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.

East Africa HBsAg Hepatitis B Predictors Prevalence

Journal

Archives of public health = Archives belges de sante publique
ISSN: 0778-7367
Titre abrégé: Arch Public Health
Pays: England
ID NLM: 9208826

Informations de publication

Date de publication:
18 Sep 2021
Historique:
received: 20 03 2021
accepted: 02 09 2021
entrez: 19 9 2021
pubmed: 20 9 2021
medline: 20 9 2021
Statut: epublish

Résumé

The 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. 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 I 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). 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.

Sections du résumé

BACKGROUND BACKGROUND
The 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 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 I
RESULTS 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 CONCLUSIONS
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.

Identifiants

pubmed: 34537079
doi: 10.1186/s13690-021-00686-1
pii: 10.1186/s13690-021-00686-1
pmc: PMC8449462
doi:

Types de publication

Journal Article

Langues

eng

Pagination

167

Informations de copyright

© 2021. The Author(s).

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Auteurs

Hussein Mukasa Kafeero (HM)

Department of Medical Microbiology, Faculty of Health Sciences, Habib Medical School, Islamic University in Uganda, P.O. Box 7689, Kampala, Uganda. husseinmukasakafeero@gmail.com.
Department of Medical Microbiology, College of Health Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda. husseinmukasakafeero@gmail.com.

Dorothy Ndagire (D)

Department of Plant Sciences, Microbiology and Biotechnology, College of Natural Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda.

Ponsiano Ocama (P)

Department of Medicine, College of Health Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda.

Ali Kudamba (A)

Department of Human Physiology, Faculty of Health Sciences, Habib Medical School, Islamic University in Uganda, P.O. Box 7689, Kampala, Uganda.

Abdul Walusansa (A)

Department of Medical Microbiology, Faculty of Health Sciences, Habib Medical School, Islamic University in Uganda, P.O. Box 7689, Kampala, Uganda.

Hakim Sendagire (H)

Department of Medical Microbiology, Faculty of Health Sciences, Habib Medical School, Islamic University in Uganda, P.O. Box 7689, Kampala, Uganda.
Department of Medical Microbiology, College of Health Sciences, Makerere University, P.O. Box 7062, Kampala, Uganda.

Classifications MeSH