The COVID-19 pandemic, caused by the SARS coronavirus 2 (SARS-CoV-2), is a worldwide disaster. Despite the fact that many people recover from COVID-19 infection, they are likely to suffer chronic symptoms akin to Post-Traumatic Stress Disorder (PTSD) following discharge. Long COVID refers to symptoms that remain for months after infection and can result in significant cost burden and healthcare issues. The processes behind Long COVID and PTSD, however, remain unknown. We gathered the genes linked to Long COVID and PTSD from databases using constrained screening circumstances and clinical sample datasets with limited filters. Taking the intersection resulted in the discovery of the shared genes for Long COVID and PTSD. On the basis of common genes, we performed advanced bioinformatics analyses such as gene ontology and pathway enrichment analyses, protein-protein interaction (PPI) analysis, transcription factor (TF)-gene interaction network analysis, miRNA-gene interaction network analysis, and candidate drug analysis prediction. Through enrichment analysis, we discovered nine shared genes between Long COVID and PTSD and obtained thorough information on their biological activities and signaling networks. The PPI network collected ten hub proteins (RPL7, MRPL13, RPS14, RPS29, RPS9, RSL24D1, RPL31, RPS27L, EEF1D, MRPL15). Network Analyst demonstrated the TF-gene and TF-miRNA networks. Finally, ten possible chemical substances were anticipated. This research identified shared gene interaction networks between PTSD and Long COVID and suggested novel therapeutics for use in clinical settings. Our research identifies a possible molecular link between Long COVID and PTSD. Prior to future clinical application, more experimental and clinical research is needed to investigate improved mechanistic understanding.