Background: The association between COVID-19 infection and the development of new-onset diabetes and hypertension is an emerging area of research. However, a comprehensive understanding of the underlying molecular mechanisms is still lacking. Network analysis using bioinformatics tools can provide valuable insights into the complex molecular interactions involved in these conditions after COVID-19 infection. Objective: This study aims to use bioinformatics tools to analyze the network of molecular interactions related to new-onset diabetes and hypertension following COVID-19 infection. Methods: Data Sources: relevant datasets were collected from NCBI databases, including gene expression profiles and protein-protein interaction information. Data Preprocessing: the collected datasets went through pre-processing to ensure data quality and consistency. Integration of Datasets: the gene expression profiles and protein-protein interaction information were integrated to create a comprehensive dataset that captures the molecular interactions related to new-onset diabetes and hypertension following COVID-19 infection. Network Construction: bioinformatics tool STRING was used to construct a network model represented the molecular interactions identified in the integrated dataset. Network Analysis: the network analysis techniques, included network topology analysis and module identification. Functional Annotation and Pathway Enrichment Analysis: The genes and proteins within the network were functionally annotated using databases KEGG. Results: The network analysis revealed several key proteins and pathways related to the pathogenesis of new-onset diabetes and hypertension after COVID-19 infection. Notably, proteins involved in insulin signaling, glucose metabolism, inflammation, and blood pressure regulation were found to be prominently associated. The signaling pathway and the renin-angiotensin system were identified as key pathways in this context. Conclusion: The study demonstrated the interplay between genetics and protein-protein interactions, particularly within signaling pathways, as pivotal factors in the onset of post-COVID-19 development of new-onset diabetes and hypertension