Chandna, A., White, L., Pongvongsa, T., Mayxay, M., Newton, P., Day, N., & Lubell, Y. (2019). Accounting for aetiology: Can regional surveillance data alongside host biomarker-guided antibiotic therapy improve treatment of febrile illness in remote settings? F1000Research.
Chicago Style (17th ed.) CitationChandna, A., LJ White, T. Pongvongsa, M. Mayxay, PN Newton, NPJ Day, and Y. Lubell. Accounting for Aetiology: Can Regional Surveillance Data Alongside Host Biomarker-guided Antibiotic Therapy Improve Treatment of Febrile Illness in Remote Settings? F1000Research, 2019.
MLA引文Chandna, A., et al. Accounting for Aetiology: Can Regional Surveillance Data Alongside Host Biomarker-guided Antibiotic Therapy Improve Treatment of Febrile Illness in Remote Settings? F1000Research, 2019.