Research graph
References from Meteorological Drivers of Influenza A and B Positivity in a Subtropical Chinese City: A Six-Year Surveillance Study Integrating Distributed Lag Non-Linear Models and Deep Learning. Local targets link to admitted publications; unresolved targets remain external evidence.
The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases
10.1016/j.idm.2021.12.005 · 2022 · External reference
Extreme Precipitation Events and Infectious Disease Risk: A Scoping Review and Framework for Infectious Respiratory Viruses
10.3390/ijerph19010165 · 2021 · External reference
Latitudinal variations in seasonal activity of influenza and respiratory syncytial virus (RSV): a global comparative review
10.1371/journal.pone.0054445 · 2013 · External reference
Epidemic influenza and vitamin D
10.1017/s0950268806007175 · 2006 · External reference
Impact of diurnal temperature range on human health: a systematic review
10.1007/s00484-014-0797-5 · 2014 · External reference
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
10.7717/peerj-cs.623 · 2021 · External reference
Global Geographical and Temporal Patterns of Seasonal Influenza and Associated Climatic Factors
10.1093/epirev/mxz008 · 2019 · External reference
Global environmental drivers of influenza
10.1073/pnas.1607747113 · 2016 · External reference
A method for detecting the quality of cotton seeds based on an improved ResNet50 model
10.1371/journal.pone.0273057 · 2023 · External reference
An explanation for the seasonality of acute upper respiratory tract viral infections
10.1080/00016480252814207 · 2002 · External reference
Distributed Lag Linear and Non-Linear Models in R: The Package dlnm
10.18637/jss.v043.i08 · 2011 · External reference
Distributed lag non-linear models
10.1002/sim.3940 · 2010 · External reference
The impact of the COVID-19 pandemic on influenza, respiratory syncytial virus, and other seasonal respiratory virus circulation in Canada: A population-based study
10.1016/j.lana.2021.100015 · 2021 · External reference
The effects of meteorological factors on influenza among children in Guangzhou, China
10.1111/irv.12617 · 2019 · External reference
Advanced hyperparameter optimization of deep learning models for wind power prediction
10.1016/j.renene.2023.119700 · 2024 · External reference
Offshore Wind Power Forecasting—A New Hyperparameter Optimisation Algorithm for Deep Learning Models
10.3390/en15196919 · 2022 · External reference
Low Temperature and Low UV Indexes Correlated with Peaks of Influenza Virus Activity in Northern Europe during 2010ß2018
10.3390/v11030207 · 2019 · External reference
Comparative epidemiology of influenza A and B viral infection in a subtropical region: a 7-year surveillance in Okinawa, Japan
10.1186/s12879-016-1978-0 · 2016 · External reference
Estimates of global seasonal influenza-associated respiratory mortality: a modelling study
10.1016/s0140-6736(17)33293-2 · 2018 · External reference
School closures and influenza: systematic review of epidemiological studies
10.1136/bmjopen-2012-002149 · 2013 · External reference
A brief review of influenza virus infection
10.1002/jmv.26990 · 2021 · External reference
Comparison of influenza surveillance data from the Republic of Korea, selected northern hemisphere countries and ß Hong Kong Special Administrative Region SAR (China) from 2012 to 2017
10.5365/wpsar.2019.10.2.015 · 2020 · External reference
Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model
10.1186/s12889-024-19590-8 · 2024 · External reference
Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization
10.1016/j.heliyon.2023.e18148 · 2023 · External reference
Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis
10.1016/s2214-109x(19)30264-5 · 2019 · External reference
A probabilistic transmission dynamic model to assess indoor airborne infection risks
10.1111/j.1539-6924.2005.00663.x · 2005 · External reference
The correlation between atmospheric visibility and influenza in Wuxi city, China
10.1097/md.0000000000021469 · 2020 · External reference
Long short-term memory recurrent neural network for pharmacokinetic-pharmacodynamic modeling
10.5414/cp203800 · 2021 · External reference
Influenza seasonality: underlying causes and modeling theories
10.1128/jvi.01680-06 · 2007 · External reference
Roles of humidity and temperature in shaping influenza seasonality
10.1128/jvi.03544-13 · 2014 · External reference
Mechanistic insights into the effect of humidity on airborne influenza virus survival, transmission and incidence
10.1098/rsif.2018.0298 · 2019 · External reference
Seasonality of Respiratory Viral Infections
10.1146/annurev-virology-012420-022445 · 2020 · External reference
High ambient temperature dampens adaptive immune responses to influenza A virus infection
10.1073/pnas.1815029116 · 2019 · External reference
Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
10.1016/j.heliyon.2022.e11820 · 2022 · External reference
Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region
10.1111/irv.12682 · 2020 · 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
Progressive ordering with decreasing temperature of the phospholipids of influenza virus
10.1038/nchembio.77 · 2008 · External reference
Human Influenza Epidemiology
10.1101/cshperspect.a038356 · 2021 · External reference
Inactivation of influenza virus by solar radiation
10.1111/j.1751-1097.2007.00177.x · 2007 · External reference
Absolute humidity as a deterministic factor affecting seasonal influenza epidemics in Japan
10.1620/tjem.224.251 · 2011 · External reference
Interactive effect of air pollutant and meteorological factors on seasonal influenza transmission, Shanghai, China
10.1016/j.atmosenv.2023.120208 · 2024 · External reference
Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters
10.1371/journal.pone.0009450 · 2010 · 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
Environmental role in influenza virus outbreaks
10.1146/annurev-animal-022114-111017 · 2015 · External reference
Environmental predictors of seasonal influenza epidemics across temperate and tropical climates
10.1371/journal.ppat.1003194 · 2013 · External reference
Randomized trial of vitamin D supplementation to prevent seasonal influenza A in schoolchildren
10.3945/ajcn.2009.29094 · 2010 · External reference
Influenza
10.1016/s0140-6736(22)00982-5 · 2022 · External reference
A Novel Data-driven Model for Real-Time Influenza Forecasting
10.1109/access.2018.2888585 · 2018 · External reference
Epidemiological Features and Forecast Model Analysis for the Morbidity of Influenza in Ningbo, China, 2006-2014
10.3390/ijerph14060559 · 2017 · External reference
Association between Temperature and Influenza Activity across Different Regions of China during 2010-2017
10.3390/v15030594 · 2023 · External reference
How do El Niño Southern Oscillation (ENSO) and local meteorological factors affect the incidence of seasonal influenza in New York state
10.1016/j.heha.2022.100040 · 2022 · External reference
Effect of temperature and food restriction on immune function in striped hamsters (Cricetulus barabensis)
10.1242/jeb.153601 · 2017 · External reference
’Relationship between humidity and influenza A viability in droplets and implications for influenza’s seasonality’
10.1371/journal.pone.0046789 · 2012 · External reference
Temperature and influenza transmission: Risk assessment and attributable burden estimation among 30 cities in China
10.1016/j.envres.2022.114343 · 2022 · External reference
The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China
10.1016/j.scitotenv.2019.134607 · 2020 · External reference
Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China
10.1186/s12879-023-08025-1 · 2023 · External reference
Association between meteorological factors and the epidemics of influenza (sub)types in a subtropical basin of Southwest China
10.1016/j.epidem.2022.100650 · 2022 · External reference
Study on the influence of meteorological factors on influenza in different regions and predictions based on an LSTM algorithm
10.1186/s12889-022-14299-y · 2022 · External reference
A brief review of influenza virus infection
10.1002/jmv.26990 · ExternalCitation · doi-reference
Distributed lag non-linear models
10.1002/sim.3940 · ExternalCitation · doi-reference
Impact of diurnal temperature range on human health: a systematic review
10.1007/s00484-014-0797-5 · ExternalCitation · doi-reference
Interactive effect of air pollutant and meteorological factors on seasonal influenza transmission, Shanghai, China
10.1016/j.atmosenv.2023.120208 · ExternalCitation · doi-reference
Temperature and influenza transmission: Risk assessment and attributable burden estimation among 30 cities in China
10.1016/j.envres.2022.114343 · ExternalCitation · doi-reference
Association between meteorological factors and the epidemics of influenza (sub)types in a subtropical basin of Southwest China
10.1016/j.epidem.2022.100650 · ExternalCitation · doi-reference
How do El Niño Southern Oscillation (ENSO) and local meteorological factors affect the incidence of seasonal influenza in New York state
10.1016/j.heha.2022.100040 · ExternalCitation · doi-reference
Association between multiple meteorological variables and seasonal influenza A and B virus transmission in Macau
10.1016/j.heliyon.2022.e11820 · ExternalCitation · doi-reference
Raman spectral pattern recognition of breast cancer: A machine learning strategy based on feature fusion and adaptive hyperparameter optimization
10.1016/j.heliyon.2023.e18148 · ExternalCitation · doi-reference
The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases
10.1016/j.idm.2021.12.005 · ExternalCitation · doi-reference
The impact of the COVID-19 pandemic on influenza, respiratory syncytial virus, and other seasonal respiratory virus circulation in Canada: A population-based study
10.1016/j.lana.2021.100015 · ExternalCitation · doi-reference
Advanced hyperparameter optimization of deep learning models for wind power prediction
10.1016/j.renene.2023.119700 · ExternalCitation · doi-reference
The complex associations of climate variability with seasonal influenza A and B virus transmission in subtropical Shanghai, China
10.1016/j.scitotenv.2019.134607 · ExternalCitation · doi-reference
Estimates of global seasonal influenza-associated respiratory mortality: a modelling study
10.1016/s0140-6736(17)33293-2 · ExternalCitation · doi-reference
Influenza
10.1016/s0140-6736(22)00982-5 · ExternalCitation · doi-reference
Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis
10.1016/s2214-109x(19)30264-5 · ExternalCitation · doi-reference
Epidemic influenza and vitamin D
10.1017/s0950268806007175 · ExternalCitation · doi-reference
Progressive ordering with decreasing temperature of the phospholipids of influenza virus
10.1038/nchembio.77 · ExternalCitation · doi-reference
Global environmental drivers of influenza
10.1073/pnas.1607747113 · ExternalCitation · doi-reference
High ambient temperature dampens adaptive immune responses to influenza A virus infection
10.1073/pnas.1815029116 · ExternalCitation · doi-reference
An explanation for the seasonality of acute upper respiratory tract viral infections
10.1080/00016480252814207 · ExternalCitation · doi-reference
Global Geographical and Temporal Patterns of Seasonal Influenza and Associated Climatic Factors
10.1093/epirev/mxz008 · ExternalCitation · doi-reference
The correlation between atmospheric visibility and influenza in Wuxi city, China
10.1097/md.0000000000021469 · ExternalCitation · doi-reference
Mechanistic insights into the effect of humidity on airborne influenza virus survival, transmission and incidence
10.1098/rsif.2018.0298 · ExternalCitation · doi-reference
Human Influenza Epidemiology
10.1101/cshperspect.a038356 · ExternalCitation · doi-reference
A Novel Data-driven Model for Real-Time Influenza Forecasting
10.1109/access.2018.2888585 · ExternalCitation · doi-reference
The effects of meteorological factors on influenza among children in Guangzhou, China
10.1111/irv.12617 · ExternalCitation · doi-reference
Effects of temperature, humidity, and diurnal temperature range on influenza incidence in a temperate region
10.1111/irv.12682 · ExternalCitation · doi-reference
A probabilistic transmission dynamic model to assess indoor airborne infection risks
10.1111/j.1539-6924.2005.00663.x · ExternalCitation · doi-reference
Inactivation of influenza virus by solar radiation
10.1111/j.1751-1097.2007.00177.x · ExternalCitation · doi-reference
Effects of Absolute Humidity, Relative Humidity, Temperature, and Wind Speed on Influenza Activity in Toronto, Ontario, Canada
10.1128/aem.02426-18 · ExternalCitation · doi-reference
Influenza seasonality: underlying causes and modeling theories
10.1128/jvi.01680-06 · ExternalCitation · doi-reference
Roles of humidity and temperature in shaping influenza seasonality
10.1128/jvi.03544-13 · ExternalCitation · doi-reference
School closures and influenza: systematic review of epidemiological studies
10.1136/bmjopen-2012-002149 · ExternalCitation · doi-reference
Environmental role in influenza virus outbreaks
10.1146/annurev-animal-022114-111017 · ExternalCitation · doi-reference
Seasonality of Respiratory Viral Infections
10.1146/annurev-virology-012420-022445 · ExternalCitation · doi-reference
Comparative epidemiology of influenza A and B viral infection in a subtropical region: a 7-year surveillance in Okinawa, Japan
10.1186/s12879-016-1978-0 · ExternalCitation · doi-reference
Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China
10.1186/s12879-023-08025-1 · ExternalCitation · doi-reference
Study on the influence of meteorological factors on influenza in different regions and predictions based on an LSTM algorithm
10.1186/s12889-022-14299-y · ExternalCitation · doi-reference
Forecasting and analyzing influenza activity in Hebei Province, China, using a CNN-LSTM hybrid model
10.1186/s12889-024-19590-8 · ExternalCitation · doi-reference
Effect of temperature and food restriction on immune function in striped hamsters (Cricetulus barabensis)
10.1242/jeb.153601 · ExternalCitation · doi-reference
Modeling and predicting seasonal influenza transmission in warm regions using climatological parameters
10.1371/journal.pone.0009450 · ExternalCitation · doi-reference
’Relationship between humidity and influenza A viability in droplets and implications for influenza’s seasonality’
10.1371/journal.pone.0046789 · ExternalCitation · doi-reference
Latitudinal variations in seasonal activity of influenza and respiratory syncytial virus (RSV): a global comparative review
10.1371/journal.pone.0054445 · ExternalCitation · doi-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 · ExternalCitation · doi-reference
A method for detecting the quality of cotton seeds based on an improved ResNet50 model
10.1371/journal.pone.0273057 · ExternalCitation · doi-reference
Environmental predictors of seasonal influenza epidemics across temperate and tropical climates
10.1371/journal.ppat.1003194 · ExternalCitation · doi-reference
Absolute humidity as a deterministic factor affecting seasonal influenza epidemics in Japan
10.1620/tjem.224.251 · ExternalCitation · doi-reference
Distributed Lag Linear and Non-Linear Models in R: The Package dlnm
10.18637/jss.v043.i08 · ExternalCitation · doi-reference
Offshore Wind Power Forecasting—A New Hyperparameter Optimisation Algorithm for Deep Learning Models
10.3390/en15196919 · ExternalCitation · doi-reference
Epidemiological Features and Forecast Model Analysis for the Morbidity of Influenza in Ningbo, China, 2006-2014
10.3390/ijerph14060559 · ExternalCitation · doi-reference
Extreme Precipitation Events and Infectious Disease Risk: A Scoping Review and Framework for Infectious Respiratory Viruses
10.3390/ijerph19010165 · ExternalCitation · doi-reference
Low Temperature and Low UV Indexes Correlated with Peaks of Influenza Virus Activity in Northern Europe during 2010ß2018
10.3390/v11030207 · ExternalCitation · doi-reference
Association between Temperature and Influenza Activity across Different Regions of China during 2010-2017
10.3390/v15030594 · ExternalCitation · doi-reference
Randomized trial of vitamin D supplementation to prevent seasonal influenza A in schoolchildren
10.3945/ajcn.2009.29094 · ExternalCitation · doi-reference
Comparison of influenza surveillance data from the Republic of Korea, selected northern hemisphere countries and ß Hong Kong Special Administrative Region SAR (China) from 2012 to 2017
10.5365/wpsar.2019.10.2.015 · ExternalCitation · doi-reference
Long short-term memory recurrent neural network for pharmacokinetic-pharmacodynamic modeling
10.5414/cp203800 · ExternalCitation · doi-reference
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
10.7717/peerj-cs.623 · ExternalCitation · doi-reference
