This paper summarizes the basic principles and models of early warning for infectious disease outbreaks, introduces the early warning systems for infectious disease based on different data sources and their applications, and discusses the application potential of big data and their analysing techniques, which have been studied and used in the prevention and control of COVID-19 pandemic, including internet inquiry, social media, mobile positioning, in the early warning of infectious diseases in order to provide reference for the establishment of an intelligent early warning mechanism and platform for infectious diseases based on multi-source big data.
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http://dx.doi.org/10.3760/cma.j.cn112338-20210512-00391 | DOI Listing |
Traffic Inj Prev
January 2025
School of Civil and Hydraulic Engineering, NingXia University, YinChuan, China.
Objective: This study aims to address the issue of driving safety on highways in the desert region of Northwest China during extreme weather conditions such as sandstorms, with the goal of reducing driver risk. It explores driver behavior under extreme conditions of sandstorms and sand accumulation, proposing safety speed recommendations and warning models for different environments to calculate the optimal warning distance in windy and sandy conditions.
Methods: Natural driving simulation experiments were conducted in windy and sandy environments, collecting driving behavior data from 45 drivers under varying visibility and road conditions with or without sand accumulation.
Lancet Reg Health West Pac
January 2025
National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing, China.
Background: Due to global climate change, high temperature and heatwaves have become critical issues that pose a threat to human health. An effective early warning system is essential to mitigate the health risks associated with high temperature and heatwaves. However, most of the current heatwave early warning systems are not adequately developed based on the heat-health risk model, and the health impact of hot weather has not been well managed in most countries.
View Article and Find Full Text PDFEClinicalMedicine
February 2025
Emergency Centre, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Background: Sepsis is a significant health burden on a global scale. Timely identification and treatment of sepsis can greatly improve patient outcomes, including survival rates. However, time-consuming laboratory results are often needed for screening sepsis.
View Article and Find Full Text PDFJ Infect Public Health
January 2025
Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea. Electronic address:
Background: Malaria cases in the Republic of Korea decreased during the coronavirus disease 2019 pandemic but surged in 2023. Current models inadequately address spatial heterogeneity in transmission dynamics. This study aimed to address this by designing a region-structured model considering spatial heterogeneity based on regional malaria data from high-risk areas.
View Article and Find Full Text PDFMol Biol Rep
January 2025
College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, 266109, PR China.
Background: Feline diarrhea is a common digestive tract disease in clinical practice, with watery feces as the main clinical manifestation. There are numerous pathogenic factors causing feline diarrhea, among which viral infections are prevalent, and feline panleukopenia virus (FPV) is the most common pathogen. In recent years, a variety of novel viruses have been detected in the intestines of cats with diarrhea.
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