Emerging diseases, often caused by novel pathogens, present ongoing challenges to global health. These diseases can result from the introduction of new infectious agents, the re-emergence of known pathogens, or changes in the epidemiology of existing diseases. Zoonotic spillover events, where diseases jump from animals to humans, are common mechanisms for the emergence of new threats. Factors such as increased international travel, urbanization, deforestation, and climate change contribute to the rising incidence of emerging diseases. Notable examples include the emergence of the SARS-CoV-2 virus, responsible for the COVID-19 pandemic, and the re-emergence of diseases like Ebola and Zika. The unpredictable nature of emerging diseases necessitates a proactive approach involving surveillance, early detection, rapid response, and international collaboration. Research into the ecological, social, and biological determinants of these diseases is crucial for developing effective preventive measures and mitigating their impact on public health.
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