The impact caused by the 2019 coronavirus disease (COVID-19) in different parts of the world, currently reaches 745, 308 infected and 35,307 deaths according to the latest reports. In this context, in our country, an area of epidemiological relevance is the Peruvian Amazon, due to the distribution of endemic diseases such as metaxemic diseases (Dengue, Malaria, among others), where the problem increases due to the COVID infection. -19 can lead to false positives in Dengue screening tests. Thus leading to a delay in the diagnosis of COVID-19 infection and further spread of the virus, since in most cases of Dengue there are no warning signs and treatment is ambulatory. This article seeks to express an opinion on the need to address cases of coinfection between Dengue and Covid-19 in endemic areas.
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http://dx.doi.org/10.31053/1853.0605.v77.n1.28031 | DOI Listing |
BMC Infect Dis
January 2025
Yunnan Institute of Endemic Diseases Control and Prevention, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali, Yunnan, 671000, China.
Background: Yunnan Province, located in the southwestern part of China and neighboring endemic dengue regions of Southeast Asia, has experienced annual autochthonous outbreaks of dengue fever from 2013 to 2023. This study examines the epidemiological and spatiotemporal clustering characteristics of dengue within the province.
Methods: Descriptive epidemiological methods were used to analyse outbreak characteristics.
Background: The interactions between virus and the host immune response are nuanced and intricate. The cytokine response arguably plays a central role in dictating the outcome of virus infection, balancing inflammation and healing, which is crucial to resolving infection without destructive immunopathologies.
Summary: Early innate immune responses are key to the generation of a beneficial or detrimental immune response.
Curr Pharm Biotechnol
January 2025
Center for Vaccine Innovation, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA.
The SARS-CoV-2 pandemic has highlighted the need for society, as a whole, to be prepared against potential pandemics caused by a variety of different viral families of concern. Here, we describe a roadmap towards the identification and validation of conserved T cell epitope regions from Viral Families of Pandemic Potential (VFPP). For each viral family, we select a prototype virus, the sequence of which could be utilized in epitope identification screens.
View Article and Find Full Text PDFSci Rep
January 2025
Institute of Mathematical Sciences, Faculty of Science, Universiti Malaya, 50603, Kuala Lumpur, Malaysia.
A dynamics informed neural networks (DINNs) incorporating the susceptible-exposed-infectious-recovered-vaccinated (SEIRV) model was developed to enhance the understanding of the temporal evolution dynamics of infectious diseases. This work integrates differential equations with deep neural networks to predict time-varying parameters in the SEIRV model. Experimental results based on reported data from China between January 1, and December 1, 2022, demonstrate that the proposed dynamics informed neural networks (DINNs) method can accurately learn the dynamics and predict future states.
View Article and Find Full Text PDFSci Rep
January 2025
Center of Excellence in Clinical Virology, Faculty of Medicine, Chulalongkorn University, Bangkok, 10330, Thailand.
The ongoing emergence of SARS-CoV-2 variants, combined with antigen exposures from different waves and vaccinations, poses challenges in updating COVID-19 vaccine antigens. We collected 206 sera from individuals with vaccination-only, hybrid immunity, and single or repeated omicron post-vaccination infections (PVIs), including non-JN.1 and JN.
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