Modelling the prevalence of hepatitis C virus amongst blood donors in Libya: An investigation of providing a preventive strategy

Hepatitis C in North Africa: A Comprehensive Review of Epidemiology, Genotypic Diversity, and Hepatocellular Carcinoma

Hepatitis C virus (HCV) is implicated in carcinogenic infections like hepatocellular carcinoma (HCC). Given that no HCV vaccine is currently available, comprehensive epidemiological understanding is crucial for devising effective prevention strategies. In North Africa, existing data on HCV infection and HCV-associated HCC are frequently outdated or limited to specific populations. This systematic review aims to offer new insights into the epidemiology of HCV infection, HCV genotype distribution, and HCV-related HCC in this region. We collected data from electronic databases: PubMed, ScienceDirect, ResearchGate, Google Scholar, and public health reports between 1989 and 2023. We reported the studies carried out in each country in general populations and in groups exposed to HCV infection. Our results show that HCV prevalence varies from 0.5% to 4.61% among the general populations in North African countries. HCV genotype 1 remains the most dominant in the Greater Maghreb region, while genotype 4 is the most dominant in the Nile Valley region. HCC incidence varies between the five countries, and HCV is responsible for 60% of cases, with male dominance. Egypt had the highest number of deaths from HCV-associated HCC. Other factors such as HBV, diabetes, and alcohol use are also responsible for HCC in North Africa. Urban growth and socioeconomic changes have impacted HCV prevalence in the North African region, especially among rural populations, and introduced new risks, such as coinfections and Type 2 diabetes. Here, we propose some recommendations for HCV control and management by patient category in North Africa.

Spatiotemporal analysis and hotspots detection of COVID-19 using geographic information system (March and April, 2020)

Understanding the spatial distribution of coronavirus disease 2019 (COVID-19) cases can provide valuable information to anticipate the world outbreaks and in turn improve public health policies. In this study, the cumulative incidence rate (CIR) and cumulative mortality rate (CMR) of all countries affected by the new corona outbreak were calculated at the end of March and April, 2020. Prior to the implementation of hot spot analysis, the spatial autocorrelation results of CIR were obtained. Hot spot analysis and Anselin Local Moran's I indices were then applied to accurately locate high and low-risk clusters of COVID-19 globally. San Marino and Italy revealed the highest CMR by the end of March, though Belgium took the place of Italy as of 30th April. At the end of the research period (by 30th April), the CIR showed obvious spatial clustering. Accordingly, southern, northern and western Europe were detected in the high-high clusters demonstrating an increased risk of COVID-19 in these regions and also the surrounding areas. Countries of northern Africa exhibited a clustering of hot spots, with a confidence level above 95%, even though these areas assigned low CIR values. The hot spots accounted for nearly 70% of CIR. Furthermore, analysis of clusters and outliers demonstrated that these countries are situated in the low-high outlier pattern. Most of the surveyed countries that exhibited clustering of high values (hot spot) with a confidence level of 99% (by 31st March) and 95% (by 30th April) were dedicated higher CIR values. In conclusion, hot spot analysis coupled with Anselin local Moran's I provides a scrupulous and objective approach to determine the locations of statistically significant clusters of COVID-19 cases shedding light on the high-risk districts.

The geographic variation and spatiotemporal distribution of hepatitis C virus infection in Libya: 2007-2016

BACKGROUND

Hepatitis C Virus infection has been considered an important hidden pandemic in developing countries, particularly in Africa. It varies greatly from one region to another and even within districts of the same region. Macroscopic geospatial analysis has become an important scientific tool for identifying the density and clustering of HCV infection and provides epidemiological information for planning interventions and control strategies. The application of these parameters provides a better knowledge of the hepatitis C virus infection prevalence at the national level and can help to implement pertinent strategies to address the HCV-related burdens. This study aims to determine the geographical variability of HCV infection in Libya and to identify the hot spots within regions and districts of the country, and to analyze the population-based demographic determinants involved and outline the intervention programs needed.

METHODS

Disease mapping and spatial analysis were conducted using geographic information data available on all documented cases of HCV infections in Libya between 2007 and 2016. Spatial autocorrelation was tested using Moran's Index, which determines and measures the degree of clustering and dispersion of HCV infection in a country.

RESULTS

A total 114,928 HCV infection cases during a ten-year period with accurate geographic information were studied. Ages ranged between 16 and 50 years and the male to female ratio was 2:1. HCV infection was unevenly distributed in Libya, and its incidence increased steadily over the study period. Several hot spots and cold spots were found mainly in the southern and eastern regions of the country.

CONCLUSION

HCV infection in Libya was geographically variable, with several hot spots particularly in eastern and southern Libya associated with different demographic determinants. Future intervention planning should consider the geospatial variability and risk factors involved.

Geographic integration of hepatitis C virus: A global threat

AIM

To assess hepatitis C virus (HCV) geographic integration, evaluate the spatial and temporal evolution of HCV worldwide and propose how to diminish its burden.

METHODS

A literature search of published articles was performed using PubMed, MEDLINE and other related databases up to December 2015. A critical data assessment and analysis regarding the epidemiological integration of HCV was carried out using the meta-analysis method.

RESULTS

The data indicated that HCV has been integrated immensely over time and through various geographical regions worldwide. The history of HCV goes back to 1535 but between 1935 and 1965 it exhibited a rapid, exponential spread. This integration is clearly seen in the geo-epidemiology and phylogeography of HCV. HCV integration can be mirrored either as intra-continental or trans-continental. Migration, drug trafficking and HCV co-infection, together with other potential risk factors, have acted as a vehicle for this integration. Evidence shows that the geographic integration of HCV has been important in the global and regional distribution of HCV.

CONCLUSION

HCV geographic integration is clearly evident and this should be reflected in the prevention and treatment of this ongoing pandemic.

Hepatitis C Virus in North Africa: An Emerging Threat

Hepatitis C virus is a major public health threat associated with serious clinical consequences worldwide. North Africa is a unique region composed of seven countries that vary considerably in the predisposing factors to microbial diseases both historically and at the present time. The dynamics of HCV in the region are not well documented. The data are both limited and controversial in most of the countries in the region. In North Africa, the epidemiology of HCV is disparate and understanding it has been hampered by regional "epidemiological homogeneity" concepts. As the dynamics of HCV vary from country to country, context-specific research is needed. In this review, we assess studies performed in each country in the general populations as well as among blood donors and groups exposed to the HCV infection. The reported prevalence of HCV ranges from 0.6% to 8.4% in the Maghreb countries and is predominated by genotype 1. In the Nile valley region, it ranges from 2.2% to 18.9% and is dominated by genotype 4. In North African countries, HCV seems to be a serious problem that is driven by different vectors even in different geographical locations within the same country. Efforts should be combined at both the national and regional levels to implement efficient preventive and treatment strategies.