Background: There has been substantial effort and activity in regards to pandemic planning, preparedness and response, mainly in the realm of public health. However, general practitioners and other primary care providers are important players in the health response to a pandemic.
Objective: To discuss the importance of general practice preparedness for managing respiratory infection outbreaks and to provide a model for the general practice response.
Discussion: Pandemic planning and preparedness in general practice is ultimately a crucial risk management exercise, the cornerstone of which is sound infection control. As planning will be significantly aided by, and should extend to, other respiratory outbreaks, we propose a framework for managing outbreaks of respiratory infections with a focus on planned, practised and habitual infection control measures, and a stepwise response according to the extent and severity of the outbreak.
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Emerg Microbes Infect
January 2025
HIV/AIDS Unit, National Institute for Infectious Diseases "Lazzaro Spallanzani" IRCCS, Rome, Italy.
The first evidence that Orthopoxvirus induced the expansion and the recall of effector innate Vδ2T-cells was described in a macaque model. Although, an engagement of αβ T-cells specific response in patients infected with human monkeypox (Mpox) was demonstrated, little is known about the role of γδ T-cells during Mpox infection. IFN-γ-producing γδ T-cells in the resistance to poxviruses may a key role in inducing a protective type 1 memory immunity.
View Article and Find Full Text PDFTrans R Soc Trop Med Hyg
January 2025
Research Center for Care and Control of Infectious Disease, Universitas Padjadjaran, Bandung 45363, Indonesia.
Background: Certain micronutrient levels have been associated with the risk of developing TB disease. We explored the possible association of selected at-risk micronutrient levels with the development of Mycobacterium tuberculosis (M.tb) infection.
View Article and Find Full Text PDFHealth Promot Pract
January 2025
University of Nebraska Medical Center, Omaha, NE, USA.
The meat processing industry was significantly impacted by the COVID-19 pandemic. Deemed essential, the meat processing workforce faced the risk of exposure to the SARS-CoV-2 virus. Along with other essential workforces, meat processing workers were prioritized in the national approach to receive COVID-19 vaccines by the Centers for Disease Control and Prevention Advisory Committee on Immunization Practices.
View Article and Find Full Text PDFWorld J Diabetes
January 2025
Guangxi Clinical Medical Research Center for Hepatobiliary Diseases, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, Guangxi Zhuang Autonomous Region, China.
Background: Skin wounds are highly common in diabetic patients, and with increasing types of pathogenic bacteria and antibiotic resistance, wounds and infections in diabetic patients are difficult to treat and heal.
Aim: To explore the effects of betaine ointment (BO) in promoting the healing of skin wounds and reducing the inflammation and apoptosis of skin cells in microbially infected diabetic mice.
Methods: By detecting the minimum inhibitory concentrations (MICs) of betaine and plant monomer components such as psoralen, we prepared BO with betaine as the main ingredient, blended it with traditional Chinese medicines such as gromwell root and psoralen, and evaluated its antibacterial effects and safety and .
Sens Diagn
December 2024
Department of Bioengineering, Rice University Houston TX 77030 USA
CRISPR-Cas-based lateral flow assays (LFAs) have emerged as a promising diagnostic tool for ultrasensitive detection of nucleic acids, offering improved speed, simplicity and cost-effectiveness compared to polymerase chain reaction (PCR)-based assays. However, visual interpretation of CRISPR-Cas-based LFA test results is prone to human error, potentially leading to false-positive or false-negative outcomes when analyzing test/control lines. To address this limitation, we have developed two neural network models: one based on a fully convolutional neural network and the other on a lightweight mobile-optimized neural network for automated interpretation of CRISPR-Cas-based LFA test results.
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