Chikungunya virus is an Alphavirus, it belongs to the family Togaviridae and is transmitted by mosquitoes. It was first described during an outbreak in Southern Tanzania in 1952. It generally causes a febrile syndrome, accompanied by joint pain and arthritis, which is often debilitating and may persist for months or years. Its overall fatality rate is not high, around 0.1%. Atypical and severe cases have been reported. This virus has been detected in more than 110 countries globally. In Northeastern Brazil autochthonous cases have been diagnosed since September 2014. In Argentina, as well as in neighboring countries, cases were increasing during 2023, compared to the same periods in previous years. Until epidemiological week 26 of 2023, 1460 cases of chikungunya fever were reported in Argentina, 72% of them were considered of autochthonous transmission. The case of a 76-year-old female patient is here presented, her comorbidities were hypertension and aortic stenosis, who was admitted to intensive care unit due to septic shock with respiratory focus, interstitial pneumonia in X-ray pattern, and torpid evolution. She died within 24 hours of admission. A report of detectable Chikungunya virus by real-time polymerase chain reaction in real time was received post-mortem. This case results of clinical relevance due to its atypical presentation and the country low prevalence of severe infections by this virus. It warns of the need to include the differential diagnosis in cases with suspected diagnosis.
Download full-text PDF |
Source |
---|
Mult Scler
January 2025
Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Background: Many common symptoms in post-acute sequelae following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (PASC) overlap with those of multiple sclerosis (MS). We examined symptoms and performance of the PASC score, developed in the general population, in MS based on infection history.
Methods: We surveyed North American Research Committee on Multiple Sclerosis (NARCOMS) registry participants regarding infections and categorized participants based on infection history.
J Virol
December 2024
Key Laboratory of Virology and Biosafety, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, Hubei, China.
Chikungunya virus (CHIKV), an enveloped positive-sense RNA virus, is a member of the alphaviruses and cause fever and arthralgia in humans. We performed genome-wide CRISPR/Cas9-based screens and identified Y-box binding protein 1 (YBX1) as an essential cellular factor for CHIKV. Deficiency of YBX1 inhibited CHIKV RNA replication and impaired virus production.
View Article and Find Full Text PDFFront Physiol
December 2024
Institute of Disinfection and Pest Control, Beijing Center for Disease Prevention and Control, Beijing, China.
Background: (Skuse) is an invasive and widespread mosquito species that can transmit dengue, chikungunya, yellow fever, and Zika viruses. Its control heavily relies on the use of insecticides. However, the efficacy of the insecticide-based intervention is threatened by the increasing development of resistance to available insecticides.
View Article and Find Full Text PDFInsect Biochem Mol Biol
December 2024
Department of Entomology, College of Agriculture, Food and Environment, University of Kentucky, Lexington, Kentucky 40546, USA. Electronic address:
Controlling Aedes aegypti mosquitoes is crucial for managing mosquito-transmitted diseases like dengue, zika, chikungunya, and yellow fever. One of the efficient methods to control mosquitoes is to block their progression from the larval to the adult stage. Juvenile hormones (JH) maintain the larval stage and ensure proper developmental timing for transitioning from larval-pupal-adult stages.
View Article and Find Full Text PDFSci Rep
December 2024
Public Health and community medicine Department, Theodor Bilharz Research Institute, Helwan University, Cairo, Egypt.
Infectious diseases significantly impact both public health and economic stability, underscoring the critical need for precise outbreak predictions to effictively mitigate their impact. This study applies advanced machine learning techniques to forecast outbreaks of Dengue, Chikungunya, and Zika, utilizing a comprehensive dataset comprising climate and socioeconomic data. Spanning the years 2007 to 2017, the dataset includes 1716 instances characterized by 27 distinct features.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!