Monthly incidence prediction of foodborne diseases: case study in Nanning City of China

Key Points

• Foodborne disease incidence prediction shows seasonal peaks, particularly during summer months.
• The predictive model achieves an accuracy of 85% based on past epidemiological data from three years.
• Assessment using an epidemiological model incorporates environmental factors and population density in Nanning City.
• Findings suggest timely monitoring can improve public health interventions for foodborne diseases.