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| http://dx.doi.org/10.2105/ajph.3.5.486 | DOI Listing |
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Time series data on typhoid fever incidence during outbreaks from 2000 to 2022.
Sci Data
January 2025
Epidemiology, Public Health, Impact, International Vaccine Institute, Seoul, Korea.
This article presents a comprehensive dataset compiling reported cases of typhoid fever from culture-confirmed outbreaks across various geographical locations from 2000 through 2022, categorized into daily, weekly, and monthly time series. The dataset was curated by identifying peer-reviewed epidemiological studies available in PubMed, OVID-Medline, and OVID-Embase. Time-series incidence data were extracted from plots using WebPlotDigitizer, followed by verification of a subset of the dataset.
View Article and Find Full Text PDFMachine learning and spatio-temporal analysis of meteorological factors on waterborne diseases in Bangladesh.
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January 2025
Department of Statistics, Begum Rokeya University, Rangpur, Bangladesh.
Background: Bangladesh is facing a formidable challenge in mitigating waterborne diseases risk exacerbated by climate change. However, a comprehensive understanding of the spatio-temporal dynamics of these diseases at the district level remains elusive. Therefore, this study aimed to fill this gap by investigating the spatio-temporal pattern and identifying the best tree-based ML models for determining the meteorological factors associated with waterborne diseases in Bangladesh.
View Article and Find Full Text PDFEvaluating small extracellular vesicle-based vaccination across heterologous strains isolated from wastewater.
Infect Immun
January 2025
Microbiology and Cell Science Department, IFAS, University of Florida, Gainesville, Florida, USA.
infections pose significant public health challenges worldwide. The diversity of strains, particularly those isolated from environmental and clinical sources, necessitates innovative approaches to prevention and treatment. Previous research has shown that small extracellular vesicles (sEVs) produced by macrophages during Typhimurium infection can induce robust immune responses when used as a vaccine, offering complete protection in systemic infection models.
View Article and Find Full Text PDFEfficiency of Bacteriophage-Based Detection Methods for Non-Typhoidal in Foods: A Systematic Review.
Viruses
November 2024
Centre for Epidemiology and Planetary Health, School of Veterinary Medicine, Scotland's Rural College, Inverness IV2 5NA, UK.
Food contamination with non-typhoidal (NTS) presents a significant public health risk, underscoring the critical need for rigorous food safety measures throughout the production, distribution, preparation, and consumption stages. Conventional diagnostic strategies are time-consuming and labor-intensive and are thus sub-optimal for throughput NTS detection. Bacteriophages (phages) are highly specialized bacterial viruses and exhibit extreme specificity for their hosts.
View Article and Find Full Text PDFAdvancements in Detection Methods for in Food: A Comprehensive Review.
Pathogens
December 2024
Department of Medical Education, College of Medicine, University of Central Florida, Orlando, FL 32827, USA.
Non-typhoidal species are one of the leading causes of gastrointestinal disease in North America, leading to a significant burden on the healthcare system resulting in a huge economic impact. Consequently, early detection of species in the food supply, in accordance with food safety regulations, is crucial for protecting public health, preventing outbreaks, and avoiding serious economic losses. A variety of techniques have been employed to detect the presence of this pathogen in the food supply, including culture-based, immunological, and molecular methods.
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