Synergizing Artificial Intelligence and Biotechnology for Integrated Vector Management: A Vision for Global Health in the 21st Century
Ebrahim AbbasiAbstract
Introduction
Vector-borne diseases (VBDs) cause over 700 million cases annually, exacerbated by insecticide resistance, climate change, and urbanization. Conventional control strategies are increasingly insufficient.
Materials and Methods
A narrative review (2015–2025) was conducted across PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar. Over 3,500 records were screened; 16 studies were included, focusing on AI applications (e.g., machine learning, geospatial analytics) and biotechnological tools (e.g., CRISPR-Cas9, Wolbachia).
Results
The reviewed literature demonstrated that AI-based tools improve vector surveillance, outbreak prediction, and resource allocation, while biotechnological approaches such as Wolbachia-based interventions and gene-editing technologies show considerable potential for reducing disease transmission. Several studies highlighted the advantages of integrating AI with biotechnology to improve the precision, scalability, and sustainability of vector control programs.
Discussion
AI–biotechnology integration offers an emerging framework for sustainable, equitable IVM, though challenges include infrastructure gaps, ethics, and regulation.