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HIV Prevalence Patterns by Age and sex: Exploring Differences among 19 Countries
Chaitra Gopalappa, John Stover & Carel Pretorius
ICF International Calverton, Maryland, USA
(2013)
C2
DHS Analytical Studies No. 40
DHS Working Papers No. 85
DHS Working Papers No. 111 | Zimbabwe Working Papers No. 12
HIV Prevalence: Data from the 2010 Rwanda Demographic and Health Survey.
Tokar A, et al. Sex Transm Infect 2019;95:193–200. doi:10.1136/sextrans-2018-053684
Since 2001, several Demographic and Health Surveys (DHS) include HIV
testing. For many countries, in particular in sub-Saharan Africa, DHS are
the only national source of data in general population. Several DHS collect
latitude and longitude of s
...
urveyed clusters but the sampling method is not
appropriate to derive local estimates: sample size is not large enough for a
direct spatial interpolation.
We developed a generic approach to map spatial regional trends of HIV
prevalence from DHS. We present how our results from Burkina Faso 2003
DHS shed new light on HIV epidemics.
more
Journal of Microbiology and Infectious Diseases / 2015; 5 (3): 110-113
JMID, doi: 10.5799/ahinjs.02.2015.03.0187
J Infect Dev Ctries 2023; 17(7):1022-1029. doi:10.3855/jidc.15105
Opportunistic co-infections are more prevalent in HIV-infected patients with a CD4 + cell count of < 200 cells/mm3, poor drug adherence, and also associated with the occupation. So, regular examination and appropriate medication can reduce the
...
prevalence of opportunistic co-infections.
more
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory resu
...
lts, we examined how accounting for potential misclassification of HIV status through Bayesian latent class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
more
Malaria and HIV, two of the world’s most deadly diseases, are widespread, but their distribution overlaps greatly in sub-Saharan Africa. Consequently, malaria and HIV coinfection (MHC) is common i
...
n the region. In this paper, pertinent publications on the prevalence, impact, and treatment strategies of MHC obtained by searching major electronic databases (PubMed, PubMed Central, Google Scholar, ScienceDirect, and Scopus) were reviewed, and it was found that the prevalence of MHC in SSA was 0.7%–47.5% overall. Prevalence was 0.7%–47.5% in nonpregnant adults, 1.2%–27.8% in children, and 0.94%–37% in pregnant women. MHC was associated with an increased frequency of clinical parasitemia and severe malaria, increased parasite and viral load, and impaired immunity to malaria in nonpregnant adults, children, and pregnant women, increased in placental malaria and related outcomes in pregnant women, and impaired antimalarial drug efficacy in nonpregnant adults and pregnant women. Although a few cases of adverse events have been reported in coinfected patients receiving antimalarial and antiretroviral drugs concurrently, available data are very limited and have not prompted major revision in treatment guidelines for both diseases. Artemisinin-based combination therapy and cotrimoxazole are currently the recommended drugs for treatment and prevention of malaria in HIV-infected children and adults. However, concurrent administration of cotrimoxazole and sulfadoxine–pyrimethamine in HIV-infected pregnant women is not recommended, because of high risk of sulfonamide toxicity. Further research is needed to enhance our understanding of the impact of malaria on HIV, drug–drug interactions in patients receiving antimalarials and antiretroviral drugs concomitantly, and the development of newer, safer, and more cost-effective drugs and vaccines to prevent malaria in HIV-infected pregnant women.
more
Int. J. Transl. Med. 2023, 3(2), 187-202; https://doi.org/10.3390/jtm3020014 .
Malaria and HIV are geographically in the tropics and subtropics of the world, including sub-Saharan Africa. Understanding the overlapping effect of both infections, esp
...
ecially among pregnant women, is crucial in managing pregnant women during antenatal care visits, and postpartum babies. It was realized that the prevalence of malaria among HIV-positive pregnant women ranges between 31–61%, while for non-HIV infected pregnant women the prevalence still stands between 10 and 36%. Co-infection is between 0.52 and 56.3%.
more
