was renamed as IHO - Individual Health Observation (image below). The Informed Consent questions, formerly on the CFZ form, were incorporated into the IHO form, and some of the questions previously on the BMF form were moved to the MGH/WGH forms. Finally, visit details and Premature Completion / refusal information is now collected just once on the IHO, not separately on both BMF and WGH/MGH.
Individuals
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This dataset is about countries in Africa per year, featuring 4 columns: country, date, incidence of HIV, and male population. The preview is ordered by date (descending).
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People living with HIV Number of people living with HIV-Population
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Spatial analysis at different levels can help understand spatial variation of human immunodeficiency virus (HIV) infection, disease drivers, and targeted interventions. Combining spatial analysis and the evaluation of the determinants of the HIV burden in Southern African countries is essential for a better understanding of the disease dynamics in high-burden settings.The study countries were selected based on the availability of demographic and health surveys (DHS) and corresponding geographic coordinates. We used multivariable regression to evaluate the determinants of HIV burden and assessed the presence and nature of HIV spatial autocorrelation in six Southern African countries.The overall prevalence of HIV for each country varied between 11.3% in Zambia and 22.4% in South Africa. The HIV prevalence rate was higher among female respondents in all six countries. There were reductions in prevalence estimates in most countries yearly from 2011 to 2020. The hotspot cluster findings show that the major cities in each country are the key sites of high HIV burden. Compared with female respondents, the odds of being HIV positive were lesser among the male respondents. The probability of HIV infection was higher among those who had sexually transmitted infections (STI) in the last 12 months, divorced and widowed individuals, and women aged 25 years and older.Our research findings show that analysis of survey data could provide reasonable estimates of the wide-ranging spatial structure of the HIV epidemic in Southern African countries. Key determinants such as individuals who are divorced, middle-aged women, and people who recently treated STIs, should be the focus of HIV prevention and control interventions. The spatial distribution of high-burden areas for HIV in the selected countries was more pronounced in the major cities. Interventions should also be focused on locations identified as hotspot clusters.