AIMC Topic: Seasons

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Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model.

Journal of infection and public health Apr 10, 2025
BACKGROUND: This study estimates the incidence of seasonal infectious diseases, including influenza, norovirus, severe fever with thrombocytopenia syndrome (SFTS), and tsutsugamushi disease, in the Republic of Korea from 2005 to 2023. It also examine...
Communicable Diseases Republic of Korea SARS-CoV-2 Seasons Humans Scrub Typhus COVID-19 Caliciviridae Infections Disease Outbreaks Incidence Influenza, Human
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Forewarning the seasonal dynamics of corn leafhopper and mollicutes through neural networks.

International journal of biometeorology Mar 21, 2025
The corn leafhopper (CL), Dalbulus maidis (DeLong & Wolcott) (Hemiptera: Cicadellidae), has become the most important corn pest in Brazil and other corn-producing countries. This highly efficient insect vector transmits corn stunting pathogens result...
Phytoplasma Zea mays Neural Networks, Computer Weather Animals Seasons Brazil Plant Diseases Hemiptera Spiroplasma
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Cluster-based downscaling of precipitation using Kolmogorov-Arnold Neural Networks and CMIP6 models: Insights from Oman.

Journal of environmental management Mar 20, 2025
Accurate precipitation predictions are crucial for addressing climate change impacts on water resources, especially in arid regions like Oman. Therefore, this study evaluates three machine learning models-Random Forest (RF), Multilayer Perceptron Neu...
Models, Theoretical Neural Networks, Computer Seasons Machine Learning Rain Climate Change Forecasting Oman
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Forecasting invasive mosquito abundance in the Basque Country, Spain using machine learning techniques.

Parasites & vectors Mar 15, 2025
BACKGROUND: Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropical and subtropical regions into temperate zones, posing significant public health risks. In the Basque Country region of Spain, changing ...
Climate Aedes Spain Mosquito Vectors Dengue Introduced Species Animals Weather Seasons Forecasting Temperature Machine Learning
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Developing a seasonal-adjusted machine-learning-based hybrid time‑series model to forecast heatwave warning.

Scientific reports Mar 13, 2025
Heatwaves pose a significant threat to environmental sustainability and public health, particularly in vulnerable regions and rapidly growing cities. They cause water shortages, stress on plants, and an overall drying out of landscapes, reducing plan...
Algorithms Forecasting Models, Theoretical Humans Machine Learning Seasons Hot Temperature Extreme Heat
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Quantitative analysis and evaluation of winter and summer landscape colors in the Yangzhou ancient Canal utilizing deep learning.

Scientific reports Mar 3, 2025
Color is an important index for human visual evaluation of landscape, and it is also a key factor affecting people's recognition and experience of heritage landscape. In this study, five important sites of the Yangzhou Grand Canal were selected for t...
Humans Deep Learning China Color Seasons
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A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited data.

Epidemics Feb 7, 2025
Accurate, real-time forecasts of influenza hospitalizations would facilitate prospective resource allocation and public health preparedness. State-of-the-art machine learning methods are a promising approach to produce such forecasts, but they requir...
United States Influenza, Human Seasons Humans Prospective Studies Machine Learning Hospitalization Forecasting
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An investigation of microbial groundwater contamination seasonality and extreme weather event interruptions using "big data", time-series analyses, and unsupervised machine learning.

Environmental pollution (Barking, Essex : 1987) Feb 6, 2025
Temporal studies of groundwater potability have historically focused on E. coli detection rates, with non-E. coli coliforms (NEC) and microbial concentrations remaining understudied by comparison. Additionally, "big data" (i.e., large, diverse datase...
Big Data Groundwater Environmental Monitoring Escherichia coli Unsupervised Machine Learning Seasons Water Microbiology Extreme Weather
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Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model.

Scientific reports Jan 30, 2025
Various modelling techniques are available to understand the temporal and spatial variations of the phenology of species. Scientists often rely on correlative models, which establish a statistical relationship between a response variable (such as spe...
Spatio-Temporal Analysis Seasons Machine Learning Population Dynamics Aedes Models, Biological Animals Mosquito Vectors
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Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

PloS one Jan 27, 2025
During winter months, there is increased pressure on health care systems in temperature climates due to seasonal increases in respiratory illnesses. Providing real-time short-term forecasts of the demand for health care services helps managers plan t...
England Child, Preschool Emergency Service, Hospital Humans Machine Learning Seasons Infant Respiratory Syncytial Virus Infections Forecasting Pilot Projects Health Services Needs and Demand
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