Publications by authors named "C K Bodinayake"

Article Synopsis
  • The study investigates MRSA prevalence and molecular epidemiology in livestock farmers, animals, and livestock products in southern Sri Lanka, using a One Health approach that connects human, animal, and environmental health.
  • It found a low MRSA colonization prevalence in the region, with 24.0% in farms and 7.9% in farmers, while identifying two new MRSA clones in human and animal samples, but no livestock-associated MRSA (LA-MRSA) clones.
  • The research underscores the need for ongoing MRSA surveillance to track transmission dynamics between humans and animals within the One Health framework.
View Article and Find Full Text PDF

Lower respiratory tract infection (LRTI) is a common reason for hospitalization and antibacterial use globally. There is considerable overlap in the clinical presentation of bacterial and viral LRTIs. Low- or middle-income countries (LMICs) face the dual challenge of appropriately targeting antibacterials for bacterial LRTI while reducing inappropriate antibacterials for viral LRTI.

View Article and Find Full Text PDF

Background: Antimicrobial overprescription is common for lower respiratory tract infections (LRTI), as viral and bacterial infections generally present with similar clinical features. Overprescription is associated with downstream antimicrobial resistance. This study aims to identify the prevalence and predictors of antibiotic prescription among patients hospitalized with viral LRTI.

View Article and Find Full Text PDF

Diagnostic limitations challenge management of clinically indistinguishable acute infectious illness globally. Gene expression classification models show great promise distinguishing causes of fever. We generated transcriptional data for a 294-participant (USA, Sri Lanka) discovery cohort with adjudicated viral or bacterial infections of diverse etiology or non-infectious disease mimics.

View Article and Find Full Text PDF

Background: Leptospirosis is a tropical disease associated with life threatening complications. Identifying clinical and investigation-based parameters that predict mortality and morbidity is vital to provide optimal supportive care.

Methods: We conducted an observational study in an endemic setting, in the southern Sri Lanka.

View Article and Find Full Text PDF