APA (7th ed.) Citation

S, K., CY, Y., MT, L., K, I., C, S., & NY, K. (2026). Post-acute sequelae of SARS-CoV-2 infection symptom network centrality analysis of Taiwan population to unveil intricate symptomatology patterns. Scientific reports, 16(1), . https://doi.org/10.1038/s41598-026-41991-5

Chicago Style (17th ed.) Citation

S, Kukreti, Yeh CY, Lu MT, Imteyaz K, Strong C, and Ko NY. "Post-acute Sequelae of SARS-CoV-2 Infection Symptom Network Centrality Analysis of Taiwan Population to Unveil Intricate Symptomatology Patterns." Scientific Reports 16, no. 1 (2026). https://doi.org/10.1038/s41598-026-41991-5.

MLA (9th ed.) Citation

S, Kukreti, et al. "Post-acute Sequelae of SARS-CoV-2 Infection Symptom Network Centrality Analysis of Taiwan Population to Unveil Intricate Symptomatology Patterns." Scientific Reports, vol. 16, no. 1, 2026, https://doi.org/10.1038/s41598-026-41991-5.