Emerging infectious diseases (EIDs) represent a dynamic and evolving threat to global public health. These diseases, which are newly identified or reemerging with increased incidence or geographic range, pose significant challenges to healthcare systems and society at large. Factors such as population growth, urbanization, international travel, and climate change contribute to the emergence and spread of EIDs. The rapid globalization of trade and travel further facilitates the dissemination of infectious agents across borders, amplifying the risk of pandemics. Recent examples of EIDs include the Zika virus, Ebola virus disease, and COVID-19, each highlighting the potential for previously unknown pathogens to cause widespread illness and societal disruption. Addressing the complex drivers of EIDs requires a multifaceted approach, encompassing surveillance, early detection, rapid response, vaccination, antimicrobial stewardship, and international collaboration to mitigate their impact on human health and well-being.
Title : Diagnostic approaches, predictive and prognostic assessments, monitoring, treatment & management of infectious diseases and disease prevention
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : The accelerated timeline: Human ecology, climate change, and the next global outbreak
Claudia Ferreira, Sorbonne University, France
Title : Climate change and increasing death due to resistant infection
Yazdan Mirzanejad, University of British Columbia, Canada
Title : Recurrent klebsiella pneumoniae pyogenic liver abscess: Developing a literature-informed 0–2 scoring framework from a solved index case
Martha Grace McLean, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Post-hysterectomy pelvic abscess mimic: An AI-assisted diagnostic stewardship workflow
Setu Shiroya, Anne Burnett Marion School of Medicine at Texas Christian University, United States
Title : Building a clinical reasoning tool from post-transplant MRSA sepsis: A mentored ai workflow
Michaela Mitchell, Anne Burnett Marion School of Medicine at Texas Christian University, United States