Prevalence and predictors of hepatitis B virus (HBV) infection in east Africa: evidence from a systematic review and meta-analysis of epidemiological studies published from 2005 to 2020

Simple item page
dc.contributor.authorMukasa Kafeero, Hussein
dc.contributor.authorNdagire, Dorothy
dc.contributor.authorOcama, Ponsiano
dc.contributor.authorKudamba, Ali
dc.contributor.authorWalusansa, Abdul
dc.contributor.authorSendagire, Hakim
dc.date.accessioned2022-07-29T19:22:40Z
dc.date.available2022-07-29T19:22:40Z
dc.date.issued2021
dc.description.abstractThe epidemiology of hepatitis B virus (HBV) in the general population in east Africa is not well documented. In this meta-analysis, we examined 37 full published research articles to synthesise up-to-date data on the prevalence and predictors of the HBV burden for the effective prevention and management of the virus in our region. Methods: We examined 37 full published research articles found using PubMed, Scopus, African Journal Online (AJOL), and Google Scholar between May and October 2020. Dichotomous data on HBV prevalence and predictors of infection were extracted from the individual studies. The HBV prevalence, test of proportion, relative risk, and I2 statistics for heterogeneity were calculated using MedCalc software version 19.1.3. Begg’s tests was used to test for publication bias. Sources of heterogeneity were analysed through sensitivity analysis, meta-regression, and subgroup analysis at 95% CI. P < 0.05 was considered significant for all analyses. Results: The prevalence of HBV was generally high (6.025%), with publications from Kenya (8.54%), Uganda (8.454%) and those from between 2011 and 2015 (8.759%) reporting the highest prevalence (P < 0.05). Blood transfusion, scarification, promiscuity, HIV seropositivity, and being male were independent predictors significantly associated with HBV infection (P < 0.05), with the male sex being the most strongly associated predictor of HBV infection. Meta-regressions for the pooled HBV prevalence and sample size, as well as the year of publication, lacked statistical significance (P > 0.05). Omitting the study with the largest sample size slightly increased pooled HBV prevalence to 6.149%, suggesting that the studies are robust. Begg’s test showed no evidence of publication bias for overall meta-analysis (p > 0.05). Conclusion: The burden of HBV is still high, with the male sex, blood transfusion, body scarification, and HIV seropositivity being potential predictors of infection. Thus, it is important to scale up control and prevention measures targeting persons at high risk.en_US
dc.identifier.citationKafeero, H. M., Ndagire, D., Ocama, P., Kudamba, A., Walusansa, A., & Sendagire, H. (2021). Prevalence and predictors of hepatitis B virus (HBV) infection in east Africa: evidence from a systematic review and meta-analysis of epidemiological studies published from 2005 to 2020. Archives of Public Health, 79(1), 1-19. https://doi.org/10.1186/s13690-021-00686-1en_US
dc.identifier.urihttps://doi.org/10.1186/s13690-021-00686-1
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/4235
dc.language.isoenen_US
dc.publisherArchives of Public Healthen_US
dc.subjectEast Africaen_US
dc.subjectHepatitis Ben_US
dc.subjectPrevalenceen_US
dc.subjectHBsAgen_US
dc.subjectPredictorsen_US
dc.titlePrevalence and predictors of hepatitis B virus (HBV) infection in east Africa: evidence from a systematic review and meta-analysis of epidemiological studies published from 2005 to 2020en_US
dc.typeArticleen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Prevalence and predictors of hepatitis B.pdf
Size:
4 MB
Format:
Adobe Portable Document Format
Description:
Article
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Medical and Health Sciences