Streamlining Global and Local Data on HIV: Underscoring Role of Institutions and Ethics in Improving Quality of HIV Research.

OBJECTIVES: There are inconsistencies in the South Africa HIV mortality data reported by Institute of Health Metrics and Evaluation (IHME), Joint United Nations Programme on HIV/AIDS (UNAIDS), and Statistics South Africa (StatsSA) platforms. Between 2006 and 2016, these global data sets (IHME and UNAIDS) show that HIV-related mortalities were improving in South Africa, whereas StatsSA argues the opposite. We explain the causes of this differing stands and highlight areas that may be improved to address such inconsistencies. METHODS: This observational analysis uses data from IHME, UNAIDS, and StatsSA platforms. RESULTS: We demonstrate that IHME and UNAIDS data sets are based on a mathematical compartmental model, which is not dynamic to all HIV epidemiological aspects. Such limitation may cause inflated improvement in HIV mortality outcomes that are not in line with HIV mortality evidence recorded at the household level as demonstrated by StatsSA. CONCLUSION: There is a need to streamline the IHME, UNAIDS, and StatsSA data on HIV to improve the quality of HIV research and programming in South Africa.

Growth parameters and childhood epilepsy in Hai District, Tanzania: a community-based study.

AIM: This cross-sectional study examined whether growth parameters were associated with epilepsy in children living in a rural community in sub-Saharan Africa (SSA). MATERIALS AND METHODS: A cross-sectional study was performed in the Hai District Demographic Surveillance Site (HDSS), Tanzania in which 6-14 year old children with epilepsy (CWE) were identified. Age matched controls were randomly selected from the Hai census database for comparison. Anthropometric measurements were used to assess the nutritional status of the children and body mass index (BMI) calculated. Associations between social, demographic and nutritional factors and epilepsy were assessed using multivariable logistic regression. RESULTS: 112 CWE were identified and were compared with 113 controls. There was no significant difference in the BMI between cases and controls (T-test, p-value of 0.117). Amongst cases, there were no significant associations between BMI and motor difficulties, antiepileptic drug use, cognitive or behavioural problems, early-onset epilepsy or seizure frequency. In the whole group, BMI was significantly associated with socio-economic status (p=0.037) and age. DISCUSSION: There was no significant difference found between CWE and matched controls with respect to nutritional status. This suggests that there is no causal association between under nutrition and epilepsy in this community. Nutritional assessment is still important as part of the comprehensive care of CWE.