Systematic Quantitative Data Synthesis of Dietary Aflatoxin-Induced Hepatocellular Carcinoma in Ghana and Nigeria

This file compiles a focused collection of studies on mycotoxin contamination in food products, with a strong emphasis on Nigeria and Ghana. The included metadata encompasses key publication details: author names, publication years, journal titles, citation counts, and direct access via DOI links. Beyond bibliographic information, the file presents valuable dietary consumption data, detailed aflatoxin concentration levels across diverse food categories, and sophisticated statistical exposure models that assess associated health risks, notably the burden of liver cancer attributed to aflatoxin exposure.
The dataset features investigations into mycotoxin prevalence within a range of food staples and consumables, including cereals, legumes, fermented foods, dried beef, dairy products, and common household snacks. These studies employ rigorous research methodologies, such as liquid chromatography, mass spectrometry, and microbial analysis, to accurately quantify contamination levels. Several studies further explore consumer awareness regarding mycotoxins and the existing regulatory landscape for managing exposure.
In addition, the file incorporates risk assessment models that provide probabilistic estimations of aflatoxin intake based on established food consumption patterns. These models integrate exposure distributions, projected cancer risks, and calculations of population-level burden, offering a nuanced understanding of risk variations across age groups and gender. Advanced statistical methods, including lognormal distribution and Pareto models, are applied to analyze aflatoxin-related liver cancer mortality rates.
To provide a comprehensive view of the long-term health consequences, the file also presents Disability-Adjusted Life Years (DALY) estimations linked to aflatoxin exposure. This includes calculations of years of life lost, years lived with disability, and prevalence-to-mortality ratios, drawing upon epidemiological data and WHO life tables. The overarching analytical framework aims to generate actionable insights that can inform effective food safety policies and targeted public health interventions.