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-referens (17:e uppl.)Chandna, A., LJ White, T. Pongvongsa, M. Mayxay, PN Newton, NPJ Day, och 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-referens (9:e uppl.)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.