This article provides a comprehensive framework for implementing and optimizing pooled testing in wildlife health surveillance.
This article provides a comprehensive framework for researchers, scientists, and drug development professionals navigating the complex landscape of data sharing in wildlife parasitology.
Cryptic co-infections, the simultaneous presence of multiple genetically distinct or morphologically similar pathogens in a single host, represent a significant blind spot in wildlife disease ecology and a potential source...
Wildlife parasites pose significant challenges to global health, conservation, and biomedical research, yet their detection is fraught with methodological and logistical obstacles.
The accurate identification of co-infections remains a significant challenge in clinical diagnostics and therapeutic development.
Next-generation sequencing (NGS) has revolutionized parasite subtype analysis, enabling unprecedented resolution for detecting mixed infections, tracking transmission, and identifying drug resistance markers.
This article provides a comprehensive guide to selecting and implementing cohort and cross-sectional sampling designs in wildlife research.
This article provides a comprehensive overview of the integrated morphological and molecular framework for parasite identification, a critical advancement for researchers, scientists, and drug development professionals.
This article provides a comprehensive framework for designing and implementing landscape-scale targeted surveillance (LSTS) systems for wildlife diseases, a critical approach for understanding disease emergence mechanisms and predicting outbreak hotspots.
This article provides a comprehensive guide to faecal egg count (FEC) protocols tailored for wildlife research and anthelmintic development.