Dengue fever is a kind of viral disease which infects people through mosquito bite. It is present in 100 countries and about 5 million to 10 million people are inflicted with this disease every year. Since the 1980s, it has seen a dramatic increase across the globe. One of the reasons for the spread of the disease is that rapid industrialization and urbanization have destroyed the natural habitat of mosquitos. Additionally, dengue fever occurs mostly in underdeveloped countries. These countries have not implemented systematic epidemiological investigation and are yet to come up with effective methods in terms of prevention of mosquito bites. Moreover, more and more people have traveled the areas at risk of this disease. Global the incidence of dengue fever has increased and has also seen a rise in cases among the travelers. One can easily find a case in a clinical setting. On top of that, due to global warming and north warding of dengue occurring latitude in the northern hemisphere, Aedes albopictus which is the vector of dengue fever, has been found in JeJu island. This makes it a major concern that the mosquitos have inhabited the country. Prevention of dengue fever is important since antiviral agents and vaccinations are not still commonly used.
Aedes ; Antiviral Agents ; Culicidae ; Dengue* ; Ecosystem ; Global Warming ; Incidence ; Methods ; Severe Dengue ; Urbanization ; Vaccination ; Virus Diseases

No abstract available.
Aedes/virology ; Animals ; Global Health ; Humans ; Travel ; Zika Virus/isolation & purification ; Zika Virus Infection/epidemiology/*pathology

Aged ; Angiogenesis Inhibitors ; administration & dosage ; pharmacology ; therapeutic use ; Antibodies, Monoclonal ; administration & dosage ; pharmacology ; therapeutic use ; Antibodies, Monoclonal, Humanized ; Asia ; ethnology ; Bevacizumab ; Choroidal Neovascularization ; drug therapy ; ethnology ; Female ; Humans ; Male ; Middle Aged ; Myopia ; physiopathology ; Prospective Studies ; Treatment Outcome ; Vitreous Body ; blood supply

No abstract available.
Aged ; Coronavirus Infections/*epidemiology/*transmission/virology ; *Disease Outbreaks ; Female ; Humans ; Male ; Middle Aged ; Middle East Respiratory Syndrome Coronavirus/*isolation & purification ; Republic of Korea/epidemiology

The coronavirus disease 2019 pandemic has underscored the limitations of traditional diagnostic methods, particularly in ensuring the safety of healthcare workers and patients during infectious outbreaks. Smartphone-based digital stethoscopes enhanced with artificial intelligence (AI) have emerged as potential tools for addressing these challenges by enabling remote, efficient, and accessible auscultation. Despite advancements, most existing systems depend on additional hardware and external processing, increasing costs and complicating deployment. This review examines the feasibility and limitations of smartphone-based digital stethoscopes powered by AI, focusing on their ability to perform real-time analyses of audible and inaudible sound frequencies. We also explore the regulatory barriers, data storage challenges, and diagnostic accuracy issues that must be addressed to facilitate broader adoption. The implementation of these devices in veterinary medicine is discussed as a practical step toward refining their applications. With targeted improvements and careful consideration of existing limitations, smartphone-based AI stethoscopes could enhance diagnostic capabilities in human and animal healthcare settings.

The coronavirus disease 2019 pandemic has underscored the limitations of traditional diagnostic methods, particularly in ensuring the safety of healthcare workers and patients during infectious outbreaks. Smartphone-based digital stethoscopes enhanced with artificial intelligence (AI) have emerged as potential tools for addressing these challenges by enabling remote, efficient, and accessible auscultation. Despite advancements, most existing systems depend on additional hardware and external processing, increasing costs and complicating deployment. This review examines the feasibility and limitations of smartphone-based digital stethoscopes powered by AI, focusing on their ability to perform real-time analyses of audible and inaudible sound frequencies. We also explore the regulatory barriers, data storage challenges, and diagnostic accuracy issues that must be addressed to facilitate broader adoption. The implementation of these devices in veterinary medicine is discussed as a practical step toward refining their applications. With targeted improvements and careful consideration of existing limitations, smartphone-based AI stethoscopes could enhance diagnostic capabilities in human and animal healthcare settings.

The coronavirus disease 2019 pandemic has underscored the limitations of traditional diagnostic methods, particularly in ensuring the safety of healthcare workers and patients during infectious outbreaks. Smartphone-based digital stethoscopes enhanced with artificial intelligence (AI) have emerged as potential tools for addressing these challenges by enabling remote, efficient, and accessible auscultation. Despite advancements, most existing systems depend on additional hardware and external processing, increasing costs and complicating deployment. This review examines the feasibility and limitations of smartphone-based digital stethoscopes powered by AI, focusing on their ability to perform real-time analyses of audible and inaudible sound frequencies. We also explore the regulatory barriers, data storage challenges, and diagnostic accuracy issues that must be addressed to facilitate broader adoption. The implementation of these devices in veterinary medicine is discussed as a practical step toward refining their applications. With targeted improvements and careful consideration of existing limitations, smartphone-based AI stethoscopes could enhance diagnostic capabilities in human and animal healthcare settings.

The coronavirus disease 2019 pandemic has underscored the limitations of traditional diagnostic methods, particularly in ensuring the safety of healthcare workers and patients during infectious outbreaks. Smartphone-based digital stethoscopes enhanced with artificial intelligence (AI) have emerged as potential tools for addressing these challenges by enabling remote, efficient, and accessible auscultation. Despite advancements, most existing systems depend on additional hardware and external processing, increasing costs and complicating deployment. This review examines the feasibility and limitations of smartphone-based digital stethoscopes powered by AI, focusing on their ability to perform real-time analyses of audible and inaudible sound frequencies. We also explore the regulatory barriers, data storage challenges, and diagnostic accuracy issues that must be addressed to facilitate broader adoption. The implementation of these devices in veterinary medicine is discussed as a practical step toward refining their applications. With targeted improvements and careful consideration of existing limitations, smartphone-based AI stethoscopes could enhance diagnostic capabilities in human and animal healthcare settings.

BACKGROUND: Both the Korean Society of Infectious Diseases and The Korean Center for Diseases Control recommended MMR (measles, mumps, rubella) vaccination to health care workers (HCWs) but this had rarely been applied mainly due to economic reasons. In this paper, we report a measles outbreak initiated by two inpatients and then spread to other nine infants and three HCWs. We also report that this outbreak was successfully contained by active infection control measures. METHODS: Measles cases were determined according to CDC clinical criteria and confirmed by the level of the measles-specific IgM antibody. Suspected patients were isolated in aeration-limited areas. After measles cases in HCWs were detected, people in 26 pediatric wards were screened for measles-specific IgG antibody. MMR (measle, rubella, mumps) vaccination was applied to HCWs who were negative for measles-specific antibodies or HCWs who were exposed but not sure of their vaccination status. RESULTS: From April 21 to June 4 in 2007, measles-infected patients consisted of eleven infants (11 months old in median age) and three HCW women. Antibody screening revealed that only 73% (19 out of 26) in pediatric wards were positive for measles-specific IgG. After a medical doctor was confirmed as measles-infected, health care worker exposed to measles patients were all vaccinated without antibody test. CONCLUSION: The precise level of anti-measles antibody in adults has to be revealed by further studies involving multiple organizations. This result could be helpful for establishing a proper health care policy of MMR vaccination.
Adult ; Antibodies ; Centers for Disease Control and Prevention (U.S.) ; Communicable Diseases ; Delivery of Health Care ; Disease Outbreaks ; Female ; Humans ; Immunoglobulin G ; Immunoglobulin M ; Infant ; Infection Control ; Inpatients ; Mass Screening ; Measles ; Mumps ; Rubella ; Tertiary Care Centers ; Vaccination