Research graph
References from Fusing meteorological factors and baidu search index with an adapted deformtime model to predict influenza-like illness in Beijing. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2018 · External reference
Revision of clinical case definitions: influenza-like illness and severe acute respiratory infection
10.2471/blt.17.194514 · 2018 · External reference
10.1289/ehp.1002383
10.1289/ehp.1002383 · 2011 · External reference
Spatiotemporal effects of meteorological conditions on global influenza peaks
10.1016/j.envres.2023.116171 · 2023 · External reference
Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters
10.1371/journal.pone.0009450 · 2010 · External reference
Temperature variability and influenza incidence in China: Effect modification by ambient fine particulate matter
10.1016/j.jhazmat.2024.136114 · 2024 · External reference
Characterization of regional influenza seasonality patterns in China and implications for vaccination strategies: spatio-temporal modeling of surveillance data
10.1371/journal.pmed.1001552 · 2013 · External reference
Effect of weather variability on seasonal influenza among different age groups in Queensland, Australia: a Bayesian spatiotemporal analysis
10.1093/infdis/jix181 · 2017 · External reference
Associations between meteorological parameters and influenza activity in Berlin (Germany), Ljubljana (Slovenia), Castile and León (Spain) and Israeli districts
10.1371/journal.pone.0134701 · 2015 · External reference
Unresolved reference
2020 · External reference
Influenza seasonality and its environmental driving factors in mainland China and Hong Kong
10.1016/j.scitotenv.2021.151724 · 2022 · External reference
Effects of absolute humidity, relative humidity, temperature, and wind speed on influenza activity in Toronto, Ontario, Canada
10.1128/aem.02426-18 · 2019 · External reference
10.1016/j.scitotenv.2022.157024
10.1016/j.scitotenv.2022.157024 · 2023 · External reference
Epidemiological dynamics and phylogeography of influenza virus in southern China
10.1093/infdis/jis526 · 2013 · External reference
Seasonal pattern of influenza activity in a subtropical city, China, 2010–2015
10.1038/s41598-017-17806-z · 2017 · External reference
Unresolved reference
2025 · External reference
Forecasting seasonal influenza activity in Canada-Comparing seasonal Auto-Regressive integrated moving average and artificial neural network approaches for public health preparedness
10.1111/zph.13114 · 2024 · External reference
Exploring the lagged correlation between Baidu Index and influenza-like illness – China, 2014–2019
10.46234/ccdcw2024.084 · 2024 · External reference
Combining search, social media, and traditional data sources to improve influenza surveillance
10.1371/journal.pcbi.1004513 · 2015 · External reference
Dynamic ensemble deep learning with multi-source data for robust influenza forecasting in Yangzhou
10.1186/s12889-025-25937-6 · 2025 · External reference
Mechanism and empirical research on forecasting influenza epidemic fused with Baidu Index
10.3772/j.issn.1000-0135.2018.02.009 · 2018 · External reference
Deep-learning model for influenza prediction from multisource heterogeneous data in a megacity: model development and evaluation
10.2196/44238 · 2023 · External reference
The prediction of influenza-like illness and respiratory disease using LSTM and ARIMA
10.3390/ijerph19031858 · 2022 · External reference
Impact of COVID-19 outbreaks and interventions on influenza in China and the United States
10.1038/s41467-021-23440-1 · 2021 · External reference
DeformTime: capturing variable dependencies with deformable attention for time series forecasting
2025 · External reference
Computer-assisted surveillance for detecting clonal outbreaks of nosocomial infection
10.1128/jcm.42.3.1170-1175.2004 · 2004 · External reference
Unresolved reference
2015 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
Classification and regression by randomForest
2002 · External reference
XGBoost: A scalable tree boosting system
10.1145/2939672.2939785 · 2016 · External reference
Incorporating meteorological factors into a SARIMA model for predicting pediatric influenza epidemics
10.3389/fpubh.2026.1776470 · 2026 · External reference
Assessing dengue forecasting methods: a comparative study of statistical models and machine learning techniques in Rio de Janeiro, Brazil
10.1186/s41182-025-00723-7 · 2025 · External reference
Principles of Forecasting: A Handbook for Researchers and Practitioners
10.1007/978-0-306-47630-3 · 2001 · External reference
Root mean square error (RMSE) or mean absolute error (MAE)?
10.5194/gmd-7-1247-2014 · 2014 · External reference
Predicting influenza-like illness trends based on sentinel surveillance data in China from 2011 to 2019: a modeling and comparative study
10.1016/j.idm.2024.04.010 · 2024 · External reference
Influenza epidemic trend surveillance and prediction based on search engine data: deep learning model study
10.2196/45085 · 2023 · External reference
GB/T 20484-2017 Grade of cold air
2017 · External reference
Modeling the dynamics of seasonal influenza in response to meteorological conditions and antigenic variation: a simulation study
10.1186/s12889-026-26753-2 · 2026 · External reference
