Introduction: the first pandemic virus of the 21st century - the influenza A (H1N1)/2009 virus-appeared in Mexico in April 2009 after triple reassortment of influenza strains of avian, human and pig origin and from there, it was spread worldwide. With the purpose of facing up to this event, Cuba adopted antipandemic measures including the virology surveillance using all necessary actions.
Objectives: the detection and validation of the entry of the causative agent of pandemic into the country in a fast and timely way, in addition to the definition of involvement of other viruses in the etiology of acute respiratory infections.
Methods: as a result of the lab surveillance, from the 38th to the 42nd epidemiological weeks (September and October, 2009), 1 063 respiratory clinical samples were processed (nasopharyngeal exudates, bronchial aspirates and lung necropsy samples). The highest number of confirmed cases caused by the new virus was detected in this period that represented the first pandemic wave in Cuba. Diagnosis was based on molecular diagnosis algorithm.
Results: out of the 1063 samples, 597 (56.0 %) were positive. The pandemic influenza A (H1N1) virus was the most commonly detected etiological agent in 306 suspected cases (51 %) followed by influenza A (H3N2) virus in 228 cases (38 %). Other respiratory viruses were diagnosed in 63 clinical samples (11 %). The pandemic virus was confirmed in 50 pregnant women. Rhinoviruses were identified more frequently in those samples from patients with clinical diagnosis of bronchial pneumonia and broncholitis. Morbidity increased during this period; 225 825 medical consultations were notified due to acute respiratory infections mid-October 2009.
Conclusions: the molecular diagnosis algorithm proved to be sensitive, specific and effective to assure the systematic virological surveillance in our country during the pandemic phase.
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IntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFBiomed Res Int
January 2025
College of Agriculture and Veterinary Medicine, Jimma University, Jimma, Ethiopia.
Bovine viral diarrhea virus (BVDV) is an important pathogen affecting dairy cattle all over the world by causing significant economic losses due to reproductive and respiratory problems, immunosuppressive effects, increased risk of morbidity, and calf mortality. A cross-sectional study was conducted from February 2021 to August 2021 to determine the seroprevalence of bovine viral diarrhea (BVD) and identify risk factors associated with its occurrence in and around Nekemte Town of Ethiopia. Blood samples were collected from 305 dairy cattle of 41 herds by using cluster-sampling method.
View Article and Find Full Text PDFOpen Forum Infect Dis
January 2025
Harvard Medical School, Boston, Massachusetts, USA.
Background: Infections by and influenza viruses are vaccine-preventable diseases causing great morbidity and mortality. We evaluated pneumococcal and influenza vaccination practices during pre-international travel health consultations.
Methods: We evaluated data on pretravel visits over a 10-year period (1 July 2012 through 31 June 2022) from 31 sites in Global TravEpiNet (GTEN), a consortium of US healthcare facilities providing pretravel health consultations.
Vet Res Forum
December 2024
MD Student, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus is the causative agent of the emerging zoonotic respiratory disease. One of the most important prerequisites for combating emerging diseases is the development of vaccines within a short period of time. In this study, antigen-irradiated, inactivated SARS-CoV-2 viruses and the disaccharide trehalose were used to enhance immune responses in the Syrian hamster.
View Article and Find Full Text PDFVet Res Forum
December 2024
Institute of Pathogenic Microbiology, College of Biological Science and Engineering, and Nanchang Key Laboratory of Animal Virus and Genetic Engineering, Jiangxi Agricultural University, Nanchang, China.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is responsible for the COVID-19 pandemic. The receptor binding domain (RBD), located at the spike protein of SARS-CoV-2, contains most of the neutralizing epitopes during viral infection and is an ideal antigen for vaccine development. In this study, bioinformatic analysis of the amino acid sequence data of SARS-CoV-2 RBD protein for the better understanding of molecular characteristics was performed.
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